Unmask the myths and powers of machine learning, deep learning, and AI, the invisible forces shaping our every click and swipe. Watch this episode for the 5 things you need to know about deep learning.
We're joined by James Kobielus. James is an expert on AI, Data Science, Deep Learning, and Application Development. He was a Big Data Evangelist at IBM and Senior Analyst at Forrester, Burton and others.
We Discuss:
- What is Deep Learning?
- Deep Learning's relationship with Machine Learning, AI, Big Data and Robotics
- Is it all just more vendor/consultant hype?
- What are the practical applications of it right now?
- How do enterprises leverage Deep Learning? What do they need skill wise?
- Where is it going? How will it be used in the future?
5 Takeaways:
- Machine learning and deep learning are advanced techniques that automate the analysis of patterns in data (2:02).
- There is a lot of hype and misunderstanding around AI-related terms like deep learning and big data (1:38).
- AI models need continuous retraining on fresh data or their performance will degrade rapidly (17:12).
- Most small and medium sized businesses will rely on AI capabilities embedded in vendor software rather than building their own (28:07).
- Applications will increasingly have AI capabilities embedded without requiring developers to have data science expertise (32:09)
James writes routinely at various outlets:
