DATAx Summer 2021: Evolving at the Speed of Technology - Argyle Executive Forum Events
May 19 - 20, 2021




DATAx is the ultimate data science event for data practitioners, executive leadership, and allies of a data-first culture. This summer, we invite leaders to explore the trends and advancements in data-driven technology, and to learn how to properly integrate these practices into existing workflows.

Data expert or data ally? This conference is for YOU.  Join us on this immersive two-day journey to explore the potential of data from two perspectives: process improvements for the business decision maker, and a deep dive into trends and techniques for the data practitioner. 


1 Stage | 2 Days | 2 Unique Perspectives | UNLIMITED INSIGHTS


The one-stop data-shop for C-suite leaders! Learn proven processes and identify which technology will help you interpret and maximize data for a competitive business edge.

Attend DATAx – Data for Decision Makers on May 19th to learn: 

  • Ways to extract the most relevant data-driven insights to improve business decisions
  • How to improve the customer experience through data analytics
  • Best practices and tools to integrate data into workflows
  • Expert compliance insights on evolving legal and ethical regulations associated with consumer data protection

The premier conference for leaders who specialize in data science. Experts of industry will congregate to engage, learn, and network with their peers in the data world.

 Attend DATAx – Data for Disrupters on May 20th to learn: 

  • How to stay on top of emerging technology and process efficiencies in data science
  • Communication strategies to interpret data driven insights effectively for decision makers
  • Best practices for modernizing edge analytics and IoT into the data infrastructure
  • How to use AI effectively to optimize predictive modeling and analysis

Who Should Attend

Data for Decision Makers features an ideal agenda for CEO’s, CFO’s, CDO’s, COO’s, CIO’s, CTO’s, and other leaders that are looking to find ways to streamline their data-driven insights to advance their workforce into Industry 4.0.

Data for Disrupters is the premier event for CDO’s, CIO’s, Senior Data Scientists, Senior Data Analysts, Head of Data Solutions, Head of Data Governance, Senior Data Engineers, Senior Data Architects, Data Storytellers, BI Analysts, AI/Machine Learning Specialists, and MORE.









11 AM - 11:30 AM ET

KEYNOTE ADDRESS: The Data Advantage: Harness the Power of Data to Gain an Edge Over Your Competitors

It is no secret that companies that use data to drive business decisions are achieving greater success. Business leaders who embed a data-first culture into their organization see a stronger return on their investments, enabling them to stay a step ahead of their competitors.

How can businesses use data to their greatest advantage?

Attend this session to learn:

  • How to build a data infrastructure that fits the needs of your business: analyzing the right talent and resources needed for success
  • Why you should prioritize data literacy as a key skillset for leadership in a data-driven culture
  • Strategize to use AI for future success – how data analytics can be used to drive profitable growth

Deepak JoseHead of Business Strategy and Advanced Analytics Mars

11:35 AM - 12:05 PM ET

THOUGHT LEADERSHIP: The Three Pillars of Effective Business Intelligence Governance

Business Intelligence governance is an intimidating task for most large enterprises. Users have access to multiple tools and content, and establishing a uniform layer of governance on top of a heterogeneous environment is a daunting task. However, governance is critical, and the lack of proper governance leads to poor user engagement and low ROI from BI Investments.

In this session Metric Insights leaders Marius Moscovici, CEO, and Mike Smitheman, VP Sales & Marketing, will convene to explore the processes and technology that can be used to establish and maintain an effective governance layer across BI tools and assets.

Tune in and discover the three pillars required for effective BI governance:

  • Information Access & Discoverability
  • Content, License, and Staffing Optimization
  • Trust Framework


Marius MocoviciCEOMetric Insights

Mike Smitheman VP Sales & Marketing Metric Insights

12:10 PM - 12:55 PM ET

PANEL DISCUSSION: Bringing Up AI: Increase Success of Automated Technology with Tactful Planning and Execution of Artificial Intelligence

Artificial intelligence is a powerful tool. Businesses everywhere are investing in AI to boost revenue and productivity, but businesses often see failure in the deployment of machine learning technology due of lack of preparation.

