Shows
DataFramed#335 Rebuilding Trust in the Digital Age with Jimmy Wales, Founder at WikipediaThe internet has transformed how we access information, but it's also created unprecedented challenges around trust and reliability. How do we build digital spaces where collaboration thrives and quality information prevails? What separates toxic online environments from productive ones? The principles of neutrality, transparency, and assuming good faith have proven essential in creating sustainable knowledge communities. But these same principles extend far beyond the digital realm—they're fundamental to effective leadership, successful business relationships, and even political discourse. When trust breaks down, everything becomes more difficult. So what practical steps can we take to foster trust in our organizations an...
2025-12-081h 02
DataFramed#331 The Future of Data & AI Education Just Arrived with Jonathan Cornelissen & Yusuf SaberThe future of education is being reshaped by AI-powered personalization. Traditional online learning platforms offer static content that doesn't adapt to individual needs, but new technologies are creating truly interactive experiences that respond to each learner's context, pace, and goals. How can personalized AI tutoring bridge the gap between mass education and the gold standard of one-on-one human tutoring? What if every professional could have a private tutor that understands their industry, role, and specific challenges? As organizations invest in upskilling their workforce, the question becomes: how can we leverage AI to make learning more engaging, effective, and accessible...
2025-11-1258 min
DataFramed#327 Building a Sales and Marketing Capability for Data Applications with Denise Persson, CMO at Snowflake, and Chris Degnan, former CRO at SnowflakeThe journey from startup to billion-dollar enterprise requires more than just a great product—it demands strategic alignment between sales and marketing. How do you identify your ideal customer profile when you're just starting out? What data signals help you find the twins of your successful early adopters? With AI now automating everything from competitive analysis to content creation, the traditional boundaries between departments are blurring. But what personality traits should you look for when building teams that can scale with your growth? And how do you ensure your data strategy supports rather than hinders your AI ambitions in th...
2025-10-2055 min
DataFramed#323 The Evolution of Data Literacy & AI Literacy with Jordan Morrow, Godfather of Data LiteracyData literacy and AI literacy are becoming essential skills in today's digital landscape. As organizations collect more data and deploy AI solutions, the ability to understand, interpret, and make decisions with these tools is increasingly valuable. But how do we develop these skills effectively across an organization? What does successful implementation of data and AI literacy programs look like in practice? The journey to becoming data literate doesn't require becoming a data scientist—it's about building confidence and comfort with data in your specific role. From change management strategies to measuring real value, understanding how to foster these skills ca...
2025-09-2548 min
DataFramedIndustry Roundup #6: GPT-5 Launch & Scaling Limits, Meta’s Chatbot Guidelines Leak, and AI Safety ConcernsWelcome to DataFramed Industry Roundups! In this series of episodes, we sit down to discuss the latest and greatest in data & AI. In this episode, with special guest, DataCamp Editor Alex, we touch upon the launch of GPT-5, scaling limits in AI, Meta’s leaked chatbot guidelines, trust in AI tools from the Stack Overflow survey, why OpenAI and Anthropic are giving models away to the US government, AI safety concerns around reasoning, and much more.Links Mentioned in the Show:GPT-5 Is an Evolution, Not a RevolutionMeta’s AI rules have let bots hold...
2025-08-2844 min
DataFramed#316 Enterprise AI Agents with Jun Qian, VP of Generative AI Services at OracleCombining LLMs with enterprise knowledge bases is creating powerful new agents that can transform business operations. These systems are dramatically improving on traditional chatbots by understanding context, following conversations naturally, and accessing up-to-date information. But how do you effectively manage the knowledge that powers these agents? What governance structures need to be in place before deployment? And as we look toward a future with physical AI and robotics, what fundamental computing challenges must we solve to ensure these technologies enhance rather than complicate our lives?Jun Qian is an accomplished technology leader with extensive experience in artificial...
2025-08-1856 min
DataFramedIndustry Roundup #5: AI Agents Hype vs. Reality, Meta’s $15B Stake in Scale AI, and the First Fully AI-Generated NBA AdWelcome to DataFramed Industry Roundups! In this series of episodes, we sit down to discuss the latest and greatest in data & AI. In this episode, with special guest, DataCamp COO Martijn, we touch upon the hype and reality of AI agents in business, the McKinsey vs. Ethan Mollick debate on simple vs. complex agents, Meta's $15B stake in Scale AI and what it means for data and talent, Apple’s rumored $20B bid for Perplexity amid AI struggles, EU’s push to treat AI skills like reading and math, the first fully AI-generated NBA ad and what it me...
2025-07-0353 min
DataFramed#300 End to End AI Application Development with Maxime Labonne, Head of Post-training at Liquid AI & Paul-Emil Iusztin, Founder at Decoding MLThe roles within AI engineering are as diverse as the challenges they tackle. From integrating models into larger systems to ensuring data quality, the day-to-day work of AI professionals is anything but routine. How do you navigate the complexities of deploying AI applications? What are the key steps from prototype to production? For those looking to refine their processes, understanding the full lifecycle of AI development is essential. Let's delve into the intricacies of AI engineering and the strategies that lead to successful implementation.Maxime Labonne is a Senior Staff Machine Learning Scientist at Liquid AI, serving...
2025-05-051h 00
DataFramed#277 How Generative AI is Changing Leadership with Christie Smith, Founder of the Humanity Institute and Kelly Monahan, Managing Director, Upwork Research InstituteLeadership is facing unprecedented challenges in today's socio-political and economic climate. As the lines between work and personal life blur, professionals are seeking workplaces that prioritize humanity and purpose. How can leaders create environments that support employee well-being and connection? With AI's growing presence, how do we balance technological integration with maintaining a human-centered approach?Dr. Christie Smith is a renowned leadership expert, visionary thinker, and founder of The Humanity Studio, a pioneering research and advisory institute dedicated to improving the way we live by revolutionizing the way we work. With over 35 years of experience advising Fortune 500...
2025-01-2348 min
DataFramed#276 Why Getting AI Ethics Right Really Matters with Christopher DiCarlo, Professor at University of Toronto, Senior Researcher and Ethicist at Convergence AnalysisAs AI advances at breakneck speed, the conversation around its potential risks and ethical implications grows louder. For professionals in the field, this raises important questions about responsibility and foresight. How do you ensure that AI systems align with human values? What role do ethics play in the development and deployment of these technologies? Let's delve into the pressing issues that could define the future of AI and its role in society.Dr. Christopher DiCarlo is a philosopher, educator, and author. He teaches philosophy at the University of Toronto. He also founded Critical Thinking Solutions, a business...
2025-01-2048 min
DataFramed#275 Did Gen AI Kill NLP? with Meri Nova, Technical Founder at Break into DataAs AI continues to advance, natural language processing (NLP) is at the forefront, transforming how businesses interact with data. From chatbots to document analysis, NLP offers numerous applications. But with the advent of generative AI, professionals face new challenges: When is it appropriate to use traditional NLP techniques versus more advanced models? How do you balance the costs and benefits of these technologies? Explore the strategic decisions and practical applications of NLP in the modern business world.Meri Nova is the founder of Break Into Data, a data careers company. Her work focuses on helping people switch...
