Day 1 - 5 October 2022

09:30AM

(PDT)

Mohan Reddy

Chief Technology Officer/ Associate Director, Human Perception Lab

SkyHive/ Stanford University

Associated Talks:

09:30AM - Day 1

View Enterprise AI: Chairpersons Welcome

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Enterprise AI: Chairpersons Welcome

Chairpersons welcome and opening remarks. 

. Mohan Reddy, Chief Technology Officer/ Associate Director, Human Perception Lab, SkyHive/ Stanford University

09:45AM

(PDT)

Daniel Wu

Head of AI & ML, Commercial Banking

JPMorgan Chase & Co.

Associated Talks:

09:45AM - Day 1

View Presentation: Building Enterprise AI Excellence

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Presentation: Building Enterprise AI Excellence

As investment in AI continues to grow rapidly, many businesses continue to face the challenge of effectively leveraging AI and maximizing business impact. Although AI has shown incredible power when solving certain problems and driving tremendous value, building enterprise AI excellence is a journey that requires vision, strategy plan, and execution. With the right framework and clear focus on key aspects to drive success including organization, data & analytics capability, technology, and value delivery, the power of AI can be fully unleashed and drive exponential impact across enterprises.

. Daniel Wu, Head of AI & ML, Commercial Banking, JPMorgan Chase & Co.

10:15AM

(PDT)

Henry Ehrenberg

Co-founder

Snorkel AI

Associated Talks:

10:15AM - Day 1

View Keynote Presentation: Automated Data Labeling for NLP

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Keynote Presentation: Automated Data Labeling for NLP

Labeling training data is the bottleneck most NLP teams face today. The key to unlocking transformative (e.g., 10x to 100x) speedup for NLP application development is to change the interface to labeling altogether—and move from manual labeling to programmatic labeling.

Learn how to harness the power of programmatic labeling and weak supervision techniques for automating parts of the labeling process, and leveraging a data-centric approach to AI development. In this talk you will also learn about real-world NLP use cases from Fortune 500 companies that have made the transition from manual to programmatic labeling.

. Henry Ehrenberg, Co-founder, Snorkel AI

10:45AM

(PDT)

Mohan Reddy

Chief Technology Officer/ Associate Director, Human Perception Lab

SkyHive/ Stanford University

Associated Talks:

09:30AM - Day 1

View Enterprise AI: Chairpersons Welcome

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Kojin Oshiba

Co-Founder

Robust Intelligence

Associated Talks:

10:45AM - Day 1

View Panel: Keeping it Ethical in AI

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Ruben Buell

CEO

Reflex Media

Associated Talks:

05:00PM - Day 1

View VIRTUAL PRESENTATION: Reflex Media

10:45AM - Day 1

View Panel: Keeping it Ethical in AI

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Arjuna Flenner

Senior Technical Leader, Machine Learning and Autonomy

GE Aviation Systems

Associated Talks:

10:45AM - Day 1

View Panel: Keeping it Ethical in AI

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Forrest Pascal

Principal, AI/ML Model Governance, Data & AI Platform Engineering

Kaiser Permanente

Associated Talks:

10:45AM - Day 1

View Panel: Keeping it Ethical in AI

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Karthik Shanmugasundaram

Senior Engineering Manager, LinkedIn Learning Discovery

Linkedin

Associated Talks:

10:45AM - Day 1

View Panel: Keeping it Ethical in AI

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Panel: Keeping it Ethical in AI

  • Human-in-the-loop review processes – how can we decide where the buck stops in decision making?  
  • Reconfiguring data input to tackle non-ethical AI bias. 
  • The potential of labour replacement and corporate practice that can be done to mitigate the risk of job-loss. 
Moderator: . Mohan Reddy, Chief Technology Officer/ Associate Director, Human Perception Lab, SkyHive/ Stanford University
. Kojin Oshiba, Co-Founder, Robust Intelligence
. Ruben Buell, CEO, Reflex Media
. Arjuna Flenner, Senior Technical Leader, Machine Learning and Autonomy, GE Aviation Systems
. Forrest Pascal, Principal, AI/ML Model Governance, Data & AI Platform Engineering, Kaiser Permanente
. Karthik Shanmugasundaram, Senior Engineering Manager, LinkedIn Learning Discovery, Linkedin

11:35AM

Networking Break

11:50AM

(PDT)