Join experts specializing in artificial intelligence to discover how to craft a successful AI campaign that works for your organization.

Attend this session to learn:

  • How to plan your AI execution strategy – determine what initiatives need to take place before you deploy technology
  • Ways to identify where there is a need for AI technology to impact day-to-day business operations and to identify future areas for business growth
  • How to install the right talent and resources to use AI to achieve business goals
  • Ethical guidelines to consider when defining your AI strategy


Nechama KatanDirector Data Science LeadPfizer


Michelle BonatHead of AI Innovation, DigitalJPMorgan Chase & Co.

Jai PrakashHead of Analytics & Automation Reckitt

Danny SiegelVice President, Information DeliveryNewell Brands

1 PM - 1:30 PM ET

THOUGHT LEADERSHIP: New Data Needs New Tools: Why Better Data is Not Enough to Answer Your Business Questions

While data quality and analytics approaches have improved, they still just explain an isolated past. Populating traditional analytics with existing data is like pouring new wine into old wineskins. Now, there is more sustainable solution: populating a digital twin of your market.

In this session, Greg Silverman, CEO & Founder, Concentric, reveals how digital twins can better explain the past, produce more accurate forecasts, and discover how to grow your business with more sophisticated analysis.

What you’ll learn: 

  • How digital twins can interpret data in a more meaningful and effective way to business stakeholders
  • How predictive analysis and simulation forecasts can improve competitive intelligence
  • An in-depth scenario of how a leading video streaming company used a digital twin to turn data-insights into action

Greg SilvermanChief Executive Officer & FounderConcentric

1:30 PM - 2 PM ET


2 PM - 2:30 PM ET

KEYNOTE ADDRESS: The New Hero of Big Data Analytics - The Chief Data Officer

Why is a data-driven culture important to fuel business growth? The fundamental core business requires data science, analytics, and machine learning solutions to lay the groundwork for an effective data-drive culture.

Join Chief Data Scientist, Dr. Ganapathi Pulipaka, to understand why it is important to develop centers of excellence to accelerate product innovation and to drive business growth.

Attend this session to learn:

  • The business case to develop centers of excellence for big data analytics, machine learning, and deep learning to unleash the potential of a data-driven culture, the value of CDO’s role in reality
  • How an analytics driven mindset can stimulate a high-growth corporation
  • How to use machine learning and deep learning initiatives to enhance product innovation

Dr. Ganapathi PulipakaChief Data Scientist, SAP Technical LeadAccenture

2:35 PM - 3:20 PM ET

PANEL DISCUSSION: Improving the Customer Experience with Data-Driven Insights

Profitable businesses everywhere can all agree on one thing: success always requires putting the customer first. Data mastery of consumer insights is the key to improving your customer success scores.

Join leaders who specialize in analyzing consumer data to learn how you can effectively leverage data-driven insights to improve the customer experience and increase revenue across the board.

Attend this session to learn:

  • Key initiatives to incorporate data into sales & marketing strategies to properly design the customer experience
  • Why data is the key partner to supporting customers through an omnichannel experience
  • How to use predictive modeling to understand future customer behavior to keep up with increased consumer demand


Amit AgrawalSenior Director, Enterprise Data & AnalyticsAltisource


Ian DewarGlobal Analytics Director: Consumer and LoyaltyVF Corporation

Ali Shirvani-Mahdavi, Ph.DVP, Consumer Analytics and ConsultingOptum

Allen ThompsonVP Data & Analytics The Hanover Insurance Group








11 AM - 11:30 AM ET

KEYNOTE ADDRESS: Modernizing Data Management in Disruption

Achieving data trust can only be accomplished through accountability. The modern data infrastructure is complex. Often organizations are struggling to manage data from a hybrid cloud perspective. To complicate the issue, as technology and threat landscapes evolve, data becomes harder to safeguard and manage.

In this session, we will explore how to modernize your data management infrastructure in a way that is cost-effective and able to evolve with shifting business demands.