2025-01-1639 min
DataFramed#274 Data Trends & Predictions 2025 with DataCamp's CEO & COO, Jonathan Cornelissen & Martijn Theuwissen2025 promises to be another transformative year for data and AI. From groundbreaking advancements in reasoning models to the rise of new challengers in generative AI, the field shows no signs of slowing down. Last week Jonathan and Martijn scored their 2024 predictions, and scored highly, but what's in store for 2025? Building on the insights from their 2024 predictions, we'll assess the future of generative AI, the evolving role of AI in education, the growing importance of synthetic data, and much more.In the episode, Richie, Jo, and Martijn discuss whether OpenAI and Google will maintain their dominance o...
2025-01-1345 min
DataFramed#273 Reviewing Our Data Trends & Predictions of 2024 with DataCamp's CEO & COO, Jonathan Cornelissen & Martijn Theuwissen2024 was another huge year for data and AI. Generative AI continued to shape the way we work and interact with technology, with companies of all sizes racing to integrate AI into their products. We saw strides in tools like AI-enhanced data science notebooks, rapid adoption of generative image AI, and a steady march toward video generation AI. At the same time, foundational skills like AI literacy and data governance gained traction as critical areas for individuals and organizations to master.This time last year, DataCamp Co-Founders Jonathan and Martijn made a series of predictions and data and...
2025-01-0931 min
DataFramed#272 The Unreasonable Effectiveness of AI in Software Development with Eran Yahav, CTO of TabnineAI is not just about writing code; it's about improving the entire software development process. From generating documentation to automating code reviews, AI tools are becoming indispensable. But how do you ensure the quality of AI-generated code? What strategies can you employ to maintain high standards while leveraging AI's capabilities? These are the questions developers must consider as they incorporate AI into their workflows.Eran Yahav is an associate professor at the Computer Science Department at the Technion – Israel Institute of Technology and co-founder and CTO of Tabnine (formerly Codota). Prior to that, he was a research st...
2025-01-0641 min
DataFramed#271 Creating High Quality AI Applications with Theresa Parker & Sudhi Balan, Rocket SoftwareAI features and products are the hottest area of software development. Creating high quality AI software is both essential and challenging for many businesses. In this episode, we look at retrieval augmented generation, an important technique for improving text generation quality in AI applications. Beyond technical measures, we look at the broader quality problem for AI applications. How do you ensure your AI applications are effective and secure? What steps should you take to integrate AI into your existing data governance frameworks? And how do you measure the success of these AI-driven solutions?Theresa Parker is the...
2025-01-0251 min
DataFramedBest of 2024: The Art of Prompt Engineering with Alex Banks, Founder and Educator, Sunday SignalAs we look back at 2024, we're highlighting some of our favourite episodes of the year, and with 100 of them to choose from, it wasn't easy!The four guests we'll be recapping with are:Lea Pica - A celebrity in the data storytelling and visualisation space. Richie and Lea cover the full picture of data presentation, how to understand your audience, how to leverage hollywood storytelling and more. Out December 19.Alex Banks - Founder of Sunday Signal. Adel and Alex cover Alex’s journey into AI and what led him to create Sunday Signal, the potential of AI, p...
2024-12-2344 min
DataFramed#270 Leadership in the AI Era with Dana Maor, Senior Partner at McKinsey & CompanyWe’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here.The modern leader faces unprecedented challenges, from managing a multi-generational workforce to integrating AI into daily operations. How can leaders cultivate a human-centric approach that fosters trust and innovation? What role does vulnerability play in effective leadership, and how can it coexist with the need for bold decision-making? As professionals strive to lead with authenticity, what strategies can help leaders raise the tide...
2024-12-1635 min
DataFramed#269 Governing Data Models with Sarah Levy, CEO and Co-Founder at EunoWe’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here.Imagine spending millions on data tools only to find you can’t trust the answers they provide. What if different teams define key metrics in different ways? Without a clear, unified approach, chaos reigns, and confidence erodes. What role do data governance and semantic layers play in helping you trust the AI tools you build and the insights you get from your data?
2024-12-1238 min
DataFramed#268 Scaling AI in the Enterprise with Abhas Ricky, Chief Strategy Officer at ClouderaWe’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here.AI adoption is not just about flashy innovations or big models. For businesses, it’s about solving real problems and driving measurable outcomes. That means aligning your data infrastructure, navigating compute costs, and understanding where AI adds the most value. How do enterprises prioritize their use cases? What role does hybrid play in scaling securely and efficiently? What’s the next frontier beyond g...
2024-12-0944 min
DataFramedIndustry Roundup #2: AI Agents for Data Work, The Return of the Full-Stack Data Scientist and Old languages Make a ComebackWelcome to DataFramed Industry Roundups! In this series of episodes, Adel & Richie sit down to discuss the latest and greatest in data & AI. In this episode, we touch upon AI agents for data work, will the full-stack data scientist make a return, old languages making a comeback, Python's increase in performance, what they're both thankful for, and much more. Links Mentioned in the ShowFractal’s Data Science Agent: AryaArticle: What Makes a True AI Agent? Rethinking the Pursuit of AutonomyCassie Kozyrkov on DataFramedTIOBE Index for November 2024Community discussion on FortranTutorial: High Performance Data Manipulation in Py...
2024-12-0628 min
DataFramed#267 No More NoSQL? How AI is Changing the Database with Sahir Azam, Chief Product Officer at MongoDBWe’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here.What makes a database modern, and why does it matter? In a world where we face countless choices, how do you build systems that not only scale but also make life easier for your teams? And with AI reshaping industries and workflows, how do businesses bridge the gap between legacy systems and cutting-edge applications?Sahir Azam is the Chief Product Offi...
2024-12-0544 min
DataFramed#266 Edge AI with Derek Collison & Justyna Bak, CEO & VP of Marketing at SynadiaWe’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here.Edge computing is poised to transform industries by bringing computation and data storage closer to the source of data generation. This shift unlocks new types of value creation with data & AI and allows for a privacy-first and deeply personalized use of AI on our devices. What will the edge computing transition look like? How do you ensure applications are edge-ready, and what is t...
2024-12-0239 min
DataFramed#265 What You Need to Know About the EU AI Act with Dan Nechita, EU Director at Transatlantic Policy NetworkWe’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here.With the EU AI Act coming into effect, the AI industry faces a pivotal moment. This regulation is a landmark step for AI governance and challenges data and AI teams to rethink their approach to AI development and deployment. How will this legislation influence the way AI systems are built and used? What are the key compliance requirements that organizations need to be a...
2024-11-2848 min
DataFramed#264 From Gen AI to Gen BI with Omri Kohl, CEO and Co-Founder of Pyramid AnalyticsWe’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here.The convergence of AI and business intelligence is creating new opportunities for innovation. As AI becomes more embedded in BI tools, the challenge lies in fostering a data-driven culture within organizations. How can professionals bridge the gap between intuition and data-driven decision-making? What strategies can be employed to cultivate a culture where data is at the forefront of business decisions? And how can...
2024-11-2549 min
DataFramedIndustry Roundup #1: OpenAI vs Anthropic, Claude Computer Use, NotebookLMWelcome to DataFramed Industry Roundups! In this series of episodes, Adel & Richie sit down to discuss the latest and greatest in data & AI. In this episode, we touch upon the brewing rivalry between OpenAI and Anthropic, discuss Claude's new computer use feature, Google's NotebookLM and how its implications for the UX/UI of AI products, and a lot more.Links mentioned in the show:Chatbot Arena LeaderboardNotebookLMAnthropic Computer UseIntroducing OpenAI o1-previewNew to DataCamp?Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with Da...
