Enterprise AI Innovation Summit
Why You Should Attend
- Learn how enterprises drive measurable results from AI
- Understand the governance behind successful AI initiatives
- Explore real-world examples across key industries
Who This Summit Brings Together
Enterprise AI and Technology Leaders
Heads of AI, Data, and Enterprise Architecture
Digital Transformation Leaders
The Enterprise AI Innovation Summit focuses on the structural and strategic foundations required to make AI deliver at scale.
As a virtual experience, it explores the frameworks, infrastructure, and strategic alignment required to make AI sustainable, scalable, and performance-driven.
Through applied case discussions, it demonstrates how intelligent systems are reshaping performance, efficiency, and growth across sectors.
Meet Summit Speakers
Virtual Summit Schedule
- AI Tools for Clinicians: Key Challenges & Opportunities.
- AI Tools for BioPharma: Acceleration Expectations for Drug Discovery.
- AI for Patient Health: Powerful Insights with Risks & Limitations.
- Ambient Listening Solutions in Patient Care settings.
- Conversational AI in Patient interactions.
Ram is an accomplished healthcare technology strategist, innovator & people leader with three decades of successful experience across the healthcare spectrum. He is passionate about leveraging technology to improve patient care & to deliver business success through cutting-edge technologies including AI, ML & Gen AI.
He is a recognized industry leader & frequent keynote speaker at healthcare industry conferences focusing on applications of AI to improve patient care; he is a prolific inventor and has multiple healthcare technology & AI models to his name.
- Moving beyond pilots: why most AI initiatives stall at experimentation and how leaders unlock sustained business value.
- Designing an enterprise AI operating model (governance, funding, talent, and accountability) that scales across business units.
- Embedding GenAI into real workflows: productivity, decision augmentation, and risk management in regulated environments.
- Measuring impact executives actually care about: value realization, adoption, and control maturity.
- Practical lessons from scaling AI in large financial services organizations, including what I would do differently.
Zeinab Alliji is a senior AI and technology transformation leader with deep experience building and scaling enterprise AI capabilities in large, regulated organizations.
She has led GenAI and advanced analytics programs across financial services, partnering closely with C-suite and business leaders to move AI from experimentation into production at scale. Her work spans AI strategy, operating model design, governance, and delivery of high-impact use cases across banking, risk, and operations.
- As AI becomes a commodity, the true differentiator for organizations isn’t access to a model, it’s the ability to apply AI responsibly in contexts where outcomes have lasting impact.
- This session explores a framework for building AI‑enhanced products for learning and skill measurement that prioritize validity, explainability, and human oversight.
- It highlights the design patterns and decision models that ensure AI systems are not only powerful but defensible, a critical requirement when they influence learning pathways, hiring, or credentialing.
Tanner Jackson is the Head of AI Products at ETS, overseeing the development and deployment of AI capabilities across the global enterprise. His work spans two core areas: integrating AI into product and platform development, and building scalable AI solutions that deliver measurable business and/or educational impact. Tanner leads end-to-end strategy, execution, and coordination across divisions and manages a cross-functional team including product and AI-focused roles, with emphasis on measurement, innovation, customer value, and global scalability.
With over a decade of experience at ETS—including roles in the Research Institute, Language Learning and Assessment Business, and the Office of the CEO—Tanner’s work has consistently focused on helping people achieve their potential. A respected voice on AI, Tanner is a sought-after speaker at top industry forums, including the SHRM Talent Annual Conference, Zoom Educator Summit, and ASU+GSV and has been featured in The Chronicle of Higher Education and Education Week as a subject matter expert.
He holds a PhD in cognitive science from the University of Memphis and specializes in business strategy, with expertise in designing interactive and adaptive environments powered by game mechanics, natural language processing, and conversational AI.
- Why most AI initiatives stall between pilot and production.
- The architectural implications of single-agent vs multi-agent systems.
- Why governance is not a compliance add-on but a design requirement.
- How to select AI use cases that scale without introducing systemic risk.
- The emerging 2026 reality of autonomous systems operating within enterprise controlsa.
Alina is a leader in AI, data science, and data engineering, with a strong track record of delivering value with data. She has 20+ years of experience leading teams of data scientists and data engineers, building AI-driven solutions, and implementing AI/ML strategies that drive business impact.
