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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

    [RECORDED] Product Data: Insights for Success - How AI is Automating Product Data Programs

    Artificial Intelligence is changing the way businesses interact with their customers. From hyper-personalized experiences to chatbots built on Large Language Models, AI is driving new investment in digital experiences. That same AI and LLM can also be used to automate your product data program. From data onboarding and validation to generating descriptions and validating images, AI can help generate content faster and at a higher quality level to improve product findability, search, and conversion rates. In our second webinar in the Product Data Mastery series, we’re speaking with Madhu Konety from IceCream Labs to show exactly how AI and product data can work together for your business.

    AI’s Value for Product Data Programs

    By Dan O'Connor, Director of Product Data, Earley Information Science

    The Critical Role of Content Architecture in Generative AI

    What is Generative AI? Generative AI has caught fire in the industry – almost every tech vendor has a ChatGPT-like offering (or claims to have one). They are claiming to use the same technology – a large language model (LLM) (actually there are many Large Language Models both open source and proprietary fine-tuned for various industries and purposes) to access and organize content knowledge of the enterprise. As with previous new technologies, LLMs are getting hyped. But what is generative AI?