Top Artificial Intelligence Experts 2025

Authored 20 AI research papers. Website: https://prane-eth.github.io/

I help organizations stop treating AI like a science project and start using it to run real work. Currently the senior director of AI strategy at ABBYY, a global leader in Document AI and digital transformation solutions. With over 10 years of experience in the AI field, I lead the creation and execution of the go-to-market strategy for ABBYY's cutting-edge AI technology, delivering value to customers and stakeholders across various industries and domains. My core competencies include product vision and strategy, technology evangelism, customer innovation, and digital transformation. I am passionate about building and launching innovative products that solve real-world problems, leveraging AI capabilities and technology ecosystem. I also enjoy evangelizing technology offerings and sharing my insights and expertise as a thought leader in the AI space. My mission is to help customers and partners achieve their digital transformation goals and unlock new opportunities with AI.

With over 15 years of hands-on experience in affiliate marketing, e-commerce, and digital growth strategy, I’ve helped brands scale profitable online partnerships and build high-performing affiliate ecosystems. As the founder of BestAIFor.com - a fast-growing AI tools directory, benchmark platform, and independent review hub - I now combine my performance marketing background with deep expertise in the AI landscape. I personally evaluate and benchmark hundreds of AI tools every month, tracking real-world metrics like speed, accuracy, pricing shifts, ROI, and usability across productivity, content, marketing, and creative workflows. My work focuses on cutting through the hype to deliver actionable, data-backed insights that help solopreneurs, marketers, and businesses choose the right AI stack for 2026 and beyond. Whether I'm setting up affiliate programs for AI tool makers, optimizing campaign performance with AI-powered automation, or identifying emerging trends through original benchmarks, I’m driven by one goal: turning complex technology into practical growth advantages. I’m passionate about sharing transparent, no-BS analysis and helping the industry move faster with better information. You’ll often find me publishing fresh benchmarks, “State of AI Tools” micro-reports, and strategic guides on BestAIFor.com.

I am Brian Tham, an Applied Artificial Intelligence undergraduate at Singapore Institute of Technology with a strong academic record and practical experience in AI research and development. My work focuses on advancing AI applications, particularly in the areas of model protection, computer vision, and machine learning. You may view my portfolio/website at https://tham.ai As a Research Student at Singapore Institute of Technology, I've contributed to significant work on AI model protection, specifically focusing on defending deep neural networks against model extraction attacks. My research encompasses model watermarking, adversarial robustness, and advanced defense mechanisms, with practical applications in medical imaging through UNet model implementation for brain MRI segmentation. My technical portfolio includes notable projects such as FoodVision, a real-time deep learning food detection system utilizing YOLOv8 technology, and a Speech Emotion Recognition system based on Wav2Vec2. I've also conducted comprehensive analyses of emerging technologies, including a detailed study of ransomware impacts across various industries and an evaluation of AI chatbot capabilities. Previously, I enhanced medical education at Lee Kong Chian School of Medicine, where my e-learning courseware development contributed to a 20% improvement in student test scores. My professional experience extends to the Ministry of Defence of Singapore, where I specialized in data processing automation and visualization using PowerBI and Excel. I hold multiple prestigious certifications, including Google Professional Machine Learning Engineer, Google Business Intelligence, and AI4I® – Proficiency in AI from AI Singapore. My technical expertise spans Python, machine learning frameworks (TensorFlow, PyTorch), and data analysis tools, complemented by a deep understanding of quantum computing, large language models, and autonomous vehicle technologies. This combination of academic excellence, practical research experience, and technical expertise positions me at the forefront of AI innovation and its real-world applications.

Ian Bann is an AI-driven SEO strategist focused on diagnosing how authority and visibility break inside AI-generated search results. His work examines AI search visibility, attribution behaviour, and why strong websites lose visibility despite strong traditional SEO signals. He studies how AI systems interpret, summarise, and reuse website content, and why certain sources are selected while others are ignored. Ian focuses on AI search visibility, entity clarity, and the structural signals that influence attribution and trust in generative search environments. He shares practical observations, analysis and what ai tools to use to tract how AI systems surface information and what changes improve visibility inside AI-generated answers. Edit

Head of AI Foundry at Evergreen Insight Global, where I lead both engineering and sales teams building AI/ML-enabled software for Fortune 500 clients in healthcare, financial services, and biopharma. I specialize in zero-trust AI architectures, enterprise governance frameworks, and production-grade AI guardrails for regulated industries. I've scaled our AI Foundry team from 0 to 70 people while maintaining hands-on technical involvement in client deployments. Previously served as VP of Data & AI at Truist Financial. Academic credentials include Stanford, MIT, and BITS Pilani, with 15+ years of experience spanning corporate banking, AI/ML engineering, and enterprise software development. Recent research contributions include presenting at ICMLA 2025 and being invited as a session chair for their Generative AI track. My work focuses on practical enterprise AI deployment patterns and responsible AI implementation at scale. Available to comment on: enterprise AI strategy, AI governance and compliance, agentic AI systems, AI in regulated industries, building and scaling AI teams, and the gap between AI research and production deployment.

