Inaugural Edition: A Virtual Event

October 16th, 2025 (Thursday)

 Vision to Value AI Infra Summit

  Brought to you by Emerj AI Research

Getting “AI Ready” with Help from Industry Leaders. Learn how to turn AI into ROI by mastering the hardware, security, and data management of your AI infrastructure. Learn directly from leading enterprise AI, infrastructure, and innovation leaders at Emerj’s inaugural Vision to Value AI Infra Summit.

Join us and shortcut the path from AI capabilities to business value

For over 6 years Emerj has connected with enterprise AI and infrastructure leaders through our publishing and popular AI in Business Podcast with over 6,000,000 lifetime downloads.
This year, as AI begins to define the business landscape across industries – Emerj is bringing together the brightest minds from the Emerj rolodex, and the sharpest AI and infrastructure leaders to share their best-practices for turning AI capabilities and infra into real business value.

Agenda

The Vision to Value AI Infra Summit brings together enterprise leaders to share strategies for building, securing, and scaling AI infrastructure. The agenda is organized into focused panels pulling apart challenges and solutions in hardware, security, compliance, data strategy, deployment, and scaling for enterprise AI adoptions. Speakers include Google, NVIDIA, IBM, Blue Cross Blue Shield, and Takeda executives.

10:00AM - 11:00AM EST

Data Management and Storage

  • Harmonizing Enterprise Data Assets: Unlocking ROI by integrating disparate data systems for better decision-making across marketing, finance, and operations.
  • Scalable Solutions: Address unstructured data challenges with flexible, API-driven storage systems that support advanced analytics and AI workflows.
  • Tiered Storage Strategies for Cost Optimization: Harmonize data storage solutions with business needs by leveraging archival systems for less frequently accessed data and high-performance storage for mission-critical tasks.

11:10AM - 12:10PM EST

Deployment and Adoption Strategies

  • Custom AI Model Development for Enterprise Success: Discover strategies to modernize data platforms, design high-ROI AI models, and choose the most effective tools for customizing and deploying tailored AI solutions.
  • Ensuring End-User Buy-In: Strategies for driving adoption of AI applications by making them accessible and aligned with user needs.
  • Low-Code Deployment Solutions: Simplifying implementation to empower business users and reduce dependency on specialized developers.

12:20PM - 1:20PM EST

AI Hardware for Purpose-Built Solutions and Decision-Making

  • Measuring the ROI of On-Premises vs. Cloud Computing: Crucial considerations for balancing cost, flexibility, and performance when choosing between on-premises and cloud-based infrastructure.
  • Purpose-Built AI Hardware for Specific Workloads: Avoiding scaling failures as enterprises navigate using GPUs vs. CPUs and edge-optimized hardware for inference, training, and hybrid cloud environments.
  • The Road to Quantum: Accelerating AI model training and inference beyond classical limitations solves previously intractable problems. AI models can leverage quantum insights for materials science, pharma, and climate solutions.
  • Sustainability in AI Infrastructure: Energy-efficient hardware and cost-saving designs for reducing environmental impact and long-term operational costs

Speakers and Panelists

Panelists & Speakers Bios

Ranjan Sinha

IBM Fellow, Vice President and Chief Technology Officer for watsonx, IBM Research AI.

Leo Barella

CTO of Takeda

Jiaxi Zhu

Head of Analytics & Insights at Google

Ian Wilson

Former Head of AI, HSB

David Carmona

General Manager of AI, Microsoft

Pallab Deb

Managing Director - SI & Industry GTM Partnerships

Ylan Kazi

Chief Data & AI Officer

Rob Wenier

Global Head of Cloud and Infrastructure

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Thank you to our Partners, Panelists, and Contributors from the Following Organizations

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About our speakers

Learn more about our keynote speakers and panel discussion speakers.

Ranjan Sinha – IBM Fellow, Vice President, and Chief Technology Officer, watsonx, IBM Research AI.
This keynote will provide a deep dive into agentic AI systems, scalable enterprise AI frameworks, and the future of AI hardware.
Ranjan will discuss how enterprises can move beyond ad hoc AI projects by developing intelligent, scalable infrastructures that streamline generative AI workflows and enhance operational efficiency. He’ll highlight the critical role of intelligent storage, robust feedback loops between research and production, and the importance of governance in AI readiness.
Additionally, he’ll share insights on cutting-edge advancements in AI hardware, including neuromorphic chips, quantum computing, and next-generation processor architectures, offering a roadmap for enterprises looking to stay ahead in an era of accelerated AI innovation.

Connect to Ranjan Sinha

Leo Barella CTO of Takeda.
This keynote will provide a deep dive into agentic AI systems, scalable enterprise AI frameworks, and the future of AI hardware.
Ranjan will discuss how enterprises can move beyond ad hoc AI projects by developing intelligent, scalable infrastructures that streamline generative AI workflows and enhance operational efficiency. He’ll highlight the critical role of intelligent storage, robust feedback loops between research and production, and the importance of governance in AI readiness.
Additionally, he’ll share insights on cutting-edge advancements in AI hardware, including neuromorphic chips, quantum computing, and next-generation processor architectures, offering a roadmap for enterprises looking to stay ahead in an era of accelerated AI innovation.

Connect to Leo Barella

Jiaxi Zhu Head of Analytics & Insights at Google
This keynote will provide a deep dive into agentic AI systems, scalable enterprise AI frameworks, and the future of AI hardware.
Ranjan will discuss how enterprises can move beyond ad hoc AI projects by developing intelligent, scalable infrastructures that streamline generative AI workflows and enhance operational efficiency. He’ll highlight the critical role of intelligent storage, robust feedback loops between research and production, and the importance of governance in AI readiness.
Additionally, he’ll share insights on cutting-edge advancements in AI hardware, including neuromorphic chips, quantum computing, and next-generation processor architectures, offering a roadmap for enterprises looking to stay ahead in an era of accelerated AI innovation.

Connect to Jiaxi Zhu

Event Details

Host

Emerj AI Research

Date

October 16, 2025 (Thursday)

Time

9am - 5:00pm EST

Location

Virtual event

Registration is free to attend the inaugural Next AI Infra Summit. Simply click here to register.
If you’d like to apply to be a panelist or speaker, submit your participant request here.
For more information about sponsoring the Next AI Infra Summit, submit your sponsorship request here.

This event is designed for AI, Infrastructure, and IT enterprise leadership. Panelists, speakers and attendees will be joining us from large
Enterprise AI / infra leaders: This event was created specifically for you, with speakers and topics designed to help you learn best practices of building an enterprise AI “capability layer” at scale – from leaders just like you at the world’s largest organizations.
Enterprise IT leaders: If you’re involved in strategy around AI, data governance/platforms, or compute hardware within the enterprise, you’ll benefit greatly from this event.

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