Bjorn Austraat

Head of AI Acceleration

Truist

Associated Talks:

11:50AM - Day 1

View Presentation: Enough Science Experiments! Pragmatic Tips from the Real World for Turning AI Ideas into Enterprise Value

02:30PM - Day 1

View Is Agile AI a Myth? Three ways to pull off design and agile thinking in your AI project

09:30AM - Day 1

View Panel: Built to scale – Ramping up AI projects

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Presentation: Enough Science Experiments! Pragmatic Tips from the Real World for Turning AI Ideas into Enterprise Value

  • 5% model, 95% everything else: Three truly comprehensive pillars to evaluate AI ideas for enterprise “viability”
  • Tips on building AI teams that get things done
  • Agile AI? Waterfall agile AI? Examples of bringing agile principles to AI and machine learning
. Bjorn Austraat, Head of AI Acceleration, Truist

12:20PM

(PDT)

Nienke Bos

Solution Architect

Snowplow Analytics

Associated Talks:

12:20PM - Day 1

View Presentation: Behavioral Data Creation for AI – Delivering Value and Insights

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Presentation: Behavioral Data Creation for AI – Delivering Value and Insights

The role of the data team is changing. Instead of focusing purely on data infrastructure; data leaders are now responsible for the core strategy across their organization and are expected to deliver increasing value from data. After a decade of working with organizations from across the globe, we’ve developed best-in-class practices to increase your data sophistication and drive more value from your data. Join us to discover:

  • What does good data for AI look like? AI powered by the right data is highly effective but what tools can you use to confidently collect the best quality data from your platforms?
  • How creating your own first-party, proprietary behavioral data on how your customers use your digital products and services drives a significant competitive advantage
  • Aspirational case studies from your peers, including the common pitfalls we’ve seen across the industry, and our most exciting success stories.
. Nienke Bos, Solution Architect, Snowplow Analytics

12:40PM

(PDT)

Dr. Satyam Priyadarshy

Managing Director-India Centre & Technology Fellow and Chief Data Scientist

Halliburton

Associated Talks:

12:40PM - Day 1

View Presentation: Digital Disruption in a Complex Industry

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Presentation: Digital Disruption in a Complex Industry

Session focusing on utilizing Cloud and AI in the energy sector. 

. Dr. Satyam Priyadarshy, Managing Director-India Centre & Technology Fellow and Chief Data Scientist, Halliburton

01:10PM

Lunch & Networking Break

02:20PM

(PDT)

Joe Kvidera

VP of Sales

Lucy AI

Associated Talks:

01:50PM - Day 1

View VIRTUAL PRESENTATION: How your Digital Transformation has Created your Ultimate Employee

02:20PM - Day 1

View Presentation: Bringing Internal Data Resources to Life with AI

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Presentation: Bringing Internal Data Resources to Life with AI

Internal intelligence is one of your companies’ biggest competitive assets. A tremendous amount of information lives in PowerPoints, PDFs, videos, Word Documents and more. This data is the most difficult to extract from, yet the most valuable, as time, money and insight was spent converting data into knowledge. It’s a constant challenge to find the information when needed, especially when information is spread across repositories and geographies. Recent advances in AI-knowledge management platforms are now providing teams the capability to instantly access answers across all sources of internal knowledge and delivering businesses huge advantages from freeing up thousands of hours per year spent on searching for existing information to saving millions of dollars in redundant work.

. Joe Kvidera, VP of Sales, Lucy AI

02:30PM

(PDT)

Laura Patel

Director, Data Science and Machine Learning

UPS

Associated Talks:

02:30PM - Day 1

View Presentation: Applying AI in the Enterprise to Drive Value

01:10PM - Day 2

View Panel: Making sense of your data

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Presentation: Applying AI in the Enterprise to Drive Value

Data driven decisions are essential for organizations to thrive in the digital age. With vast amounts of data being collected and processed, businesses are in the position to leverage artificial intelligence and machine learning to enhance business decisions. In this talk, UPS, a global transportation and logistics leader, will discuss case studies in how AI has successfully been implemented to drive business value. 

