Joe Barkai

There’s no escape from the onslaught of relentless calls to leverage Internet of Things technology to establish enterprise connectivity and embark on a digital transformation journey. And business consultants and software vendors alike offer rosy depictions of the digitally-connect enterprise of tomorrow.

But as technology forecaster Paul Saffo astutely observed, one should not mistake a clear view for a short distance. Many product organizations are still quite leery about their ability to reap the promised fruits of the digital transformation.

In his keynote, Joe will discuss both business and technical motivation for product organizations to exploit enterprise connectivity enabled by the Internet of Things. Using the Outcome Economy as a business model, the presentation will highlight concepts, use cases, and what this inevitable transformation means for product designers.

While the Internet of Things serves a pivotal role in accelerating product innovation and optimizing product lifecycle processes, it also demands business and digital harmonization at levels most organizations are unfamiliar with. Joe’s point of view and guidance will help product organization charter these unfamiliar waters and establish a processes model to improve innovation and product lifecycle activities.

Joe Barkai is a consultant, speaker, author and blogger, charting market strategies for a connected world: Internet of Things, connected cars, innovation and product lifecycle.

Joe has more than 30 years of experience in helping organizations chart their product and market strategy. His background at the union of business and technology with hundreds of organizations across diverse industries, provides a unique ability to “connect the dots” and clearly articulate the always-evolving business value of technology. Joe’s focus is on researching, forecasting and the strategic application of industrial Internet of Things (IoT) technology and the union between IoT, Product Lifecycle Management (PLM), Service Lifecycle Management (SLM), Application Lifecycle Management (ALM), and equipment diagnostics and prognostics methods.

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