Alejandro Martinez is a strategic leader with a proven track record of building and executing large-scale Data & Analytics programs for global and regional clients across various business areas. With a keen eye for innovation and a knack for challenging the status quo, he has led the creation and implementation of new strategies to optimize data analysis and maximize business value.

Alejandro's contributions have not gone unnoticed, and he has been recognized as one of the Top 50 Global Healthcare Consultants by The Consulting Report, as well as a Visionary Leader in the Data & Analytics field by Analytics Insight. He is also a member of the Forbes Business Council, an invitation-only organization for successful business leaders and entrepreneurs.

In addition, Alejandro shares his expertise and insights as a strategy management lecturer and speaker at industry events.

A Senior Managing Director at Accenture, Lan Guan currently leads the Accenture Center for Advanced AI. Guan advises cross-industry C-suite clients to develop and implement data and Artificial Intelligence strategies and products with strategic goals of helping them grow in the new era of Generative AI. She specializes in data strategy, cloud architecture, robotics, cognitive science, artificial intelligence, and machine learning. During her time at Accenture, she has spearheaded a range of leadership initiatives, including serving on the advisory board of the AI4All organization, which aims to significantly increase the number of next-generation AI talents in society. She also pioneered a FutureofU partnership with multiple start-ups to recruit unconventional data and AI talent into Accenture. Away from Accenture, Guan is an Adjunct Faculty with the Data Science Institute at Columbia University. As the recipient of the Top Women Leaders in Consulting for 2022, Guan has published many industry white papers and journal articles about the growing impact of AI on corporate transformation. She also co-authored a management handbook titled, "Selling Through Someone Else: How to Use Agile Sales Networks to Sell More." In addition, she is a sought-after industry speaker on data and AI. A passionate inventor, Guan holds more than 10 patents. She graduated from Wayne State University with a PhD ABD in econometrics and quantitative economics. Guan also graduated from the University of Michigan with an MBA in computational engineering.

As a Director of Data Analytics and Artificial Intelligence at KPMG US, Jean-Gabriel Prince helps companies leverage advanced technologies to transform their business. With a wealth of experience in various industries, Prince specializes in Data Engineering, Machine Learning, and Natural Language Processing, including Generative A.I. Over the years, he has led various cutting-edge A.I. projects for numerous large institutions. This includes applying machine learning to macro trading, designing and implementing Cybersecurity Data Lakes, Automating Regulatory Reporting, and Financial Document Processing, among many others. Prince’s firm, KPMG, is one of the world’s leading professional services firms with more than 75 offices and over 40,000 employees. Before KPMG, Prince held several leadership positions in London and New York, including Head of Quantitative Research for two Systematic Macro Hedge Funds. He also served as a Portfolio Manager for BlackRock. He holds a M.Sc. in Mechanical Engineering from Imperial College London and another master's in Applied Mathematics from INSA Toulouse. Moreover, Prince holds various certifications in Data Science, Cloud Computing, Artificial Intelligence, Product Management, Agile Methodologies, Cybersecurity, and Risk Management from professional organizations like Microsoft, AWS, (ISC)², Scrum Alliance, and Pragmatic Institute.

• John has an unrivalled track record pioneering specialized AI consulting services — from cloud to core. He provides deep vertical solutions with precision focus and on-demand cloud agility for clients who prioritize information security and domain specificity.

• John specializes in large-scale AI systems that leverage AI agents, language models, and deep learning. John stands out in the industry for building and deploying deep vertical AI solutions that seamlessly integrate business knowledge with cutting-edge AI to deliver domain-specific solutions, securely and at scale.

• John offers advanced AI solutions tailored to complex and nuanced business challenges that demand a profound understanding and sophisticated AI models. His approach goes beyond the mere application of AI, aiming to enhance the capabilities of AI within specific contexts. This strategy ensures the delivery of superior competitive and comparative advantages to his clients.

Paul Henninger is a Partner, Head of UK Connected Technology & Global Lighthouse at KPMG UK. As Head of Connected Technology, Henninger leads all UK Technology teams, including technology advisory, data & analytics, cloud & application engineering, automation; and its enterprise platforms teams across major platforms – including SAP, Oracle, Salesforce, Coupa and others. In his global role, he leads data, analytics, engineering, and automation capabilities. With more than 25 years of experience, Henninger has worked across a wide-range of industries, including retail, technology, financial services, manufacturing, and government. His recent client work includes: leading the technology and business model transformation for the post-merger integration of two major financial infrastructure firms; and supporting the rapid deployment of vaccination programs. Trusted for his expertise, Henninger is frequently sought out as a subject-matter expert and advisor by leading organizations working on policy, R&D initiatives, and educational programs related to the adoption and development of data-driven technologies. He holds an undergraduate degree in architecture from Princeton University.

Subhash Kari is Executive Vice President & Chief Innovation Officer at Infocepts, leading its Global Practices & Delivery organization. Infocepts is a data solutions firm that aims to improve business results through more effective use of data, AI and user-friendly analytics. Kari brings together experts from business, technology and management to provide thought leadership, create offerings, enable marketing and sales, develop and retain talent and enable strategic differentiation.

Kari publishes thought leadership articles to inspire innovation in data and analytics, focusing on top initiatives for business growth. Using a solution-as-a-service approach, he develops productized solutions to improve decision-making, AI adoption, employee data platforms and managed services.

Kari has 20 years of experience in mission-enabling applications, data and analytics solutions, technology consulting and large-scale managed services. He's generated over $375 million in revenues across various sectors and platforms. Previously, he held multiple positions at REI Systems, including Chief Technology Officer, contributing significantly to the company's growth. Kari has expertise in Open Source, Microsoft, AWS, Azure, Tableau, MicroStrategy, Appian and Salesforce platforms. He holds bachelor’s and master’s degrees in engineering from Michigan State University.

To learn more about Subhash's ebook on ‘Top 5 Data and AI Initiatives to Drive Business Growth’, click here.

Wim Verleyen is the Associate Director of Data & Analytics at Raytheon Technologies,the world's largest aerospace and defense company. With more than 180,000 global employees, they push the limits of technology and science to redefine how they connect and protect their world. The company, with 2022 sales of $67 billion, is headquartered in Arlington, Virginia. Verleyen joined Raytheon Technologies in 2020. As a technology leader with over 15 years of experience, Verleyen has a proven track record of advancing data capabilities for descriptive, diagnostic, and predictive services. In addition to his expertise in data science and machine learning, he also has significant experience working closely with technology leaders and business stakeholders, which has enabled Verleyen to define and execute AI/ML innovation that delivers tangible business value. Verleyen earned a PhD in machine learning for systems pathology from the University of St Andrews and a master’s in electrical and electronics engineering from the KU Leuven Faculty of Engineering Technology, De Nayer Campus.