DX Summit 2018

EIS will be presenting two programs at DXSummit 2018 in Chicago:


Workshop: Aspiration vs Reality - The Promise and Practice of AI for Personalization
Artificial Intelligence (AI) has the potential to completely revolutionize the ecommerce experience.  However, most organizations are still struggling with harmonizing data standards, streamlining information flows and optimizing upstream processes to improve the customer experience with the tools they have today. AI can enable customer service and sales reps to be significantly more productive and improve the self-service experience; but areas of product on boarding, content optimization, marketing automation and process orchestration have to be improved in order to support this vision. This workshop will demystify AI and show how companies can re-think processes for the product and content lifecycle from initial onboarding to end user experience. Outline how to build the infrastructure to machine-intelligence-enable content to create product associations and personalized experiences not possible without AI. 


Breakout Session: There’s No AI without IA: Information Architecture as a Critical Enabler
Artificial intelligence (AI) is getting lots of attention but one key aspect is often overlooked, understated, or underestimated: the quality of “training” information and the structure of that information – the Information Architecture or “IA”. AI only works when it has the data it needs to spot trends, identify patterns and provide functionality – especially when it comes to chatbots and other so called “cognitive” technologies. While many recent high profile attempts at chatbots have failed, they are getting better and one day will be indispensable. Organizations need to do certain things to prepare for a future of bots and AI-driven processes.  This session will outline what that looks like and how organizations can solve problems today while preparing themselves for a future where businesses will succeed or fail based on the power of their bots.

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Earley Information Science Team

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