Dallas, TX – November 15, 2017

Big Data in the Big D, where Everything’s Bigger

We love Dallas, heck, we love Texas!

We’re excited about doing our first event in the ninth largest city in the country, and in the seventh largest metro area (Dallas-Fort Worth-Arlington) in the country.

Rated as a “beta plus” world city, Dallas is a leader in entrepreneurship, innovation and tech. Other “beta plus” world cities include Boston, Prague, Munich, Rome, Cairo, Bangalore, Oslo, Atlanta, Houston, and more.

Home to 21 Fortune 500 companies, Dallas is a hotspot for disruption, especially in augmented reality, robotics and artificial intelligence.

Makes sense that this is the city where the integrated circuit computer chip (later became the microchip) was invented almost 60 years ago.

Join us at this event to meet some local and national market leading organizations in Big Data, Analytics & Artificial Intelligence.



6:00 – 6:30 pm – Network Reception – Open Bar & Hors d’oeuvres

6:30 – 6:35 pm – Welcoming Ceremony

6:35 – 7:10 pm – Big Data Architecture – Nutanix

7:10 – 7:50 pm – Panel Discussion – Data Science Platforms

7:55 – 8:25 pm – Big Data Architecture – CB Technologies

8:30 – 8:55 pm – Machine Learning: A Comprehensive Look

8:55 – 9:00 pm – Closing Ceremony – Prizes & Giveaways


Le Meridien Dallas, The Stoneleigh, 2927 Maple Avenue, Dallas, TX 75201 – 11th Floor, The Music Room & The Library

6:00 – 6:30 pm – Network Reception

Join us for our Network Reception complete with Open Bar & Hors d’oeuvres to begin the event.

Enjoy the food and your favorite adult beverage while you meet our sponsors, presenters, panel members and other professionals like yourself with an interest in Analytics, Artificial Intelligence and Big Data.




6:35 – 7:10 pm – Big Data Architecture – Nutanix

One of the core concepts of Hadoop was always bringing the compute processes to the data.

Public cloud environments promise scale without hardware management but compromise this principle by separating compute from data as well as requiring almost constant data migration and re-architecture.

The rate of Big Data advancements in frameworks, software and toolsets, leveraging additional ways of accessing data and building data pipelines, can yield more innovation given the accessibility and paired scalability of compute and storage.

This presentation focuses on how Nutanix is an essential platform for distributed throughput and optimization of Hadoop workloads, bringing the core concepts of cloud to the data, instead of forcing companies to move all of their data to the cloud.


What is Hyperconverged Infrastructure?

Gartner Positions Nutanix in the Leaders Quadrant of the Magic Quadrant for Integrated Systems


Nutanix makes infrastructure invisible, elevating IT to focus on the applications and services that power their business.

The Nutanix enterprise cloud platform leverages web-scale engineering and consumer-grade design to natively converge compute, virtualization and storage into a resilient, software-defined solution with rich machine intelligence.


Predictable performance, cloud-like infrastructure consumption, robust security, and seamless application mobility for a broad range of enterprise applications.

7:10 – 7:50 pm – Panel Discussion – Data Science Platforms

Our Panel Discussion features Panel Members sharing their knowledge, experience and use cases and then a very interactive, lively Q&A session with the audience.

Panel Members:

  • Craig Parker, Vice President, Chief Digital Architect, HCL Technologies
  • Jeff Chowaniec, Pre-Sales Engineer, RapidMiner
  • Steve Cobb, Southwest Region Business Development, CB Technologies
  • Panel Member TBD, Nutanix


7:55 – 8:25 pm – Big Data Architecture – CB Technologies

A basic snapshot of the trends in technology today are enough to understand why the opportunities and challenges presented by Big Data are well… BIG.

  • 80% of IT efforts today are focused on maintaining existing IT infrastructure and business processes
  • Every 2 years technology changes and capabilities double
  • Data growth is forecast between 20-30% a year. Where IT budgets increase about 4% annually
  • Real Time Data Capture, IOT, third party data sources and Speed of Access & Evaluation

Combine these with considerations and requirements around Security & Governance as well as both Opportunities and Competitive Threats makes Big Data Architecture a vital area to every business.

Taking a look at the big picture can be a good way to adjust your view and help you develop a path forward. This presentation gives an overview of Big Data Architecture today from Hardware, Database, Software, Tools and Visualization and shares some success stories regarding how the biggest names in technology today have performed and succeeded with their Big Data Architecture.

CBT specializes in designing and implementing the most innovative, customizable IT solutions to solve your unique business challenges.

CBT boasts one of the most robust engineering teams in the industry, with certified experts in hardware, software and custom solutions.


