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:

1. Machine learning and deep learning are advanced techniques that automate the analysis of patterns in data (2:02).
2. There is a lot of hype and misunderstanding around AI-related terms like deep learning and big data (1:38).
3. AI models need continuous retraining on fresh data or their performance will degrade rapidly (17:12).
4. Most small and medium sized businesses will rely on AI capabilities embedded in vendor software rather than building their own (28:07).
5. Applications will increasingly have AI capabilities embedded without requiring developers to have data science expertise (32:09)

James writes routinely at various outlets:

• SiliconANGLE: https://siliconangle.com/author/jameskobielus1/
• Wikibon Research: https://wikibon.com/author/james-kobielus/
• His blog: https://jkobielus.blogspot.com/
• InfoWorld: https://www.infoworld.com/author/james-kobielus/
• LinkedIn: https://www.linkedin.com/in/jameskobielus/detail/recent-activity/posts/