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Enhancing customer care through deep machine learning at Travelers

CIO

And we recognized as a company that we needed to start thinking about how we leverage advancements in technology and tremendous amounts of data across our ecosystem, and tie it with machine learning technology and other things advancing the field of analytics. Here are some edited excerpts of that conversation. But whatâ??s

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Is Conversational AI Right for Your Business?

Trigent

With little or no human interaction from the business. As businesses transform digitally, they find that conversational AI options for customer experience (CX) are viable options that must be considered. . Gabby is also in constant learning mode as it trains on customer inputs and queries to improve further.

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What is digital transformation? A necessary disruption

CIO

Digital transformation strategy To succeed with digital transformation, organizations must identify what processes they need to transform, create a vision for their end state, and determine what technologies will support that objective. They’re sitting within the company bubble and not looking outside,” she adds.

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The Year Ahead for BPM -- 2019 Predictions from Top Influencers

BPM

The current Artificial Intelligence (AI) fascination is unfortunately completely biased on Deep Neural Networks (DNN) and Machine Learning (ML) for everything. Explainable AI is a must for automated business decisions. Denis Gagne Trisotech [link]. Regulated and unregulated industries should advance with caution.

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Incremental Processing using Netflix Maestro and Apache Iceberg

Netflix Tech

Data Freshness: provide the support for scheduling workflows in a micro batch fashion (e.g. It serves thousands of users, including data scientists, data engineers, machine learning engineers, software engineers, content producers, and business analysts, in various use cases.

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At AstraZeneca, data and AI are more than game changers – they are life changers

CIO

Our ambition is finding a way to take these amazing capabilities we’ve built in different areas and connect them, using AI and machine learning, to drive huge scale across the ecosystem,” Kaur said. We have reduced the lead time to start a machine learning project from months to hours,” Kaur said. Don’t be afraid to fail.