Day 1 - 5 November 2020

10:00AM

(MST)

Satyam Priyadarshy

Technology Fellow and Chief Data Scientist

Halliburton

Associated Talks:

10:00AM - Day 1

View Presentation: Data Science and Machine Learning to make better business decisions

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Presentation: Data Science and Machine Learning to make better business decisions

  • Understanding the business need or problem that needs to be solved. 
  • Defining your KPI 
  • Data quality and governance, how to avoid ‘garbage in, garbage out’ 
  • Testing and implementing the right algorithm 
  • Translating your insights 

On-Demand Presentation

. Satyam Priyadarshy, Technology Fellow and Chief Data Scientist, Halliburton

10:20AM

(MST)

Bjorn Austraat

SVP, AI Enterprise Solutions

Wells Fargo

Associated Talks:

10:20AM - Day 1

View Presentation: Value Realization Strategy in AI: Picking winning AI projects and maximizing business results

04:10PM - Day 1

View Value Realization Strategy in AI: picking winning AI projects and maximizing business results

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Presentation: Value Realization Strategy in AI: Picking winning AI projects and maximizing business results

  • Macro strategies: top line and bottom line strategies, horizon 1, 2, and 3 focus 
  • Project prioritization: the 4 key ingredients for AI success 
  • AI organizational maturity and value realization strategy: evolving from “venture funded” to “ benefits centric” to “budget impact” 
  • Value realization tracking: instrumentation, A/B testing, proof of value 

On-Demand Presentation

. Bjorn Austraat, SVP, AI Enterprise Solutions, Wells Fargo

10:40AM

(MST)

Mukul Joshi

Senior Vice President – Technology & Engineering

Nitor Infotech

Associated Talks:

10:40AM - Day 1

View Presentation: Securing Machine Learning Applications – Adversarial machine learning – Attacks and Defenses

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Presentation: Securing Machine Learning Applications – Adversarial machine learning – Attacks and Defenses

  • Adversarial machine learning is a Machine Learning technique that attempts to fool models by supplying deceptive input.
  • An adversarial attack on a neural network can allow an attacker to inject algorithms into the target system. One can also create adversarial audio inputs to disguise commands to intelligent assistants in benign-seeming audio. With a growth in machine learning algorithms the security vulnerabilities becomes an increasing concerning area.
  • Learn the attacks and defense techniques for Adversarial machine learning to be able to make the machine learning model robust against the vulnerabilities

On-Demand Presentation

. Mukul Joshi, Senior Vice President – Technology & Engineering, Nitor Infotech

10:50AM

(MST)

Andrei Lopatenko

VP Engineering, Search and Conversational AI

Zillow Group

Associated Talks:

10:50AM - Day 1

View Presentation: AI in Search Engines. Building high performing search engine teams

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Presentation: AI in Search Engines. Building high performing search engine teams

  • Details to follow

On-Demand Presentation

. Andrei Lopatenko, VP Engineering, Search and Conversational AI, Zillow Group

11:10AM

(MST)

Aparna Dhinakaran

Chief Product Officer

Arize AI

Associated Talks:

11:10AM - Day 1

View Presentation: How to Monitor and Troubleshoot Models in Production – Stories from the Trenches

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Presentation: How to Monitor and Troubleshoot Models in Production – Stories from the Trenches

  • Discussing the state of the commonly seen ML Production monitoring and its challenges
  • Common challenges seen in models deployed in production, including model drift, data quality issues, distribution changes, outliers, and bias.
  • Best practices to address these challenges and how to use observability and explainability to help identify model issues before they impact the business.

On-Demand presentation

. Aparna Dhinakaran, Chief Product Officer, Arize AI

11:20AM

(MST)

Chris Tomlinson

Director & Founder

Data Science Foundation

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Raj Joseph

President & CEO

DQLabs

Associated Talks:

-

View DQLabs

11:20AM - Day 2

View Presentation: How to make sense of no sense data?