. Laura Patel, Director, Data Science and Machine Learning, UPS

02:50PM

Coffee & Networking in the Exhibition Area

03:10PM

(PDT)

John Hughes

Accuracy Team Lead

Speechmatics

Associated Talks:

03:10PM - Day 1

View Presentation: Delving into Speech-to-text meaning – Where do we go beyond WER

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Presentation: Delving into Speech-to-text meaning – Where do we go beyond WER

Word Error Rate (WER) is the primary quality metric for all speech providers. Engineers use it to make almost every research decision and customers use it to evaluate vendors. But it has many flaws… 

Who cares about an extra um, a missing hyphen, or an alternative spelling. Or how about a difference in written numerical formatting (1,000 vs 1000 or eleven vs 11)? These all increase WER but do not affect meaning in the slightest. 

How about omitting the word ‘suspected’ before murderer? Or predicting a wrong word that changes the sentiment? An ideal metric would take these minor and serious errors into account and score a system appropriately. 

If you’re interested to find out how we at Speechmatics are thinking of solving this problem, then come along to the talk!

. John Hughes, Accuracy Team Lead, Speechmatics

03:30PM

(PDT)

Matt Linder

Senior Machine Learning Engineer

Headspace

Associated Talks:

04:30PM - Day 1

View Presentation: Mindful AI at Headspace – From Impersonal Statistical Modeling to Personalized Care

03:30PM - Day 1

View Presentation: Mindful AI at Headspace – From Impersonal Statistical Modeling to Personalized Care

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Presentation: Mindful AI at Headspace – From Impersonal Statistical Modeling to Personalized Care

Headspace is a values-first company: through 10 years of innovating the use of technology in meditation and mindfulness, the focus has never shifted from making sure that our approach to technological implementation is as mindful as our content.

Over the last year, much of that innovation has centered around ML-powered personalization: from in-app content recommendation to push notifications to AI-driven dynamic welcome flows. But implementing ML/AI solutions brings unique challenges: personalization is inherently intimate and demands great sensitivity in the ways we use and communicate member data.

In this talk, we’ll explore how Headspace balances the intimate and data-centric process of building ML solutions while maintaining our brand identity as a mindful actor.

. Matt Linder, Senior Machine Learning Engineer, Headspace

04:00PM

(PDT)

Andy Rossmeissl

CEO & Co-founder

Faraday

Associated Talks:

04:00PM - Day 1

View VIRTUAL PRESENTATION: Five Simple Steps to Responsible AI for Brands that Care

03:20PM - Day 1

View VIRTUAL PRESENTATION: Build vs. Build Faster — Empower your Marketing Team with Consumer Predictions at Scale

04:00PM - Day 1

View Presentation: Five Simple Steps to Responsible AI for Brands that Care

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Presentation: Five Simple Steps to Responsible AI for Brands that Care

Responsible AI is quickly becoming a requirement for brands everywhere—but it doesn’t have to be hard. Faraday’s CEO will walk you through a handful of straightforward steps you can take to develop a Responsible AI practice, covering privacy, fairness, and more. This session, like Faraday itself, does NOT require a data science background.

. Andy Rossmeissl, CEO & Co-founder, Faraday

04:10PM

(PDT)

Ram Bulusu

Head of Digital Operations Technology

Sanofi

Associated Talks:

04:10PM - Day 1

View Presentation: MASCQOT – Agile Industrial Digital Model

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Presentation: MASCQOT – Agile Industrial Digital Model

To follow soon …

Pre-recorded session 

. Ram Bulusu, Head of Digital Operations Technology, Sanofi

04:30PM

(PDT)

Adhar Walia

Senior Director of Product Management, AI/ ML

CVS Health

Associated Talks:

04:30PM - Day 1

View Presentation: AI Enabled Healthcare – Aiding the Patient Experience

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Presentation: AI Enabled Healthcare – Aiding the Patient Experience

  • Human-centred AI for the optimum patient experience. 
  • AI enhancing the human expertise, not replacing it.  
  • Private and sensitive data – how it is handled and processed is more important than ever.  
  • Adopting AI quickly into existing processes, think automating routine tasks. 
. Adhar Walia, Senior Director of Product Management, AI/ ML, CVS Health

05:00PM

(PDT)

End of Day 1

View day 2 content here:

Applied Data & Analytics

Data Optimisation | Big Data | Intelligent Decision Making | Data Storage | Industry Use-cases 

 

Transformational AI

Personalisation | Edge AI | Digital Transformation | Future Progressions | Industry Use-case