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The Transformational Imperative of IoT

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As more “things” are connected in the Internet of Things, the data they generate grows exponentially. When getting started with the IoT and IoT analytics, business and IT leaders must quickly gain competitive advantage while proving long-term business value.

Originally published by PTC

As more “things” are connected in the Internet of Things, the data they generate grows exponentially. Locked within the data is business intelligence that, if read, applied, and delivered in a way that’s easy to understand, can provide actionable insight. When getting started with the IoT and IoT analytics, business and IT leaders must quickly gain competitive advantage while proving long-term business value. Finding the right starting point is a challenge, and in order to gain support to expand past a strategic experiment, it’s imperative to show strong business value.

During LiveWorx, we sat down with Kalypso, a PTC ServiceAdvantage and ThingWorx partner, to understand how they leverage the ThingWorx platform, machine learning, and augmented reality in our series “Partner Voices on IoT.”

Companies are in various stages of taking advantage of emerging technologies such as IoT, cloud computing and big data to gain new insights and provide compelling new products and services. Chad Markle, partner and Digital Practice lead at Kalypso, articulated his experience with clients: “Of all these new technologies, big data may prove to be the one with the broadest impact on the largest number of companies. There is no one-size-fits-all technology – different kinds of big data problems require different kinds of solutions, and in most cases a mixture of solutions is required.”


 

Additional Resources

The IoT, AI, and Machine Learning: Changing Work, Changing Lives
WATCH THE VIDEO

The Transformational Imperative of IoT Analytics 
WATCH THE VIDEO

Practical IoT: Applying Machine Learning to Predictive Maintenance
WATCH THE VIDEO

Original post on PTC Web site

Originally published on September 21st, 2016

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Topics: Advanced Information Access, Analytics, digital innovation, digital technology, IoT, machine learning, machine to machine, PTC, Strategy

About the Authors

Chad Markle

Chad Markle

Chad has over 25 years of experience working as an executive and advisor at Fortune 1000 companies to deliver results by combining strategic thinking with the transformative business impact of technology.
More Viewpoints by Chad Markle

Melissa DiEgidio

Melissa DiEgidio

Specializing in Internet of Things technology, Melissa is Marketing Program Manager for PTC based in Exton, PA. With extensive experience in marketing, communications, sales enablement, she is enthusiastic about new innovative technologies.
More Viewpoints by Melissa DiEgidio

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