UPCOMING EVENTS

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Overview

AI holds huge promise for the industry as a whole.  The key is determining the right strategy for your organization that you can build and execute on.

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What You Will Learn

In this one day conference attendees will learn the following:

• Modern Data Architectures for the AI-Enabled Enterprise
• Scaling AI with Cloud-Native Data Platforms
• Operationalizing AI: From Models to Production at Scale
• Architecting for Real-Time AI and Streaming Analytics
• Data Governance in the Age of AI: Guardrails Without Roadblocks
• Enterprise Perspectives: Building AI-Ready Data Architectures (Panel Discussion)

 

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CONFERENCE AGENDA

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8:00am – 9:00am: Registration and Continental Breakfast

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9:00am – 10:00am: From Data to Decisions: Enabling AI That Delivers Real Business Value

Many organizations have data and AI tools but struggle to turn them into outcomes. This session helps attendees understand how to align data strategy with AI initiatives so insights lead to better, faster decisions across the business.

You will learn:

• How to align data and AI efforts with business priorities
• Why many AI initiatives stall before delivering value
• How to shift from data collection to decision enablement

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10:00am – 10:30am: Sponsor & Refreshment Break

 

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10:30am – 11:30am: Designing Data Architectures That Support AI at Scale

Not all modern data architectures are built for AI. This session explores the architectural approaches that enable analytics, machine learning, and generative AI without creating complexity or bottlenecks.

You will learn:

• Which data architecture patterns best support AI use cases
• When real-time vs. batch data matters for AI
• How to design for scalability, performance, and flexibility

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11:30am – 12:30pm: From Assistants to Agents: Architecting the Autonomous Enterprise 

Aaron McAllister, Field CTO, Cloudflare

By 2026, the novelty of Generative AI “chat” has faded, replaced by the necessity of “Agentic Workflows”: AI systems that don’t just talk, but act. For architects and executives, this shift requires moving beyond simple RAG (Retrieval-Augmented Generation) to complex multi-agent orchestration. This session moves past the hype to discuss the structural changes required to give AI “agency” within legacy systems. We will explore how to design “hand-off” protocols between human and machine, the technical requirements for autonomous reasoning, and the managerial shift from overseeing “tasks” to overseeing “outcomes.”

You will learn:

• The Taxonomy of Agents: Understanding the difference between a tool-using LLM and an autonomous agent.
• Trust Architecture: How to build “kill switches” and validation layers for agents interacting with live production data.
• The Managerial Pivot: Tactics for redefining KPIs when the “worker” is a semi-autonomous digital entity.

McAllister

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12:30pm – 1:30pm: Lunch and Exhibit Break

 

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1:30pm – 2:30pm: Governing Data and AI Without Slowing Innovation

Trust in data and AI is critical — but excessive controls can slow progress. This session shows how organizations balance governance, compliance, and ethical considerations while still enabling innovation.

You will learn:

• How data quality and lineage impact AI outcomes
• Practical approaches to responsible and ethical AI
• Governance models that support speed and accountability

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2:30pm – 3:00pm: Refreshment Break

 

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3:00pm – 4:00pm: Building an AI-Ready Organization**

Technology alone does not drive AI success. This session focuses on the people, processes, and operating models required to sustain AI-driven innovation across the enterprise.

You will learn:

• How teams and roles evolve as AI adoption grows
• Ways to improve collaboration between IT, data, and the business
• How to support experimentation while enabling scale

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4:00pm – 5:00pm: AI & Data Leadership Panel: Turning Strategy Into Sustainable Innovation

This interactive panel brings together experienced data and AI leaders to discuss what works — and what doesn’t — when implementing AI at scale in the enterprise.

You will learn:

• How leaders prioritize AI initiatives with real impact
• Common pitfalls organizations encounter on their AI journey
• Lessons learned from successful enterprise programs
• Audience Q&A

Panelists Include:

• Nagesh Perumalla, Analytics Platforms Engineering, Discover Financial Services (Capital One)

        Perumalla

 

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Conference Price: $349.00 per person

Each attendee will receive a certificate awarding 7 CPE credits for CISSP continuing education, in addition to 0.7 CEUs and 7 PDUs. CISSP is a registered certification mark of (ISC)², Inc.

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Exhibits

                                          

As is always the case at CAMP IT Conferences events, the talks will not include product presentations. During the continental breakfast, coffee breaks, and the luncheon break you will have the opportunity to informally meet representatives from the following sponsoring companies, who have solutions in the area of the conference.