Artificial Intelligence World Live - A Virtual Conference

The Largest Premier Conference brings together business professionals for unparalleled insight into how the use of AI.

Agenda

Tuesday Wednesday Thursday

The daily session times are EDT: North America East Coast Eastern Time

Day 1 | Tuesday | 7th March 2023

Welcome | Artificial Intelligence World Live

Introduction | Artificial Intelligence World Live

Welcome and Opening Remarks

Welcome and introduction to Artificial Intelligence World Live, conducted by our esteemed chairperson, Jose Pires.

  • José Pires
    CEO, Global Excellence & Innovation

General Session | Bloomberg Intelligence

Bloomberg Intelligence | Artificial Intelligence World Live

Accelerate Digital Advantage for Business with AI

Artificial Intelligence (AI) is a buzz word surfacing for many years now, but its implementation and full potential still remains in early stages. The goal for every brand and company should be to use AI to interpret and analyze data (both quantitative and qualitative) to offer solutions within their eco-systems. Using AI to support human capabilities across e-commerce, lifestyle, gaming, chatbots, marketing and more will be areas of discussion. We hope to bring forward case studies on the use of AI across marketing, personalized shopping, content creation, voice assistants, robotics, fraud prevention and more.

  • Poonam Goyal
    Sector Head and Senior E-Commerce & Athleisure Analyst

Take a Break

Break Time | Artificial Intelligence World Live

Take a Break

See you back in 15 minutes energized and ready to go.  The login details are the same for all sessions

General Session | Nestle

Nestle | Artificial Intelligence World Live

How AI and advanced analytics are re-shaping R&D. Nestle's case
The presentation will provide an in-depth look at AI’s potential to transform multinational corporations in Nestle's case. We will focus on how AI/ML is driving progress toward the corporate’s key strategic objectives and unlocking massive opportunities across all areas of manufacturing, procurement and administration. 

  • Overview of main AI/ML use cases in CPG impacting revenue, costs and risks
  • How the product development lifecycle works today
  • How it will work in the future with AI/ML, from suggesting new product concepts to improving effectiveness of product trials to detecting early-warning signals for food safety

  • Carolina Pinart
    Group Head of R&D Information Technology

Take a Break

Break Time | Artificial Intelligence World Live

Take a Break

See you back in 15 minutes energized and ready to go.  The login details are the same for all sessions

General Session | Red Cross

Red Cross | Artificial Intelligence World Live

Responsible AI for Sustainability: The strategies and frameworks for developing ethical AI towards social impact (ESG, UN SDGs)

AI has been identified as a key enabler of sustainability, and it is important to focus on AI ethics and governance for social impact. 

  • Towards Responsible AI: Issues and Challenges.
  • Ethical AI & Governance - Successful AI Implementation.
  • Data governance: Protecting privacy in an AI-driven world. 
  • Going through ethical AI and governance practices: success stories and lessons learned.

  • Dr. Mahendra Samarawickrama
    Director, The Centre for Sustainable AI

Take a Break

Break Time | Artificial Intelligence World Live

Take a Break

See you back in 15 minutes energized and ready to go.  The login details are the same for all sessions

General Session | Boeing

General Session | Boeing | Artificial Intelligence World Live

Robust AI Systems

Practical decision systems require much more than end-to-end learned models. This talk will focus on research and engineering questions on machine learning robustness that executives should be aware of.

  • Usable/practical decision systems (especially for high-stakes decisions) have to be both
  1. Accurate
  2. Robust
  • The major practical challenge in designing and implementing robust decision systems: it is easy to describe the desired correct behavior, but specifying correctly all consequences for failing to meet the terms of the contract, are extremely hard to specify.
  • Practical decision systems are required to decide and act in the face of unknowns
  • To do that, ALL learned models are required to output not only a prediction/estimate, but also a self-competence estimate
  • Other methods for achieving robustness: multifaceted understanding, and causal models.

  • Dragos Margineantu
    Artificial Intelligence Chief Technologist

Recap | by Chairperson

Closing Remarks | Artificial Intelligence World Live

Recap | Closing Remarks

A recap of the day sessions and closing remarks.

  • José Pires
    CEO, Global Excellence & Innovation

Day 2 | Wednesday | 8th March 2023

Day 3 | Thursday | 9th March 2023

Additional information