10 Influential AI and Machine Learning Experts to Follow on Twitter
AI, machine learning, natural language processing, and other advanced analytics technologies make up the leading-edge of how organizations are gaining value from big data. Here's a collection of some of the most influential and rising stars on Twitter when it comes to AI and machine learning.
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Artificial intelligence, machine learning, natural language processing, and other advanced analytics technologies are driving the growth of some of the most forward-looking and admired organizations, from Amazon to Netflix to GE. This leading-edge of analytics combines big data and near real-time processing with other advanced tools to deliver the insights you need, before an analyst might have even formulated the right question to ask.
Some early use cases that have gotten a lot of attention include autonomous vehicles (self-driving cars), customer service chatbots, and recommendation engines. These technologies can also diagnose health conditions from medical imaging, advance precision medicine, and improve the outcomes for cardiac patients.
Benefits of such technologies include improved efficiency, reduced costs, fewer errors, and faster decision-making. These technologies can automate many tasks that used to be performed by humans -- from minimum wage customer service representatives, to highly trained and highly paid physicians. That always leads to the question of whether the rise of these technologies will disrupt the workforce as we know it and lead to job losses in the decades ahead.
Some of the top thinkers who have access to information about the current state of AI advances -- people like Elon Musk -- have also raised concerns about whether AI should be held back lest we lose control of rogue machines that end up doing harm rather than helping.
There are still more questions than answers for how AI and machine learning will ultimately affect society as a whole.
There are so many facets to the conversation about these advanced analytics technologies: practical discussions about techniques, and big picture ethics and strategy debates about where these technologies will take organizations and society in the years ahead. To help you keep up with it all, we've assembled a list of some key people to follow on Twitter if you are interested in AI and machine learning. Some of these names may be familiar. Others may be new to you. But all are influential thinkers or practitioners in these advanced analytics fields, and people who you should be following if you care about the future. Are there any who we missed? Please add them in the comments.
Bloom is an astrophysics professor at the University of California, Berkeley, and a scholar and researcher in these fields, where he uses advanced data science to further his work. He is also a co-founder of Wise.io, a machine learning applications company which has been acquired by GE.
Principal Data Scientist at the consulting firm Booz Allen Hamilton, Borne is also a former professor and a PhD astrophysicist. He's is a top influencer in data science and the range of technologies that go with it, both on Twitter, and beyond. He is a frequent speaker on industry topics and uses his Twitter feed to curate some of the most timely and best information on data, analytics, AI, and related technologies.
Brynjolfsson also hails from academia. He is a professor at MIT and co-author of the book Machine Platform Crowd: Harnessing Our Digital Future. His tweets frequently hit on the topic of how AI will change business.
Chowdhury is a rising star in AI. She is an AI specialist at the consulting firm Accenture, and she is also a futurist and a frequent speaker on the topic of the ethical considerations that come with AI. Her work includes a regular podcast and volunteer duties as she helps non-profit organizations harness AI for good. She is interested in AI's impact on business and also society.
Domingos is another heavyweight influencer in AI and machine learning who works in academia. He is a computer science professor at the University of Washington in Seattle and the author of The Master Algorithm, a book about machine learning, deep learning, and related technologies.
Dull is Director of Emerging Tech at the SAS Best Practice group, a unit within the advanced analytics software company. She's a frequent industry speaker and her tweets cover a range of advanced big data technologies including AI, machine learning, as well as emerging areas of interest such as IoT and privacy.
Goldstein is managing director at the Innovation Lab at Harvard Business School and tweets about startups, ideas, and emerging technology trends.
Li is an associate professor of computer science at Stanford in the university's AI Lab. But she's taking a sabbatical from her position there to serve as chief scientist for AI and machine learning for the Google Cloud.
O'Neil's career has included serving as a data scientist at a Wall Street hedge fund firm. But she is better known for what she's done since she left Wall Street, writing the New York Times bestseller, Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy.
Rogati serves as a data science and AI advisor to organizations including venture capital firms. She is also the former VP of data for wearable company Jawbone and has also done a tour of duty as a LinkedIn data scientist.
Rogati serves as a data science and AI advisor to organizations including venture capital firms. She is also the former VP of data for wearable company Jawbone and has also done a tour of duty as a LinkedIn data scientist.
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