Modern AI, Cognitive Computing, and Machine Learning for Smarter Enterprise Data
  Adrian Bowles   Adrian Bowles
Industry Analyst
STORM Insights, Inc.
 


 

Sunday, April 22, 2018
02:30 PM - 05:45 PM

Level:  Intermediate


Adopting elements of modern AI and cognitive computing – including advanced natural language processing, natural interface technologies such as gesture and emotion-recognition, and machine learning – is rapidly becoming a necessity for new applications. As people in all industries are exposed to better, more personalized, and responsive experiences with software, they will begin to demand more from every system they use. Cognitive computing - defined as systems that understand, reason, and learn - is the next frontier. In this session, we will separate the hype from the reality and help attendees prepare to:

  • Classify and map application attributes to AI technologies and tools, including data attributes, end-user attributes, and context attributes such as weather and location
  • Prioritize applications in an existing portfolio for AI-enhancements
  • Assess organizational readiness for leveraging AI
  • Understand Machine Learning fundamentals and a framework to identify opportunities for ML-enabled understanding
  • Learn how analytics tools and technologies can co-exist with machine learning, deep learning, and cognitive computing technologies to enable augmented and artificial intelligence applications


Adrian Bowles is an industry analyst and recovering academic, providing research and advisory services for buyers, sellers, and investors in emerging technology markets. His coverage areas include cognitive computing, big data/analytics, the Internet of things, and cloud computing. Adrian co-authored "Cognitive Computing and Big Data Analytics" (Wiley, 2015) and is currently writing a book on the business and societal impact of these emerging technologies. He has held executive positions at several consulting and analyst firms. Adrian has also held academic appointments in computer science at Drexel University and SUNY-Binghamton and adjunct faculty positions in the business schools at NYU and Boston College. He began his career with research and application development roles at IBM and GTE Laboratories. Adrian earned his B.A. in Psychology and M.S. in Computer Science from SUNY-Binghamton and his Ph.D. in Computer Science from Northwestern University.


 
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