Artificial intelligence has always been an exciting field for innovation, and 2024 continues to maintain this trend. The AI landscape offers a rich tapestry of innovative ideas, cutting-edge technologies, and, above all, the visionary minds behind them. These innovators, an eclectic mix of thinkers and innovators under 40, are pushing the limits of what’s possible, driving AI toward a brighter, fairer, and more integrated future.
This year’s generation of AI innovators has made breakthroughs in a wide range of areas, including healthcare, robotics, climate change, ethical AI, machine learning, deep learning, and neural networks, to solve challenges that were once thought to be impossible.
Artificial intelligence (AI) is a ray of hope in healthcare, as innovators created algorithms that predict diseases more accurately than ever. But AI systems aren’t just tools for diagnosing diseases; they’re becoming an essential part of personalized medicine, customizing treatments to fit each patient’s unique genetic makeup and improving the efficiency of healthcare delivery.
Artificial intelligence (AI) is at the heart of autonomous systems that can learn from and adapt to their surroundings. Robotics has made tremendous progress, and in addition to being used in industrial environments, robots are becoming more and more a part of our everyday lives, helping with everything from housekeeping to providing care for older people.
Designation: Senior Machine Learning Engineer
Company: Pinterest
Description: Aayush Mudgal is a highly accomplished senior machine learning engineer at Pinterest, where he is currently leading efforts in privacy-aware conversion modeling. He has a proven track record of successfully launching and executing innovative projects, including conversion optimization, video ads ranking, landing page optimization, and evolving Pinterest's ads ranking from GBDT to DNN stack. Mudgal's expertise lies in large-scale recommendation systems, personalization, and ads marketplaces. Prior to his industry experience, he researched intelligent tutoring systems, developing data-driven feedback to aid students in learning computer programming. Mudgal holds a master’s degree in computer science from Columbia University and a Bachelor of Technology in Computer Science from the Indian Institute of Technology Kanpur.
Designation: Manager, System Software – AI
Company: NVIDIA
Description: Kedar Potdar is a highly accomplished Manager of System Software for AI & Robotics at NVIDIA, where he is driving the development of cutting-edge AI products. With a strong background in computer science, Potdar holds a Master's degree from NYU, where his thesis focused on "Edge Computing for Pedestrian Behavior Analytics." Prior to his current role, he worked as a Senior System Software Engineer at NVIDIA, contributing to projects like DeepStream retail analytics and TensorRT-LLM for local AI inference on Windows PCs. Potdar's expertise lies in large-scale AI systems, edge computing, and optimizing AI models for performance. He is passionate about leveraging AI to solve real-world problems and has been recognized for his contributions, receiving the 40 Under 40 Data Scientists Award in 2024.
Designation: VP, AI Solutions
Company: EXL
Description: Lokesh Malik is a seasoned AI and Data Science professional with over 17 years of experience across various industries, including CPG, Retail & Media, E-commerce, and BFSI. As the Vice President of AI Solutions at EXL, Malik has made significant contributions to the field of NLP and AI, leveraging his expertise to drive innovation and growth. He has received the prestigious 40 under 40 Data Scientists award, recognizing his outstanding work in the field. Malik's leadership and technical prowess have enabled him to excel in his roles, including his previous positions at EXL and Snapdeal, solidifying his reputation as a leading figure in AI solutions.
Designation: Vice President and India Head, AI for Chief Operating Office (COO)
Company: Wells Fargo
Description: Naveen Rathani is a seasoned AI and Data Science professional with a strong background in the financial industry. As the Vice President and India Head of AI for the Chief Operating Office (COO) at Wells Fargo, Rathani is responsible for driving AI initiatives across the organization. With a focus on leveraging AI to enhance operational efficiency and customer experience, Rathani's leadership and technical expertise are crucial in realizing the potential of AI technologies in the financial sector. His role involves developing and implementing AI solutions that provide broad visibility into operational value chains, accurate forecasts, resilience in the face of disruptions, and tools to adapt to market demand.
Designation: Senior Machine Learning Engineer
Company: Toyota Connected North America
Description: Preeti J. is a Senior Machine Learning Engineer at Toyota Connected North America, where she designs and develops cutting-edge AI and machine learning applications and systems. With a strong background in computer vision and generative AI, Preeti plays a crucial role in driving innovation at Toyota Connected. She is known for her leadership in projects like #toyotaswarm, which showcases her ability to bring together diverse teams to tackle complex challenges. Preeti's expertise and contributions have been recognized through her selection as a 40 Under 40 Data Scientists award recipient. Her work at Toyota Connected is focused on leveraging AI to improve people's lives and make the world a better and safer place.