2024-11-2230 min
DataFramed#263 The Data to AI Journey with Gerrit Kazmaier, VP and GM of Data Analytics at Google CloudWe’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here.Integrating generative AI with robust databases is becoming essential. As organizations face a plethora of database options and AI tools, making informed decisions is crucial for enhancing customer experiences and operational efficiency. How do you ensure your AI systems are powered by high-quality data? And how can these choices impact your organization's success?Gerrit Kazmaier is the VP and GM of D...
2024-11-2155 min
DataFramed#262 Self-Service Business Intelligence with Sameer Al-Sakran, CEO at MetabaseWe’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here.We’re often caught chasing the dream of “self-serve” data—a place where data empowers stakeholders to answer their questions without a data expert at every turn. But what does it take to reach that point? How do you shape tools that empower teams to explore and act on data without the usual bottlenecks? And with the growing presence of natural language tools and AI...
2024-11-1851 min
DataFramed#261 Low Code Data Science with Michael Berthold, CEO and co-founder of KNIMEWe’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here.Data is no longer just for coders. With the rise of low-code tools, more people across organizations can access data insights without needing programming skills. But how can companies leverage these tools effectively? And what steps should they take to integrate them into existing workflows while upskilling their teams? Michael Berthold is CEO and co-founder at KNIME, an open source data...
2024-11-1434 min
DataFramed#258 Machine Learning for Ride Sharing at Lyft, with Rachita Naik, ML Engineer at LyftMachine learning and AI have become essential tools for delivering real-time solutions across industries. However, as these technologies scale, they bring their own set of challenges—complexity, data drift, latency, and the constant fight between innovation and reliability. How can we deploy models that not only enhance user experiences but also keep up with changing demands? And what does it take to ensure that these solutions are built to adapt, perform, and deliver value at scale?Rachita Naik is a Machine Learning (ML) Engineer at Lyft, Inc., and a recent graduate of Columbia University in New York. Wi...
2024-11-0437 min
DataFramed#257 Can You Use AI-Driven Pricing Ethically? with Jose Mendoza, Academic Director & Clinical Associate Professor at NYUAs AI continually changes how businesses operate, new questions emerge around ethics and privacy. Nowadays, algorithms can set prices and personalize offers, but how do companies ensure they’re doing this responsibly? What does it mean to be transparent with customers about data use, and how can businesses avoid unintended bias? Balancing innovation with trust is key, but achieving this balance isn’t always straightforward.Dr. Jose Mendoza is Academic Director and Clinical Associate Professor in Integrated Marketing at NYU, and was formerly an Associate Professor of Practice at The University of Arizona in Tucson, Arizona. His focu...
2024-11-0145 min
DataFramed#256 From Deep Learning to SuperIntelligence with Terry Sejnowski, Head of Computational Neurobiology at Salk InstituteWith the recent rapid advancements in AI comes the challenge of navigating an ever-changing field of play, while ensuring the tech we use serves real-world needs. As AI becomes more ingrained in business and everyday life, how do we balance cutting-edge development with practicality and ethical responsibility? What steps are necessary to ensure AI’s growth benefits society, aligns with human values, and avoids potential risks? What similarities can we draw between the way we think, and the way AI thinks for us?Terry Sejnowski is one of the most influential figures in computational neuroscience. At the Sa...
2024-10-2851 min
DataFramed#255 Not Only Vector Databases: Putting Databases at the Heart of AI, with Andi Gutmans, VP and GM of Databases at GoogleGenerative AI and data are more interconnected than ever. If you want quality in your AI product, you need to be connected to a database with high quality data. But with so many database options and new AI tools emerging, how do you ensure you’re making the right choices for your organization? Whether it’s enhancing customer experiences or improving operational efficiency, understanding the role of your databases in powering AI is crucial. Andi Gutmans is the General Manager and Vice President for Databases at Google. Andi’s focus is on building, managing, and scaling the most in...
2024-10-2446 min
DataFramed#254 Career Skills for Data Professionals with Wes Kao, Co-Founder of MavenMastering the technical side of data and AI is one thing, but communicating those insights effectively is a whole different challenge. How do you make sure your data is understood, acted upon, and influences decisions? It’s not just about presenting the right numbers—it’s about framing them in a way that resonates with different audiences. But how do you tailor your communication to different stakeholders and ensure your message cuts through? What strategies can you use to make your insights truly impactful?Wes Kao is an entrepreneur, marketer, coach, and advisor who writes at newsletter.weskao...
2024-10-2146 min
DataFramed#253 The Infrastructure Supporting the Data Revolution with Saad Siddiqui, General Partner at Titanium VenturesBuilding a robust data infrastructure is crucial for any organization looking to leverage AI and data-driven insights. But as your data ecosystem grows, so do the challenges of managing, securing, and scaling it. How do you ensure that your data infrastructure not only meets today’s needs but is also prepared for the rapid changes in technology tomorrow? What strategies can you adopt to keep your organization agile, while ensuring that your data investments continue to deliver value and support business goals?Saad Siddiqui is a venture capitalist for Titanium Ventures. Titanium focus on enterprise technology investments, pa...
2024-10-1738 min
DataFramed#252 Is Big Data Dead? MotherDuck and the Small Data Manifesto with Ryan Boyd Co-Founder at MotherDuckBusinesses are collecting more data than ever before. But is bigger always better? Many companies are starting to question whether massive datasets and complex infrastructure are truly delivering results or just adding unnecessary costs and complications. How can you make sure your data strategy is aligned with your actual needs? What if focusing on smaller, more manageable datasets could improve your efficiency and save resources, all while delivering the same insights?Ryan Boyd is the Co-Founder & VP, Marketing + DevRel at MotherDuck. Ryan started his career as a software engineer, but since has led DevRel teams for 15+ years...
2024-10-1449 min
DataFramed#251 The New Toolkit For CDOs with Adrian Estala, VP, Field Chief Data Officer at StarburstBusinesses are constantly racing to stay ahead by adopting the latest data tools and AI technologies. But with so many options and buzzwords, it’s easy to get lost in the excitement without knowing whether these tools truly serve your business. How can you ensure that your data stack is not only modern but sustainable and agile enough to adapt to changing needs? What does it take to build data products that deliver real value to your teams while driving innovation?Adrian Estala is VP, Field Chief Data Officer and the host of Starburst TV. With a ba...
2024-10-1149 min
DataFramed#250 How Data and AI are Changing Data Management with Jamie Lerner, CEO, President & Chairman at QuantumAI is becoming a key tool in industries far beyond just tech. From automating tasks in the movie industry to revolutionizing drug development in life sciences, AI is transforming how we work. But with this growth comes important questions: How is AI really impacting jobs? Are we just increasing efficiency, or are we replacing human roles? And how can companies effectively store and leverage the vast amounts of data being generated every day to gain a competitive advantage?Jamie Lerner is the President and CEO of Quantum, a company specializing in data storage, management, and protection. Since...
2024-10-0749 min
DataFramed#249 Towards Self-Service Data Engineering with Taylor Brown, Co-Founder and COO at FivetranThe sheer number of tools and technologies that can infiltrate your work processes can be overwhelming. Choosing the right ones to invest in is critical, but how do you know where to start? What steps should you take to build a solid, scalable data infrastructure that can handle the growth of your business? And with AI becoming a central focus for many organizations, how can you ensure that your data strategy is aligned to support these initiatives? It’s no longer just about managing data; it’s about future-proofing your organization.Taylor Brown is the COO and Co-F...
