Here are Top 11 AI Influencers to Follow in 2024

Nitika Sharma 31 Jan, 2024 • 10 min read

Introduction

In a world driven by cutting-edge technology and mind-boggling possibilities, keeping up with the ever-evolving realm of AI is both thrilling and essential. As we step into the promising year of 2024, it’s time to embark on an exhilarating journey through the minds of the most influential and visionary AI trailblazers. Buckle up and get ready to meet the formidable Top 10 AI Influencers to follow in 2024, the avant-garde thinkers and creators who are shaping the AI landscape and pushing the boundaries of what’s possible. 

What are AI Influencers?

AI influencers are individuals who have gained recognition and influence in the field of artificial intelligence (AI) through their expertise, thought leadership, and contributions. They actively engage with the AI community and leverage social media platforms. From organizing hackathons to conducting live coding sessions, these influencers have provided valuable learning opportunities, encouraging aspiring AI professionals to enhance their skills and stay up-to-date with the latest advancements.

Why Do We Need AI Influencers?

The significance of AI influencers in the field of artificial intelligence cannot be overstated. They play a crucial role in several aspects like Knowledge Dissemination, Networking, and Collaboration. They are the Trendsetters and Opinion Leaders who have their fingers on the pulse of the latest AI trends, breakthroughs, and technologies. Their opinions and recommendations carry weight and can influence the direction of AI research, applications, and industry practices. They also connect professionals, researchers, and organizations, fostering a collaborative environment that accelerates innovation and drives the development of AI technologies.

Top 11 AI Influencers to Follow

Following AI influencers allows you to stay updated with the latest trends, insights, and developments in the field. Their expertise and perspectives provide valuable knowledge and can inspire new ideas for your AI-related work. Here are top 10 AI influencers to follow in 2024:

  1. Andrew Ng
  2. Sudalai Rajkumar
  3. Kunal Jain
  4. Fei-Fei Li
  5. Abhishek Thakur
  6. Demis Hassabis
  7. Allie Miller
  8. Francois Chollet
  9. Fabio Moioli
  10. Karen Hao
  11. Timnit Gebru

Andrew Ng

LinkedIn | Twitter

With over 2.1 million followers on Twitter, Andrew Ng is a prominent figure in the AI community. He co-founded Coursera, an online learning platform, and deeplearning.ai, an education platform focused on AI. He was also Chief Scientist at Baidu Inc., founded and led the “Google Brain” project, which developed massive-scale deep learning algorithms. More recently, he has continued to work on deep learning and its uses in speech recognition and computer vision, including autonomous driving.

Andrew Ng
Source: Wikipedia

Sudalai Rajkumar 

LinkedIn | Twitter

Sudalai Rajkumar, also known as ‘SRK’, is a prominent figure in the AI and machine learning community. He has over 60 thousand followers on LinkedIn and a substantial follower on Kaggle, a popular platform for data science competitions. Sudalai Rajkumar has not been associated with any brands or companies. While he actively participates in various Kaggle competitions and shares his expertise through code repositories and discussions.

Sudalai Rajkumar
Source: LinkedIn

Kunal Jain

LinkedIn

Kunal is the Founder of Analytics Vidhya. Analytics Vidhya is one of the largest Data Science communities across the globe. Kunal is a data science evangelist and has a passion for teaching practical machine learning and data science. Before starting Analytics Vidhya, Kunal had worked in Analytics and Data Science for more than 12 years across various geographies and companies like Capital One and Aviva Life Insurance. He has worked with several clients and helped them build their data science capabilities from scratch.

Source: Analytics Vidhya

Fei-Fei Li

LinkedIn | Twitter

Fei-Fei Li has over 128k followers on Twitter and is the co-director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI). She has contributed significant computer vision and image recognition research. She is involved in organizing the HAI Annual Conference, which focuses on the interdisciplinary aspects of AI.

Fei-Fei Li
Source: Wikipedia

Abhishek Thakur

LinkedIn

Abhishek Thakur is a renowned AI practitioner and educator. He has a strong following on various platforms, including LinkedIn, with over 125 thousand followers. He actively shares his knowledge and expertise through online courses, tutorials, and publications on Youtube and Kaggle.

Abhishek Thakur
Source: Medium

Demis Hassabis

Twitter

With over 128k followers on Twitter, Demis Hassabis is the co-founder and CEO of DeepMind, a leading AI research company. DeepMind has achieved groundbreaking advancements in AI, including developing the AlphaGo program that defeated human world champions in the ancient game of Go. While DeepMind doesn’t organize a specific annual event, Demis frequently participates in conferences and events worldwide, sharing insights into DeepMind’s research and AI developments.

Demis Hassabis
Source: Wikipedia

Allie Miller

LinkedIn | Twitter

With 774,211 Followers on LinkedIn, she is the US Head of AI Business Development for Startups and Venture Capital at Amazon, where she drives the growth of leading AI companies. Recognized as the “AI Innovator of the Year” by Forbes and the AI Summit in 2019, Allie is highly regarded in the industry. She serves as an ambassador for the American Association for the Advancement of Science (AAAS) and Advancing Women in Product, a 10,000-member organization. Notably, Allie has emerged victorious in three national innovation competitions, showcasing her exceptional talent and expertise.