She has successfully stood up analytics functions and AI products across industries, including finance, retail, loyalty, marketing, CPG, healthcare, banking, insurance, fraud modeling, and energy. Her expertise spans AI strategy, machine learning, and generative AI, delivering LLM-based applications and AI-powered insights to executive decision-makers.
- Why AI pilots succeed but fail to scale.
- How to define clear ROI before scaling.
- The operating model required to embed AI across functions.
- A practical “Program Readiness Checklist” to use immediately.
Amrutha Suresh is a technology leader and AI practitioner with over 17 years of experience operationalizing GTM strategy and advising C-suite executives on value creation through technology transformation. She currently is the Head of Enterprise & GTM AI Asana, where she designs and scales AI-powered operating models that redefine how revenue is generated driving measurable impact across pipeline growth, win rates, and customer retention.
A recognized voice in AI GTM innovation, Amrutha has spoken at national and international forums, moderated executive panels, and authored thought leadership on AI & technology innovation. She holds a Masters degree in Computer Engineering and is a graduate of the MBA program at UC Berkeley’s Haas School of Business, serves as a GTM advisor to startups in several VC firms and a mentor within Berkeley’s incubation ecosystem.
- Is AI actually maturing?
- The good, the bad, and the “who approved this?”
- Not every problem needs a neural network.
Murat Ozturan is a CTO and global technology strategist who turns complex ideas into scalable, revenue-producing platforms.
He’s led architects across 20+ countries, advised startups from zero to launch, and helped enterprises use cloud and AI beyond mere buzzwords. A multiple myeloma survivor, relentless futurist, and unapologetic realist, he blends boardroom clarity with engineering depth. Expect sharp insight, practical frameworks, and at least one myth about “digital transformation” dismantled on stage.
- AI is the Engine and data is the fuel – need high quality data to power it (i.e., garbage in, garbage out).
- Why Data matters – it helps with learning patterns – recognize trends, gain knowledge and make predictions; without data, you have no intelligence – how else will it learn, adapt and make decisions.
- Quality data over quantity of data.
- Building the Data-AI pipeline – how to get your data AI ready.
- Challenges/Ethical considerations – silos, bias, privacy, etc.
Rana Dalbah is the Senior Director of Artificial Intelligence & Data Governance at BAE Systems, Inc.
With over 20 years of experience in driving data-driven decisions through analytics, Rana now concentrates on harnessing the power of AI, particularly generative AI, to transform business operations. Her expertise lies in crafting tailored solutions to support mission critical problems, currently exploring the intersection of data governance, AI, and employee experience, with a focus on leveraging AI to streamline tasks and enhance daily workflows.
- Why traditional “chat-first” AI strategies fail to drive meaningful outcomes
- How multimodal AI (voice, visual, telemetry) changes problem resolution dynamics
- The gap between AI decisioning (“brains”) and execution systems (“hands”)
- The role of trust, observability, and human-in-the-loop systems in scaling AI safely
Ankit Talwar is Director of Product Management for AI at Dell Technologies and a Distinguished Fellow of the Soft Computing Research Society (SCRS).
He led the product strategy for the digital supply chain transformation documented by researchers at the Massachusetts Institute of Technology (MIT Digital Supply Chain case study, “Dell: Roadmap of a Digital Supply Chain Transformation”, Case No. W24797) and directed the STRIDE service AI ecosystem recognized with the TSIA STAR Award (AI Innovation, 2025). His Experience-Led AI Framework synthesizes principles from these programs across eight years (2017–2025) and has been presented across multiple industry forums and executive gatherings focused on enterprise AI and customer experience transformation. Mr. Talwar also serves as a judge for MIT HackNation, Antler, Founders Institute, and Afore VC, and has authored articles for Smart Customer Service, CCW Digital, and AI Journal.
Our Partners
How do I join the summit?
After registering, you’ll receive a confirmation email from ClickMeeting with your personal access link. Click the link a few minutes before the session begins — no additional software or downloads are required.
Is there a cost to attend?
No. The summit is free. Attendance is limited to 100 qualified leaders to ensure a focused, high-value discussion.
Will the session be recorded?
Yes. All registered participants will receive access to the recording after the event.
Can I invite a colleague?
Yes. You may share the registration link with colleagues who fit the intended audience. Participation is subject to availability.