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Mining Business Insights with Big Data Analytics and the Internet of Things

Recorded - available as on demand webcast

With the Internet of Things, distributed intelligence will allow for automated replenishment which will change the nature of the supply chain and require companies to add new services in order to stay relevant. Value will be less in the physical nature of products and more in configured functionality.  Systems will be optimized and processes will become more autonomous.  Data exhaust from product interactions will become the source of value for businesses that have relied on revenue from commodity goods in the past. Optimization of multi-vendor ecosystems of sensors and equipment will provide new sources of value and efficiency.  Understanding, interpreting and leveraging data that drives these processes and that are emitted by devices and systems of devices will be an enormous challenge for enterprises that are struggling to deal with the current deluge of information. Our panel of experts will discuss challenges facing enterprises and how mitigate risks. 

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Seth Earley
Seth Earley
Seth Earley is the Founder & CEO of Earley Information Science and the author of the award winning book The AI-Powered Enterprise: Harness the Power of Ontologies to Make Your Business Smarter, Faster, and More Profitable. An expert with 20+ years experience in Knowledge Strategy, Data and Information Architecture, Search-based Applications and Information Findability solutions. He has worked with a diverse roster of Fortune 1000 companies helping them to achieve higher levels of operating performance.

Recent Posts

Designing AI Programs for Success - a 4 Part Series

Recorded - available as on demand webcast AI is plagued by inflated and unrealistic expectations due to a lack of broad understanding of this wide-ranging space by software vendors and customers. Software tools can be extremely powerful, however the services, infrastructure, data quality, architecture, talent and methodologies to fully deploy in the enterprise are frequently lacking. This four-part series by Earley Information Science and Pandata will explore a number of issues that continue to afflict AI projects and reduce the likelihood of success. The sessions will provide actionable steps using proven processes to improve AI program outcomes.

The Missing Ingredient to Digital Transformation: Scaling Knowledge Communities and Processes

The holy grail of digital transformation is the seemingly conflicting goals of high levels of customer service and pressure to reduce costs. “Digital Transformation” has become an all-encompassing term – in a piece in this column about customer data platforms, I asked whether the term has lost its meaning: The phrase “digital transformation” can mean anything and everything — tools, technology, business processes, customer experience, or artificial intelligence, and every buzzword that marketers can come up with. Definitions from analysts and vendors include IT modernization and putting services online; developing new business models; taking a “digital first” approach; and creating new business processes, and customer experiences. The overarching objective of a digital transformation program is to improve end-to-end efficiencies, remove friction from information flows, and create new value streams that differentiate a company’s offerings and strengthen the customer relationship. Having assisted large global enterprises with building the data architecture, supporting processes, and governance for multiple digital transformations, in my experience, there are two broad classes of initiatives that seem to get funding and others that miss the boat in terms of time, attention, and resources.

4 Reasons B2B Manufacturers need Strong Product Data

There are many manufacturers who have started to take the leap forward in the digital space, but there are still a great number who rely solely on their distributors to manage their product data. We are going to look at 4 key reasons why its so important that manufacturers own their product and dedicate the time and resources to build it out.