The strongest AI voices should not simply folks with spectacular job titles. They’re researchers pushing the technical boundaries of AI. Founders constructing AI communities. Practitioners turning fashions into merchandise. Even leaders, serving to companies perceive what this expertise can truly do. This turns into much more vital once we take a look at India’s rising position within the international AI ecosystem. India now has a number of specialists actively shaping how AI is known and utilized. Many of those voices might be a part of DataHack Summit 2026 or DHS 2026, one among India’s largest AI and knowledge science gatherings.
On this article, we spotlight the highest AI voices to observe in 2026, as showing on the DataHack Summit 2026. The listing consists of researchers, founders, knowledge science leaders, enterprise AI specialists, and practitioners who’re contributing to the way forward for synthetic intelligence in significant methods. And in case you are any little bit of an AI fanatic, these are precisely the folks whose insights will aid you get an excellent grasp of the way forward for AI.
So, with none delay, allow us to try the highest AI voices of 2026 right here.
1. Dheeraj Nagaraj
Analysis Scientist, Google DeepMind
We start the listing sturdy with Dheeraj Nagaraj, who brings frontier AI analysis credibility to this listing. At Google DeepMind, he works throughout theoretical machine studying, utilized chance, statistics, sampling, generative modelling, and diffusion fashions. His present analysis focuses on generative modelling by diffusion-based approaches, which places him near one of the vital vital areas of contemporary AI improvement. His DataHack Summit 2026 session on fine-tuning diffusion fashions additionally connects straight with how generative AI programs could be formed for downstream purposes.
With a PhD from MIT and a twin diploma in Electrical Engineering from IIT Madras, Dheeraj brings critical technical depth to this listing of prime AI voices in 2026.
2. Alessandro Romano
Senior Knowledge Scientist, Kuehne+Nagel
Alessandro Romano stands out as one of many strongest public-facing AI practitioners at this time. As a Senior Knowledge Scientist at Kuehne+Nagel, he brings over seven years of expertise in knowledge evaluation and deep technical experience in constructing LLM-based options throughout industries. His credibility additionally comes from his presence as an completed public speaker, which makes him extremely related for an inventory of prime AI voices.
At DHS 2026, his workshop focuses on constructing agentic AI purposes from scratch utilizing LangGraph and Python, masking software utilization, ReAct-style reasoning, RAG, context engineering, MCP, multi-agent patterns, and cloud deployment.
3. Kunal Jain
Founder & CEO, Analytics Vidhya
Kunal Jain is among the most vital ecosystem builders in India’s knowledge science and AI area. Because the Founder and CEO of Analytics Vidhya, he has helped construct India’s largest analytics and knowledge science group. He has spent over 18 years within the knowledge science area, with expertise throughout mature markets like the UK and fast-growing markets like India.
Kunal’s work has helped numerous learners and professionals construct careers in knowledge science and AI. Earlier than beginning Analytics Vidhya, he studied at IIT Bombay and labored with firms resembling Capital One and Aviva Life Insurance coverage throughout totally different geographies.
4. Mathangi Sri
Co-founder, YuVerse
Mathangi Sri brings uncommon depth throughout AI management, enterprise programs, patents, authorship, and group contribution. As Co-founder of YuVerse, she helps enterprises use AI for alternate-data scoring, clever doc processing, voice automation, credit score decisioning, fraud detection, and workflow automation. Earlier than YuVerse, she served as Chief Knowledge Officer at Yubi, the place she formed the corporate’s knowledge technique, governance framework, and AI roadmap.
Sri holds over 100 patent grants, has authored books on pure language processing and knowledge science, and has constructed knowledge science organisations at Citibank, HSBC, GE, [24]7.ai, PhonePe, and Gojek. Her recognition throughout AI, BFSI, and knowledge management makes her one of many strongest names on this listing.
5. Dr. Sayan Ranu
Professor, Division of Laptop Science and Engineering, IIT Delhi
Dr. Sayan Ranu provides sturdy educational and analysis weight to this lineup. He holds joint positions as Nick McKeown Chair Professor at IIT Delhi’s Division of Laptop Science and Engineering and the Yardi Faculty of AI. His analysis spans machine studying and knowledge mining for graphs, with a PhD from the College of California, Santa Barbara. He has obtained a number of main recognitions, together with the ACM India Early Profession Researcher Award Honourable Point out, INSA Affiliate Fellowship, and a number of excellent reviewer awards at main conferences.
