Schedule

25 July 2025
583 Park Avenue, New York

MachineCon Agenda

Discover Inspiring Sessions, Expert Insights, and Engaging Discussions on the Future of Data & Analytics

We are in the process of finalizing agenda for 2025. Visionaries, and pioneers in the field converge to exchange ideas, insights, and inspiration, fostering collaboration and fueling the next wave of AI-driven growth in USA.

Here’s the agenda for MachineCon 2024

MachineCon 2024
Jul 26, 2024

09:00 - 10:00
Registration & Breakfast
10:00 - 10:30
Breaking through the noise to achieve success with gen AI
By Edmund DeLussey Senior Vice President and Global Enterprise Services Leader at Genpact

In an era buzzing with gen AI’s capabilities, tech leaders must distinguish between what’s hype and reality. Join us for a keynote session that unveils actionable insights and five essential principles for harnessing gen AI’s true potential. From identifying high-value projects to rethinking operational models and mitigating risks, discover how leading enterprises are seizing the moment to deliver lasting impact.
10:35 - 10:55
AI Observability: The Key to Unlocking the Full Potential of Large Language Models
By Krishna Gade Founder and CEO at Fiddler AI

Large language models (LLMs) are transforming business operations and decision-making. However, deploying these models in enterprises presents significant trust, reliability, and ethical challenges. This talk will explore how AI observability ensures the performance, reliability, and transparency of LLMs, providing essential monitoring, diagnostics, and interpretability. Through real-world case studies and industry best practices, we will highlight risks and challenges in deploying LLMs and generative AI. Attendees will learn key metrics and frameworks for LLM evaluation, governance, and monitoring, which are essential for trust in high-stakes industries like finance, manufacturing, and healthcare. You will discover how AI observability is not just a tool but a necessity for harnessing the true power of LLMs, driving growth, and fostering trust in AI-driven decision-making across diverse sectors.
11:00 - 11:20
Does Your AI Strategy Feel Like You're Marching in Quicksand?
By Rajvir (Raj) Madan Chief Digital and Information Technology Officer at Arcutis Biotherapeutics

In the rapidly evolving landscape of artificial intelligence (AI), businesses often find themselves grappling with the challenges of developing and implementing effective AI strategies. "Does Your AI Strategy Feel Like You're Marching in Quicksand?" delves into the complexities and common pitfalls that organizations encounter on their AI journey.
11:20 - 11:40
Networking Break
11:40 - 12:15
[Panel Discussion] Can We Trust Machines with Critical Business Choices?
By Elizabeth Shaw AI Strategy Director at AIM Research, Venkat Achanta Chief Technology, Data & Analytics Officer at TransUnion, Navdeep “Navi” Chadha Co-Founder and Chief Technology Officer at Axtria, Arvind Balasundaram Executive Director, Commercial Insights & Analytics at Regeneron Pharmaceuticals, Scott Zoldi Chief Analytics Officer at FICO

This panel discussion will explore the extent to which enterprises can rely on Generative AI for making critical business decisions. It will examine the accuracy and reliability of AI-driven decision-making processes compared to human judgment. Participants will discuss the balance between human intuition and AI recommendations, considering real-world examples where AI has succeeded or failed in business settings. Ethical implications, accountability, and the potential risks of over-reliance on AI in strategic decision-making will also be addressed. The session aims to provide insights into the current capabilities of AI and its role in enhancing or undermining business decision-making.
12:15 - 12:45
AI100 Awards Segment 1
12:45 - 13:45
Networking Lunch
13:45 - 14:20
[Panel Discussion] Scaling Generative AI in Enterprises: Silver Bullet or Technical Challenge?
By Saydulu Kolasani SVP of Enterprise, Digital, & Data Transformation and Operations at Fisker, Giorgio Suighi Global Group Director, Data Strategy – Lead for Identity Resolution at Mindshare, Elizabeth Shaw AI Strategy Director at AIM Research, Ash Dhupar Chief Data & Analytics Officer at Analog Devices, Priya Serai Chief Information Officer at Zeus Fire and Security

This panel will address the practical challenges and opportunities associated with scaling Generative AI solutions across large enterprises. While AI offers significant potential for transformation and efficiency, the path to widespread implementation is fraught with technical, operational, and cultural hurdles. Participants will discuss the critical factors for successful AI scaling, including infrastructure requirements, data management, and integration with existing systems. Case studies will highlight both success stories and common pitfalls encountered during the scaling process. The session aims to provide a balanced view of whether Generative AI can be a silver bullet for enterprise challenges or if it remains a complex technical endeavor.
14:25 - 14:50
From Edges to Mainstream: Operationalizing Responsible AI for Enterprises at Scale
By Sreekanth Menon Global AI/ML Leader at Genpact