2024-10-0351 min
DataFramed#248 Effective Product Management for AI with Marily Nika, Gen AI Product Lead at Google AssistantBuilding and managing AI products comes with its own set of unique challenges. Especially when they are under intense scrutiny like mobile and home assistants have dealt with in recent years. From dealing with the unpredictable nature of machine learning models to ensuring that your product is both ethical and user-friendly, the path to success isn’t always clear. But how do you navigate these complexities and still deliver a product that meets business goals? What key steps can you take to align AI innovation with measurable outcomes and long-term success?Marily Nika is one of the wo...
2024-09-3042 min
DataFramed#247 Aligning AI with Enterprise Strategy with Leon Gordon, CEO at Onyx DataEvery organization today is exploring generative AI to drive value and push their business forward. But a common pitfall is that AI strategies often don’t align with business objectives, leading companies to chase flashy tools rather than focusing on what truly matters. How can you avoid these traps and ensure your AI efforts are not only innovative but also aligned with real business value? Leon Gordon, is a leader in data analytics and AI. A current Microsoft Data Platform MVP based in the UK, founder of Onyx Data. During the last decade, he has helped organizations imp...
2024-09-2640 min
DataFramed#246 AI and the Future of Art with Kent Keirsey, Founder & CEO at InvokeAI has rapidly emerged as an incredibly transformative technology, and nowhere has its impact been felt more unexpectedly than in the creative arts. Just a decade ago, few would have predicted that AI would evolve from automating routine tasks to generating paintings, music, and even poetry. Yet today, the role of AI in the arts has entered mainstream conversations, even contributing to the debates seen in last year’s Hollywood strikes. Kent Kersey is a creative technologist who has served as a Product and Business leader in startups across B2B, B2C, and Enterprise SaaS. He is...
2024-09-2347 min
DataFramed#244 Using Data to Optimize Costs in Healthcare with Travis Dalton and Jocelyn Jiang President/CEO & VP of Data & Decision Science at MultiPlanIn healthcare, data is becoming one of the most valuable tools for improving patient care and reducing costs. But with massive amounts of information and complex systems, how do organizations turn that data into actionable insights? How can AI and machine learning be used to create more transparency and help patients make better decisions? And more importantly, how can we ensure that these technologies make healthcare more efficient and affordable for everyone involved? Travis Dalton is the President and CEO at Multiplan overseeing the execution of the company's mission and growth strategy. He has 20 years of leadership e...
2024-09-1639 min
DataFramed#243 No-Code LLMs In Practice with Birago Jones & Karthik Dinakar, CEO & CTO at PiensoAs AI becomes more accessible, a growing question is: should machine learning experts always be the ones training models, or is there a better way to leverage other subject matter experts in the business who know the use-case best? What if getting started building AI apps required no coding skills? As businesses look to implement AI at scale, what part can no-code AI apps play in getting projects off the ground, and how feasible are smaller, tailored solutions for department specific use-cases?Birago Jones is the CEO at Pienso. Pienso is an AI platform that empowers subject m...
2024-09-1254 min
DataFramed#242 Data Storytelling for Kids with Cole Nussbaumer Knaflic, Founder and CEO of Storytelling with DataWe’ve all met someone with a limiting belief, someone who describes their relationship with data as: “I’m not a data person” or “I can’t tell a data story.” Oftentimes, this mindset starts in childhood. Data storytelling is an incredible vehicle to challenge and reshape these beliefs early on. Imagine if kids could develop the skills to ask the right questions, interpret data, and tell powerful stories with it from a young age. How can we introduce children to data storytelling in a fun and engaging way?Cole Nussbaumer Knaflic has always had a penchant for turning da...
2024-09-0950 min
DataFramed#241 Getting Generative AI Into Production with Lin Qiao, CEO and Co-Founder of Fireworks AILot’s of AI use-cases can start with big ideas and exciting possibilities, but turning those ideas into real results is where the challenge lies. How do you take a powerful model and make it work effectively in a specific business context? What steps are necessary to fine-tune and optimize your AI tools to deliver both performance and cost efficiency? And as AI continues to evolve, how do you stay ahead of the curve while ensuring that your solutions are scalable and sustainable? Lin Qiao is the CEO and Co-Founder of Fireworks AI. She previously worked at Met...
2024-09-0544 min
DataFramed#240 Generative AI in the Enterprise with Steve Holden, Senior Vice President and Head of Single-Family Analytics at Fannie MaeThe rapid rise of generative AI is changing how businesses operate, but with this change comes new challenges. How do you navigate the balance between innovation and risk, especially in a regulated industry? As organizations race to adopt AI, it’s crucial to ensure that these technologies are not only transformative but also responsible. What steps can you take to harness AI’s potential while maintaining control and transparency? And how can you build excitement and trust around AI within your organization, ensuring that everyone is ready to embrace this new era?Steve Holden is the Senior Vice...
2024-09-0239 min
DataFramed#239 New Models for Digital Transformation with Alison McCauley Chief Advocacy Officer at Think with AI & Founder of Unblocked FutureThe pressure to innovate with AI is immense. There is seemingly a race against the clock for organizations to incorporate AI into their product offering, aside from continual digital transformation. As the speed of AI development accelerates, many organizations struggle to keep up, facing challenges from data readiness to changing traditional business processes. How can businesses ensure that their AI initiatives not only align with strategic goals but also foster real, tangible progress? What steps can leaders take to build AI fluency across their teams and turn potential into actionable outcomes?Alison McCauley is a Best-Selling Author...
2024-08-2951 min
DataFramed#238 Data & AI for Improving Patient Outcomes with Terry Myerson, CEO at TruvetaOne of the prerequisites for being able to do great data analyses is that the data is well structured and clean and high quality. For individual projects, this is often annoying to get right. On a corporate level, it’s often a huge blocker to productivity. And then there’s healthcare data. When you consider all the healthcare records across the USA, or any other country for that matter, there are so many data formats created by so many different organizations, it’s frankly a horrendous mess. This is a big problem because there’s a treasure trove of data tha...
2024-08-2640 min
DataFramed#237 Guardrails for the Future of AI with Viktor Mayer-Schönberger, Professor of Internet Governance and Regulation at the University of OxfordGuardrails are not something we actively use in our day-to-day lives, they’re in place to keep us safe when we lack the control needed to keep us on course, and for that, they are essential. Navigating the complexities of decision-making in AI and data can be challenging, especially on a global scale when many are searching for any sort of competitive advantage. Every choice you make can have significant impacts, and having the right frameworks, ethics and guardrails in place are crucial. But how do you create systems that guide decisions without stifling creativity or flexibility? What practices ca...
2024-08-2250 min
DataFramed#236 Optimizing Sales Using AI with Ellie Fields, CPEO at SalesloftDoing sales better is perhaps the most direct route to making more revenue, so it should be a priority for every business. B2B sales is often very complex, with a mix of emails and video calls and prospects interacting with your website and social content. And you often have multiple people making decisions about a purchase. All this generates a massive data—or, more accurately, a mess of data—which very few sales teams manage to harness effectively. How can sales teams can make use of data, software, and AI to clean up this mess, work more effectively, and...
