Ai Day
Experiences

World Wide Technology Ai day Atlanta

Event Overview

World Wide Technology invites you to Ai day, an immersive experience focused on practical AI applications for today’s enterprises. Join us for a deep dive into AI use cases that are driving efficiencies, innovation and business value across industries and organizations. During this session, we will examine the foundations of AI success, including data quality, security and AI architecture. We will explore WWT’s AI Proving Ground — the first multi-OEM ecosystem of AI labs designed to accelerate the assessment and adoption of practical AI solutions. You will also have the opportunity to meet AI experts from WWT as well as our industry-leading AI partners. Gear up for an engaging day of learning, networking and innovation!

What to expect

Discussion Topics:
  • Accelerating AI Results: WWT's Practical Approach
  • AI Proving Ground: Everything AI in One Place with Demonstrations
  • Building AI Solutions: Data Readiness for AI, Lessons Learned Building WWT's AI Assistant, Achieving ROI with AI Customer Experiences
  • Securing AI: App Defense and API Security, Adversarial Tactics in the Age of Deepfakes and Beyond, Enabling Innovation Responsibly and Securely
  • Scaling AI Infrastructure: Why Legacy Infrastructure Falls Short, Your Data Center is Your AI Achilles Heel, Where to Run AI
  • Looking Forward: What's next? How to Get Started?

Goals and Objectives

Ai day Atlanta aims to expand your knowledge of AI through discussions, demonstrations, and the AI Proving Ground. 150 of WWT's customers will be brought together for a day to experience all things AI. The day will be comprised of hands-on experience in our AI Proving Ground/labs, AI education via talk tracks, keynotes, the PATH, a partner village, networking, thought leadership, lunch and ending with a happy hour.

Who should attend?

This event is open to all customers. - Data Strategy and Engineering professionals - Enterprise, Cloud, Security and Solutions Architects - AI Analysts, Product Managers, Researchers, Deep Learning and Machine Learning Engineers, and Software Architects - CTOs, VPs of Infrastructure & Operations, Innovation, and Digital Strategies

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