Learn to balance innovation with AI risk management, take proactive control in AI governance, and build dynamic risk frameworks beyond media concerns. Gain practical strategies to integrate responsible AI practices and transform cutting-edge innovations into mainstream enterprise applications. Don't miss this opportunity to lead in responsible AI at scale.
14:50 - 15:20
AI100 Awards Segment 2
15:20 - 15:40
Networking Break
15:40 - 16:15
[Panel Discussion] Cost-Benefit Analysis: Is Generative AI Worth the Investment for Enterprises?
By Gabi Steele Co-Founder & CEO at Preql, Deepak Jose Global Head and Senior Director for One Demand Data and Analytics Solutions at Mars Wrigley, Zee Moradi Chief Data Officer at UBS Bank USA, Bhaskar Kalita Global Head of Financial Services & Insurance at Quantiphi, Dwarika Patro Founder & COO at Aays

This panel discussion will focus on the financial implications of adopting Generative AI technologies within enterprises. Participants will engage in a comprehensive cost-benefit analysis, examining the initial investment, ongoing operational costs, and potential returns on AI implementation. The discussion will highlight real-world examples of enterprises that have realized significant benefits from AI, as well as instances where the investment did not meet expectations. Key considerations such as infrastructure costs, scalability, and long-term sustainability will be explored. The session aims to provide executives with a clear understanding of the financial trade-offs involved in adopting Generative AI and the factors that influence its overall value proposition for businesses.
16:20 - 16:40
The Disruption of Customer Experience Management. Artificial, Intelligent, Hype or Reality?
By Kathryn Stein CEO at IGT Solutions

Rarely, do advancements in technology drive such fervor and debate in as short a space of time as Generative AI has, but does it really have the potential to be truly disruptive in the world of Customer Experience? In the last 12 months, large enterprises have sought to assess the risks and opportunities, discover previously hidden sources of value, and manage the impacts of this disruption on their business. During this discussion, we will learn about how a leading CX solutions company is approaching the opportunity to disrupt itself and improve outcomes. AI disruption in CX Management discusses use case selection, understanding and working with technology maturity, our lived experience of the journey to implementation, and the critical risks you will need to tame.
16:40 - 18:00
AI100 Awards Final Segment
18:00 - 19:00
Networking Reception

2023 Agenda

An invite only Conference for Senior Data Executives

Inviting 100 of USA’s top Analytics leaders to learn and do business

Data is at the forefront of all business transformation. The challenge is to use this data and transform it into customer insights by implementing algorithms and designing new business models.

The Machine conference is a platform to recognize those who know how to transform data into competitive advantage.

2025 MachineCon VENUE

Join us at the historic 583 PARK AVENUE in New York City, Located on Park Avenue and 63rd Street.

Built in 1923 and designed by the renowned architectural firm of Delano & Aldrich, this exclusive venue is the perfect location to honor the exceptional achievements of the top minds in the AI and Data Science industry at the AI100 Awards ceremony.

Our 2024 Speakers

Gabi Steele

Co-Founder & CEO at Preql

Sreekanth Menon

Global AI/ML Leader at Genpact

Edmund DeLussey

Senior Vice President and Global Enterprise Services Leader at Genpact

Deepak Jose

Global Head and Senior Director for One Demand Data and Analytics Solutions at Mars Wrigley

