Accelerate Your AI Journey


Thank You for Joining Us

A Networking Event for Analytics Professionals

On May 15th, we brought together business analysts, data scientists and business Executives in the Atlanta community at SweetWater Brewing Company to explore how you can transform your business into an AI-driven enterprise.

Gartner states that “By 2020, more than 40% of data science tasks will be automated.” And, “Through 2020, the number of citizen data scientists will grow five times faster than expert data scientists.”

Why wait?  Get enabled today!  We saw how data science skills can be democratized throughout an organization – allowing data scientists to be more productive and enabling business users to function as citizen data scientists and inject AI and machine learning into every key business decision.

Attendees left with the knowledge of how to:

  • Jump-start AI at your organization with a 5 step process
  • Identify use cases to achieve quick wins
  • Access data to enrich your models
  • Implement machine learning models that solve complex business problems and drive real ROI

Unable to attend, or want to continue the conversation? Fill out the form below to schedule a private consultation to discuss the business issues you are trying to solve for.

If you have any questions about this event or the products & services that were presented, feel free to contact Kayla DeFreitas at

See Some Highlights

Meet the Speakers

Greg Bonnette

VP of Strategy & Innovation at Ironside

Greg oversees research and development of comprehensive business analytics solutions designed to solve specific industry, functional, and situational challenges. He leads clients in developing new business use cases for the application of data & analytics, and more specifically data science methods, in support of business decision making. Greg is an active public speaker, frequenting popular industry events from organizers such as Gartner Data & Analytics, TDWI, IBM, MicroStrategy and many others.

Kevin StofanKevin Stofan

Data Scientist at DataRobot

Kevin Stofan is a Customer Facing Data Scientist at DataRobot and an Adjunct Professor at Pennsylvania State University with over 19 years of experience in implementing data analytics solutions. Kevin previously held positions in the DoD and Intel Community and has worked on numerous programs across the government sector. In his role as a Data Scientist with DataRobot, he works with commercial and public sector clients throughout the full customer lifecycle to ensure success with implementing machine learning using DataRobot. DataRobot’s customers include organizations within a wide variety of commercial and public sectors including healthcare, banking, insurance, intelligence, and defense.

Anqi Zou

Group Vice President, Data & Analytics Innovation at SunTrust

Anqi believes that data insights drive business performance. She comes from both technical and business backgrounds, where she discovered her career passion in the overlapping area. She seeks opportunities to create analytical solutions using data and insights to help organizations operate more efficiently, understand performance more accurately, and better enable the decision-making process. Anqi is an active leader in the data & analytics community by serving on boards, mentoring early talents, and public speaking on related topics.

Amelia MartinAmelia Martin

Founder & CEO of Data Science Connect

Amelia Martin is the Founder and Executive Director of Data Science Connect. With a background in predictive analytics, business and community, she has held an extensive range of data and product-oriented roles at organizations spanning from small tech startups to healthcare systems and large corporations. Amelia earned her B.S. from the Georgia Institute of Technology and M.S. in Data Science from Northwestern University. In the community, Martin is a frequent speaker and presenter. She is also the Organizer of Artificial Intelligence ATL and Data Science ATL.

Jennifer PriestleyJennifer Priestley, Ph.D

Associate Dean, Graduate College & Professor of Statistics and Data Science at Kennesaw State University

Jennifer Priestley is the Associate Dean of The Graduate College and the Director of the Analytics and Data Science Institute at Kennesaw State University. She was recognized by the SAS Institute as the 2012 Distinguished Statistics Professor of the Year and regularly speaks at data and analytics conferences, including Data Science ATL and The Atlanta Chief Data Officer Summit. She has authored many published articles on binary classification, sampling and application of statistical methodologies for problem solving, as well as several textbook manuals for Excel, SPSS, SAS and Minitab.

Meet the Sponsors

Ironside was founded in 1999 as an enterprise data and analytics solution provider and system integrator. Our clients hire us to acquire, enrich and measure their data so they can make smarter, better decisions about their business. No matter your industry or specific business challenges, Ironside has the experience, perspective and agility to help transform your analytic environment.

DataRobot offers an automated machine learning platform that empowers users of all skill levels to develop and deploy machine learning and AI faster. Incorporating a library of hundreds of the most powerful open source machine learning algorithms, the DataRobot platform encapsulates every best practice, every safeguard, and every run-time environment to automate data science while maximizing transparency, accuracy, and collaboration, delivering AI applications at scale. They were featured as a ‘Visionary’ in the 2019 Gartner Magic Quadrant for Data Science and Machine Learning Platforms.

pitney bowes

Pitney Bowes (NYSE:PBI) is a global technology company powering billions of transactions – physical and digital – in the connected and borderless world of commerce. Clients around the world, including 90 percent of the Fortune 500, rely on products, solutions, services and data from Pitney Bowes. They are a proven leader in geospatial data with billions of proprietary data points that you can use to enrich your predictive models.

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