Day 1 - 5 October 2022

10:00AM

(PDT)

Aneel Kumar

Senior Director, Product & Platform Engineering Services

Accenture

Associated Talks:

10:00AM - Day 2

View Applied Data & Analytics: Chairpersons Welcome

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Chairpersons Welcome, AI, Data & Digital Strategies

Chairpersons welcome and opening remarks. 

Moderator: . Aneel Kumar, Senior Director, Product & Platform Engineering Services , Accenture

10:15AM

(PDT)

Mohit Goenka

Head of Core Engineering (VP)

Grindr

Associated Talks:

12:10PM - Day 2

View Panel: Embracing AI to Drive Digital Transformation

10:15AM - Day 1

View Presentation: Building Large Scale Applications

01:20PM - Day 2

View Panel: AI Driven Digital Transformation

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Presentation: Building Large Scale Applications

To follow soon …

. Mohit Goenka, Head of Core Engineering (VP), Grindr

10:45AM

(PDT)

Ash Damle

Head of AI & Data Science

The Modern Data Company

Associated Talks:

10:45AM - Day 1

View Presentation: DataOS – The Decision Ops Platform Helping Data Scientists and Engineers Work Faster, Better & Easier

02:30PM - Day 2

View Panel: Data led Intelligent Decision Making

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Presentation: DataOS – The Decision Ops Platform Helping Data Scientists and Engineers Work Faster, Better & Easier

Align data strategy with business strategy by transforming a siloed data infrastructure into a modern programmable enterprise.

. Ash Damle, Head of AI & Data Science, The Modern Data Company

11:15AM

(PDT)

Mohan Konduri

Director of Engineering

Indeed

Associated Talks:

11:15AM - Day 1

View Presentation: Reinforcement Learning Strategies in Experimentation

12:00PM - Day 1

View Panel: Making the Most of Data

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Presentation: Reinforcement Learning Strategies in Experimentation

A/B testing or Experimentation plays a key role in decision making. Data driven approaches with science underpinnings provide the needed rigor to test hypotheses and make decisions. There are however a class of decisions where variable assignments based on Reinforcement Learning techniques make some tests feasible and add velocity (shorter experimentation duration) to others. These strategies don’t conform to the standard hypothesis testing template but serve the same end goal of data driven decision making. We will go through an overview of multi-arm bandits and bayesian parameter tuning as RL strategies applied to experimentation systems.

. Mohan Konduri, Director of Engineering, Indeed

11:45AM

Networking Break

12:00PM

(PDT)

Aneel Kumar

Senior Director, Product & Platform Engineering Services

Accenture

Associated Talks:

10:00AM - Day 2

View Applied Data & Analytics: Chairpersons Welcome

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Michael van Meurer

Senior Solutions Engineer

Kili Technology

Associated Talks:

12:00PM - Day 1

View Panel: Making the Most of Data

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Mohan Konduri

Director of Engineering

Indeed

Associated Talks:

11:15AM - Day 1

View Presentation: Reinforcement Learning Strategies in Experimentation

12:00PM - Day 1

View Panel: Making the Most of Data

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Lewis Mbae

Head of Customer Engineering

RudderStack

Associated Talks:

12:00PM - Day 1

View Panel: Making the Most of Data

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Mary MacCarthy

Data Advocate

Hightouch

Associated Talks:

12:00PM - Day 1

View Panel: Making the Most of Data

10:35AM - Day 2

View Keynote Presentation: If you’re Stopping at Analytics, you’re letting your Data Die

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Josh Meurer

National Data & AI Practice Director

Insight

Associated Talks:

12:00PM - Day 1

View Panel: Making the Most of Data

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Zachary Van Doren

Senior Director, ISV Alliances

ActionIQ

Associated Talks:

12:00PM - Day 1

View Panel: Making the Most of Data

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Panel: Making the Most of Data

  • Identifying and breaking down silos across departments and business data stacks.  
  • How to maximise data sets and data pipelines.  
  • Aligning data with specific business goals – making use of insights for targeted business e.g. seasonal buying cycles and customer demand.  
Moderator: . Aneel Kumar, Senior Director, Product & Platform Engineering Services , Accenture
. Michael van Meurer, Senior Solutions Engineer, Kili Technology
. Mohan Konduri, Director of Engineering, Indeed
. Lewis Mbae, Head of Customer Engineering, RudderStack
. Mary MacCarthy, Data Advocate, Hightouch
. Josh Meurer, National Data & AI Practice Director, Insight
. Zachary Van Doren, Senior Director, ISV Alliances, ActionIQ

12:50PM

(PDT)

Ben Tonon

Enterprise Account Executive

Metric Insights

Associated Talks:

12:50PM - Day 1

View Presentation: Universal BI Portal: The Missing Ingredient to your BI Strategy

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Presentation: Universal BI Portal: The Missing Ingredient to your BI Strategy

Governance can be intimidating for many large enterprises. Users have access to multiple tools and content, and establishing a uniform layer of governance on top of all your BI, Big Data, and Analytics tools is a daunting task. However, governance is critical, and the lack of proper governance leads to poor user engagement and low ROI from BI, big data, and AI initiatives.