2024-08-1942 min
DataFramed#235 Developing Generative AI Applications with Dmitry Shapiro, CEO of MindStudioOne of the big use cases of generative AI is having small applications to solve specific tasks. These are known as AI agents or AI assistants. Since they’re small and narrow in scope, you probably want to create and use lots of them, which means you need to be able to create them cheaply and easily. I’m curious as to how you go about doing this from an organizational point of view. Who needs to be involved? What’s the workflow and what technology do you need?Dmitry Shapiro is the CEO of MindStudio. He was pr...
2024-08-1546 min
DataFramed#234 High Performance Generative AI Applications with Ram Sriharsha, CTO at PineconePerhaps the biggest complaint about generative AI is hallucination. If the text you want to generate involves facts, for example, a chatbot that answers questions, then hallucination is a problem. The solution to this is to make use of a technique called retrieval augmented generation, where you store facts in a vector database and retrieve the most appropriate ones to send to the large language model to help it give accurate responses. So, what goes into building vector databases and how do they improve LLM performance so much?Ram Sriharsha is currently the CTO at Pinecone. Before...
2024-08-1243 min
DataFramed#233 Generative AI at EY with John Thompson, Head of AI at EYBy now, many of us are convinced that generative AI chatbots like ChatGPT are useful at work. However, many executives are rightfully worried about the risks from having business and customer conversations recorded by AI chatbot platforms. Some privacy and security-conscious organizations are going so far as to block these AI platforms completely. For organizations such as EY, a company that derives value from its intellectual property, leaders need to strike a balance between privacy and productivity. John Thompson runs the department for the ideation, design, development, implementation, & use of innovative Generative AI, Traditional AI, & Causal AI s...
2024-08-0840 min
DataFramed#232 How are Businesses Really Using AI? With Tathagat Varma, Global TechOps Leader at Walmart Global TechThere’s been a lot of pressure to add AI to almost every digital tool and service recently, and two years into the AI hype cycle, we’re seeing two types of problems. The first is organizations that haven’t done much yet with AI because they don’t know where to start. The second is organizations that rushed into AI and failed because they didn’t know what they were doing. Both are symptoms of the same problem: not having an AI strategy and not understanding how to tactically implement AI. There’s a lot to consider around choosing the...
2024-08-051h 00
DataFramed#231 Manage Your Data Better with Shinji Kim, CEO at Select StarOne of the most annoying conversations about data that happens far too often is: “Can you do an analysis and answer this business problem for me?” “Sure, where’s the data?” “I don’t know. Probably in one of our databases.” At this point more time is spent hunting for data than actually analyzing it. Rather than grumbling about it, it would obviously be more productive to learn how to solve data discoverability issues. What’s the best way to properly document data sets? How can you avoid spending all your time maintaining dashboards that no one actually uses? Shinji Kim is...
2024-08-0145 min
DataFramed#230 Scaling Experimentation at American Express with Amit Mondal, VP & Head of Digital Analytics & Experimentation at American ExpressOne of the best applications of data science is that it allows experimentation within any organization at scale. The ability to test a new checkout feature, the color of a button, and analyze whether that improves customer experiences can be truly magical when done correctly. However, doing this at scale means that the entire organization needs to be bought into the experimentation agenda. So how do you do this and how do you make sure this becomes part of your organization’s culture?Amit Mondal is the VP & Head of Digital Analytics & Experimentation at American Express. Throughout hi...
2024-07-2940 min
DataFramed#230 Scaling Experimentation at American Express with Amit Mondal, VP & Head of Digital Analytics & Experimentation at American ExpressOne of the best applications of data science is that it allows experimentation within any organization at scale. The ability to test a new checkout feature, the color of a button, and analyze whether that improves customer experiences can be truly magical when done correctly. However, doing this at scale means that the entire organization needs to be bought into the experimentation agenda. So how do you do this and how do you make sure this becomes part of your organization’s culture?Amit Mondal is the VP & Head of Digital Analytics & Experimentation at American Express. Throughout hi...
2024-07-2939 min
DataFramed#229 Inside Meta's Biggest and Best Open-Source AI Model Yet with Thomas Scialom, Co-Creator of Llama3Meta has been at the absolute edge of the open-source AI ecosystem, and with the recent release of Llama 3.1, they have officially created the largest open-source model to date. So, what's the secret behind the performance gains of Llama 3.1? What will the future of open-source AI look like?Thomas Scialom is a Senior Staff Research Scientist (LLMs) at Meta AI, and is one of the co-creators of the Llama family of models. Prior to joining Meta, Thomas worked as a Teacher, Lecturer, Speaker and Quant Trading Researcher. In the episode, Adel and Thomas explore Llama 405B...
2024-07-2539 min
DataFramed#228 Are Spreadsheets Still Relevant For Data Analysis? with Jordan Goldmeier, Author of Data SmartExcel often gets unfair criticism from data practitioners, many of us will remember a time when Excel was looked down upon—why would anyone use Excel when we have powerful tools like Python, R, SQL, or BI tools? However, like it or not, Excel is here to stay, and there’s a meme, bordering on reality, that Excel is carrying a large chunk of the world’s GDP. But when it really comes down to it, can you do data science in Excel?Jordan Goldmeier is an entrepreneur, a consultant, a best-selling author of four books on data, a...
2024-07-2235 min
DataFramed#227 DataFramed x Analytics On Fire: Riding the AI Hype Cycle with Mico Yuk, Co-Founder at Data Storytelling AcademyThis special episode of DataFramed was made in collaboration with Analytics on Fire! Nowadays, the hype around generative AI is only the tip of the iceberg. There are so many ideas being touted as the next big thing that it’s difficult to keep up. More importantly, it’s challenging to discern which ideas will become the next ChatGPT and which will end up like the next NFT. How do we cut through the noise?Mico Yuk is the Community Manager at Acryl Data and Co-Founder at Data Storytelling Academy. Mico is also an SAP Mentor Alumni, and...
2024-07-1857 min
DataFramed#226 Creating Custom LLMs with Vincent Granville, Founder, CEO & Chief Al Scientist at GenAltechLab.comDespite GPT, Claude, Gemini, LLama and the other host of LLMs that we have access to, a variety of organizations are still exploring their options when it comes to custom LLMs. Logging in to ChatGPT is easy enough, and so is creating a 'custom' openAI GPT, but what does it take to create a truly custom LLM? When and why might this be useful, and will it be worth the effort?Vincent Granville is a pioneer in the AI and machine learning space, he is Co-Founder of Data Science Central, Founder of MLTechniques.com, former VC-funded executive...
2024-07-1552 min
DataFramed#225 The Full Stack Data Scientist with Savin Goyal, Co-Founder & CTO at OuterboundsThe role of the data scientist is changing. Some organizations are splitting the role into more narrowly focused jobs, while others are broadening it. The latter approach, known as the Full Stack Data Scientist, is derived from the concept of a full stack software engineer, with this role often including software engineering tasks. In particular, one of the key functions of a full stack data scientist is to take machine learning models and get them into production inside software. So, what separates projects from production?Savin Goyal is the Co-Founder & CTO at Outerbounds. In addition to his...
2024-07-1148 min
DataFramed#224 What History Tells Us About the Future of AI with Verity Harding, Author of AI Needs YouConversations about the future of AI tend to be rather divisive, with opinions ranging from artificial superintelligence arriving to save the world, or to eradicate humanity. There's a sense that the latter is undesirable and that something ought to be done to prevent it. In order to get from that vague feeling to having steps that are practical in order to shape the future of AI, we can draw lessons from history. Looking back, to look ahead. Verity Harding is a globally recognised leader at the intersection of technology, politics and public policy. She is Founder of F...