Saydulu Kolasani

SVP of Enterprise, Digital, & Data Transformation and Operations at Fisker

Rajvir (Raj) Madan

Chief Digital and Information Technology Officer at Arcutis Biotherapeutics

Giorgio Suighi

Global Group Director, Data Strategy – Lead for Identity Resolution at Mindshare

Zee Moradi

Chief Data Officer at UBS Bank USA

Scott Zoldi

Chief Analytics Officer at FICO

Venkat Achanta

Chief Technology, Data & Analytics Officer at TransUnion

Ash Dhupar

Chief Data & Analytics Officer at Analog Devices

Bhaskar Kalita

Global Head of Financial Services & Insurance at Quantiphi

Navdeep “Navi” Chadha

Co-Founder and Chief Technology Officer at Axtria

Priya Serai

Chief Information Officer at Zeus Fire and Security

Dwarika Patro

Founder & COO at Aays

Arvind Balasundaram

Executive Director, Commercial Insights & Analytics at Regeneron Pharmaceuticals

Krishna Gade

Founder and CEO at Fiddler AI

Kathryn Stein

CEO at IGT Solutions

Senior Leaders Who Attended MachineCon 2023

MARS Petcare
Chaitanya Garikapati
Head of Data & Analytics

Genmab
Sanyam Kumar
Associate Director, Data Science

Paradigm
Jason Cooper
Chief Technology Officer

Northwell Health
Marsha Meytlis Head of Data Science and Engineering

PCS Wireless
Jason Walston
Head of Data & Analytics

Oak Street Health
Prashanth Sarpamale
Chief Data and Analytics Officer

Ohio Attorney General’s Office
Shravan Kotha
Chief Data and Analytics Officer

Fanatics Collectibles
Jeffrey Yau
Chief Data & A.I. Officer

Springer Nature Group
Reshma Shaikh
VP Strategy and Operations

Prudential Financial
Douglas Elfers
VP, Data Science

BMO Financial Group
Pradip Nandi
Head of Analytics and Modeling – Credit Loss Allowances

Estee Lauder
Sol Rashidi
Chief Analytics Officer

Boeing
Datta Junnarkar
Chief Information Officer – Maritime

Batesville
Sahal Laher
Chief Technology and Digital Officer

Sephora
Sree Sreedhararaj
Chief Technology Officer

CVS Health
Samrat Kulkarni
Lead Director of Data Science

American Express
Sharad Singh
Director, B2B Product Analytics

PyCaret
Moez Ali
Creator

Academy Sports + Outdoors
Jeevan Prakash
Director of Analytics, Omnichannel

Microsoft
Sadid Hasan
AI Lead

CVS Health
Piero Ferrante
AVP and Data Science Fellow

Memorial Sloan Kettering Cancer Center
Avijit Chatterjee
Head of AI/ML and NextGen Analytics

ADM
Sarang Ananda Rao Analytics Leader, Global Technology

Sanofi
Shameer Khader
Global Head of Data Science, Data Engineering and Computational Biology

Greystone
Niraj Patel
Chief Information Officer

Bon Secours Mercy Health
Kapila Monga
Head of Data Science and Engineering

Walmart
Prakhar Mehrotra
Vice President – Machine Learning

GE Aviation
Dinakar Deshmukh
VP- Data Science & Analytics

Chubb
Manish Sethia
Vice President – Applied AI

Citi
Virag Masuraha
Managing Director, Global Head of Fraud Analytics and Modeling

Northern Trust Asset Management
Vijay Rajandram
Chief Data Officer

Department of the Air Force
Eileen Vidrine
Chief Data & Artificial Intelligence Officer

Halliburton
Satyam Priyadarshy
Managing Director & Chief Data Scientist

Advance Auto Parts
Yvonne Li
Vice President of Enterprise Data & AI

Wayfair
Ankit Mangal
Global Head of Analytics – Supplier Tech

Curology
Sujay Kar
VP Of Data & Analytics

Youtube
Balaji T Kuppuswamy
Director, Data Infrastructure and Business Intelligence Products

Dow Jones
Anjali Gupta Reddi
Chief Data Officer

BlackRock
Dan Merzlyak
Director, Head of Aladdin Data Migration Practice and Business Intelligence

Enact Mortgage Insurance
Aleksandr Kudman
Chief Analytics Officer

Spotify
Ruchika Singh
Director, Data Science & Insights

Oura
Hal Tily
Head of Data Science and Engineering

Mars Wrigley
Deepak Jose
Global Head and Senior Director for One Demand Data and Analytics Solutions

Chime
Anil Puli
Head of Business Intelligence

Gannett
Arvind Thinagarajan
Head of Data Science & Analytics

CBS Corporation
Radha Subramanyam
President and Chief Research and Analytics Officer

McAfee
Shri Prakash Singh
Head of Data Science & Analytics

American Eagle Outfitters
Bk Vasan
VP Data Technology & Analytics, CDO

Pendulum Therapeutics
Kiran Kanetkar
Vice President – Technology,Data and Analytics

DocuSign
Indrasis Mondal
Senior Director of Data Science, AI&insights

Lowes
Kunal Das
Vice President – Applied AI, Data Products & Analytics

Mosaic
Aditya Sikka
Director

Regeneron Pharmaceuticals
Arvind Balasundaram
Executive Director, Commercial Insights & Analytics

