The 2nd annual (data) Science Fair is coming up on May 23rd, 2019 and we’re excited to bring a series of innovative new projects back to Marshall’s Landing at the Merchandise Mart. If you aren’t familiar with this event, here are some of the details about this modern spin on the classic Science Fair.
What is the (data) Science Fair?
As a technology consulting company, Aptitive works closely with organizations to build solutions for common business challenges and goals. The (data) Science Fair was created to showcase how a solid data strategy and the right tools can be used to reach business goals from decreased risk to increased sales.
Additionally, we’ve invited some of our technology partners such as Microsoft, Snowflake, DataRobot, and Qlik to show off innovative applications of their tools.
What to expect that evening
The (data) Science Fair is not a typical networking event or tradeshow. The venue, Marshall’s Landing in the iconic Merchandise Mart, is a unique space overlooking the Chicago river. This one-of-a-kind environment is the perfect home for this one-of-a-kind event.
As you stroll through the event, you’ll be able to interact with the projects, learn about the technologies used to build them, and enjoy premium food and drinks. We’ll even have opportunities to win prizes throughout the event.
No sales pitches or boring presentations here, just come and explore!
Who should attend?
This event has a little something for everyone. For the technology focused attendees, you’ll have the chance to learn about some of the most innovative tools in the data, analytics, and machine learning space. For the more business focused attendees, you’ll see the big picture of how these tools are used to solve business objectives you likely face.
Whether you’re a data analyst or a CEO, you’ll enjoy this event and are guaranteed to leave feeling inspired.
Jake Skwarcan is a Data Management and Analytics Consultant at Aptitive. In his role, Jake enables companies to discover insights and access the information held by their data.