As an AI SEO strategist and high-quality AI content writing expert, I help B2B brands, digital agencies, and SaaS companies scale their content marketing efforts using AI-driven strategies. 💡 What I Do: 👉 Implement AI-powered SEO strategies to improve organic traffic & rankings. 👉 Optimize AI-generated content to ensure human-like quality & searchability. 👉 Help businesses automate & streamline their content production without sacrificing engagement. 📈 How I Can Help Your Business: 👉 Increase search visibility & organic reach through AI-driven SEO. 👉 Develop high-quality, optimized content at scale. 👉 Improve content workflows with AI automation & strategic insights. I share my insights on AI blogging, SEO automation, and content strategy at harisundar.com. Let’s connect if you’re looking for AI-powered solutions to take your content marketing to the next level. Little of my story From battling a chronic illness since childhood to stepping into online marketing. Self-taught SEO, Content Writer, AI tools expert, and Blogger. I spent most of my time learning the latest and industry-leading SEO strategies to grow my blog’s traffic quickly. I am here to help you with your SEO and content writing needs. Rebranding under harisundar.com, I now share insights and reviews, embracing imperfection and continual growth. Through perseverance and learning, I've found purpose and passion in sharing valuable content with others, aiming to inspire and inform.

As the CMO and Founding Member of AiNews.com, I’m passionate about making AI news accessible and understandable to audiences worldwide. My journey in AI journalism and digital marketing has been driven by a commitment to responsible, transparent reporting and a vision of democratizing AI insights. At AiNews.com, we bring the latest in AI developments to a global readership, blending timely, in-depth reporting with cutting-edge storytelling, including AI avatars that bring complex stories to life. I helped found AiNews.com to fill a gap in aggregating trustworthy AI news in one place, helping leaders in AI and tech stay informed on impactful trends while minimizing their time in searching for news. Our team’s dedication to transparency and ethical reporting has established AiNews.com as a respected source among AI enthusiasts, tech leaders, and business decision-makers. Journalists interested in AI's evolving impact on business, society, and emerging tech will find AiNews.com’s perspective invaluable. I'm excited to connect, collaborate, and share insights that contribute to understanding and shaping AI's future.

Founder of Skillenai. AI/ML engineer at SimplePractice. AI engineering and data science leader with 10+ years building production ML and LLM systems, including AI agents, retrieval infrastructure, and large-scale NLP pipelines. Founder with exit: built The Knowledge Roundtable (acquired by Varsity Tutors); scaled to 100k users. Co-inventor on 7 patents in fintech risk modeling and payments infrastructure. Certified AI Engineer (AI Makerspace, 2025).

Monica is the Founder and CEO of Monic AI Systems, where she helps small and mid-sized businesses become visible inside AI platforms like ChatGPT, Claude, Perplexity, and Google AI. With over 20 years of experience across companies including BP, ExxonMobil, and NTT Data, she has led large-scale digital transformation and data initiatives that have driven more than $300M in measurable business impact. Today, she focuses on what she calls “AI Visibility” — helping businesses get recommended by AI instead of lost in traditional search results. Her work combines content strategy, entity positioning, and AI-driven marketing systems to help companies attract customers in a world where “AI does not rank, it selects.” She is frequently sought after for commentary on how AI is changing marketing, search behavior, and customer acquisition.

Dr Sarah J Daly is a leading AI Strategist and Researcher specialising in Trust, Governance, and Human Capability for Enterprise AI. With a PhD and deep expertise in responsible AI adoption, she helps organisations navigate the complex intersection of artificial intelligence, human decision-making, and institutional accountability. As founder of AI 360 Review, Sarah provides evidence-based frameworks that enable enterprises to deploy AI with confidence, clarity, and ethical rigour. She is a sought-after voice on the human dimensions of AI transformation — from workforce readiness to governance design — and brings a rare combination of academic depth and real-world strategic insight to every engagement. Whether advising boards, speaking at industry events, or publishing original research, Sarah translates the complexity of enterprise AI into actionable, trustworthy guidance.