Credit Suisse
Satya Choudary Mukkala
VP, Head of Cloud, Data, ML & AI

NYU Langone Health
Arys Nogueron
Director, Data Analytics

HelloFresh
Aleksandar Lazarevic
VP Analytics

EasyKnock
Rajit Kavindran
Chief Data Science and Analytics Officer

Microsoft
Charles Morris
Chief Data Scientist for Financial Services

Walgreens Boots Alliance
Vishwesh Patil
Senior Director, Data Analytics and EPM

Webster Bank
Mukundan Rengaswamy
Head of Data Engineering, Innovation & Architecture

Mindshare
Giorgio Suighi
Global Group Director, Data Strategy – Lead for Identity Resolution

Arcutis Biotherapeutics
Rajvir (Raj) Madan
Chief Digital and Information Technology Officer

BuzzFeed
Archi Mitra
Senior Director of Machine Learning

Otsuka Pharmaceutical
Tifani McCann
Chief Data & Analytics Officer

Evernorth Health Services
David Fogarty
Enterprise Digital Analytics Leader

Haleon
Daniel Gardner
Social Intelligence Lead

Envestnet Data & Analytics
Farouk Ferchichi
President

Wells Fargo
Agus Sudjianto
EVP, Head of Corporate Model Risk

UBS Bank USA
Zee Moradi
Chief Data Officer

RBC Capital Markets
Anurag Sehgal
Managing Director

Thrivent
Sravan Kasarla
Chief Data Officer

BAE Systems
Ash Dhupar
Chief Data Officer

PPG
Ujwal Chejerla
Director, AI/ML CoE

Merck
Abhishek Narayan Singh
Chief Analytics Officer & Head of Digital Solutions

Albertsons
Gary Patel
Sr Director, eCommerce BI & Analytics

PURE Group of Insurance Companies
Sidd TUMKUR
Senior Vice President, Data Strategy, Operations and Management

U.S. Army
Chandra Donelson
Deputy Chief Data Officer

Unum
Reed Hayes
Vice President of Applied AI/ML

Reckitt
Padma Hari
North America Hygiene Chief Technology & Digital Officer; Transformation Leader

Morgan Stanley
Punit Mahajan
Head of Analytics Strategy

Unilever
Arun Nandi
Head of Data & Analytics

Pacific Life
Wayne Huang
Head of Data Science and Engineering

Bayer Consumer Health
Manik Gupta
North America Chief Analytics and Insights Officer

AIG
Pavan Dhavaleshwar
Global Head of Data Analytics and Monitoring, Global Compliance

Zoetis
Krishna Cheriath
Chief Data & Analytics Officer

Hartford Steam Boiler
Asif Mahammad Syed
Vice President, Data Strategy

U.S. Coast Guard
Brian Erickson
Chief Data & Artificial Intelligence Officer

Georgia Pacific
Karthikeyan Ramasamy
Vice President – Artificial Intelligence

Boehringer Ingelheim
Victoria Gamerman
Global Head of Data Governance and Insights

DoorDash
Gunnard Johnson
Head of Data Science

Popular Bank
Meenakshi Thanikachalam
Chief Data & Analytics Officer

Johnson & Johnson
Pankaj Chopra
Head, Enterprise Analytics & Insights

Apollo Global Management
Vikram Mahidhar
Operating Partner

Allstate
Joe Kleinhenz
Vice President of Data Science

eBay
Vinay Yaragani
Director – Strategic Insights, Analytics & Data Science

Thomson Reuters
Preet Nagvanshi
Head of Commercial Excellence

Neiman Marcus Group
Manneet Singh
Vice President – Data, Analytics & MarTech

Belcorp
Venkat Gopalan
Chief Digital, Data & Technology Officer

Bloomberg
Anju Kambadur
Head of AI Engineering

eBay
Ashish Singru
Global Data Science and Business Operations Leader

Novartis
Amar Drawid
Global Head of Data Analytics & Infrastructure

MachineCon 2024

Registration & Breakfast

Breaking through the noise to achieve success with gen AI

AI Observability: The Key to Unlocking the Full Potential of Large Language Models

Does Your AI Strategy Feel Like You're Marching in Quicksand?

Networking Break

[Panel Discussion] Can We Trust Machines with Critical Business Choices?

AI100 Awards Segment 1

Networking Lunch

[Panel Discussion] Scaling Generative AI in Enterprises: Silver Bullet or Technical Challenge?

From Edges to Mainstream: Operationalizing Responsible AI for Enterprises at Scale

AI100 Awards Segment 2