Attend this session to learn:

  • How to develop a data management infrastructure that works for your business
  • How to train data teams to lead by innovation, to maintain data on various aspects of hybrid cloud and on-prem environments
  • Why it is important to identify and prioritize data assets in your data management strategy

Arvind JoshiDirector - Data Management LeadScotiabank

11:35 AM - 12:05 PM ET

THOUGHT LEADERSHIP: Accelerating your Data Factory with a Data Fabric

Legacy data platforms are insufficient for the age of disruption. According to MIT-CISR, 51% of orgs have their data in silos and another 21% in duct tape & band-aids. A new approach is needed. Gartner has defined data fabric as a unified data platform supported by DataOps. These approaches accelerate the time to clean, complete, trustworthy, & secure data.

In this session, Myles Suer, Principal Data Product Marketing Manager & Sean Keenan, Director of Data Product Management, Boomi share the data issues that make legacy data platforms insufficient, and steps that can be taken to improve data management.


Sean Keenan Director of Data Product ManagementBoomi

Myles SuerHead, Global Enterprise MarketingBoomi

12:10 PM - 12:55 PM ET

PANEL DISCUSSION: Edge Analytics and The New Normal - A Deep Dive Into the Business Case for IoT

The potential for edge analytics in a decentralized world is enormous. Data practitioners need an ability to integrate edge analytics into their data infrastructure to improve business intelligence while reducing storage and overhead costs.

In this session, we bring together experts specializing in edge analytics to break down the benefits and potential pitfalls of integrating real-time analysis into your analytics framework.

Attend this session to learn:

  • How to apply insights from IoT devices to influence business intelligence, and scale at a more rapid rate
  • How to leverage edge analytics to increase the efficiency of AI implementation
  • Strategies to extract relevant data to reduce noise in data collected by IoT devices
  • Understanding the business case of IoT and how to appropriately portray the value of technology to decision makers


Anoop Mohan Managing Director, Cloud ProductsRockwell Automation


Philip Black Global Emerging Solutions Lead, Digital and TechnologyWood

Mark CusackChief Technology OfficerYellowbrick

Vijay Raghavan Former GM IoT & Emerging SolutionsMotorola Solutions

Anurag Voleti Head of Data, Data Platforms and Data SolutionsBoston Scientific

1 PM - 2 PM ET


2 PM - 2:30 PM ET

KEYNOTE ADDRESS: Beyond the Buzzwords – Using Big Data to Guide Your Business Through Digital Transformation

Disruptive technology is changing how enterprises perform even their most basic functions. Individual innovations in AI to Blockchain and from AR/VR to RPA are garnering the attention of executives everywhere. But how can one utilize these disparate technologies together to drive a coherent digital transformation across different industries?

In this exclusive session, Dr. Rajesh T. Krishnamachari, Global Head of Data Science at Bank of America Merrill Lynch, offers new insight into how companies should strategize as they seek to use disruptive technology to maximum advantage.

Attend this session to learn:

  • Why big data is a critical portion of the digital transformation for nearly every enterprise
  • How disruptive technology can lead to hyper-growth in various industry sectors
  • How to educate your team to ensure a continuous digital evolution as well as a rapid adoption of new technology

Rajesh T. Krishnamachari, PhDGlobal Head of Data Science & Managing DirectorBank of America

2:35 PM - 3:20 PM ET

PANEL DISCUSSION: Language Arts – Crafting Effective Techniques to Advance NLP

One of the biggest advancements in data science in recent years is natural language processing. NLP has a major impact on analysis, efficiency, and operations to enhance natural conversations between humans and machines. What is the potential of this technology to improve the consumer experience and accelerate business transformation?

In this panel discussion, AI experts that specialize in NLP will share insights and use cases about what makes these machine learning models effective, and how NLP innovation will continue to evolve.

Attend this session to learn:

  • How NLP has been useful in improving the customization of the consumer experience while reducing overhead costs
  • Analyzing the impact of using deep learning to build automated systems to improve human and machine communication
  • Discover the potential of NLP beyond text and image-based applications


Liora Guy David, PhDSVP NLP & Data Science GroupCiti


Jodi BlombergSenior Director, Data ScienceWaste Management

Dr. Nels LindahlDirector, Clinical Decision SystemsCVS Health

Vikrant RajputDirector of Information Technology & AnalyticsAnsell Healthcare

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