- AI is one of the fastest-paced industries today. Thus, following influencers and though leaders that produce AI content will surely help us stay informed on the happenings surrounding the industry.
- Human influencers, compared to AI tools themselves, have a unique understanding of AI, so they can share their insights and perspectives with us, which can help us better understand this industry.
Not gonna lie, AI is one of the fastest-paced industries today. Thus, following influencers that produce AI content will surely help us stay informed on the happenings surrounding the industry. (Check all the AI articles on BitPinas.)
Aside from this, human influencers, compared to AI tools themselves, have a unique understanding of AI, its capabilities, and its potential impact on society. They can share their insights and perspectives with us, which can help us better understand this industry.
Also, we can literally discover AI tools that we need by just watching their content—those that they review, or even endorse. They also surely have a community of like-minded individuals, since their AI content attracts AI enthusiasts.
Explore these AI personalities and thought leaders that BitPinas curated for you to learn more about, listen to, follow, and subscribe to in the midst of this complex and rapidly evolving field.
Bernard Marr is an author, speaker, futurist, and speaker in the fields of business and technology.
He started doing AI content in 2016 when he published his first book, “Big Data: Using SMART Big Data, Analytics, And Metrics To Make Better Decisions And Improve Performance.” He then became a best-selling author of books in the field of AI, such as “Artificial Intelligence In Practice,“ “The Intelligence Revolution,” and “Tech Trends in Practice.”
Currently, Marr is a contributor for Forbes Magazine, where he writes about how AI is transforming the future of digital marketing, learning, healthcare, and other industries.
He also has a YouTube Channel, where he explains the basic concepts of AI, shows how to use them, and talks through technological trends for the coming years, and a website, where he shares articles and case studies on subjects such as AI, machine learning, deep learning, and how these technologies are changing many industries.
Fei-Fei Li is a professor of computer science at Stanford University and the co-director of the Stanford Institute for Human-Centered Artificial Intelligence and the Stanford Vision and Learning Lab.
She started doing AI content in 2005 when she joined Princeton University as an assistant professor, where she led the creation of ImageNet, a large-scale visual object recognition database that enabled rapid advances in computer vision.
Li is known for her TED Talk, titled “How we’re teaching computers to understand pictures,” where she explained how ImageNet works and why it’s important for AI to understand images.
Andrew Ng is a professor of computer science at Stanford University and a leading expert in AI, machine learning, and deep learning. He is also the founder of DeepLearning.AI, the co-founder of Coursera, and a general partner at AI Fund.
He started doing AI content in 2008 when he launched the Stanford Engineering Everywhere (SEE) program, which made some of Stanford’s most popular engineering classes available online for free. He then created one of the first massive open online courses (MOOCs) on machine learning, which has been taken by over four million learners.
Ng is known for his Coursera collection, “Andrew Ng’s Machine Learning Collection”, where he curates courses and specializations from leading organizations and universities on topics such as deep learning, natural language processing, self-driving cars, and generative adversarial networks, and his TED Talk, titled “How AI Could Empower Any Business,” where he shared a vision for democratizing access to AI, empowering any business to make decisions that will increase their profit and productivity.
Ronald van Loon
Ronald van Loon is a thought leader in AI, big data, IoT, machine learning, and data science.
He started doing AI content in 2012, when he joined Twitter, and started sharing his insights and opinions on various topics related to AI and data.
Van Loon is currently active on his YouTube Channel, posting videos about AI in society and making podcasts that feature different AI personalities.
Siraj Raval is a data scientist, entrepreneur, educator, and director of the School of AI, an online community that offers free courses and resources on AI1.
He started doing AI content in 2016, when he launched his YouTube Channel, where he posts videos on how to learn and apply AI to various domains, such as finance, marketing, healthcare, and gaming.
He is known for his video, titled “I Built a Trading Bot with ChatGPT,” where he explained how he used a large language model to create a trading algorithm and what the results were after 24 hours of live trading.
He started doing AI content in 2015 when he published a two-part series called “The AI Revolution: The Road to Superintelligence.” In the series, he explained the concepts and implications of artificial intelligence in a simple and engaging way and discussed the potential scenarios of human-AI coexistence, from utopia to extinction.
(Read more: BPO Giant Accenture to Invest $3 Billion in AI)
Lex Fridman is a research scientist at the Massachusetts Institute of Technology, where he works on human-robot interaction and machine learning.
He started doing AI content in 2017 when he launched a series of lectures on “Deep Learning for Self-Driving Cars,” which covered topics such as computer vision, reinforcement learning, and convolutional neural networks.
Fridman also hosts a podcast called “Lex Fridman Podcast,” where he interviews leading figures in AI, science, technology, and philosophy.
Timnit Gebru is an AI researcher and activist who is known for her work on AI ethics, fairness, and accountability.
She started doing AI content in 2017 when she co-founded Black in AI, a community of black researchers and practitioners in AI that aims to increase diversity and inclusion in the field.
Gebru even published a paper on Gender Shades, which showed how facial recognition systems performed worse on darker-skinned and female faces.
However, she co-led the ethical AI team at Google until she was fired in 2020 over a paper that criticized the risks of large language models. Gebru then founded the Distributed AI Research Institute (DAIR), which is an independent, community-rooted AI research organization that challenges the dominant narratives of AI and advocates for a more thoughtful and responsible mode of AI research.
Influencers and thought leaders in the AI industry really offer a big help in keeping updated and informed in this fast-paced market.
They have a unique opportunity to help people understand and adopt AI. By sharing their knowledge and insights about AI, influencers can help demystify this technology and make it more accessible to everyone. They can also help to dispel myths and misconceptions about AI and promote a more positive and informed view of this technology.
Truly, influencers can be considered key players in AI’s mass adoption today.
Are you an AI enthusiast? Who are the AI influencers and thought leaders you follow?
This article is published on BitPinas: Top Must-Follow AI Personalities to Stay Updated on Industry Trends
Disclaimer: BitPinas articles and its external content are not financial advice. The team serves to deliver independent, unbiased news to provide information for Philippine-crypto and beyond.