Day 1 - 17 May 2023
09:45 AM
(PDT)
Cheryl Goodman
Founder/ Contributor
FindGood.tech/ Forbes Technology Council

10:00AM - Day 2
View Transformational AI: Chairpersons Welcome

09:45 AM - Day 1
View Applied Digital, Data & AI: Chairpersons Welcome
Applied Digital, Data & AI: Chairpersons Welcome
Chairpersons welcome and opening remarks.
10:00AM
(PDT)
Christine Park
Head of Design, MedTech XD
Johnson & Johnson

11:50AM - Day 2
View Panel: The Future of AI Enabled Experiences

10:00AM - Day 1
View Presentation: The Intersection of Design & AI
Presentation: The Intersection of Design & AI
- The kinds of experiences that harness the power of AI: conversational, multimodal, and XR.
- The senses: understanding why people need experiences that use AI.
- The key capabilities that can be unlocked by AI-driven user interfaces.
- The new opportunities: what are the key products where AI-driven experiences are valuable.
10:30AM
(PDT)
Sumit Pal
Consultant, Ex-Gartner VP Analyst in Data Management & Analytics
Sumit Pal – 1099

10:30AM - Day 1
View Keynote Presentation: Why DataOps matters in Data Engineering
Keynote Presentation: Why DataOps matters in Data Engineering
Companies around the world are spending billions to harness the power of this data to make better and faster business decisions. However, many modern data initiatives are not able to produce the intended value as companies are struggling to operationalize modern data initiatives.. In fact, some analysts estimate that only 15% of modern data initiatives will make it to production! Join this session to learn why DataOps is becoming an important practice in data engineering to not only get data projects into production faster but also run them at scale.
11:00AM
(PDT)
Manish Mehta
Chief AI Strategist
AI Enterprise Vision

11:00AM - Day 1
View Presentation: ChatGPT beat stone-age AI – Don’t let it beat you
Presentation: ChatGPT beat stone-age AI – Don’t let it beat you
ChatGPT’s triumph over stone-age AI, a tale yet untold,
Boldly snatching the limelight, its brilliance unfold.
BringingAI within everyday’s reach, its power to unfold,
LLM and ChatGPT, energy problems we must behold.
Boundless potential, challenges laid bare,
Enterprises embracing, future’s suspense in the air.
Untapped use-cases, waiting to befound, verified, shared,
New trials await, AI’s potential dared.
Unlock LLM use-cases, find your way,
Embrace the impact, seize the day.
11:30AM
Networking Break
11:40AM
(PDT)
Jesse DeMesa
Principal Partner
Momenta
Konrad Konarski
Chairperson
AI Innovation Consortium

11:40AM - Day 1
View Panel: Building an Augmented Workforce

10:00AM - Day 2
View Optimized Data & Analytics: Chairpersons Welcome
Jay Migliaccio
Technical Product Manager - IBM Watson Orchestrate Software
IBM

11:40AM - Day 1
View Panel: Building an Augmented Workforce
Jody Medich
The Al and Shared Prosperity Initiative Steering Committee Member/ CEO, Co-founder
Partnership on AI/ Superhuman-X

11:40AM - Day 1
View Panel: Building an Augmented Workforce
Deepak Singh
Product Manager
Teladoc Health

03:30PM - Day 1
View Panel: Talking Digitally with NLP

11:40AM - Day 1
View Panel: Building an Augmented Workforce
Panel: Building an Augmented Workforce
- The rapid rollout of the augmented workforce due to labour shortages – what does this currently look like across enterprises?
- Aiding employees’ skills and capabilities with AI, ML and intelligent automation to help build a digitally enabled and efficient workforce.
- Discussing the idea that an augmented workforce can boost employee satisfaction due to automation of repetitive tasks and more time for innovation.
- It takes two – tackling the idea that humans are being replaced by technologies.
12:20PM
(PDT)
Salman Avestimehr
CEO & Co-founder
FedML

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View FedML

12:20PM - Day 1
View Presentation: Customizing Large AI Models on Private, Sensitive, and Siloed Enterprise Data
Presentation: Customizing Large AI Models on Private, Sensitive, and Siloed Enterprise Data
- The challenges of customizing large foundational models (e.g., ChatGPT) for an enterprise.
- How to train ML modes on enterprise data that is private, sensitive, and siloed?
- How to leverage collaborative AI to reduce the costs of AI development and deployment?
- An overview of FedML AI ecosystem to empower large-scale collaborations for customization of AI models.
12:40PM
(PDT)
Asaf Cohen
Co-founder & CRO
Datorios

12:40PM - Day 1
View Presentation: Digital Transformation Starts with Good Data Architecture

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View Datorios
Presentation: Digital Transformation Starts with Good Data Architecture
- Your EtLT Strategy – When best to apply ETL, and when to apply ELT.
- Building your toolset to serve your business needs.
- How to define what’s important when you build your data architecture.
01:00PM
(PDT)
Eric Weber
Senior Director of Data Science, Data Engineering & Platform
StitchFix

