Episode 08: The One About Deep Learning

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: 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/