Day 2 - 6 October 2022
10:00AM
(PDT)
Aneel Kumar
Senior Director, Product & Platform Engineering Services
Accenture

10:00AM - Day 2
View Applied Data & Analytics: Chairpersons Welcome
Applied Data & Analytics: Chairpersons Welcome
Chairpersons welcome and opening remarks.
10:15AM
(PDT)
Joydipta Chakraborty
VP Data Engineering
JPMorgan Chase & Co.

10:15AM - Day 2
View Presentation: Scaling Webservices for Big Data Processing
Presentation: Scaling Webservices for Big Data Processing
To follow soon …
10:35AM
(PDT)
Mary MacCarthy
Data Advocate
Hightouch

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
Keynote Presentation: If you’re Stopping at Analytics, you’re letting your Data Die
- Every company needs BI, but BI alone is not enough.
- To be truly data-driven, companies also need to operationalize their data.
- With cloud warehouses and reverse ETL, getting enriched data back to business platforms is now easy.
- Getting data back to your business teams is the key to being truly data-driven.
11:05AM
(PDT)
Craig Materick
Senior Data Strategist
Insight

11:05AM - Day 2
View Keynote Presentation: Driving Value from Data in a World of Risk
Keynote Presentation: Driving Value from Data in a World of Risk
Traditional Data Governance focuses squarely on mitigating risk. But with a risk focus, companies miss important opportunities to capture value from their data. Learn how to use mature Data & Information Governance as a framework to balance risk and business opportunity to drive innovation, promote data-driven decisions, and enhance corporate success in a world of risk.
11:35AM
(PDT)
Aneel Kumar
Senior Director, Product & Platform Engineering Services
Accenture

10:00AM - Day 2
View Applied Data & Analytics: Chairpersons Welcome
Nathalie Delrue-McGuire
Industry Expert

11:35AM - Day 2
View Panel: Cashing in with Data Monetization
Glen Willis
Founding Team Member & Head Solutions Architect
Monte Carlo Data

11:35AM - Day 2
View Panel: Cashing in with Data Monetization
Panel: Cashing in with Data Monetization
- Understanding the real value of data before trying to add a price tag to deliverables.
- How to measure data through KPI’s – creating a holistic business strategy where data is part of the chain.
- Discoverability and data quality – the key pillars for being able to action and monetize capabilities.
- Being adaptable and open to innovation.
12:15PM
Networking Break
12:30PM
(PDT)
Jayanth Mysore
VP Product
Sigma

12:30PM - Day 2
View Presentation: Architecting a Data Synchronized Business with a Modern Data Stack

02:00PM - Day 1
View Presentation: AI Enterprise Solution
Presentation: Architecting a Data Synchronized Business with a Modern Data Stack
For decades, businesses have aspired to be ‘data-driven’. What does being ‘data-driven’ really mean? Surely it’s got to mean more than everyone staring at dashboards…more than everyone having access to the latest release of Microsoft Excel…more than everyone in an organization being able to query data… more than an organization spinning up a modern data stack. Even if all of the above were true, it begs the question ‘So what?’
That’s the problem with chasing ‘data-drivenness’ – it sort of means nothing. We contend that businesses must focus on synchronizing their business processes with data and have a clear objective to pursue -minimizing the delay between when the data suggests an opportunity to optimize and when the business is able to act on the same. At one extreme, we have recommendation engines and online ad serving systems that operate at near real-time – given the characteristics of the situation, these algorithms serve up content that optimizes revenue for the business.
We also note how traditionally brick-and-mortar big box retailers have been forced to rethink the timescales at which they fulfill inventory or run promotions in response to the speed at which large, fully online retailers are able to operate. What is happening is a sweeping trend to get business processes to move at the speed at which data intensive algorithms generate new insights. In this webinar, we discuss a blueprint for businesses to evolve to data-synchronized organizations using a modern data stack. We will explain why we view this transformation as one that’s readily accessible to organizations of all sizes, due to recent advances in analytical compute and storage, emergence of intuitive products coupled with the affordable economics of SaaS. We will cover how Sigma’s Workbooks are the center of driving this transformation in businesses across industry verticals.
12:50PM
(PDT)
Joe Chmielewski
Team Lead, Solutions Engineer
MANTA