Dr Ranu’s DHS 2026 session on AI brokers for algorithm discovery makes him particularly related in a 12 months the place agentic AI is changing into central to each analysis and real-world problem-solving.
6. Dipanjan Sarkar
Head of Synthetic Intelligence & Group, Analytics Vidhya
Dipanjan Sarkar is one among India’s most recognised practitioner voices in AI and knowledge science in 2026. At Analytics Vidhya, he leads synthetic intelligence and group, whereas additionally working as an creator, advisor, and advisor. His expertise spans machine studying, deep studying, Generative AI, Agentic AI, laptop imaginative and prescient, and NLP. He has labored with Fortune 100 enterprises, startups, engineers, architects, CXOs, and PhDs throughout AI technique and improvement. His recognition as a Google Developer Knowledgeable and one among LinkedIn’s prime influential AI voices strengthens his place on this listing.
7. Abhishek Kumar
Senior Director Knowledge Science, Publicis Sapient
Abhishek Kumar brings sturdy enterprise AI and public educating credibility to this lineup. He has practically 20 years of expertise throughout knowledge science, AI, and machine studying, and at the moment works as Senior Director of Knowledge Science at Publicis Sapient. His profile combines business management with educational and group contributions, together with work as a Google Developer Knowledgeable in machine studying, a Pluralsight creator, and an teacher at Berkeley Haas. This makes him a reputable AI voice for professionals seeking to perceive each the technical and enterprise sides of AI adoption.
8. Hardik Meisheri
Senior Utilized Scientist, Microsoft AI
Hardik Meisheri represents the utilized analysis facet of contemporary AI. As a Senior Utilized Scientist at Microsoft AI, he brings greater than a decade of expertise throughout reinforcement studying, machine studying, provide chain optimisation, multi-agent coordination, and RLHF. His work connects straight with a number of the most vital questions in AI at this time, particularly round brokers, alignment, reward optimisation, and safer mannequin behaviour. His DHS 2026 session on the hidden value of optimising uncommon indicators makes him particularly related for anybody monitoring the deeper challenges of real-world AI deployment.
9. Tanika Gupta
Director Knowledge Science, Sigmoid
Tanika Gupta provides sturdy enterprise GenAI credibility to this listing. As Director of Knowledge Science at Sigmoid, she brings over 14 years of expertise in utilized AI, machine studying, and knowledge science. Her work has centered on constructing large-scale AI programs, driving measurable enterprise outcomes, and making use of AI throughout advanced enterprise environments. She has additionally held senior machine studying management roles at JPMorgan Chase. Her recognition as a prime Generative AI scientist and her work round deployed AI programs make her a robust voice for understanding how GenAI strikes from experimentation to enterprise impression.
10. Harshad Khadilkar
Director, Principal Analysis Scientist, Franklin Templeton
Harshad Khadilkar brings a uncommon mixture of analysis depth, enterprise expertise, and educational energy. At Franklin Templeton, he works on making generative AI programs extra dependable and succesful. He’s additionally a visiting affiliate professor at IIT Bombay, the place he teaches management, optimisation, and reinforcement studying. His work over the previous decade has utilized clever algorithms throughout finance, power, transportation, and provide chains. With levels from IIT Bombay and MIT, he brings critical technical authority to AI conversations, particularly round agentic programs and reinforcement studying.
11. Anand S
LLM Psychologist, Straive
Anand S brings sturdy public voice credibility to this listing. He’s an LLM Psychologist at Straive, although he brazenly describes it as an unofficial title. He additionally co-founded Gramener, a knowledge science firm identified for visible knowledge storytelling, which was later acquired by Straive. His profile stands out as a result of he’s thought-about one among India’s prime 10 knowledge scientists and is an everyday TEDx speaker. That mixture of knowledge science depth, storytelling potential, and public talking makes him extremely related for this listing of prime AI voices in 2026.