Ali Miller
Source: Twitter

Francois Chollet

Twitter

Francois Chollet has over 249k followers on Twitter and is a research scientist at Google. He is widely recognized as the creator of Keras, a popular deep-learning library. Francois actively shares insights and expertise in deep learning on social media and through his book “Deep Learning with Python.” While he doesn’t organize a specific annual event, Francois participates in AI conferences and workshops and shares valuable content on various platforms.

Francois Chollet
Source: Wikipedia

Fabio Moioli

LinkedIn | Twitter

Fabio Moioli, with 115,246 Followers on LinkedIn, currently serving as Consulting and Services Head at Microsoft, possesses over 20 years of experience in general management, specializing in driving innovation across diverse industries and markets. Prior to his role at Microsoft, he held the position of Vice President and Head of BU Telecom & Media at Capgemini. Additionally, he has worked as an Associate at McKinsey and as an Account and Delivery Manager at Ericsson. Fabio’s expertise has led him to contribute as faculty at renowned institutions such as Singularity University, Harvard BR, MIP Politecnico di Milano, and Luiss. Furthermore, he is actively involved as a board member of Italia4Blockchain, showing a particular interest in exploring Liquid democracy concepts.

Fabio Moioli
Source: LinkedIn

Karen Hao

LinkedIn | Twitter

Karen Hao has over 106k followers on Twitter and is an AI and technology journalist. She is currently the AI Reporter at MIT Technology Review, covering the latest advancements in AI and their societal impacts. Karen provides in-depth analysis and reporting on AI-related topics, including ethical considerations and emerging AI applications. While she doesn’t organize an annual event, she stays engaged with the AI community through her insightful articles and reporting.

Karen Hao
Source: karenhao.com

Timnit Gebru

LinkedIn | Twitter

Kirk Borne has 59,697 Followers on LinkedIn and holds the position of principal data scientist and advisor at Booz Allen Hamilton, a prominent technology and consulting company in the United States. Kirk has made significant contributions to various projects, including NASA’s Hubble Space Telescope, showcasing his expertise and involvement in the field. He serves as a consultant and educator in multiple disciplines, encompassing Machine Learning, Data Mining, Data Analytics, X-Informatics (Discovery Informatics, Science Informatics, and more), Computational-X (Computational Science, and more), Astroinformatics (Data Science for Astronomy), Observational Astronomy (ground-based and space-based), and Computational Astrophysics. His vast knowledge and experience make him a valuable resource in these areas.

Timnit Gebru
Source: Wikipedia

And guess what? Some of these biggest influencers in the industry will be there at this year’s DataHack Summit, ready to share their wisdom, insights, and secrets to success. Now, ask yourself, are you really going to miss out on this golden opportunity? Trust us, you don’t want to be kicking yourself later for not being a part of this epic event. So mark your calendars, grab your tickets, and get ready to be inspired, learn from the best, and take your skills to the next level!

Case Studies and Success Stories

AI influencers frequently showcase the successful application of AI in their fields of expertise. They also highlight the potential of AI to solve real-world problems and improve people’s lives. Here are some case studies and success stories of the top AI influencers driving innovation:

Examples of AI Influencers Driving Innovation

1. Andrew Ng

Andrew Ng has been instrumental in driving innovation in AI through his work at Google Brain, Baidu, and his ventures. He co-founded Coursera, an online platform that offers AI and machine learning courses to a global audience, making education in these fields more accessible. Ng’s contributions have helped popularize deep learning and AI, inspiring a new generation of researchers and practitioners.

Case Study

Andrew Ng’s impact can be seen in the case of the AI-powered chatbot developed by the company ChatGPT. Through his research and contributions to natural language processing, Ng has helped advance conversational AI systems, making them more intelligent and capable of understanding and generating human-like responses.

2. Sudalai Rajkumar

Known by his username “SRK,” he is an active participant and top performer in Kaggle competitions. He has consistently showcased his machine learning and data science expertise by developing innovative solutions and sharing his methodologies with the Kaggle community.

Case Study

In collaboration with a leading healthcare institution, Sudalai developed an AI-powered system to analyze medical images and detect early signs of cancer. By leveraging advanced machine learning algorithms and computer vision techniques, Sudalai achieved remarkable accuracy in diagnosing cancerous cells, leading to improved patient outcomes and timely interventions. 

3. Demis Hassabis

Demis Hassabis is the co-founder and CEO of DeepMind, a leading AI research company. DeepMind has made groundbreaking contributions to AI, including developing AlphaGo, an AI program that defeated world champion Go players. Hassabis’s leadership has also fostered innovation in reinforcement learning, deep learning, and AI for scientific discovery.