Elizabeth (Liz) Ngonzi is a human-centered AI innovator, executive advisor, and educator who designs AI-powered decision environments and platforms that strengthen human judgment, leadership, and accountability. She works with boards, executive teams, and institutions to move AI from experimentation into accountable, system-level adoption that improves decision quality, governance, and strategic clarity. Liz is the Originator, Editor-in-Chief, and Founding Platform Architect of AI for Humanity: Human-Centered Strategies for Innovation and Impact, an AI-powered platform and living anthology developed with the American Society for Artificial Intelligence (ASFAI). She also serves on ASFAI’s Board of Directors and is the Founding Chair of its Ethics & Responsible AI Committee. Through AI for Humanity, she convenes and synthesizes contributions from 40+ authors, using her 1+1+AI=10™ methodology and SHINE™ storytelling framework to model ethical, human-guided AI in practice and translate complex conversations into clear, values-aligned insight for leaders responsible for governance, workforce transformation, and innovation. An Adjunct Assistant Professor at NYU’s Center for Global Affairs, Liz designs and teaches the AI for Impact professional learning series, which helps cross-sector practitioners build practical, ethical AI use cases and custom agents. Her teaching integrates real-world experimentation with tools such as ChatGPT, Canva, AskHumans, NotebookLM, and Liz Ngonzi GPT ∞ — Human-Centered AI Guide, showing how AI can amplify human judgment, accountability, and public communication. Since 2023, her AI-focused leadership initiatives have reached more than 12,000 professionals across six continents. Her applied work spans Cornell Tech, the Mensa Foundation, and collaborations with global institutions exploring AI, democracy, and language. She is an inaugural member of the Gamma Gambassador Council and was selected for the inaugural Perplexity AI Business Fellowship, joining a global cohort of leaders exploring AI’s evolving role in business strategy. At Davos 2026, Liz launched AI for Humanity @ Davos, using the platform to deliver live synthesis of conversations on AI, governance, and workforce change. She has 25+ years of cross-sector experience across technology, business, education, and social impact and works selectively with boards, executive teams, and institutions seeking clear, accountable, and human-centered approaches to AI.

Paul Irolla, I am available for expert insights on: AI ethics & business impact, cybersecurity trends, LinkedIn/creator economy strategies, SaaS product building and machine learning. Let's make complex tech accessible and quotable. My background: - CEO of Meet Lea (AI that manages LinkedIn authentically: content, comments, engagement in your voice – safe & effective). - Ph.D. in Artificial Intelligence and Cybersecurity (Paris-Saclay University). My thesis was on neural networks for Android malware. - International speaker (Black Hat Asia, Chaos Communication Congress, ForSE). - Reviewer of scientific papers for Journal of Computer Virology and Hacking Techniques.

Maid Dizdarevic is a career strategist and 8x LinkedIn Top Voice covering AI in job search, ATS systems, and modern hiring. Her content reaches over 1 million professionals monthly, breaking down how AI is rewriting resumes, interviews, and recruiter outreach in 2026. She is the creator of HIRED, a 90-day AI job search playbook used by job seekers to navigate ATS filters, AI-screened applications, and the new interview landscape shaped by tools like ChatGPT and Claude. Available for commentary on: AI in hiring, ATS optimization, resume strategy, LinkedIn personal branding, the shift away from traditional job applications, career pivots in the AI era, and how candidates can use AI ethically in their search. Based in San Francisco, USA, available for written quotes, async interviews, and timezone-flexible calls with US and UK publications.

Leo Morejon has spent his career at the intersection of technology and human behavior. He got his start at JWT when social media was still new territory for brands, then spent years at 360i running Oreo cookie's social media. That run produced the first Guinness World Record ever achieved through social media and the Oreo Blackout Tweet during Super Bowl XLVII. That single post redefined what it meant for a brand to be present, fast, and human in the moment. This work has been recognized with a Cannes Lion, CLIO, and other awards. He has also taught digital marketing and MarTech as an adjunct professor at Iowa State University and West Virginia University. Today Leo leads social media marketing and influencer marketing in-house for major brands and is a leader in AI. He sits on the AI Center of Excellence for a Fortune 500 company and builds and teaches AI on his own. His projects include JingleMyBrand.com, an AI jingle generator he vibe-coded in a weekend. What drives him isn't the technology itself but the harder questions underneath it: How do we use AI responsibly? What do we owe the people these systems affect? What does it mean to stay human as the tools get faster? Outside of work, Leo is a husband and father to a fearless three-year-old and a pug.

