Analytics - Big Data, IoT, Machine Learning, AI

Analytics - Big Data, IoT, Machine Learning, AI & Analytics
The latest trends and examples of success.
 Analytics is an encompassing and multidimensional field that uses mathematics, statistics, predictive modeling and machine-learning techniques to find meaningful patterns and knowledge in recorded data. Today, we add powerful computers to the mix for storing increasing amounts of data and running sophisticated software algorithms – producing the fast insights needed to make fact-based decisions. By putting the science of numbers, data and analytical discovery to work, we can find out if what we think or believe is really true. And produce answers to questions we never thought to ask. That’s the power of analytics. Analytics is a widely used term. How do you figure out which analytics is right for your organization? Just like most trips, an analytics destination is a good place to start. Even if it’s the most basic. You have to know where you want to go and what you want to see. And gather what’s needed to get you there.

In today’s analytics journey, you’ve got data. You’ve got computers. What do you do next? The first step is figuring out what problem you are trying to solve or what answers you are seeking. What part of your organization needs improving? What decisions need to be made? What is the goal of your analytics journey?
Topics covered will include:

• The latest technology innovations in this realm to help you produce value from your data
  
• Predictive analytics
• Artificial Intelligence
• Machine Learning
• Examples of predictions

Agenda

8:00 - 8:30 | Registration & Networking

8:30 - 8:45 | Welcome & Introductions

8:45 - 8:55 | Sponsor Profile - Comcast
Rick Huls, Enterprise Account Executive, Comcast
John Markatos, Strategic Enterprise Account Executive, Comcast    

8:55 - 9:45 | Machine Learning: What is it, how it's changing every industry
Gary Coburn, Cloud Engineer, Google   

9:45 - 10:00 | Break

10:00 - 10:45 | Analytics:  Just Dive In
Brian Tol, Solution Architect, SpinDance
    
10:45 - 11:30 | Panel 
Gary Coburn, Cloud Engineer, Google
Brian Tol, Solution Architect, SpinDance
French Williams, IT Manager, Royal Technologies
        
11:30 - 12:00 | Discussion & Lunch  

Map & Parking
Please note the special parking instructions. Parking is free, but you must print a copy of the Special Parking Pass and place in your windshield.

Map to Davenport's Sneden Center