Day 1 - 5 October 2022
09:30AM
(PDT)
Enterprise AI: Chairpersons Welcome
Chairpersons welcome and opening remarks.
09:45AM
(PDT)
Daniel Wu
Head of AI & ML, Commercial Banking
JPMorgan Chase & Co.

09:45AM - Day 1
View Presentation: Building Enterprise AI Excellence
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.
10:15AM
(PDT)
Henry Ehrenberg
Co-founder
Snorkel AI

10:15AM - Day 1
View Keynote Presentation: Automated Data Labeling for NLP
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.
10:45AM
(PDT)
Kojin Oshiba
Co-Founder
Robust Intelligence

10:45AM - Day 1
View Panel: Keeping it Ethical in AI
Ruben Buell
CEO
Reflex Media

05:00PM - Day 1
View VIRTUAL PRESENTATION: Reflex Media

10:45AM - Day 1
View Panel: Keeping it Ethical in AI
Arjuna Flenner
Senior Technical Leader, Machine Learning and Autonomy
GE Aviation Systems

10:45AM - Day 1
View Panel: Keeping it Ethical in AI
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.
11:35AM
Networking Break
11:50AM
(PDT)
Bjorn Austraat
Head of AI Acceleration
Truist

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
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
12:20PM
(PDT)
Nienke Bos
Solution Architect
Snowplow Analytics

12:20PM - Day 1
View Presentation: Behavioral Data Creation for AI – Delivering Value and Insights
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.
12:40PM
(PDT)
Dr. Satyam Priyadarshy
Managing Director-India Centre & Technology Fellow and Chief Data Scientist
Halliburton

12:40PM - Day 1
View Presentation: Digital Disruption in a Complex Industry
Presentation: Digital Disruption in a Complex Industry
Session focusing on utilizing Cloud and AI in the energy sector.
01:10PM
Lunch & Networking Break
02:20PM
(PDT)
Joe Kvidera
VP of Sales
Lucy AI

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
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.
02:30PM
(PDT)
Laura Patel
Director, Data Science and Machine Learning
UPS

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
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.
02:50PM
Coffee & Networking in the Exhibition Area
03:10PM
(PDT)
John Hughes
Accuracy Team Lead
Speechmatics

03:10PM - Day 1
View Presentation: Delving into Speech-to-text meaning – Where do we go beyond WER
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!
03:30PM
(PDT)
Matt Linder
Senior Machine Learning Engineer
Headspace

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
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.
04:00PM
(PDT)
Andy Rossmeissl
CEO & Co-founder
Faraday

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
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.
04:10PM
(PDT)
Presentation: MASCQOT – Agile Industrial Digital Model
To follow soon …
Pre-recorded session
04:30PM
(PDT)
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.
05:00PM
(PDT)
End of Day 1
View day 2 content here:
Data Optimisation | Big Data | Intelligent Decision Making | Data Storage | Industry Use-cases
Personalisation | Edge AI | Digital Transformation | Future Progressions | Industry Use-case