2024-07-0839 min
DataFramed#223 [Radar Recap] Charting the Path: What the Future Holds for Generative AIGenerative AI is here to stay, fundamentally altering our relationship with technology. But what does its future hold? In this session, Tom Tunguz, General Partner at Theory Ventures, Edo Liberty, CEO at Pinecone, and Nick Elprin, CEO at Domino Data Lab, explore how generative AI tools & technologies will evolve in the months and years to come. They navigate through emerging trends, potential breakthrough applications, and the strategic implications for businesses poised to capitalize on this technological wave. Links Mentioned in the Show:Rewatch Session from RADAR: AI EditionNew to DataCamp?Learn on t...
2024-07-0438 min
DataFramed#222 [Radar Recap] Scaling Data Quality in the Age of Generative AIGenerative AI's transformative power underscores the critical need for high-quality data. In this session, Barr Moses, CEO of Monte Carlo Data, Prukalpa Sankar, Cofounder at Atlan, and George Fraser, CEO at Fivetran, discuss the nuances of scaling data quality for generative AI applications, highlighting the unique challenges and considerations that come into play. Throughout the session, they share best practices for data and AI leaders to navigate these challenges, ensuring that governance remains a focal point even amid the AI hype cycle.Links Mentioned in the Show:Rewatch Session from RADAR: AI EditionNew...
2024-07-0341 min
DataFramed#221 [Radar Recap] The Future of Programming: Accelerating Coding Workflows with LLMsFrom data science to software engineering, Large Language Models (LLMs) have emerged as pivotal tools in shaping the future of programming. In this session, Michele Catasta, VP of AI at Replit, Jordan Tigani, CEO at Motherduck, and Ryan J. Salva, VP of Product at GitHub, will explore practical applications of LLMs in coding workflows, how to best approach integrating AI into the workflows of data teams, what the future holds for AI-assisted coding, and a lot more.Links Mentioned in the Show:Rewatch Session from RADAR: AI EditionNew to DataCamp?Learn on...
2024-07-0245 min
DataFramed#220 [Radar Recap] Building Tomorrow's Workforce, Today: Scaling Internal AI AcademiesAs AI continues to be a critical driver of innovation and competitive advantage, the imperative for organizations to upskill their workforce in this domain has never been more pressing. In this session, Mike Baylor, Vice President & CDAO at Lockheed Martin, Carolann Diskin, Senior Technical Program Manager at Dropbox, and Giorleny Altamirano Rayo, Chief Data Scientist at U.S. Department of State, outline the critical steps to creating a successful AI upskilling program within your organization. They focus on best practices for building internal AI academies, from curriculum development to engagement strategies and measuring impact. This session covers everything you...
2024-07-0137 min
DataFramed#219 Building a Data Platform that Drives Value with Shuang Li, Group Product Manager at BoxWhether big or small, one of the biggest challenges organizations face when they want to work with data effectively is often lack of access to it. This is where building a data platform comes in. But building a data platform is no easy feat. It's not just about centralizing data in the data warehouse, it’s also about making sure that data is actionable, trustable and usable. So, how do you make sure your data platform is up to par?Shuang Li is Group Product Manager at Box. With experience of building data, analytics, ML, and observability pl...
2024-06-2741 min
DataFramed#218 Designing AI Applications with Robb Wilson, Co-Founder & CEO at Onereach.aiAll the hype around generative AI means that every software maker seems to be stuffing chat interfaces into their products whenever they can. For the most part, the jury is still out on whether this is a good idea or not. However, design goes deeper than just the user interface, so it’s also useful to know about how the designs interact with the rest of the software. Once you move beyond chatbots into things like agents, there are also thorny questions around which bits of your workflow should still be done by a human, and which bits can be...
2024-06-2446 min
DataFramed#217 Data & AI at Tesco with Venkat Raghavan, Director of Analytics and Science at TescoLoyalty schemes are a hallmark of established retailers—not only do they build consumer trust, they are intelligent and constantly evolving, and Tesco’s Clubcard is the UK’s favorite retail loyalty program. The effects of these discounts are far-reaching, especially for families who rely on getting the best deals to make the most of their money. As Tesco’s tagline goes, every little helps. In turn, the identification and specific details of discounted products can have a profound impact on how consumers view the largest supermarket retailer in the United Kingdom, as well as the operational costs and profits...
2024-06-2043 min
DataFramed#216 Perplexity & the Future of AI with Denis Yarats, Co-Founder and CTO at Perplexity AIArguably one of the verticals that is both at the same time most ripe for disruption by AI and the hardest to disrupt is search. We've seen many attempts at reimagining search using AI, and many are trying to usurp Google from its throne as the top search engine on the planet, but I think no one is laying the case better for AI assisted search than perplexity. AI. Perplexity doesn't need an introduction. It is an AI powered search engine that lets you get the information you need as fast as possible.Denis Yarats is the...
2024-06-1736 min
DataFramed#215 Seeing the Data Layer Through Spatial Computing with Cathy Hackl and Irena CroninSpatial computing is revolutionizing the way we interact with digital and physical worlds, but its adoption comes with questions about practicality and return on investment. As businesses explore this cutting-edge technology, they must consider how it can enhance productivity and streamline operations. What are the best strategies to integrate spatial computing into your current systems? How can you ensure that it not only boosts efficiency but also delivers measurable benefits to your bottom line? Cathy Hackl is a web3 and metaverse strategist, tech futurist, speaker and author. She's worked with metaverse-related companies such as HTC VIVE, Magic L...
2024-06-1352 min
DataFramed#214 Learning & Memory, For Brains & AI, with Kim Stachenfeld, Senior Research Scientist at Google DeepMindMemory, the foundation of human intelligence, is still one of the most complex and mysterious aspects of the brain. Despite decades of research, we've only scratched the surface of understanding how our memories are formed, stored, and retrieved. But what if AI could help us crack the code on memory? How might AI be the key to unlocking problems that have evaded human cognition for so long?Kim Stachenfeld is a Senior Research Scientist at Google DeepMind in NYC and Affiliate Faculty at the Center for Theoretical Neuroscience at Columbia University. Her research covers topics in Neuroscience a...
2024-06-1044 min
DataFramed#213 Building Trust Through Data with Prukalpa Sankar, Co-Founder of AtlanIn the fast-paced work environments we are used to, the ability to quickly find and understand data is essential. Data professionals can often spend more time searching for data than analyzing it, which can hinder business progress. Innovations like data catalogs and automated lineage systems are transforming data management, making it easier to ensure data quality, trust, and compliance. By creating a strong metadata foundation and integrating these tools into existing workflows, organizations can enhance decision-making and operational efficiency. But how did this all come to be, who is driving better access and collaboration through data?Prukalpa...
2024-06-0649 min
DataFramed#212 The History of Data and AI, and Where It's Headed with Cristina Alaimo, Assistant Professor at Luiss Guido Carli UniversityOne thing we like to do on DataFramed is cover the current state of data & AI, and how it will change in the future. But sometimes to really understand the present and the future, we need to look into the past. We need to understand just exactly how data became so foundational to modern society and organizations, how previous paradigm shifts can help inform us about future ones, and how data & AI became powerful social forces within our lives.Cristina Alaimo is Assistant Professor (Research) of Digital Economy and Society at LUISS University, Rome. She co-wrote the...
