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reposting: AI WORLD-2016 LARGEST AI BUSINESS CONFERENCE!

I spent last three days in San Francisco at the Annual AI world 2016 THE NATION’S LARGEST AI BUSINESS CONFERENCE!. The conference brought together a community of 1800+ like-minded attendees, 100+ SPEAKERS AND 65+ SPONSORS, Data Scientist, Ph.D., Thought leaders, Futurist and AI professionals interested in using technology to improve their organizations and enhance the AI experience. The successful harness of INTELLIGENT TECHNOLOGIES to build competitive advantage, drive new business opportunities and accelerate innovation efforts. I was fortunate enough to attend the conference, with support from the Cognizant-EBA. Together the two of us attended multiple sessions, including sessions on Virtual Assistance/ AI adoption Artificial Intelligence, Robotics & Automation and use of new technology to reach new audiences.

I was particularly pleased with the session I’ve attended around Virtual assistance, Fireside Chat, Artificial Intelligence, Practical AI Fueled By Big Data. Missed a few talks? Check out this handy 21 observation from AIWorld Conference, Workshops, chatbots, AI, Cognitive agents, and more from the events.

  1.  AI and robotics are not about occupation, but activities
  2. “bots are the new next applications.”- Satya Nadella
  3.  AI is hitting all operations. Silent disruption has happened
  4.  The trick to getting ahead is getting started
  5.  Deploying AI- it’s about finding problem
  6.  Benchmarking of Digital Assistant or VCA
  7.  Different between data vs. bad data
  8.  20% of company not clear on AI value proposition
  9.  Deep learning starts with unstructured/structured data
  10.  Virtual assistant on the fly
  11.  User experience is the major for AI 
  12.  Old Fashion (code/program) vs. new Fashion (Learning & Predictive)
  13.  Messaging platform has become a major channel for connecting people
  14. New Age Collaboration = Conversation
  15. 2010-2014 Mobile first = 2015-2020 AI first
  16. API everywhere
  17. Classify your big data to make it useful
  18. Get tens of thousands of result in just hours
  19. Turn big data into rich data
  20. Go beyond positive and negative and understand the “why.”
  21. Mckinsey estimates the global economic impact of just one of the disruptive trends enabled by AI-automation

Note: If folks have suggestions on how to improve this article, I welcome feedback in the comments section.

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Photos by –  teammate and help of AI world staff.

A safe harbor:This is a blog. It is not a peer-reviewed journal, a final archive of my writing, a sponsored publication, or the product of gatekeeping and editing. Even though I work very hard to provide you with up-to-date information (through thorough research and eating lots of cookies while Content Curation), I make no representations or warranties of any kind (expressed or implied) about the completeness, accuracy, reliability, suitability or availability of any information, products, services or related graphics contained for any purpose and will not be liable for any errors, omissions, or delays in this information or any losses, injuries, or damages arising from its display or use. All information is provided on an as-is basis. All data and information provided on this blog post for informational purposes only.

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