Case Study

Demis Hassabis and DeepMind’s impact is demonstrated through their collaboration with healthcare institutions. DeepMind partnered with Moorfields Eye Hospital in the UK to develop an AI system to analyze eye scans and detect early signs of age-related macular degeneration. Hence, this collaboration has the potential to revolutionize the diagnosis and treatment of eye diseases, leading to better patient outcomes.

4. Abhishek Thakur

He is dedicated to sharing his knowledge and expertise with aspiring AI professionals. He also offers online courses, workshops, and tutorials on platforms like YouTube and GitHub, helping learners grasp complex AI concepts and develop practical skills.

Case Study

Abhishek Thakur’s success story includes a notable case study in which he participated in a Kaggle competition hosted by the Home Credit Group. His expertise in machine learning and data analysis allowed him to develop an innovative predictive model for assessing the creditworthiness of loan applicants. Through advanced techniques such as feature engineering and ensemble modeling, Abhishek achieved remarkable results, securing a top rank in the competition.

Also Read: Will AI Replace Humans?

Future Outlook

Emerging AI Influencers to Watch Out For

Timnit Gebru: Timnit Gebru is a prominent AI researcher and advocates for ethical AI. Her work focuses on fairness, accountability, and transparency in AI systems. Gebru co-founded the Black in AI initiative and has been a vocal advocate for diversity and inclusivity in the AI field.

Pieter Abbeel: Pieter Abbeel is a leading researcher in reinforcement learning and robotics. His work includes developing algorithms that enable robots to learn and perform complex tasks autonomously. Abbeel’s contributions to AI and robotics have the potential to shape the future of automation and intelligent systems.

Kate Crawford: Kate Crawford is a researcher and scholar specializing in the social implications of AI and machine learning. She explores AI technologies’ societal, ethical, and political aspects, shedding light on bias, discrimination, and privacy issues. Crawford’s work provides critical perspectives on the social impact of AI.

Ethical AI Advocacy: With the increasing impact of AI on society, there will be a growing focus on ethical considerations. AI influencers will advocate for responsible AI practices, address bias and fairness issues, and promote transparency and accountability in AI systems.

Interdisciplinary Collaborations: AI increasingly intersects with other fields, such as healthcare, climate science, and social sciences. AI influencers will likely engage in more interdisciplinary collaborations to address complex challenges and explore the potential of AI in various domains.

AI for Good Initiatives: AI influencers will continue to drive initiatives that harness the power of AI for social good. This includes applications in healthcare, environmental sustainability, education, and humanitarian efforts. Influencers will advocate using AI to tackle global challenges and promote positive societal impact.

Conclusion

Throughout this conversation, we have discussed several influential AI influencers who have significantly contributed to the AI community. These individuals have shaped the discourse surrounding AI, driven innovation, and inspired others to explore the potential of artificial intelligence. They act as knowledge catalysts, bridging the gap between experts and learners by simplifying complex concepts. These influencers shape the industry by setting trends, sharing insights, and shaping opinions.

Acknowledging and Encouraging the Role of AI Influencers

AI influencers have significantly influenced the AI discourse, driving innovation and shaping the field. Their expertise, thought leadership and research contributions have accelerated the adoption and understanding of AI technologies. By advocating for ethical practices, collaborating with industry leaders, and engaging with the AI community, they have enriched the development and responsible use of AI.

To stay updated with the latest AI trends, insights, and developments, it is highly recommended to follow and engage with these influencers. Through social media platforms, research papers, talks, and online communities, individuals can access valuable insights, educational resources, and opportunities for collaboration.

Frequently Asked Questions

Q1. How are AI influencers different from AI Pioneers?

A. AI influencers focus on knowledge sharing, trendsetting and community engagement, while AI pioneers are distinguished by their groundbreaking contributions and innovations that have propelled the field of artificial intelligence forward. Both play important roles in shaping the AI landscape, albeit with different emphases and areas of expertise. 

Q2. What contribution do AI influencers have to the tech world?

A. AI influencers contribute to the tech world by disseminating knowledge, simplifying complex concepts, and making AI more accessible. They set trends, influence opinions, and guide the direction of AI research and applications. They also foster networking and collaboration within the AI community, accelerating innovation and driving the development of AI technologies.

Q3. Why is AI such a buzz right now?

A. AI is now generating buzz because of its potential to transform various industries. It offers advanced automation, data analysis, and decision-making capabilities that can improve efficiency, productivity, and innovation. Additionally, AI has shown promise in addressing complex problems and creating new opportunities. The increasing availability of data, advancements in computing power, and breakthroughs in machine learning algorithms have further fueled the excitement around AI.

Q4. Why should one learn about AI?

A. Learning about AI is crucial in today’s world for several reasons. Firstly, AI is rapidly transforming industries and shaping the future of work. By understanding AI principles, algorithms, and applications, individuals can enhance their career prospects and stay relevant in a technology-driven job market. Secondly, AI has the potential to solve complex problems and drive innovation across various domains, including healthcare, finance, and transportation. 

Nitika Sharma 31 Jan 2024

Frequently Asked Questions

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