Day 1 - 17 May 2023

09:45 AM

(PDT)

Cheryl Goodman

Founder/ Contributor

FindGood.tech/ Forbes Technology Council

Associated Talks:

10:00AM - Day 2

View Transformational AI: Chairpersons Welcome

09:45 AM - Day 1

View Applied Digital, Data & AI: Chairpersons Welcome

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Applied Digital, Data & AI: Chairpersons Welcome

Chairpersons welcome and opening remarks.

. Cheryl Goodman, Founder/ Contributor, FindGood.tech/ Forbes Technology Council

10:00AM

(PDT)

Christine Park

Head of Design, MedTech XD

Johnson & Johnson

Associated Talks:

11:50AM - Day 2

View Panel: The Future of AI Enabled Experiences

10:00AM - Day 1

View Presentation: The Intersection of Design & AI

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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.
. Christine Park, Head of Design, MedTech XD, Johnson & Johnson

10:30AM

(PDT)

Sumit Pal

Consultant, Ex-Gartner VP Analyst in Data Management & Analytics

Sumit Pal – 1099

Associated Talks:

10:30AM - Day 1

View Keynote Presentation: Why DataOps matters in Data Engineering

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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.

. Sumit Pal, Consultant, Ex-Gartner VP Analyst in Data Management & Analytics, Sumit Pal – 1099

11:00AM

(PDT)

Manish Mehta

Chief AI Strategist

AI Enterprise Vision

Associated Talks:

11:00AM - Day 1

View Presentation: ChatGPT beat stone-age AI – Don’t let it beat you 

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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.

. Manish Mehta, Chief AI Strategist, AI Enterprise Vision

11:30AM

Networking Break

11:40AM

(PDT)

Jesse DeMesa

Principal Partner

Momenta

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Deepak Singh

Product Manager

Teladoc Health

Associated Talks:

03:30PM - Day 1

View Panel: Talking Digitally with NLP

11:40AM - Day 1

View Panel: Building an Augmented Workforce

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Jody Medich

The Al and Shared Prosperity Initiative Steering Committee Member/ CEO, Co-founder

Partnership on AI/ Superhuman-X

Associated Talks:

11:40AM - Day 1

View Panel: Building an Augmented Workforce

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Jay Migliaccio

Technical Product Manager - IBM Watson Orchestrate Software

IBM

Associated Talks:

11:40AM - Day 1

View Panel: Building an Augmented Workforce

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Konrad Konarski

Chairperson

AI Innovation Consortium

Associated Talks:

11:40AM - Day 1

View Panel: Building an Augmented Workforce

10:00AM - Day 2

View Optimized Data & Analytics: Chairpersons Welcome

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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.  
Moderator: . Jesse DeMesa, Principal Partner, Momenta
. Deepak Singh, Product Manager, Teladoc Health
. Jody Medich, The Al and Shared Prosperity Initiative Steering Committee Member/ CEO, Co-founder, Partnership on AI/ Superhuman-X
. Jay Migliaccio, Technical Product Manager - IBM Watson Orchestrate Software, IBM
. Konrad Konarski, Chairperson, AI Innovation Consortium

12:20PM

(PDT)

Salman Avestimehr

CEO & Co-founder

FedML

Associated Talks:

-

View FedML

12:20PM - Day 1

View Presentation: Customizing Large AI Models on Private, Sensitive, and Siloed Enterprise Data

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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.
. Salman Avestimehr, CEO & Co-founder, FedML

12:40PM

(PDT)

Asaf Cohen

Co-founder & CRO

Datorios

Associated Talks:

12:40PM - Day 1

View Presentation: Digital Transformation Starts with Good Data Architecture

-

View Datorios

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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. 
. Asaf Cohen, Co-founder & CRO, Datorios

01:00PM

(PDT)

Eric Weber

Senior Director of Data Science, Data Engineering & Platform

StitchFix

Associated Talks:

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

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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 

. Eric Weber, Senior Director of Data Science, Data Engineering & Platform, StitchFix

01:30PM

Networking Break & Lunch

02:10PM

(PDT)

Simba Khadder

Founder & CEO

Featureform

Associated Talks:

02:10PM - Day 1

View Presentation: Feature Stores in a post-GPT World

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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.  

. Simba Khadder, Founder & CEO, Featureform

02:30PM

(PDT)

Bauyrzhan Saryyev

Deputy Director of Innovation Technologies

AGSA

Associated Talks:

-

View AGSA

02:30PM - Day 1

View Presentation: Development and Implementation of Virtual Reality

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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.
. Bauyrzhan Saryyev, Deputy Director of Innovation Technologies, AGSA

02:40PM

Networking Break

03:10PM

(PDT)

Piero Molino

Cofounder and CEO/ Creator of open-source

Predibase/ Ludwig.ai 

Associated Talks:

03:10PM - Day 1

View Presentation: Accelerating AI Development with Large Language Models and Declarative Machine Learning

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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.

. Piero Molino, Cofounder and CEO/ Creator of open-source, Predibase/ Ludwig.ai 

03:30PM

(PDT)

Duncan MacRae

Editor in Chief

TechForge Media

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Abhinav Kohar

Head of Data Science - Americas

Schlumberger

Associated Talks:

03:30PM - Day 1

View Panel: Talking Digitally with NLP

10:00AM - Day 1

View Presentation: Advances in Edge AI – A case study

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Deepak Singh

Product Manager

Teladoc Health

Associated Talks:

03:30PM - Day 1

View Panel: Talking Digitally with NLP

11:40AM - Day 1

View Panel: Building an Augmented Workforce

View Full Info

Amir Emadzadeh

Director of Data Science Software

Genentech

Associated Talks:

03:30PM - Day 1

View Panel: Talking Digitally with NLP

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Prasanth Nandanuru

SVP

Wells Fargo

Associated Talks:

12:45PM - Day 2

View Panel: MLOps Excellence – Best Practices for Managing Data, Models, and Integrations

02:25PM - Day 1

View Presentation: Revolutionizing Financial Forecasting

03:30PM - Day 1

View Panel: Talking Digitally with NLP

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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.
Moderator: . Duncan MacRae, Editor in Chief, TechForge Media
. Abhinav Kohar, Head of Data Science - Americas, Schlumberger
. Deepak Singh, Product Manager, Teladoc Health
. Amir Emadzadeh, Director of Data Science Software, Genentech
. Prasanth Nandanuru, SVP, Wells Fargo

04:10PM

(PDT)

Mohamed Elgendy

Co-Founder & CEO

Kolena

Associated Talks:

04:10PM - Day 1

View Presentation: Standardize & Automate Model Testing

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Presentation: Standardize & Automate Model Testing

  • High granularity scenario-level testing.
  • Automated regression testing.
  • Systematic model validation.
  • Best practices for systematic model testing.
. Mohamed Elgendy, Co-Founder & CEO, Kolena

04:20PM

(PDT)

Sudip Roy

Engineering Manager, Inference and Serving

Cohere

Associated Talks:

04:20PM - Day 1

View Presentation: How to Use Natural Language Processing to Power Everyday Apps and Experiences

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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. 

. Sudip Roy, Engineering Manager, Inference and Serving, Cohere

04:40PM

(PDT)

Patrick Marlow

Conversational AI Engineer, Cloud AI and Industry Solutions (CAIIS) Black Belt Team

Google

Associated Talks:

04:40PM - Day 1

View Presentation: Practical Business Applications of LLMs

02:40PM - Day 1

View Panel: Converging Technologies – We Work Better Together

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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.

. Patrick Marlow, Conversational AI Engineer, Cloud AI and Industry Solutions (CAIIS) Black Belt Team, Google