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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. But we have to bring in the right talent. more than 3,000 of themâ??that

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HPI Event: Artificial Intelligence and Machine Learning for Software Engineering

Seerene

Jürgen Döllner When we evolve the matter of intelligence, we also expand the possibility of reaching beyond our human limits. As might be expected, researchers and software engineering pioneers have begun to harvest the potential of Artificial Intelligence to fundamentally change how software development will work in the future.

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Next Best Action Marketing: How to Implement Hyper-Personalization with Machine Learning

Altexsoft

In this article, we’ll discuss what the next best action strategy is and how businesses define the next best action using machine learning-based recommender systems. You can choose from two approaches to enabling the next best action: rule-based or machine learning-based recommendations. Rule-based recommendations.

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What is digital transformation? A necessary disruption

CIO

And it continues at a rapid clip post-pandemic as artificial intelligence and immersive web technologies bring promises of new opportunities and disruptions. They must then develop and deliver the supporting digital capabilities in an agile fashion with incremental releases and feature adjustments based on user feedback. “A

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LexisNexis rises to the generative AI challenge

CIO

We will pick the optimal LLM. We’ll take the optimal model to answer the question that the customer asks.” The company migrated much of the data in a lift-and-shift fashion from the mainframe to those open systems, while adding proprietary search capabilities, as well as indexing and automation. We use AWS and Azure.

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Data engineers vs. data scientists

O'Reilly Media - Data

On the extreme end of this applied math, they’re creating machine learning models and artificial intelligence. Just like their software engineering counterparts, data scientists will have to interact with the business side. A data scientist can create a data pipeline after a fashion.

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Expectations vs. reality: A real-world check on generative AI

CIO

Gen AI takes us from single-use models of machine learning (ML) to AI tools that promise to be a platform with uses in many areas, but you still need to validate they’re appropriate for the problems you want solved, and that your users know how to use gen AI effectively.