The emerging Industrial Internet of Things is giving rise to what is predicted to be a sweeping change that will fundamentally transform industries and reconfigure the technology landscape. Sensor data is expected to dwarf the data volumes that defined the first decade of big data, and leading companies will be those that effectively derive value from this next wave of information and opportunity. Yet, the challenges for enterprises remain formidable. The information required to enable breakthrough insights is typically fragmented within the domains of information technology (IT) and operational technology (OT), requiring both technical and cultural changes. Further, organizations are realizing that analytics on sensor data is vastly more diverse and complex than analyzing traditional big datasets like weblogs. Cheryl Wiebe explores how leading companies harness the IoT by putting IoT data in context, fostering collaboration between IT and OT and enabling a new breed of scalable analytics.
This session is sponsored by Teradata.
Cheryl Wiebe is the Analytics of Things Practice lead for the Advanced Analytics Center of Expertise within Think Big, a Teradata company. The digitalization megatrend has been central to her work over the past 15 years. She has consulted with Global 1000 clients who are embedding and operationalizing analytics at scale into the industrial Internet, smart cities, connected factories, smart grids, and other emerging IoT landscapes. Cheryl collaborates with business and advanced analytics professionals to accelerate their capabilities and professionalize their advanced analytics practices. Her recent projects have focused on clients who are initiating their Internet of Things journey in two areas: how to align business strategy with analytics investments to get started on the road to being competitors in analytics of things and how to build a robust data infrastructure to make sensor data and the many other related data types available at scale to allow analytics of things to be built into industrial analytic applications.
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