2024-06-0350 min
DataFramed#211 What is AIOps? With Assaf Resnick, Co-Founder & CEO of BigPandaIn today's fast-paced digital world, managing IT operations is more complex than ever. With the rise of cloud services, microservices, and constant software deployments, the pressure on IT teams to keep everything running smoothly is immense. But how do you keep up with the ever-growing flood of data and ensure your systems are always available? AIOps is the use of artificial intelligence to automate and scale IT operations. But what exactly is AIOps, and how can it transform your IT operations?Assaf Resnick is the CEO and Co-Founder of BigPanda. Before founding BigPanda, Assaf was an investor...
2024-05-3035 min
DataFramed#210 Trust and Regulation in AI with Bruce Schneier, Internationally Renowned Security TechnologistTrust is the foundation of any relationship, whether it's between friends or in business. But what happens when the entity you're asked to trust isn't human, but AI? How do you ensure that the AI systems you're developing are not only effective but also trustworthy? In a world where AI is increasingly making decisions that impact our lives, how can we distinguish between systems that genuinely serve our interests and those that might exploit our data? Bruce Schneier is an internationally renowned security technologist, called a “security guru” by The Economist. He is the author of over one d...
2024-05-2741 min
DataFramed#209 Effective Data Engineering with Liya Aizenberg, Director of Data Engineering at AwayBuilding a successful data engineering team involves more than just hiring skilled individuals—it requires fostering a culture of trust, collaboration, and continuous learning. But how do you start from scratch and create a team that not only meets technical demands but also drives business value? What key traits should you look for in your early hires, and how do you ensure your team’s projects align with the company’s goals?Liya Aizenberg is Director of Data Engineering at Away and a seasoned data leader with over 22 years of experience spearheading innovation in scalable data engineering pipeli...
2024-05-2326 min
DataFramed#208 Monetizing Data & AI with Vin Vashishta, Founder & AI Advisor at V Squared, & Tiffany Perkins-Munn, MD & Head of Data & Analytics at JPMCEverything in the world has a price, including improving and scaling your data and AI functions. That means that at some point someone will question the ROI of your projects, and often, these projects will be looked at under the lens of monetization. But how do you ensure that what you’re working on is not only providing value to the business but also creating financial gain? What conditions need to be met to prove your project's success and turn value into cash?Vin Vashishta is the author of ‘From Data to Profit’ (Wiley), the playbook for moneti...
2024-05-201h 01
DataFramed#207 Data Driven Venture Capital with Andre Retterath, Partner at Earlybird VCAs we close out our focus on how the venture capital industry identifies and decides which future companies to fund, it might be easy to fall into the trap of thinking that the latest methods for discovering future unicorns are ubiquitous among all VCs. However, many VCs still work ‘the old way,’ using data to back up human assumptions. But what happens when a data engineer pivots to VC? What does a data-driven, data-first approach look like, and how does it compare to the incumbent processes?Dr. Andre Retterath is a Partner in Earlybird’s Munich Office, focuss...
2024-05-1652 min
DataFramed#206 The Venture Mindset with Ilya Strebulaev, Economist & Professor at Stanford Graduate School of BusinessIn almost every industry, the rate of innovation is increasing, and this is great for consumers around the globe. However, with constant innovation and continual disruption of the status quo, where to innovate next becomes much harder to identify. If your industry hasn’t been disrupted yet, it’s next on the list. So, in order to deal with uncertainty, a new culture is needed, and there’s a clear group of companies that constantly deal with uncertainty and innovation—VC’s. Ilya A. Strebulaev is the David S. Lobel Professor of Private Equity and Professor of Finance at...
2024-05-131h 00
DataFramed#204 Data & AI Trends in 2024, with Tom Tunguz, General Partner at Theory VenturesRapid change seems to be the new norm within the data and AI space, and due to the ecosystem constantly changing, it can be tricky to keep up. Fortunately, any self-respecting venture capitalist looking into data and AI will stay on top of what’s changing and where the next big breakthroughs are likely to come from. We all want to know which important trends are emerging and how we can take advantage of them, so why not learn from a leading VC. Tomasz Tunguz is a General Partner at Theory Ventures, a $235m early-stage venture capital fir...
2024-05-0638 min
DataFramed#203 How a Chief AI Officer Works with Philipp Herzig, Chief AI Officer at SAPWith seemingly every organization wanting to enhance their AI capabilities, questions arise about who should be in charge of these initiatives. At the moment, it’s likely a CTO, CIO, or CDO, or a mixture of the three. The gold standard is to have someone in the C-suite whose sole focus is their AI projects: the Chief AI Officer. This role is so new that it's not yet widely understood. In this episode, we explore what the CAIO job entails.Philipp Herzig is the Chief AI Officer at SAP. He’s held a variety of roles within SAP...
2024-05-0233 min
DataFramed#202 Making Data Governance Fun with Tiankai Feng, Data Strategy & Data Governance Lead at ThoughtWorksCountless companies invest in their data quality, but often, the effort from their investment is not fully realized in the output. It seems like, despite the critical importance of data quality, data governance might be suffering from a branding issue. Data governance is sometimes looked at as the data police, but this is far from the truth. So, how can we change perspectives and introduce fun into data governance?Tiankai Feng is a Principal Data Consultant and Data Strategy & Data Governance Lead at Thoughtworks, He also works part-time as the Head of Marketing at DAMA Germany. Tiankai...
2024-04-2940 min
DataFramed#201 The Database is the Operating System with Mike Stonebraker, CTO & Co-Founder At DBOSDatabases are ubiquitous, and you don’t need to be a data practitioner to know that all data everywhere is stored in a database—or is it? While the majority of data around the world lives in a database, the data that helps run the heart of our operating systems—the core functions of our computers— is not stored in the same place as everywhere else. This is due to database storage sitting ‘above’ the operating system, requiring the OS to run before the databases can be used. But what if the OS was built ‘on top’ of a database? What d...
2024-04-2540 min
DataFramed#200 50 Years of SQL with Don Chamberlin, Computer Scientist and Co-Inventor of SQLOver the past 199 episodes of DataFramed, we’ve heard from people at the forefront of data and AI, and over the past year we’ve constantly looked ahead to the future AI might bring. But all of the technologies and ways of working we’ve witnessed have been built on foundations that were laid decades ago. For our 200th episode, we’re bringing you a special guest and taking a walk down memory lane—to the creation and development of one of the most popular programming languages in the world.Don Chamberlin is renowned as the co-inventor of SQL (St...
2024-04-2236 min
DataFramed#199 Creating an AI-First Culture with Sanjay Srivastava, Chief Digital Strategist at GenpactLast year saw the proliferation of countless AI tools and initiatives, many companies looked to find ways where AI could be leveraged to reduce operational costs and pressure wherever possible. 2023 was a year of experimentation for anyone trying to harness AI, but we can’t walk forever. To keep up with the rapidly changing landscape in business, last year’s experiments with AI need to find their feet and allow us to run. But how do we know which initiatives are worth fully investing in? Will your company culture impede the change management that is necessary to fully adopt AI?
