article thumbnail

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

article thumbnail

HPI Event: Artificial Intelligence and Machine Learning for Software Engineering

Seerene

Since Joseph Weizenbaum introduced the dialogue between man and machine with his programme Eliza in 1966, the notion of AI created some initial excitement, experienced a phase of disappointment, and has now gained tremendous momentum. Will AI ultimately come to the state of being able to produce working code that carries business logic?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

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.

article thumbnail

What is digital transformation? A necessary disruption

CIO

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 Software engineers, cloud computing specialists, and digital product managers remain key roles for companies seeking to roll out new products and services.

article thumbnail

LexisNexis rises to the generative AI challenge

CIO

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. But perhaps the biggest benefit has been LexisNexis’ ability to swiftly embrace machine learning and LLMs in its own generative AI applications.

article thumbnail

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. Finally, their results need to be given to the business in an understandable fashion.

article thumbnail

Netflix at AWS re:Invent 2019

Netflix Tech

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. Technology advancements in content creation and consumption have also increased its data footprint. Wednesday?—?December

AWS 40