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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.

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In this presentation Seth Earley discusses:

How to Design Omni-Channel IVAs That Humans Love To Use

During our webinar, "Omni-channel Virtual Assistants - The Next Frontier in Voice and Text for Customer Service guest speaker Chris Featherstone, who leads business development for AI and speech recognition services at Amazon Web Services (AWS) and Seth Earley, CEO of Earley Information Systems (EIS) discussed ways to design omni-channel virtual assistants to optimize their use across voice and text. When supported by an appropriate information architecture and designed with a deep understanding of the customer, virtual assistants can access enterprise knowledge efficiently, saving time and money. The key to success is to structure the underlying information so it can be retrieved and used by any channel, including humans, to deliver the responses that customers need. Here's a recap of the conversation.