Experiences

AI Lunch and Learn: What's Next? (Session 2)

Event Overview

Please join World Wide Technology for session two of an exclusive AI Lunch and Learn series - hosted at WWT's Hawaii office. Date: Thursday, July 25, 2024 Time: 12:30 - 2:30 PM Location: Harbor Court (55 Merchant Street, Suite 2810 | Honolulu, HI 96813) Parking: Harbor Court parking validation provided So your organization has decided to "use AI", but what are the next steps to get started? Learn from our AI & Intelligent Automation (IA) Practice Lead, who will guide you through the process and discuss WWT’s lessons learned. He will also highlight the security and governance considerations that will enable your institution to focus more on what’s important: your customers, students, staff!

Featured Speaker

Sachin Koshy

World Wide Technology

AI & Automation Practice Lead

Sachin has been inspiring cross-functional teams for over 25 years. He uses his experience as an educator, soldier, speaker, and Six Sigma practiti...

What to expect

Our monthly lunch and learn sessions on Artificial Intelligence (AI) are designed for professionals across various industries. These in-person events feature expert-led discussions with insights from WWT's AI specialists on a range of AI topics.
  • Gain insights into real-world AI integration challenges and WWT's industry experience.
  • Learn best practices for building secure AI systems.
  • Leave with strategies for an AI program to empower your organization's future.
  • Engage in interactive Q&A sessions to ask questions, share experiences, and spark thought-provoking discussions.
  • Explore diverse use cases and architectures showcasing how AI is transforming industries, and learn practical methodologies for adopting AI within your organization.

Goals and Objectives

The purpose of this event is to create a Hawaii AI community of practice that can advance the state of safe, secure and useful AI across our various industries.

Who should attend?

CIOs, CTOs, CISOs, Architects, Engineers, Business Data Managers, Data Analysts and Data Scientists.

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