CB Technologies named CRN Triple Crown Award Winner

8:30 – 8:55 pm – Machine Learning: A Comprehensive Look

Presentation Agenda

  • Machine Learning – Why so popular now?
  • 3 Important Trends – We can all be Data Companies
  • Use Cases – What’s driving Machine Learning
  • Machine Learning Technologies
  • Getting Started in Machine Learning

Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed, a method of data analysis that automates analytical model building.

Machine learning focuses on the development of computer programs that can change when exposed to new data, using algorithms that iteratively learn from data and allowing computers to find hidden insights without being explicitly programmed w where to look.

An important breakthrough in Machine Learning was the realization, credited to Arthur Samuel in 1959, that rather than teaching computers everything they need to know about the world and how to carry out tasks, it might be possible to teach them to learn for themselves.

Drawing a Distinction – Artificial Intelligence (AI) and Machine Learning

AI is the broader concept of machines being able to carry out tasks in a way that we would consider “smart”.

Machine Learning is a current application of AI based around the idea that we should really just be able to give machines access to data and let them learn for themselves.

What is the difference between Machine Learning and Artificial Intelligence? Bernard Marr, Forbes Magazine, December 6, 2016

Panel Member

Jeff Chowaniec, RapidMiner

My objective is to apply my scientific and mathematical problem solving to technology based industry to help further innovation and discovery. I am a well rounded physicist and can be molded and specialized to fit particular roles within an engineering, research, or technology team.

Computer Skills:

Mathematical Knowledge:
Differential Calculus
Vector Calculus
Tensor Calculus
Systems of Differential Equations
Mathematical Modeling of Differential Systems



RapidMiner builds software for real data science, fast and simple. We make data science teams more productive through a lightning fast platform that unifies data prep, machine learning, and predictive model deployment. More than 250,000 users in over 150 countries use RapidMiner products to drive revenue, reduce costs, and avoid risks.

Our award winning products have been ranked by leading industry analysts as a consistent leader in Gartner’s Magic Quadrant for Data Science platforms, as well as in Forrester’s Wave for Predictive Analytics and Machine Learning.  Peer review sites like KD Nuggets and Gartner Peer Reviews also demonstrate that RapidMiner is the most popular general data science and machine learning platform out there, consistently beating out the competition in every category.

For more information or to download a free trial, please visit us at

Panel Member

Craig Parker, HCL Technologies

As Vice President & Chief Digital Architect at HCL, Craig serves as a Digital Transformational Leader, leveraging his extensive experience in both packaged and custom applications software development, mobile strategy and UX design, cloud technologies and integration, ERP implementation and support, and data analytics.

His strong technical background is complemented with deep business process knowledge in multiple industries, problem solving skills including Design Thinking fundamentals, project/program management, and business development combined with superior leadership ability.

Previous to HCL, Craig held leadership positions at GE, Hewlett Packard, Genband, Dresser, Mohawk Industries and Valtech.

Craig received a Bachelor of Business Administration (B.B.A.), MIS from Southern Methodist University.


HCL Technologies

HCL Technologies helps global enterprises reimagine their businesses for the digital age. Through innovative technology solutions built around Digital, IoT, Cloud, Automation, Cybersecurity, Analytics, Infrastructure Management and Engineering Services, amongst others, we solve complex business problems for our clients.

We are a ‘next-generation’ technology firm, driven by a unique Mode 1-2-3 strategy that not only acts as our roadmap for the future, but also a powerful model for any enterprise looking to thrive in this age of disruption.

7.2 Billion (US) in Revenue, over 140 nationalities operating in 32 countries with 116,000+ employees.

Panel Member

Steve Cobb, CB Technologies

Steve continues to thrive in helping businesses tackle some of the most interesting and challenging business problems leveraging technology and enabling a solution.

Working now with CB Technologies, a Women Owned HPE Platinum Partner we are bringing critical capabilities to our clients in several key areas, Hybrid IT, Asset Intelligence, Analytics & HPC as well as IT Supply Chain Optimization.

At the core of our capabilities is our clear understanding of the value of data to the organization in a volatile business environment.


CBT specializes in designing and implementing the most innovative, customizable IT solutions to solve your unique business challenges.

CBT boasts one of the most robust engineering teams in the industry, with certified experts in hardware, software and custom solutions.


CB Technologies named CRN Triple Crown Award Winner


Help businesses, the community and the planet realize the benefits, value, promise and potential solutions that Big Data & Analytics provide through education and engagement.

We are Big Data & Analytics market leaders dedicated to educating, empowering and engaging communities by hosting events across the United States on all topics regarding Big Data & Analytics.


At our events, partners and other regional, national and international experts on Analytics, Artificial Intelligence and Big Data present the latest content on these exciting subject areas, including ‘How To’, best practices, real world use cases, trends and what the future may bring.