Data Analytics Leadership Forum: Aligning Business Strategy with Enterprise Analytics - Argyle Executive Forum Events


Quality, accuracy, and relevance are key to collecting and managing data. However, this paradigm is hard to achieve in an environment in which businesses are constantly forced to adopt new technology, thus creating a gap between the priorities of data professionals and business decision-makers.

Innovation takes flight via emerging technologies that promise to make data operations more efficient. C-suites and data leaders to need work together to ensure that priorities are consistent, and the data foundation is stable.

Leaders in data science take the stage at the Data Analytics Leadership Forum on July 13th to discuss how to improve existing data strategy to future-proof your infrastructure.

Network and learn from industry leaders to discover:

  • An up-close look at the foundation of a successful data infrastructure that allows companies to scale up and adapt as technology evolves
  • Innovations in deep learning to advance NLP
  • How to maximize the value of data by aligning strategy with business needs
  • New disruptive technology solutions and how they are impacting enterprise analytics
  • How to apply new data applications to make the most out of reporting, modeling and data extraction
Join Us at This Event










11 AM - 11:30 AM ET

KEYNOTE ADDRESS: Lead to Succeed: Leadership & Development Skills to Manage Data Teams Through Disruption

If the past year and a half has taught us anything, we have learned that it is crucial to prepare for the unexpected. Organizations have relied more heavily in recent years on data science teams to maximize on opportunities that will affect their bottom line. Because of this demand, the role of the data analyst is constantly evolving.

In this session, Chris Hutchins, VP, Chief Data & Analytics Officer, Northwell Health, will guide data executives to learn to lead through constant disruption, and on ways to improve data quality and governance.

You’ll Learn

  • What it takes to be a successful data leader, and strategies to reduce turnover of CDOs and other key data leadership positions
  • Scenario planning and governance frameworks to prepare leaders for unexpected change
  • How to build high performing data teams that can upskill as technology advances

Chris HutchinsVP, Chief Data & Analytics OfficerNorthwell Health

11:35 AM - 12:05 PM ET


12:10 PM - 12:55 PM ET

PANEL DISCUSSION: Operationalizing Data Strategy to Improve Business Intelligence

Companies everywhere are struggling to manage vast amounts of data at scale. With no shortage of valuable information, data practitioners must extract value from surmounting amounts of data, and work in tandem with key decision makers to make the most of  insights. To keep up with demand, data leaders have developed an operational mindset to better manage more complex data infrastructures.

In this discussion, industry leaders weigh on why developing a DataOps mindset can improve business intelligence and to enhance the quality and reliability of your company’s data.

You’ll Learn:

  • DataOps and governance strategies to develop a sustainable, Agile business model to improve data insights
  • Use cases to modernize dataflow to improve delivery, quality, and accuracy of analytics
  • How to integrate disruptive technology into your analytics framework to improve efficiency


Srinivasan SankarAVP - Enterprise Data & Analytics LeaderThe Hanover Insurance Group


Puneet MataiSVP, Associate Director - Enterprise Data GovernanceSantander Bank, N.A.

Lisa ModisetteVP HBO Max Content Intelligence & MetadataHBO

Suzy SteeleDirector, Data & Analytics, IT Strategy & ServicesCree

1 PM - 1:30 PM ET


1:30 PM - 2 PM ET


2 PM - 2:30 PM ET

KEYNOTE ADDRESS: Innovations in Deep Learning Neural Networks to Improve AI Automation and Operational Efficiency

With the development of advanced Embedding theories, Deep Learning Neural Network models have achieved higher and higher model prediction accuracy than ever before. As a result, improved Deep Learning Neural Network models begin to find more and more important applications in AI Automation to improve operational efficiency and reduce costs for most companies.

In this discussion, James Mou, PhD., explores the potential of speech recognition models to convert voice data to text and extract useful information for predictive modeling and other business use cases.

You’ll Learn:

  • How NLP models can use Key-Value Pairing Information Retrieving techniques to extract useful information from text
  • How speech recognition models combined with NLP/NLU models can be used for a variety of applications to support calling center, customer service, and customer survey voice data analysis for AI Automation
  • How computer vision models combined with NLP models can be used for Image-to-Text to implement AI Automation to eliminate human manual reviewing and increase efficiency

James Mou, Ph.D.Director of Data Science/Principal AI Machine Learning Research Scientist UnitedHealth Group

2:35 PM - 3:20 PM ET

PANEL DISCUSSION: Intelligent Automation of AI for Enterprise Impact

The future of the workplace is automated. AI specialists have a larger role in the IT world than ever before as business leaders are incorporating machine learning solutions into every angle the business.

Operationalizing AI strategies can lead to accelerated growth for an organization if executed properly. In this discussion, AI experts share their strategies to fast-track machine learning technology model deployment to increase productivity and performance within their organization.

You’ll Learn:

  • How to deploy AI solutions responsibly with tactful planning and execution of machine learning technology
  • Learn how to communicate the business case for AI solutions to various stakeholders and key decision makers
  • Analyze how to identify risk in machine learning technology to reduce bias before impact


Sanjeev KumarVice President, Artificial Intelligence, Data, & AnalyticsHMS


Rohit Dalal Executive Director, Data Science & AnalyticsThe Estée Lauder Companies Inc.

Vijayant KumarVice President of Product: Machine Learning & AIOptum

Prasad SaripalliAdjunct Faculty MemberNortheastern University


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Dr. Nels is a clinical systems IT director at a fortune 5 company (CVS Health), the author of Graduation with Civic Honors, an avid writer, tech chaser, sports card collector, and a major TensorFlow enthusiast. You can find on Twitter @nelslindahl or LinkedIn and you can subscribe to my Substack newsletter I publish it every Friday