Designation: Senior Engineering Manager Search AI
Company: LinkedIn
Description: Raghavan Muthuregunathan is a highly accomplished senior engineering manager leading the search AI team on LinkedIn. With extensive experience in search engine technology, he previously worked at Microsoft Bing before joining LinkedIn. Muthuregunathan is known for his expertise in large-scale search systems, machine learning, and natural language processing. He is a frequent speaker at industry events, sharing his insights on topics such as unlocking the potential of large language models for a billion more prompt engineers. Muthuregunathan's leadership and technical prowess have been instrumental in driving innovation in LinkedIn's search capabilities, enhancing the user experience for millions of professionals worldwide.
Designation: Associate Vice President | Data Science & Applied AI
Company: Course5i
Description: Rahul Pandey is an accomplished Associate Vice President at Course5i, specializing in Data Science and Applied AI. With a robust background in data science, analytics, and AI, Pandey is recognized for his expertise and leadership in the field. His contributions have been instrumental in driving innovation and excellence within Course5i, showcasing his ability to leverage advanced technologies to solve complex business challenges. Pandey's role involves spearheading data-driven initiatives, developing AI solutions, and providing strategic direction to enhance the organization's capabilities in data science and AI. His work exemplifies a commitment to pushing the boundaries of technology and driving impactful outcomes in the industry.
Designation: Global Director – Software Engineering, AI & ML, research
Company: HERE Technologies
Description: Deekshant Saxena is a distinguished Global Director at HERE Technologies, specializing in Software Engineering, AI, and ML research. With a strong background in technology and innovation, Saxena plays a pivotal role in driving advancements in AI and ML within the organization. His expertise spans across software engineering, AI, and ML, contributing to the development of cutting-edge solutions at HERE Technologies. Saxena's leadership and technical acumen have been instrumental in shaping the research and development initiatives, positioning him as a key figure in the field of artificial intelligence and machine learning within the company and the industry at large.
Designation: Associate Vice President – Advanced Analytics & Applied AI
Company: Course5 Intelligence
Description: Rahul Pandey is an accomplished Associate Vice President at Course5 Intelligence, leading the Advanced Analytics and Applied AI teams. With extensive experience in data science, analytics, and AI, Pandey has held leadership roles at prominent companies like SG Analytics, Mahindra Group, Antuit, CRISIL Limited, and Tata Consultancy Services. His expertise spans across various industries, including automotive, CPG/retail, manufacturing, media, and telecom. Pandey's leadership and technical prowess have been recognized through his selection as a 40 Under 40 Data Scientists award recipient in 2024. He is known for his ability to drive successful projects, set up analytical practices, and provide strategic solutions for clients across different geographies.
Designation: Head of AI Engineering Centre of Excellence (Associate Director, Data Science)
Company: LTIMindtree
Description: Sateesh Gottumukkala is an accomplished Head of AI Engineering Centre of Excellence and Associate Director of Data Science at LTIMindtree. With extensive experience in building AI and ML products and accelerators, Gottumukkala plays a crucial role in solving complex technical and business problems. His expertise spans across various domains, including computer vision, natural language processing, and predictive analytics. Gottumukkala's leadership and technical prowess have been instrumental in driving innovation and excellence within LTIMindtree. He is known for his ability to build high-performing teams and deliver cutting-edge AI solutions that drive business impact.
Designation: Sr Director, Artificial Intelligence (AI Engineering)
Company: IQVIA
Description: Sunil Kumar Singh, Senior Director, AI Engineering, IQVIA. Sunil Kumar Singh is one of the most prominent figures in the analytics industry in India. He is well-known for his contribution to the industry, especially in the field of data science. His role is to lead efforts in developing strategic plans that use artificial intelligence and machine learning to turn data into useful knowledge. This encompasses creating tools and approaches for condensing primary market research, thus improving the decision-making process in the life sciences industry.
Designation: Engineering Lead – Data and AI for FSI
Company: Microsoft
Description: Microsoft’s Data and AI Engineering Lead for FSI, Suresh Sethuramareshwamy, has over 15+ years of international experience in helping highly regulated banking & financial services industry customers through cloud-native data & AI technologies. He has led major digital transformation initiatives across Consumer Banking, Wholesale Banking, Wealth Management, Global Markets, and Investment Banking. Suresh oversees the product development of FSI-specific differential data & analytics products.
