Shows
Thornton$$EBOOK ?? The Self-Service Data Roadmap: Democratize Data and Reduce Time to Insight PDFTo Download or Read The Self-Service Data Roadmap: Democratize Data and Reduce Time to Insight by Sandeep Uttamchandani
Visit Link Bellow
You Can Download Or Read Free Books
Link To Download => https://starmedia.my.id/?book=1492075256
Available versions: EPUB, PDF, MOBI, DOC, Kindle, Audiobook, etc.
read (PDF) The Self-Service Data Roadmap: Democratize Data and Reduce Time to Insight pdf
read (PDF) The Self-Service Data Roadmap: Democratize Data and Reduce Time to Insight ebook
read (PDF) The Self-Service Data Roadmap: Democratize Data and Reduce Time to Insight PDF [All Chapters]
2025-09-0300 min
GOTO - The Brightest Minds in TechData Mesh: Data-Driven Value at Scale • Zhamak Dehghani & Samia RahmanThis interview was recorded for the GOTO Book Club.gotopia.tech/bookclubZhamak Dehghani - Author of "Data Mesh" & Director of Emerging Technologies at ThoughtworksSamia Rahman - Director of Data & AI at SeagenDESCRIPTIONHow can modern organizations handle their data in a way that delivers value at scale? Zhamak Dehghani, author of “Data Mesh: Delivering Data-Driven Value at Scale,” covers the key principles of data mesh and how it can help organizations move beyond the data lake to provide meaningful insights. She’s joined by Samia Rahman, director of dat...
2022-04-1548 min
Journeys to Democratize Data+AISandeep's Quicktake: Getting teams to not just look at wrong labels in ML dataDemocratize is not one big strategy but 100s of small things that you put in place. Quicktake is a series of short practical tips to get you started towards making data and AI widely accessible and self-service within your organization.
This tip covers an important myth: To improve model accuracy, start by verifying the correctness of labels. Typically, there is only a small percentage of miss predictions that are related to wrong labels. Often times the biggest reason for model inaccuracies is the poor quality of data samples. Train the team just that instead of jumping to...
2021-12-1102 min
Journeys to Democratize Data+AISandeep's Quicktake: How to handle misclassified predictionsDemocratize is not one big strategy but 100s of small things that you put in place. Quicktake is a series of short practical tips to get you started towards making data and AI widely accessible and self-service within your organization.
This tip covers 3 recipes on handling misclassified ML predictions within your product.
2021-12-1103 min
Journeys to Democratize Data+AIJourney to democratize AI for digital agricultureIn this episode, my guest is Daniel Mccaffery. Daniel is a technology thought leader driving Data and Analytics at Climate Corporation (a division of Bayer).
Daniel shares his insights on using ML to provide personalized recommendations for helping farmers grow crops with higher yield, profitable and sustainability. This involves deciding the right seed, right crop protection, density levels across different parts of the farm, etc. This is a fascinating example of AI and physical sciences coming together to build an innovative product offering. Daniel and I had a blast covering several topics: the building of models, model...
2021-12-031h 15
Adventures in Machine LearningData + ML: What Could Go Wrong? ft. Sandeep Uttamchandani - ML 043
Sandeep Uttamchandani joins the Adventure to discuss the relationships between Data Science and Machine Learning.
He walks through the ways you should set up, manage, and consider the data you use to build and train your Machine Learning systems to get the outcomes that you want.
Panel
Ben Wilson
Charles Max Wood
Guest
Sandeep Uttamchandani
Sponsors
Dev Influencers Accelerator
Level Up | Devchat.tv
Links
98 things that can go...
2021-08-271h 07Adventures in Machine LearningData + ML: What Could Go Wrong? ft. Sandeep Uttamchandani - ML 043Sandeep Uttamchandani joins the Adventure to discuss the relationships between Data Science and Machine Learning. He walks through the ways you should set up, manage, and consider the data you use to build and train your Machine Learning systems to get the outcomes that you want. Panel Ben WilsonCharles Max Wood Guest Sandeep Uttamchandani Sponsors Dev Influencers AcceleratorLevel Up | Devchat.tv Links 98 things that can go wrong in an ML projectThe Self-Service Data RoadmapHow to build a unicorn AI team without unicornsFor Successful AI Projects, Celebrate Your GraveyardData for HumanityFor successful AI projects, celebrate your graveyard and be prepared to...
2021-08-261h 07
Journeys to Democratize Data+AIDemocratizing Data Governance with Data Products at ING Bank FranceIn this episode, Samir Boualla shares the journey to democratize Data Governance across business teams (with Data Literacy & Data Protection). He also discusses how they build internal and external-facing data products to expedite the journey to self-service Data.