12. Arun Prakash Asokan
World Director of Knowledge Science and AI, Novartis
Arun Prakash Asokan represents enterprise AI management at a worldwide scale. As World Director of Knowledge Science and AI at Novartis, he leads AI and GenAI programmes centered on actual enterprise impression. His profile consists of near 17 years of expertise throughout AI, together with seven years at Novartis. He has additionally been recognised as a Prime Gen AI Chief by Analytics Vidhya and has delivered tons of of talks, together with 75+ GenAI periods within the final two years. His work makes him a robust voice on enterprise-grade AI adoption.
13. Manu Joseph
Principal Knowledge Scientist, Walmart World Tech
Manu Joseph brings sturdy enterprise-scale AI and knowledge science credibility. As Principal Knowledge Scientist at Walmart World Tech India, he works on machine studying programs on the scale of one of many world’s largest retailers. Over 15+ years, he has utilized AI throughout Fortune 500 digital transformation initiatives. This consists of provide chain demand forecasting and deep studying analysis. He’s additionally identified for creating the PyTorch Tabular framework. His work in time collection forecasting, together with a bestselling ebook on the topic, additionally good points him international recognition.
14. Mayank Baranwal
Senior Scientist, Knowledge and Choice Sciences, TCS Analysis
Mayank Baranwal brings analysis depth from AI, optimisation, management, and choice sciences. He’s a Senior Scientist at TCS Analysis and in addition holds an adjunct appointment with the Techniques and Management group at IIT Bombay. His educational background consists of IIT Kanpur, UIUC, and postdoctoral work on the College of Michigan. His analysis covers modelling, optimisation, management, inference in community programs, supply-chain networks, microgrids, computational biology, and deep studying principle. Mayank’s work makes him extremely related for AI purposes in advanced decision-making programs.
15. Manoranjan Rajguru
AI Architect, Microsoft
Manoranjan Rajguru brings sensible enterprise GenAI experience to the listing. He’s an AI Architect related to Microsoft and has over 14 years of expertise throughout software program improvement, knowledge science, and machine studying. His work focuses on enterprise-scale GenAI programs utilizing LLMs, RAG, and agentic frameworks. He additionally brings hands-on experience throughout Azure OpenAI, LangChain, NLP, OCR, MLOps, AWS, and Azure. His DHS 2026 workshop on enterprise agent programs makes him particularly related for professionals seeking to transfer from easy chat purposes to production-ready AI brokers.
16. Rohan Rao
Head of AI Merchandise, Analytics Vidhya
Rohan Rao brings a robust product and practitioner lens to this listing. As Head of AI Merchandise at Analytics Vidhya, he works on the intersection of machine studying, AI product improvement, and enterprise impression. His profile is particularly related as a result of the AI dialog in 2026 is shifting from mannequin functionality to product usability, deployment, and measurable outcomes. For readers excited by how AI concepts turn into helpful instruments, Rohan represents a builder-led voice with deep expertise in utilized knowledge science and AI merchandise.
17. Abhilash Majumder
Senior Compiler Engineer, NVIDIA
Abhilash Majumder provides deep systems-level credibility to the listing. As a Senior Compiler Engineer at NVIDIA, he works near the efficiency layer that powers trendy AI programs. His experience consists of CUDA, PTX, compilers, and domain-specific languages, all of that are essential to creating AI fashions run sooner and extra effectively. He has additionally labored with Intel and Habana Labs, and contributes to C++ requirements work. His voice issues as a result of AI is not only about fashions anymore; it is usually in regards to the infrastructure that makes them usable at scale.
18. Saurav Agarwal
Senior Supervisor – Options Structure and Engineering, NVIDIA
Saurav Agarwal brings sturdy enterprise implementation credibility to the lineup. At NVIDIA, he works throughout options structure and engineering, with expertise in Generative AI, Huge Knowledge Engineering, Cloud Computing, LLMs, Conversational AI, and Knowledge Science. His position sits near the sensible facet of AI adoption, the place firms want scalable, dependable, and production-ready programs. This makes him related for these making an attempt to grasp how organisations are transferring past AI demos and constructing actual AI infrastructure for enterprise use instances.
19. Nitin Agarwal
Principal Knowledge Scientist, Atlassian
Nitin Agarwal brings sturdy GenAI and enterprise AI expertise to the listing. As Principal Knowledge Scientist at Atlassian, he works throughout Giant Language Fashions, NLP, machine studying, and clever automation. His profile consists of constructing end-to-end AI platforms, LLM-powered programs, and clever workflows for choice intelligence and information discovery. His DHS 2026 workshop on constructing real-world AI programs with Small Language Fashions additionally makes him related in 2026, as firms search for sooner, cheaper, and extra environment friendly options to massive model-heavy AI programs.