01:00PM - Day 1
View Presentation: The Art and Science of Style – How Stitch Blends Advanced Data Science and Human Expertise to Deliver Personalized Styling at Scale
Presentation: The Art and Science of Style – How Stitch Blends Advanced Data Science and Human Expertise to Deliver Personalized Styling at Scale
Stitch Fix is a client-centric styling service that makes personalized styling accessible to everyone. Combining the human touch of expert stylists with the precision of advanced AI models allows Stitch Fix to interpret its billions of unique data points on style and fit and provide 3.6M clients with highly personalized recommendations at scale. This talk will cover how this art and science approach to styling has set Stitch Fix apart from traditional retailers.
Live streamed presentation
01:30PM
Networking Break & Lunch
02:10PM
(PDT)
Simba Khadder
Founder & CEO
Featureform

02:10PM - Day 1
View Presentation: Feature Stores in a post-GPT World
Presentation: Feature Stores in a post-GPT World
In this talk, we will delve into the significance of feature stores in the era of machine learning that we are entering. Complex features such as embeddings begin to replace certain traditional features. Vector databases are added to the mix. Drawing on my experience working on recommender systems that employed deep learning models that used both traditional features and embeddings, I will showcase how these two worlds combine and where feature stores fit in. By the end of the talk, attendees will gain insights into the importance of feature stores in modern machine learning workflows and how they can be effectively used in a Post-GPT world.
02:30PM
(PDT)
Bauyrzhan Saryyev
Deputy Director of Innovation Technologies
AGSA

-
View AGSA

02:30PM - Day 1
View Presentation: Development and Implementation of Virtual Reality
Presentation: Development and Implementation of Virtual Reality
- How we came to virtual reality.
- The adaptation period and the introduction of virtual reality simulators in our own training center.
- Development of software for simulators.
- Prospects for the development of VR.
02:40PM
Networking Break
03:10PM
(PDT)
Piero Molino
Cofounder and CEO/ Creator of open-source
Predibase/ Ludwig.ai

03:10PM - Day 1
View Presentation: Accelerating AI Development with Large Language Models and Declarative Machine Learning
Presentation: Accelerating AI Development with Large Language Models and Declarative Machine Learning
Building ML solutions from scratch is hard, requires expert knowledge and lots of low-level code. New declarative ML platforms — pioneered at Uber, Apple and Meta— enable engineers and data scientists to easily build ML-powered applications in just a few lines of code with a simple configuration file.
In this talk, Piero Molino, creator of open-source Ludwig and founder of Predibase, will share how you can use declarative ML frameworks to rapidly build and deploy end-to-end ML pipelines in minutes. He’ll also share how declarative ML can be used to build your own GPT-like application with privately hosted and customized LLMs.
03:30PM
(PDT)
Duncan MacRae
Editor in Chief
TechForge Media
Prasanth Nandanuru
Distinguished Engineer, SVP
Wells Fargo

03:30PM - Day 1
View Panel: Talking Digitally with NLP
Amir Emadzadeh
Director of Data Science Software
Genentech

03:30PM - Day 1
View Panel: Talking Digitally with NLP
Deepak Singh
Product Manager
Teladoc Health

03:30PM - Day 1
View Panel: Talking Digitally with NLP

11:40AM - Day 1
View Panel: Building an Augmented Workforce
Abhinav Kohar
Head of Data Science - Americas
Schlumberger

03:30PM - Day 1
View Panel: Talking Digitally with NLP

10:00AM - Day 1
View Presentation: Advances in Edge AI – A case study
Panel: Talking Digitally with NLP
- The current work within the NLP (Natural Language Processing) landscape – examples of real-life use-cases.
- What industries could benefit from utilising NLP capabilities?
- The next steps and progressions that are needed to break barriers.
04:10PM
(PDT)
Mohamed Elgendy
Co-Founder & CEO
Kolena

04:10PM - Day 1
View Presentation: Standardize & Automate Model Testing
Presentation: Standardize & Automate Model Testing
- High granularity scenario-level testing.
- Automated regression testing.
- Systematic model validation.
- Best practices for systematic model testing.
04:20PM
(PDT)
Sudip Roy
Engineering Manager, Inference and Serving
Cohere

04:20PM - Day 1
View Presentation: How to Use Natural Language Processing to Power Everyday Apps and Experiences
Presentation: How to Use Natural Language Processing to Power Everyday Apps and Experiences
Worldwide organizations are making NLP at the heart of their data science team’s work for various areas of the business. Dedicating time and investment to NLP is catapulting some to far better returns as they see real, actionable insights, improve customer satisfaction, and streamline processes to reduce costs. The scope of NLPs is on the brink and only set to grow as this area of technology grows.
04:40PM
(PDT)
Patrick Marlow
Conversational AI Engineer, Cloud AI and Industry Solutions (CAIIS) Black Belt Team

04:40PM - Day 1
View Presentation: Practical Business Applications of LLMs

02:40PM - Day 1
View Panel: Converging Technologies – We Work Better Together
Presentation: Practical Business Applications of LLMs
Large language models (LLMs) have recently landed in the public spotlight for their ability to generate text that is indistinguishable from human-written text. In this talk, I will show how LLMs can be used to generate text for a variety of practical business applications, including generating creative content, translating languages, and answering questions in an informative way. I will also discuss some of the limitations of LLMs and how they can be improved in the future.
05:10PM
(PDT)
End of Day
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