The business of Value Creation from Data Science to AI Innovations
Have you wondered about the difference between Data Science and AI? What is your role as a business person in building successful AI solutions and in creating business value in a measurable, scalable and explainable way to the enterprise?
Join Sudha Jamthe to learn about
1. The evolving difference between AI and Data Science
2. What is the business model behind No-Code AI and how do you operationalize AI part Proof-of-Concepts by starting out right?
3. How do you measure business value with Data Science
Technology Futurist at Self Employed
Sudha Jamthe is the CEO of IoT Disruptions and an entrepreneurial mobile product leader with 20+ years experience building Consumer Mobile and eCommerce Products for Business Growth. She is the author of the book IoT Disruptions and the upcoming new book “The Internet of Things Business Primer”. She hosts a weekly show called “The IoT Show” on YouTube and is an instructor at Stanford Continuing Ed School for the class Building a Successful Business with Mobile and Internet of Things.
Sudha is a champion for Girls Who Code and hosts mentor programs for kids at Devcamps and hackathons. She believes that coding is a fundamental skill similar to reading for the future and inspires kids to learn coding with educational programs in schools and corporate partnerships. She has been a venture mentor at MIT and Director at Bay Area Facebook, Twitter, Pinterest and Google+ Meetups. She writes for TechCrunch, Mashable, GigaOm and Venturebeat as a respected technology futurist. You can always find her latest opinions at coolastory.com, LinkedIn Pulse, Periscope and @sujamthe. She is an advisor for Blockchain University and Barcelona Technology School.
Sudha Jamthe is the author of “2030 The Driverless World: Business Transformation from Autonomous Vehicles” and 3 IoT books. She teaches IoT Business at Stanford Continuing studies and aspires to bring Cognitive IoT and Autonomous Vehicles together.
End-User, Government, Enterprise, Small / Medium Enterprise
AI, Artificial Intelligence, Data Science, data, No-Code, Innovation, Operational AI, PoC
CxO, VP / Director, Middle Management, Technical, Business Line Management, Operations
Retail, Manufacturing, Telecom, Banking, Financial Services, Insurance, Industrials, Healthcare, Consumer, Government / Public Sector, Automotive
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