Designation: Head of Data Science, AI and Personalization CoE
Company: Axis Bank
Description: Anish Abhay Parulekar leads Axis Bank’s initiatives in Data Science and Artificial Intelligence (AI) to drive personalized customer experiences and improve business strategies. In recognition of his expertise in Data Science and AI, Anish Parulekar was named as one of the Top 40 Data Scientists in India by MLDS 2025. His leadership and innovative strategies in data science have not only propelled Axis Bank's growth but also contributed to the advancement of the analytics ecosystem in India.
Designation: Engineering Manager, Machine Learning
Company: Meta (Facebook)
Description: At Meta (Facebook), Ankit Jain is an Engineering Manager who focuses on Machine Learning. He is well-known for his leadership and innovative contribution to the technology industry, especially in the fields of recommendation systems & fraud detection for billions on Facebook & Instagram. His role at Meta is to lead a team of researchers in solving complex deep learning challenges, which have a direct impact on the user experience of these platforms. Before joining Meta, Ankit worked as a Machine Learning researcher at Uber AI where he used deep learning methods to solve various challenges, including food delivery, fraud detection, self-driving cars, etc.
Designation: Machine Learning Senior Research Engineer
Company: Google DeepMind
Description: Praneet Dutta is the machine learning senior research engineer at Google DeepMind, one of the top artificial intelligence labs in the world. Praneet is at the cutting edge of AI research. His work focuses on developing cutting-edge techniques that significantly reduce carbon emissions from industrial systems. Praneet’s strong academic background is evident from his contributions to Google Scholar. Praneet has worked on various research projects in the areas of reinforcement learning, generative modeling, and AI applications. Some of the research projects he has worked on are: Hierarchical reinforcement learning to optimize industrial high-efficiency air conditioning systems (HVAC) and generative modeling to improve seismic image quality through 3D conditional generic adversarial networks.
Designation: Associate Director – Head of Artificial Intelligence
Company: Lendingkart
Description: Aditya Kumar Pal is the Associate Director – Head of Artificial Intelligence at Lendingkart, where he is responsible for driving the company’s AI initiatives. Aditya Kumar Pal’s leadership and knowledge of artificial intelligence play a crucial role in Lendingkart’s mission to make working capital finance easily available to entrepreneurs. Under his leadership, Lendingkart uses big data analytics and artificial intelligence tools to assess borrowers’ creditworthiness quickly and accurately. This not only helps in streamlining the lending process but also provides a more efficient and data-driven approach to finance services.
Designation: Director of Technology, Artificial Intelligence
Company: Springer Nature Group
Description: At Springer Nature Group (SNG), the world’s leading research, education and professional publisher, Arvind Jayakumar is the Chief Technology Officer (CTO) and head of Artificial Intelligence (AI). Arvind is responsible for spearheading the company’s strategy and initiatives in the field of AI. Arvind brings a wealth of experience in cloud computing and business intelligence, as well as experience in data warehousing and data lakes. With a deep understanding of artificial intelligence (AI) and machine learning (ML), Arvind has helped to identify and implement innovative AI and ML solutions that support SNG’s mission of discovery.
Designation: Head-AI Platforms
Company: Chubb
Description: Rai Rai Vinodkumar, Head of AI platforms at Chubb, has over 14 years of data modeling and leadership experience in the analytics industry. She has been a transformative leader, especially in the field of Artificial Intelligence (AI) and Machine Learning technologies. Rai Rajani leads global platforms that provide significant financial benefits to insurance functions and businesses around the world. Through her thought leadership, she has enabled businesses to reimagine their processes using AI, demonstrating the power of AI and creating strategies to scale and operate these solutions.
Designation: Senior Manager and Data Scientist – IQ AI platform
Company: Unilever
Description: Alka Pandey serves as a Senior Manager and Data Scientist at Unilever, where she is a key player in the IQ AI platform. With more than a decade of experience, she has refined her skills in Data Science, Machine Learning, and Artificial Intelligence. Her responsibilities include applying sophisticated analytics and AI tools to make informed decisions and foster new developments at Unilever. Alka's mastery in a broad spectrum of technical abilities, such as Python, Deep Learning, Statistics, Natural Language Processing (NLP), and a variety of machine learning models including Linear Regression, Logistic Regression, Decision Trees, Random Forest, and Neural Networks, places her at the leading edge of Unilever's data science efforts.