12:50PM - Day 2
View Presentation: How MANTA Helps You Foster Trust in Your Data
Presentation: How MANTA Helps You Foster Trust in Your Data
Most organizations recognize the importance of trusting their data. After all, you want to feel confident that your data is accurate, high-quality, and can be used to drive positive business decisions. So what can you do to gain that trust? At MANTA, we’re ready to show you.
During this presentation, Joe Chmielewski, Team Lead, Solutions Engineer at MANTA, will break down why data lineage is the key to gaining trust in your data. In just 20 minutes, he will:
Explain what data lineage is and why you need it
Demonstrate how data lineage enables trust in data assets
Highlight key data lineage use cases
Perform a live demo of MANTA’s automated data lineage platform
01:10PM
(PDT)
Mahaalaxmi Ganesan
Vice President – Strategy and Analytics
J.P. Morgan Private Bank

01:10PM - Day 2
View Presentation: The Gap between Insight and Impact – Challenges to Building a Data-driven Organization
Presentation: The Gap between Insight and Impact – Challenges to Building a Data-driven Organization
- Organizations have scaled up their investments in Big Data and AI, however, a majority of key data and analytics executives report that business adoption of Data and AI initiatives still pose a major challenge.
- Adoption is often the last step in the analytics value chain and the insights gained from these analytics initiatives often fail to drive action.
- In this presentation, we will deep dive into the key challenges causing this gap between insights and impact in an organization and discuss recommendations to bridge the same.
01:40PM
Lunch & Networking Break
02:10PM
(PDT)
Gorkem Sevinc
Founder & CEO
Qualytics

02:30PM - Day 2
View VIRTUAL PRESENTATION: Data Observability is Not Enough

02:10PM - Day 2
View Presentation: Enriching Data Quality in Data Lakes and Lakehouses
Presentation: Enriching Data Quality in Data Lakes and Lakehouses
To follow soon …
02:20PM
(PDT)
Rohan Pednekar
Product Manager
Ahana

02:20PM - Day 2
View VIRTUAL PRESENTATION: Presto for Your Data Lakehouse

02:20PM - Day 2
View Presentation: Presto for Your Data Lakehouse
Presentation: Presto for Your Data Lakehouse
Today, data lakes are widely used and have become extremely affordable as data volumes have grown. However, they are only meant for storage and by themselves provide no direct value. With up to 80% of data stored in the data lake today, how do you unlock the value of the data lake? The value lies in the compute engine that runs on top of a data lake.
During this session, Ahana Product Manager Rohan Pednekar will discuss how to unlock the value of your data lake with the emerging Open Data Lakehouse architecture and why Presto, the open source SQL query engine, is critical to this approach. Finally, he will show why Ahana Cloud is the easiest way to deploy and run Presto on AWS S3.
02:30PM
(PDT)
Chandana Gopal
Research Director, Future of Intelligence
IDC
Pranay Chandur
Associate Director, Data Science
Walmart

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

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
Aakash Indurkhya
Co-Head of AI
Virtualitics

02:30PM - Day 2
View Panel: Data led Intelligent Decision Making
Maryanne Graves
Senior Product Manager of Automation
John Deere

02:30PM - Day 2
View Panel: Data led Intelligent Decision Making
Michael Ingrassia
President and General Counsel
Trūata

02:30PM - Day 2
View Panel: Data led Intelligent Decision Making
Panel: Data led Intelligent Decision Making
- Identifying target-rich, high-value data that can be used to generate intelligence.
- Transitioning from big data to ‘right’ data analytics – how to dissect the data you need.
- Collection, storage, exchangeability and security – how to ensure optimised processing of data for optimum response and actions.
- Data as the core of digital – aligning strategies to maximise data capabilities.