2024-04-1837 min
DataFramed#198 How Walmart Leverages Data & AI with Swati Kirti, Sr Director of Data Science at WalmartThere aren’t many retail giants like Walmart. In fact, there are none. The multinational generates 650bn in revenue, (including 50bn in eCommerce)—the highest revenue of any retailer globally. With over 10,000 stores worldwide and a constantly evolving product line, Walmart’s data & AI function has a lot to contend with when it comes to customer experience, demand forecasting, supply chain optimization and where to use AI effectively. So how do they do it? What can we learn from one of the most successful and well-known organizations on the planet?Swati Kirti is a Senior Director of Data S...
2024-04-1631 min
DataFramed#197 The Future of Programming with Kyle Daigle, COO at GitHubGenerative AI has had a wide range of uses, but some of its strongest use cases are in coding and programming. One of the companies that has been leading the way in AI-assisted programming has been GitHub with GitHub CoPilot. Many software engineering teams now have tools like CoPilot embedded into their workflows, but what does this mean for the future of programming?Kyle Daigle is the COO of GitHub, leading the strategic initiatives, operations, and innovation of the world's largest platform for software development and collaboration. With over 10 years of experience at GitHub, Kyle has a...
2024-04-1149 min
DataFramed#196 The Art of Prompt Engineering with Alex Banks, Founder and Educator, Sunday SignalSince the launch of ChatGPT, one of the trending terms outside of ChatGPT itself has been prompt engineering. This act of carefully crafting your instructions is treated as alchemy by some and science by others. So what makes an effective prompt?Alex Banks has been building and scaling AI products since 2021. He writes Sunday Signal, a newsletter offering a blend of AI advancements and broader thought-provoking insights. His expertise extends to social media platforms on X/Twitter and LinkedIn, where he educates a diverse audience on leveraging AI to enhance productivity and transform daily life....
2024-04-0844 min
DataFramed#191 How Generative AI is Changing Business and Society with Bernard Marr, AI Advisor, Best-Selling Author, and FuturistEveryone has seen the reach and impact of generative AI, and with countless use-cases across a variety of fields, the question is often not "can we do things with AI?", but rather "what should we do with AI?". What are the key areas where generative AI has had a profound impact already? Which economies, industries, and businesses have taken full advantage of the abilities of GenAI already? It takes a lot of wisdom and experience within the data & AI space to distill high-level insights from such a rapidly changing world, but, luckily we have one of the best people...
2024-03-2549 min
DataFramed#190 How Data Leaders Can Make Data Governance a Priority with Saurabh Gupta, Chief Strategy & Revenue Officer at The Modern Data CompanyThere is a concept in software engineering which is called ‘shifting left’, this focuses on testing software a lot earlier in the development lifecycle than you would normally expect it to. This helps teams building the software create better rituals and processes, while also ensuring quality and usability are key aspects to evaluate as the software is being built. We know this works in software development, but what happens when these practices are used when building AI tools?Saurabh Gupta is a seasoned technology executive and is currently Chief Strategy & Revenue Officer The Modern Data Company. With over...
2024-03-2241 min
DataFramed#189 From BI to AI with Nick Magnuson, Head of AI at QlikGenerative AI has made a mark everywhere, including BI platforms, but how can you combine AI and BI together? What effects can this have across organizations? With constituent aspects such as data quality, your AI strategy, and the specific use-case you’re trying to solve, it’s important to get the full picture and tread with intent. What are the subtleties that we need to get right in order for this marriage to work to its full potential?Nick Magnuson is the Head of AI at Qlik, executing the organization’s AI strategy, solution development, and innovation. Prior...
2024-03-2044 min
DataFramed#188 Scaling Enterprise Analytics with Libby Duane Adams, Chief Advocacy Officer and Co-Founder of AlteryxDespite the critical role of analytics in guiding business decisions, organizations continue to face significant challenges in harnessing its full potential. As data sets expand and deadlines shrink, the urgency to scale analytics processes becomes paramount. What data leaders now need to focus on are essential strategies for analytics at scale, including fostering a culture of continuous learning, prioritizing data governance, and leveraging generative AI.Libby Duane Adams is the Chief Advocacy Officer and co-founder of Alteryx. She is responsible for strengthening upskilling and reskilling efforts for Alteryx customers to enable a culture of analytics, scaling the...
2024-03-1843 min
DataFramed#187 The Power of Vector Databases and Semantic Search with Elan Dekel, VP of Product at PineconeGenerative AI is fantastic but has a major problem: sometimes it "hallucinates", meaning it makes things up. In a business product like a chatbot, this can be disastrous. Vector databases like Pinecone are one of the solutions to mitigating the problem.Vector databases are a key component to any AI application, as well as things like enterprise search and document search. They have become an essential tool for every business, and with the rise in interest in AI in the last couple of years, the space is moving quickly. In this episode, you'll find out how to...
2024-03-1137 min
DataFramed#185 Becoming Remarkable with Guy Kawasaki, Author and Chief Evangelist at CanvaRemarkable people walk among us. Some of us may be remarkable ourselves. But none of us start out remarkable. The journey to becoming a person that makes a difference in the world is never easy, as with any story that includes a hero, there are struggles, tests and moments of self-doubt. Remarkable people overcome these feats, and when they are in a position to, they give back. But what kind of mindset do these people have, how do they make decisions? What keeps them on their path towards becoming remarkable. Guy Kawasaki is the chief evangelist of C...
2024-02-2656 min
DataFramed#180 How AI is Changing Cybersecurity with Brian Murphy, CEO of ReliaQuestJust as many of us have been using generative AI tools to make us more productive at work, so have bad actors. Generative AI makes it much easier to create fake yet convincing text and images that can be used to deceive and harm. We’ve already seen lots of high-profile attempts to leverage AI in phishing campaigns, and this is putting more pressure on cybersecurity teams to get ahead of the curve and combat these new forms of threats. However, AI is also helping those that work in cybersec to be more productive and better equip themselves to cr...
2024-02-1232 min
DataFramed#176 Data Trends & Predictions 2024 with DataCamp's CEO & COO, Jo Cornelissen & Martijn Theuwissen2023 was a huge year for data and AI. Everyone who didn't live under a rock started using generative AI, and much was teased by companies like OpenAI, Microsoft, Google and Meta. We saw the millions of different use cases generative AI could be applied to, as well as the iterations we could expect from the AI space, such as connected multi-modal models, LLMs in mobile devices and formal legislation. But what has this meant for DataCamp? What will we do to facilitate learners and organizations around the world in staying ahead of the curve?In this special...
2024-01-2532 min
DataFramed#120 Data Trends & Predictions for 2023In 2022, we saw significant developments in the field of data. From the emergence of generative AI to the growth of low-code data tools and AI assistants—these advancements signal an upcoming paradigm shift, where data-powered tools and machine learning systems will radically transform workflows across various professions.2022 also saw digital transformation remain a major theme for organizations across industries as they sought to embrace new ways of working, reaching customers, and providing value. As 2023’s looming economic uncertainty puts pressure on organizations to maximize ROI from their investments, digital and data transformation will continue to be one of t...
2023-01-0939 min
DataFramed#63 The Past and Present of Data ScienceIn this episode of DataFramed, Adel speaks with Sergey Fogelson, Vice President of Data Science and Modeling at Viacom on how data science has evolved over the past decade, and the remaining large-scale challenges facing data teams today.
Throughout the episode, Sergey deep-dives into his background, the various projects he’s been involved with throughout his career, the most exciting advances he’s seen in the data science space, the largest challenges facing data teams today, best practices democratizing data, the importance of learning SQL, and more.
Relevant links from the interview:
Con...
2021-05-311h 07