20. Praneeth Paikray
Options Architect – AI, Databricks
Praneeth Paikray represents the utilized AI programs facet of the trendy knowledge stack. As a Options Architect – AI at Databricks, he works on serving to enterprises construct sensible knowledge science and AI programs. His expertise spans monetary companies, enterprise expertise, workforce options, generative AI workflows, agentic architectures, and optimisation strategies. This makes him a helpful voice for professionals who need to perceive how AI strikes from experimentation to business-ready programs. His work connects effectively with the rising want for scalable, dependable, and production-focused AI adoption.
21. Nikhil Rana
Senior Technical Options Advisor, AI/ML, Google
Nikhil Rana brings a robust utilized AI and cloud perspective to this listing. At Google, he works as a Senior Technical Options Advisor in AI/ML, with over a decade of expertise in growing and implementing machine studying, deep studying, and GenAI options throughout industries resembling finance, retail, and power. His DHS 2026 workshop focuses on evaluating, testing, debugging, and deploying dependable AI brokers utilizing Google’s Agent Growth Equipment, making him extremely related to the manufacturing facet of agentic AI.
22. Sandeep Singh
Knowledgeable Senior Director, Bain & Firm
Sandeep Singh provides sturdy consulting and enterprise AI management to the lineup. As an Knowledgeable Senior Director at Bain & Firm, he brings deep expertise in deep studying, synthetic intelligence, machine studying analysis, and business transformation. His profile additionally highlights his work as a speaker, workshop chief, and mentor for aspiring AI professionals. At DHS 2026, his utilized AI masterclass focuses on utilizing AI-powered improvement platforms to construct production-ready software program sooner, which makes him related for enterprise and expertise groups adopting AI-native workflows.
23. Dr. Aditya Bhattacharya
Utilized AI/ML Lead, Nutanix
Dr. Aditya Bhattacharya brings sturdy utilized AI, explainability, and group credibility. At Nutanix, he works on advancing utilized AI and machine studying options for Panacea AI. He has over 10 years of expertise throughout knowledge science, machine studying, IoT, and software program improvement, together with a PhD in Explainable AI from KU Leuven. He’s additionally the creator of Utilized Machine Studying Explainability Strategies and has spoken at conferences resembling AAAI, ACM, ODSC, Indo Knowledge Week, and GIDS.
24. Bhaskarjit Sarmah
Head of Monetary Companies AI Analysis, Domyn
Bhaskarjit Sarmah brings sturdy AI analysis depth in monetary companies. As Head of Monetary Companies AI Analysis at Domyn, he has over 11 years of knowledge science expertise throughout industries. His earlier work at BlackRock included machine studying options for liquidity threat analytics, pricing alternatives in securities lending, and market regime change detection utilizing community science. His experience throughout NLP, laptop imaginative and prescient, and unstructured knowledge additionally makes him related for professionals monitoring how AI is being utilized in high-stakes monetary decision-making.
25. Sudalai Rajkumar
AI Improvements, Tiger Analytics
Sudalai Rajkumar is a part of the DHS 2026 speaker lineup as an AI Improvements skilled at Tiger Analytics. His inclusion provides a consulting and utilized AI innovation perspective to this listing. Tiger Analytics works carefully with enterprise knowledge and AI transformation. This makes his position related for readers excited by how AI is being utilized throughout enterprise features, and earns him a spot on this listing of prime AI voices in 2026.
Conclusion
AI in 2026 is transferring too quick to comply with solely by mannequin launches and product updates. The true route of the business can be formed by the folks researching new programs, constructing AI merchandise, fixing enterprise issues, and educating the broader group methods to use this expertise higher.
The audio system on this listing of prime AI voices in 2026 symbolize that blend. Some carry frontier analysis depth, some carry enterprise AI expertise, some carry group affect, and a few carry sensible builder-led information. Collectively, they present how broad the AI ecosystem has turn into.
So, if you wish to perceive the place AI is heading subsequent, these are a number of the prime AI voices value following carefully in 2026.
Login to proceed studying and luxuriate in expert-curated content material.