Designation: Deputy Vice President
Company: Aegon Life
Description: Prithvi Kolaparthy is the Deputy Vice President at Aegon Life, where he plays a key role in driving the company’s strategic initiatives. Prithvi’s experience in the insurance industry is characterized by a strong emphasis on innovation and customer-centric solutions. In his role as a Deputy Vice President, he is known for spearheading key projects that improve Aegon Life’s product offerings and service offerings. Prithvi has a deep understanding of insurance market trends and the technological innovations that can be used to enhance customer experiences.
Designation: Vice President, AI, Advanced Analytics and CVM
Company: Etisalat
With over 19 years of Consulting and Industry experience in Artificial Intelligence, Customer Value Management, Product Management, Business Development, and Strategy, Amit brings with him extensive knowledge and a deep understanding of working in the domain of mobile technology and telecom. Working in this high-growth mobile industry all these years has given him valuable experience in dealing with mobile device manufacturers, operators, consultants, and related start-ups and provided opportunities to negotiate complex deals and understand nuanced product issues. He has also been conferred the 40 under 40 Data Scientist Award (2022) and the Top 100 Most Influential AI and Analytics Leaders (2022) by the prestigious Analytics India Magazine (AIM).
Designation: Senior Data Science Manager, AI Specialist, Digital Healthcare
Company: Jio Platforms Limited
Amarjeet Kaur has 18+ years of experience across the domains in Artificial Intelligence, Natural Language Processing, Machine Learning, Knowledge Graphs, and Business Intelligence. The recent research has focused on longitudinal patient data, health Index measures, multilingual learning, graph-based learning, automatic knowledge discoveries from web resources, content classifications, Immersive tech for social determinants of digital healthcare solutions, and Intelligent bots for innovative customer support operations. She has extensive experience in digital healthcare, especially in B2B B2C deliverables, product design, go-to-market strategy, and scale-up. Amarjeet also worked in business strategy verticals across various healthcare providers, medical devices, and healthcare technology clusters.
Designation: Senior Manager-Data Science, Artificial Intelligence & Machine Learning Practice
Company: Genpact
A passionate Supply Chain Analytics leader with over 7 years of global experience and proven ability to lead business critical projects in emerging technologies for Fortune 500 companies. Adept at lean manufacturing operations, sourcing, materials management, supply chain finance modeling, and advanced analytics. Currently, Parimesh Panda is a Senior Consulting Leader in Artificial Intelligence & Machine Learning (AI/ML) with excellent expertise in Blueprinting, Strategy Development, & Solution Execution of Digital Transformation Programs.
Designation: VP - Head of AI-ML Products & Platforms@AI Labs
Company: American Express
Mamta Aggarwal is the VP - Head of AiDa (AI-ML Products & Platforms) - AI Labs, American Express. Prior to this, she held a pivotal position as the Managing Director of the Global AI Hub at Accenture India. She has worked in prominent organizations such as ICICI Bank Ltd, Dunnhumby, and Adobe System India Pvt. Ltd. She is an AI and ML mentor on various analytics forums to help upcoming DS, MLE, and DE talent. Mamta holds several research papers, patents, and industry accolades.
Designation: Associate Manager-Data Science & AI– EY
Company: EY GDS
A multifaceted professional with 12+ years of experience in the aviation sector, with particular industry expertise in Predictive Modeling, Statistical Inference, Experimentation, Machine Learning, and Causal Analytics. We have demonstrated a history of high-impact projects that have maximized the organization's value creation.
In his current role, he is a data scientist with expertise in physics-based analytic modeling techniques. Karan has worked on various aspects of data science, including data extraction, data visualization, data analysis, and model building. He has modeled some of the aviation industry's complex problems, created algorithms, and built scalable and reusable solutions for the business.
Designation: Generative AI Leadership
Company: Deutsche Telekom Digital Labs
Technology professional with around 15 years of experience in embedding and operationalizing AI/ML into scalable products, with a focus on delivery, implementation, and technical excellence backed up by a research-oriented approach. Created boutique COE for AI/ML and efficiently managed analytical product & consulting teams in various domains like EdTech, HealthTech, Telecom, Retail & Manufacturing. He has developed and implemented strategies for embedding AI/ML into multiple products, working closely with product managers and other stakeholders to identify opportunities and assess feasibility. Led team of data scientists and engineers to develop and deploy AI/ML models that improve product functionality, performance, and customer experience.