Join this session to learn how you can…..
1. Establish a unified portal to provide a single source of truth for data insights
2. A Governance layer that provides analysts a way of documenting, categorizing, and certifying key BI reports and publishing them
3. Track usage and feedback of your analytics

. Ben Tonon, Enterprise Account Executive, Metric Insights

01:10PM

Lunch & Networking Break

01:40PM

(PDT)

Gil Levonai

CMO

Vanti

Associated Talks:

01:40PM - Day 1

View Presentation: Accelerating AI Deployment in Manufacturing and Achieving Tangible ROI within days!

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Presentation: Accelerating AI Deployment in Manufacturing and Achieving Tangible ROI within days!

AI in manufacturing is a hot topic around the industry, with multiple potential use cases, vendors, and methodologies.

The challenge that manufacturers face is that the path from concept to deployment to ROI is very resource and time-consuming, requiring months of work and multiple expertise. And in many cases, the ROI is never actually achieved.

In this session, we will explore the regular path from concept to ROI in manufacturing AI projects and how new technologies can shorten it to days instead of months.

We will showcase a real-life case study involving early fault detection model deployment in one week that resulted in substantial savings and efficiencies.

. Gil Levonai, CMO, Vanti

02:00PM

(PDT)

Pranay Chandur

Associate Director, Data Science

Walmart

Associated Talks:

02:00PM - Day 1

View Presentation: Back to Basics – Creating a Strong Business Data Strategy

02:30PM - Day 2

View Panel: Data led Intelligent Decision Making

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Presentation: Back to Basics – Creating a Strong Business Data Strategy

  • Understanding the challenges businesses are facing and looking at how data can be the answer – not a one size fits all response.  
  • Utilising the enterprises strategic advantage – how to unlock data’s value.  
  • Studying current processes for capturing data and looking at next steps.
. Pranay Chandur, Associate Director, Data Science, Walmart

02:20PM

(PDT)

Cal Al-Dhubaib

CEO, AI Strategist

Pandata

Associated Talks:

02:20PM - Day 1

View Presentation: Generating Business Value with Applied Machine Learning and AI

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Presentation: Generating Business Value with Applied Machine Learning and AI

The what: While AI continues to evolve at a rapid pace – adoption rates growing day over day – projects still fail at a disappointingly high rate. The why: In the past, capturing data at scale and building models was the challenge, but today we’re confronted with the issue of making AI more robust while avoiding the risk of unintended consequences.  While the tools are new, many challenges remain the same.  This session will cover:

  • Building blocks to develop requirements for AI-driven projects 
  • Examples of identifying and mitigating project risks and unintended consequences 
  • How to build the business case for an AI project (and get buy in) 
. Cal Al-Dhubaib, CEO, AI Strategist, Pandata

02:40PM

(PDT)

Wing Au

Member of the Research Staff in the Discovery Intelligence team

Fujitsu

Associated Talks:

02:40PM - Day 1

View VIRTUAL PRESENTATION: Understanding the Data Eco-System with Discovery AI

02:40PM - Day 1

View Presentation: Understanding the Data Eco-System with Discovery AI

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Presentation: Understanding the Data Eco-System with Discovery AI

  • Data Eco-System – From Tabular & Object Data to Graph Data
  • Graph Data in Industrial Applications
  • Fujitsu and Larus Partnership – From Graph Database to Graph AI
  • Explainable Graph AI (GXAI) with EnsemBiz – Deep Tensor
  • Deep Dive Example into Discovery GXAI Pipeline
. Wing Au, Member of the Research Staff in the Discovery Intelligence team, Fujitsu

03:00PM

Networking Break

03:30PM

(PDT)

Jascha Prosiegel

Market Lead North America, Artificial Intelligence Risks

Munich Reinsurance

Associated Talks:

03:30PM - Day 1

View Presentation: Financial Risk Management of B2B AI

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Presentation: Financial Risk Management of B2B AI

  • Instruments to manage risks between AI vendors and buyers. 
  • Case studies of product differentiation through guarantees by AI vendors. 
  • Outlook on technology risk transfer enabling the AI transformation
. Jascha Prosiegel, Market Lead North America, Artificial Intelligence Risks, Munich Reinsurance

04:00PM

(PDT)

Raj Joseph

CEO & Founder

DQ Labs

Associated Talks:

04:00PM - Day 1

View Presentation: Delivering the Data that Matters

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Presentation: Delivering the Data that Matters

To follow soon …

. Raj Joseph, CEO & Founder, DQ Labs

04:10PM

(PDT)

Kunal Agarwal

Co-founder and CEO

Unravel Data

Associated Talks:

04:10PM - Day 1

View Presentation: Empowering Data Teams with DataOps Observability

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Presentation: Empowering Data Teams with DataOps Observability

  • Why data teams require an observability platform designed specifically for data applications. 
  • What multidimensional DataOps observability helps manage (performance, cost, data quality). 
  • How DataOps observability isn’t just for engineers or operations but empowers different data team members across the DataOps lifecycle. 
. Kunal Agarwal, Co-founder and CEO, Unravel Data

04:30PM

(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.

Pre-recorded session 

. Matt Linder, Senior Machine Learning Engineer, Headspace

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