11:20AM - Day 1

View Panel: Big Data and AI for customer experience

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Derek Bouius

Product Manager – Software Compute

AMD

Associated Talks:

11:20AM - Day 1

View Panel: Big Data and AI for customer experience

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Ernie Ostic

Senior Vice President of Products

Manta

Associated Talks:

10:30AM - Day 2

View Panel Discussion: Enabling your Organization’s Digital Transformation Journey

11:20AM - Day 1

View Panel: Big Data and AI for customer experience

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Sunanda Parthasarathy

Senior Director Data Science, Retail Pharmacy Personalization

CVS Health

Associated Talks:

11:20AM - Day 1

View Panel: Big Data and AI for customer experience

11:50AM - Day 2

View Panel: Big Data and AI for customer experience

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Dr. Ganapathy Krishnan

Vice President, Engineering of the US R&D Centre

Flipkart

Associated Talks:

11:20AM - Day 1

View Panel: Big Data and AI for customer experience

02:00PM - Day 1

View Case study: Leveraging Multi-language conversational commerce to reach over 100m Consumers

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Panel: Big Data and AI for customer experience

  • How to leverage AI and Big Data technologies to get more value to customers with less expenditure? 
  • How to gain customer’s trust 
  • The next generation of conversational AI 
  • Predictive Intelligence for predicting customer behaviour

Live Webinar Panel

Moderator: . Chris Tomlinson, Director & Founder, Data Science Foundation
. Raj Joseph, President & CEO, DQLabs
. Derek Bouius, Product Manager – Software Compute , AMD
. Ernie Ostic, Senior Vice President of Products, Manta
. Sunanda Parthasarathy, Senior Director Data Science, Retail Pharmacy Personalization, CVS Health
. Dr. Ganapathy Krishnan, Vice President, Engineering of the US R&D Centre, Flipkart

12:00PM

Lunch & Speed Networking on event platform

01:00PM

(MST)

Gagan Aneja

Principal Product Manager AI/ML

Amazon Music

Associated Talks:

01:00PM - Day 1

View Presentation: Conversational AI & NLP

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Presentation: Conversational AI & NLP

  • Overview of conversational AI (Artificial intelligence) & NLP (Natural Language Processing)?
  • Challenges and opportunities in building intelligent assistants
  • How does it all work at a high level? (Components of Siri/Google Assistant/Alexa – how it works end-to-end)
  • Conversational AI in the next few years

On-Demand Presentation

. Gagan Aneja, Principal Product Manager AI/ML, Amazon Music

01:30PM

(MST)

Jonathan Zaleski

Sr. Director of Engineering & Head of Applause Labs

Applause

Associated Talks:

01:30PM - Day 1

View Presentation: Humans and AI working together

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Presentation: Humans and AI working together

  • What will the impact of an AI based workforce be on the future of the human workforce? 
  • Cultivating a strong employee experience 
  • Constructing effective human-machine teams 
  • Making sure your organisation is customer led, insights driven and connected

On-Demand Presentation

. Jonathan Zaleski, Sr. Director of Engineering & Head of Applause Labs, Applause

02:00PM

(MST)

Dr. Ganapathy Krishnan

Vice President, Engineering of the US R&D Centre

Flipkart

Associated Talks:

11:20AM - Day 1

View Panel: Big Data and AI for customer experience

02:00PM - Day 1

View Case study: Leveraging Multi-language conversational commerce to reach over 100m Consumers

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Case study: Leveraging Multi-language conversational commerce to reach over 100m Consumers

  • How is Flipkart using cutting edge AI/ ML techniques to assist users in the discovery, research and purchase of products.
  • Strategies for implementation
  • Improving response rates and growing customer loyalty
  • What were the successes and failures?

On-Demand Presentation

. Dr. Ganapathy Krishnan, Vice President, Engineering of the US R&D Centre, Flipkart