Vinothkumar Kolluru is a Senior Data Scientist at Fractal Analytics with 9+ years of experience in NLP, Machine Learning, and Deep Learning. He builds AI-driven solutions that improve customer experience and decision-making, with a focus on customer segmentation, friction detection, and digital journey optimization for large-scale web platforms. He has delivered end-to-end models across tech, healthcare, and marketing—ranging from NLP-based document summarization and topic categorization to predictive analytics—using transformer architectures (e.g., BERT), sequence models, and classical ML. Vinoth has also led analytics initiatives such as call categorization for healthcare contact centers and relevance modeling to improve campaign targeting and performance. A passionate researcher and contributor to the AI community, Vinoth has 50+ publications and 246 citations (h-index 9). He is recognized with the Dr. Abdul Kalam Young Achiever National Award and holds an MS in Data Science from Stevens Institute of Technology, along with a Gold Medal in Engineering from Anna University. His core toolkit includes Python, SQL, AWS, and Azure, and he enjoys translating complex data into practical, measurable business impact.

Dhyey is an AI & computational math researcher at Amherst College. His work sits between statistical learning and mathematical rigor, developing methods and software for robust modeling, efficient computation, and machine-assisted reasoning. He's especially interested in bridging foundations (proofs, geometry, probability) with practical ML systems. Previously he has published novel open-source Python packages amassing 40k+ downloads, and published papers with professors and executives of Fortune 500 companies. He's an active guest author and contributing writer to major industry media publications such as VentureBeat, LeadDev, DZone, etc.

Jamie DeAngelis is a brand and content strategy leader with deep expertise in generative AI and a passion for making complex technologies accessible to everyday professionals. She is the author of the book The Savvy Guide for Generative AI Beginners: Craft Smarter Prompts, Manage Risks, and Drive Authentic, Innovative Results (Before AI Does It for You) and leads the Generative AI Center of Excellence at a leading digital agency, where she helps organizations apply AI to real-world business challenges with clarity and confidence. With a Ph.D. and more than a decade of teaching experience at the University of California, Berkeley, Jamie blends academic rigor with industry know-how. She has guided teams and executives through digital transformation, equipping them to think strategically, communicate effectively, and collaborate creatively in the face of emerging technologies. Known for her human-centered approach, Jamie bridges technical literacy with strategic insight and ethical guidance. Her writing and speaking focus on responsible AI adoption, the future of work, and brand storytelling in the age of AI. She is frequently sought out for clear, jargon-free commentary that helps professionals cut through hype and understand what AI means for business and society.

As a software engineer at Featured, I focus on utilizing LLMs and other techniques to ensure Featured runs as smoothly as possible. I use novel applications of LLMs and other generative AIs to automate routine business operations.

Mrs. Durga Chavali is an internationally recognized IT healthcare leader and AI researcher with nearly two decades of experience and a proven track record of implementing enterprise-level technology strategies that improve efficiency, drive digital transformation, and enable data-driven decision-making. She is the proven leader in implementing complex, high-stakes healthcare IT projects with significant ROI, guiding enterprise-level initiatives from concept to execution, and enabling organizations to make informed decisions that optimize operations, reduce risk, and enhance financial and clinical outcomes. Ms. Chavali is a Doctor of Health Care Administration and a results-driven healthcare IT executive who consistently delivers measurable improvements in clinical outcomes, operational efficiency, and financial performance by making strategic, data-informed decisions that optimize enterprise-level processes and drive organizational success. She has been honored with the Fellow Honorary of IETE, Distinguished Fellow of SCRS, and Honorary Inducted Member of Phi Kappa Phi. Mrs. Chavali has been recognized for thought leadership through publications in leading healthcare and AI journals and business magazines, translating complex research into actionable strategies that improve patient outcomes, operational efficiency, and financial performance in enterprise healthcare settings. Mrs. Chavali is also a trusted advocate and coach in the AI era, leveraging a strong research background to guide organizations in adopting innovative AI-driven strategies and driving business transformation toward measurable success Mrs. Chavali is an award-winning healthcare IT leader, recognized with the Inspera and ITA Awards for Distinguished Research and Breakthrough Innovation, pioneering innovative solutions that integrate research and industry expertise to drive AI-powered analytics, predictive insights, and compliance automation, delivering measurable improvements in care quality, operational efficiency, and financial outcomes. Ms. Chavali has been further recognized by the most popular and high-circulation media and featured in respected industry publications such as TechBullion and TechTimes, leveraging published insights on healthcare IT, AI, and data-driven innovation to influence cross‑industry discourse and drive enterprise‑level transformation. Mrs. Chavali contributes to organizations such as IEEE and ACM and supports the community through her expertise.