A Data Lake allows you to store massive amounts of data in its original form, without the need to enforce a predefined schema, enabling a far more agile and flexible architecture, which makes it easier to gain new types of analytical insights from your data. In this conversation with you we will show you how enterprises can start building their Machine Learning Capabilities using Data Lakes.

At this event, you will learn about:

  • Data Lake implementation considerations
  • Learn how AWS can help enable a Data Lake architecture
  • Understand some of the key architectural considerations when building a Data Lake
  • An Introduction to AWS AI and Machine Learning Platform
  • How Enterprises can start building their Machine Learning Capabilities, AI and Machine Learning Services

When: Thursday, March 22nd 2018, 11:00 A.M -1:00 P.M CST

Where: Top of the Tower 534 South Kansas Avenue, #1430 Topeka KS 66603

Who should attend:

Enterprise Architects, Cloud Architects, Big Data, Machine Learning and AI Practice heads, CIO, CTO, Senior Technical Managers, Business Owners, Marketing, Finance, Sales and executive leaders


Nitin Tyagi, Vice President, Enterprise Solutions, Cambridge Technology, Inc.
Peter Buckley, Vice President Sales, Cambridge Technology, Inc.