Dr. Scott Askinosie specializes in intent-driven context engineering for autonomous AI systems at scale. With a Ph.D. in Quantitative Biology and 7+ years of applied ML experience, Scott bridges the gap between cutting-edge research and production-grade agentic systems.

He has delivered 20+ technical workshops to Fortune 500 enterprises including NATO and Fannie Mae, architecting multimodal RAG systems and agentic orchestration frameworks that power real-world deployments. His work focuses on transforming complex AI concepts into actionable implementations for mission-critical systems.

Francisco Vidal is a Principal Data Scientist and AI Strategist currently leading innovation at Puerto San Antonio. He is the Founder & CEO of xSingular, where he develops xStryk, a Decision Intelligence platform integrating knowledge graphs and autonomous agents.

With a strong focus on Deep Tech, Francisco specializes in transforming complex industrial data into actionable strategic simulations. His work enables organizations to make smarter, data-driven decisions in highly complex environments.

Dan Healy is a strategy, research, and intelligence consultant with over three decades of experience across analytics, behavioral science, and AI.

He has advised corporations, governments, and investment institutions on using data, insight, and behavioral understanding to strengthen communication, reputation, and strategic decision-making.

Dan studied behavioural economics at the London School of Economics and has presented at the World Economic Forum in Davos. He is also the author of upcoming books exploring AI, digital cognition, and their impact on business and society.

Dr. Olger Huamani Jordan is a RENACYT-certified researcher and professor specializing in education, language, and digital transformation in learning systems.

He has published in leading journals such as BMC Psychology, Computers & Education: Artificial Intelligence, and Social Sciences & Humanities Open, focusing on AI in education, digital inclusion, and academic innovation.

His work explores how machine learning and emerging technologies can enhance teaching methodologies, improve curriculum design, and support adaptive, intelligent learning environments for the future.

Jacob Yates, Ph.D. is a Teaching Assistant Professor and Walton AI Fellow at the Sam M. Walton College of Business, University of Arkansas.

His teaching focuses on business analytics, information systems, data visualization, and the practical application of AI in business education.

As a Walton AI Fellow, he leads initiatives in AI integration across teaching, curriculum development, and faculty support, creating scalable and responsible AI-enabled learning experiences.

He has developed innovative programs including an AI in Business honors course, AI-enhanced analytics projects, and hands-on learning models that help students effectively apply AI in real-world business contexts.

Mina G. G. Helkany is the Head of Data Science at Trolley, leading data and AI initiatives across Kuwait and KSA. With over 20 years of experience in data engineering, analytics, and machine learning, he specializes in building end-to-end data ecosystems and deploying AI solutions into real business operations. Mina has led large-scale digital transformation projects across retail and oil & gas, focusing on turning data into actionable decision systems that drive revenue and operational efficiency.

Tiago Albineli Motta is a Software Engineer and AI/Data Scientist with over two decades of experience building scalable, production-ready systems. Currently a Principal Software Engineer at Will Bank, he focuses on combining deep technical execution with advanced data intelligence to deliver measurable business outcomes. His work centers on transforming complex data challenges into real-world solutions that drive user growth, improve conversion rates, and create tangible business impact.

Olena Kasian is a PhD researcher in Management at Sumy State University (Ukraine) and the founder of OKTOWN, a digital marketplace for tourism services. Her work focuses on the integration of AI technologies, digital transformation, and sustainable development in tourism. She specializes in developing innovative models for small and medium-sized tourism businesses, with a strong emphasis on accessibility and the silver economy across Ukrainian and European contexts.

Dr. Daniela Schulz is a Senior Editor at Deutsche Welle, working at the intersection of journalism, culture, and responsible AI. She focuses on human‑centered AI adoption in editorial environments, with a particular interest in ethics, cultural context,and global perspectives. Her work bridges newsroom practice and strategic thinking, exploring how AI can support human judgement in storytelling.

Okechukwu Nicholas is a Solutions Architect and AI Researcher focused on building scalable, responsible AI systems. He is passionate about bridging AI research and practical, ethical applications.

Stanley Uzum is a Data Scientist and Machine Learning Engineer with an MSc in Data Science (Distinction) from the University of Roehampton, London. He specializes in designing and deploying scalable AI systems that move beyond experimentation into real-world impact.

His work focuses on bridging the gap between machine learning models and production systems, with experience in data-driven solutions, deployment, and applied AI. He is particularly interested in building reliable systems that deliver measurable business value.