Designation: AI/ML Manager
Company: Amazon RingAI
Sasank is an experienced Machine Learning Specialist with a demonstrated history of working in the technical industry. She is skilled in Salesforce.com Development, Data Science, Data Visualization, Java, and Computer Vision. She is a strong engineering professional with a Bachelor of Technology (BTech) focused in Computer Science from Lovely Professional University.
Designation: Manager AI/ML Engineering
Company: UnitedHealth Group
Meticulous Business Analyst who undertakes complex assignments, meets tight deadlines, and delivers superior performance. Possesses practical knowledge in identifying key business objectives, defining scope with clarity, formulating actionable business analysis plans, drafting detailed requirements, helping technical teams with implementation, and helping businesses adopt new solutions. Demonstrates expert insight in large-scale distributed systems, exploratory data analysis & data-driven decision-making.
Designation: Practice Manager–AI/ML
Company: NextWealth
Kartheek Kumar, Practice Manager–AI/ML at NextWealth, is a seasoned professional with extensive experience in leading AI and machine learning initiatives. With a proven track record in driving innovation and delivering transformative solutions, Kartheek excels in developing cutting-edge AI strategies to address complex business challenges. He is known for his expertise in leveraging AI technologies to drive business growth and competitive advantage.
Designation: AI/ML Architect
Company: Avantor
Snehal Bhagwatkar is an accomplished AI/ML Architect at Avantor, with extensive experience in designing and implementing cutting-edge artificial intelligence and machine learning solutions. With a proven track record of driving innovation, Snehal specializes in leveraging AI technologies to optimize business processes, enhance decision-making, and deliver tangible value to organizations across diverse industries.
Designation: Manager Grade 1 Application Development AI/ML
Company: Concentrix
Vinay Jetti, as a Manager Grade 1, Application Development AI/ML at Concentrix, leads a team in designing, developing, and deploying AI/ML solutions. He oversees project management, and solution architecture, and ensures quality assurance. Vinay collaborates cross-functionally, engages with clients, and drives continuous improvement initiatives. His role demands technical expertise, leadership, and adherence to compliance and ethical standards.
Designation: Manag, CoE Data Science & AI & ML
Company: Titan Company Limited
Sharvan Anand works as a Data Science Manager at Titan Company Limited with M.Tech + 3 years of experience, skilled in Python, AI/ML. Completed many projects involving the creation of both software and hardware with success, receiving prizes and patents at the TATA Group level. is concentrating on developing cutting-edge ML solutions for the varied portfolio of the company. proficiency with deep learning algorithms, image processing, and recommender systems; on the way to becoming an expert in Gen-AI (Images & Text) methodologies.
Designation: Director AI & ML
Company: Apple
Since September 2016, Tarun Harnathka has served as Apple's director of maps and since February 2021, the company's director of AI and ML. Tarun has been with Apple for seven years and nine months now. Among his duties are operations executive and innovative product management, both of which are successful in building profitable organizations. proficiency in increasing revenue and profitability through large-scale, creative operations and excellent customer management. competent personnel manager is in charge of overseeing sizable teams.
Designation: AI Product Manager
Company: American Express AI Labs
Before joining American Express AI Labs in October 2022, Oshin Patwa held the position of Senior Product Development Analyst - Data Science. She is capable of using her analytical abilities to create strategic recommendations and offer qualitative insights that will improve business performance. Capable of ML/AI, Business Intelligence and Analysis, Statistical Modeling, Data Science and Analytics and interaction between the front end and back end to support the adoption of a data-driven strategy to meet business needs
Designation: Assitance Manager AI/ML
Company: Deloitte
Since December 2022, Jasraj D. has been an assistant manager of AI/ML at Deloitte, where he created a tax-focused question-answering system on Azure Cloud using Enterprise LLM and Langchain. He's also working on an RLHF for model enhancement and developed an MoM generator. Additionally, he presented a real-time ASL-to-voice translation proof of concept with 89% accuracy and created applications for predictive opportunity forecasting and Qualtrics data enrichment.
