Mariya Yao
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Responsible AI: Should Smart Machines Be Intrinsically Pro Human?

Responsible AI: Should Smart Machines Be Intrinsically Pro Human?

by Mariya | Apr 5, 2018 | Artificial Intelligence, Culture, Design, Diversity, Enterprise, Leadership

Bigoted AI systems rightly deserve the universal flak they get. But there’s a problem: we might still be screwed even if AI is neutral. Unless artificial intelligence has the “right” biases, AI and people won’t coexist very well. Unless purposely wired to...
7 Creative Ways To Apply Content & Influencer Marketing To Enterprise AI

7 Creative Ways To Apply Content & Influencer Marketing To Enterprise AI

by Mariya | Mar 20, 2018 | Communications, Sales & Marketing, Thought Leadership

The market for AI is so overhyped, virtually anybody looking for a fast buck can re-package an old abacus and sell it as a “machine learning” platform. Misinformed people buy the idea and the mounting frustration makes it extremely difficult for legitimate...
6 Ways AI Transforms How We Develop Software

6 Ways AI Transforms How We Develop Software

by Mariya | Mar 10, 2018 | Artificial Intelligence, Software Development

AI is transforming all business functions, and software development is no exception. Not only can machine learning techniques be used to accelerate the traditional software development lifecycle (SDLC), they present a completely new paradigm for inventing technology. ...
14 Ways Machine Learning Can Boost Your Marketing

14 Ways Machine Learning Can Boost Your Marketing

by Mariya | Feb 28, 2018 | Artificial Intelligence, Computer Vision, Deep Learning, Natural Language Processing, Sales & Marketing

Marketing success depends on many factors. You need accurate consumer research to build your branding strategy, engaging content to delight your audience, a firm grasp of behavioral economics, and a near mystical ability to intuit how people will weigh your message...
Common Mistakes Executives Make With Data

Common Mistakes Executives Make With Data

by Mariya | Feb 12, 2018 | Artificial Intelligence, Data Science, Enterprise

Data is a human invention. Humans define the phenomenon that they want to measure, design systems to collect data about it, clean and pre-process it before analysis, and finally choose how to interpret the results. Even with the same dataset, two people can form...
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  • Responsible AI: Should Smart Machines Be Intrinsically Pro Human?
  • 7 Creative Ways To Apply Content & Influencer Marketing To Enterprise AI
  • 6 Ways AI Transforms How We Develop Software
  • 14 Ways Machine Learning Can Boost Your Marketing
  • Common Mistakes Executives Make With Data
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