At ING Bank France, Samir is the Chief Data Officer responsible for several teams governing, developing, and managing data infrastructure and data assets to deliver value to the business. With over 20+ years of experience on various data topics. Samir shares interesting battle-tested techniques in this podcast: a process catalog, having a "data minimum standard," change management mindset, applying transfer...
2021-01-141h 01
Journeys to Democratize Data+AIDemocratizing Data Quality at LinkedIn - Part 2In this episode (part 2), Kapil Surlaker shares the journey to democratize data quality at LinkedIn scale!
Kapil has 20+ years of experience in data and infrastructure both at large companies such as Oracle as well as multiple startups. At LinkedIn, Kapil has been leading the next generation of Big Data Infrastructure, Platforms, Tools, and Applications to empower Data Scientists, AI engineers, App developers, to extract value from data. Kapil's team has been at the forefront of innovation driving multiple open source initiatives such as Apache Pinot, Gobblin, DataHub.
2020-12-1642 min
Journeys to Democratize Data+AIDemocratizing metadata management and data access APIs at LinkedIn - Part 1In this episode (Part 1), Kapil Surlaker shares the challenges and experiences in successfully democratizing metadata management and data access APIs across LinkedIn. In the next part, we deep-dive on data quality.Kapil is the VP of Engg, and Head of Data at LinkedIn. He has 20+ years of experience in data and infrastructure both at large companies such as Oracle as well as multiple startups. At LinkedIn, Kapil has been leading the next generation of Big Data Infrastructure, Platforms, Tools, and Applications to empower Data Scientists, AI engineers, App developers, to extract value from data. Kapil's team has...
2020-11-0944 min
Journeys to Democratize Data+AIJourney to recruit and build Data Science at EtsyIn this episode, Chu-Cheng covers experiences in recruiting and building a Data Science team from scratch.
Chu-Cheng is the Chief Data Officer (CDO) at Etsy. Chu-Cheng leads the global data organization responsible for data science strategy, AI innovation, machine learning & data infrastructure. Prior to Etsy, Chu-Cheng led various data roles at Amazon, Intuit, Rakuten, and eBay. Chu-Cheng is a Ph.D. in computer science, with published papers in key AI/ML conferences.
2020-10-3141 min
Journeys to Democratize Data+AIUsing Data Science to democratize traditional market data analysis at PFMIn this episode, Manish Chitnis covers experiences in using Data Science to democratize traditional market data analysis (for hedge fund investment decisions).
Manish Chitnis is the Chief Data Officer (CDO) at Partner Fund Management (PFM). Manish has 20+ years of diverse multi-disciplinary experience across a wide range of analytics: architecting the data warehouses from scratch, building risk/data apps, introducing new data architectures, instituting data governance/stewardship, data-hygiene and cleanup, improved data collection, and much more.
2020-10-1128 min
Journeys to Democratize Data+AIDemocratize by developing data literacy and standardized metrics at Tailored BrandsIn this podcast, Meenal Iyer shares the journey to democratize by growing data literacy, creating a data-driven culture, and standardization of business metrics.
Meenal Iyer is a Data and Analytics leader at Tailored Brands. She brings in 20+ years of data analytics experience across multiple domains namely retail, travel, financial services. Meenal has been transforming enterprises to become data driven, and shares interesting domain agnostic lessons from her experience.
2020-10-0535 min
Journeys to Democratize Data+AIJourney to develop a self-service data platform in FinTechIn this episode, Keyur Desai shares the journey of building a data strategy & a pervasive self-service analytics platform. He discusses some really valuable lessons based on his extensive experience.
Keyur Desai is the former CDO of TD Ameritrade. He is a data executive with over 30 years of experience managing and monetizing data and analytics. He has created data-driven organizations and driven enterprise-wide data strategies, data literacy, modern data governance, machine learning & data science, pervasive self-service analytics, and several other initiatives. He has experience across multiple industries including Insurance, Technology, Healthcare, Retail.
2020-09-281h 02
Journeys to Democratize Data+AIJourney to democratize business metrics & experimentation at IntuitIn this episode, Anil Madan shares the journey at Intuit as they democratize business metrics and experimentation within the company. Anil is the VP of Data and Analytics for Intuit’s Small Business and Self Employed group. He has over 25 years of experience in the data space across Intuit, PayPal, eBay — a pioneer in building data infrastructure and value creation in the form of products, experimentation, data advertising, digital marketing, payments, and many more.
2020-09-2029 min