Designation: Senior AI/ML Manager
Company:Universal Electronics
Sarika Desai, with over 15 years at Universal Gadgets, has been working as Senior AI/ML Manager since March 2022. She spearheaded data pipelines and ML lifecycle, ensuring efficiency and responsiveness (5-30ms per call at scale). Demonstrated strong communication across ML Ops, DDT, Data Catalog, and cross-functional teams. Excels in written/verbal communication, engaging with C-suite, scoping projects, and strategic planning.
Designation: Technical Executive Manager AI/ML
Company: PepsiCo
Neha Porwal has been working as Technical Executive Manager AI/ML at PepsiCo since December 2022 and is responsible for managing the portfolio of Advanced Analytics products and overseeing the continued development and improvement of analytics-based solutions to help the organization make more informed decisions.
Designation: Lead Machine Learning Engineer
Company: mavQ
Since January 2022, SatheshKumar MohanKumar has served as the Lead Machine Learning Engineer at mavQ. He spearheaded the development of the Corrections AI project for the Nebraska Department for Correctional Services, automating CCTV monitoring with violence detection, face detection, and recognition. Additionally, he designed Intelligent Document Processing models for the Georgia State Department, developed object detection and segmentation models for contraband detection, and built predictive AI models for identifying violent instances in videos. He also created an AI-based media management tool for video content organization and search by extracting metadata.
Designation: Team Manager, ML Data Operations, Search—-AI data
Company: Amazon
Amit Patil is the Team Manager for ML Data Operations, Search, and AI data at Amazon. He brings a wealth of skills in operational excellence, people management, analytical prowess, problem-solving, and attention to detail. With strong interpersonal and communication abilities, he excels in leadership, team building, and cross-functional collaboration. Amit is adept at creating project plans, fostering team development and performance, and managing stakeholders effectively. His expertise extends to coaching, conducting performance reviews, and navigating change with organizational leadership in data operations.
Designation: Operations Manager-AI & ML
Company:Shaip.AI
Sujit Mishra has been the Operations Manager for AI & ML at Shaip.AI since December 2023. With over 20 years of experience, including a decade in IT project management, he specializes in Digital Mapping domains across various technologies like GIS Mapping, Photogrammetry, LiDAR, Data Science, and AI & ML. Passionate about developing innovative solutions, Sujit has led large-scale projects in ADAS, Healthcare, and Geospatial sectors, aiming for positive ROI and customer satisfaction. He emphasizes collaborative relationships with stakeholders and seeks opportunities for mutual growth and success in the AI and ML domain.
Among the most pressing issues the world faces nowadays is climate change, which is why forward-thinking AI professionals are embracing this worldwide task. By analyzing large data sets, artificial intelligence (AI) is helping us anticipate extreme weather occurrences, better understand climate patterns, and increase energy efficiency. Furthermore, creative people are revolutionizing renewable energy technologies with AI to make them more affordable and available.
As artificial intelligence (AI) continues to grow in scale and sophistication, its ethical implications have become increasingly important. This year’s innovators not only recognize the value of ethical AI but are actively working to make AI systems more fair, transparent, and responsible. They’ve addressed topics like algorithmic bias and data privacy, creating new norms for responsible AI innovation.
Collaboration is at the core of this year’s innovations. AI is a multi-disciplinary field, so innovators have worked across industry boundaries, partnering with academics, governments, and private sectors. These partnerships have sped up AI R&D, resulting in more robust and advanced AI solutions.
Education is a crucial enabler for AI’s long-term success, and many of this year’s innovators have worked to democratize AI knowledge. They’ve created AI education programs and open-source tools and platforms to make AI easier for students, developers, and the general public to use. These innovators contribute to the development of the world’s next generation of AI talent and the promotion of the advantages of AI across the globe.
As we look back at the accomplishments of these AI pioneers, it’s easy to see that their work isn’t just about technology; it’s about changing the world. Their efforts are shaping a future where AI improves our abilities, simplifies our lives, and tackles some of the world’s biggest challenges.
The year 2024 has been a great year for young innovators in the field of AI. As we move forward into the next year, we can only hope that their hard work and dedication will result in even more notable innovations in the world of AI. The future of AI is still out there, and thanks to the innovators in this field, the road ahead is clear and full of promise.
The '40 Under 40' AI innovators of 2024 have together accomplished the best of bothe humanity, and technology. Their piece of work consists of much more than just technical prowess. These trailblazers serve as a reminder that humanity lies at the heart of technology, even as artificial intelligence advances. Their lives and the world they create will always be their legacy, not the code or algorithms they create. AI is in skilled hands for the future.
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