Days


Tracks

Tuesday, February 07, 2017
Wednesday, February 08, 2017
9:00-9:55am
Wednesday - 2/08/17
IoT IT - BI and Machine Learning (Grand D)
Connected Support in the Connected World
BIML-01
TechPar Group
iDevices
EVRYTHING
Every provider of a product or service understands the critical role of post-sale support, but what’s less well understood is how dramatically the nature of that support has shifted when it comes to the IoT. It ain’t the same ol’, same ol’, and it’s no longer about sitting by the phone waiting for something to break and then fixing it This distinguished group of panelists will tackle tough questions about supporting the Internet of Things, such as: How do you seamlessly support both customers and field operations? What’s the role of self-support in the connected world? How does the IoT make it easier to use “contextual intelligence” in supporting customers? How are concerns about privacy and security likely to impact our ability to connect to a customer’s devices and systems?
  Connected Building and Cities
  Connected Transport/Connected Industry
  Industrial IoT
  IoT Developers
  IoT Enterprise Operations
  IoT IT - BI and Machine Learning
10:00-10:55am
Wednesday - 2/08/17
IoT IT - BI and Machine Learning (Grand D)
The IoT ROI for Big Data
BIML-02
Tellient
With all these sensors out in the real world, the data repositories are getting quite large. The result is that Big Data has tremendous volumes of information, but does having the information equate to using the knowledge? This session gets into the issues associated with using the IoT information beyond the monitoring for business intelligence and direct impact on the bottom line.
  Connected Building and Cities
  Connected Transport/Connected Industry
  Industrial IoT
  IoT Developers
  IoT Enterprise Operations
  IoT IT - BI and Machine Learning
11:00-11:55am
Wednesday - 2/08/17
IoT IT - BI and Machine Learning (Grand D)
Predictive and Prescriptive Analytics
BIML-03
Machina Research
OnProcess Technology
DMI
At a simple level, predictive analytics tells us what to expect, while prescriptive tells us how to manage it. How do IoT information streams tell us about the trends of our machinery? How much data is needed for analytic systems to spot trends? If trends can be spotted, can analytics data make it so that IoT failure rate is minimized? How can analytics add to the availability of systems?
  Connected Building and Cities
  Connected Transport/Connected Industry
  Industrial IoT
  IoT Developers
  IoT Enterprise Operations
  IoT IT - BI and Machine Learning
Thursday, February 09, 2017
Friday, February 10, 2017
9:00-9:50am
Friday - 2/10/17
IoT IT - BI and Machine Learning (Grand D)
Machine Learning and the Cloud
BIML-08
Tandem Running
Value Amplify Consulting
Where do we deploy machine learning and what software and cloud services are out there to support it? What are the trends in deploying these systems and what are the benefits for IT? This session looks at case studies and lessons learned in deploying Machine Learning for IoT specifically.
  Connected Building and Cities
  IoT Developers
  IoT Enterprise Operations
  IoT IT - BI and Machine Learning
10:00-10:50am
Friday - 2/10/17
IoT IT - BI and Machine Learning (Grand D)
Survey Says: Analytics Rules
BIML-09
James Brehm & Associates
James Brehm & Associates and IoT Evolution have gathered the results of a detailed survey regarding analytics. This session will discuss the survey results and will explore the current use of IoT analytics in the enterprise.
  Connected Building and Cities
  IoT Developers
  IoT Enterprise Operations
  IoT IT - BI and Machine Learning

 

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