Corinium

JUNE 6, 2019

I am the Chief Practice Officer for Insurance, Healthcare, and Hi-Tech verticals at Fractal. The Insurance practice is currently engaged with several top 10 P&C insurers in the US, across the Insurance value chain through AI, Engineering, Design & Behavioural Sciences programs.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

IBM Big Data Hub

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

Cost-Benefit 99

Cost-Benefit Modeling Manufacturing Interactive 99

CIO Business Intelligence

MAY 16, 2023

The industries these decision-makers represented include insurance, banking, healthcare and life sciences, government, entertainment, and energy in the U.S. It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises. and tokenization.

Advertising 105

Advertising Recreation/Entertainment Experimentation Enterprise 105

Cloudera

SEPTEMBER 17, 2020

By enabling their event analysts to monitor and analyze events in real time, as well as directly in their data visualization tool, and also rate and give feedback to the system interactively, they increased their data to insight productivity by a factor of 10. . This led them to fall behind. Our solution: Cloudera Data Visualization.

Experimentation 80

Experimentation Data Warehouse Dashboards Visualization 80

CIO Business Intelligence

OCTOBER 18, 2023

Of roughly 2,500 CIOs surveyed recently by Gartner, 9% say they have already deployed gen AI applications, and a staggering 55% say they will deploy large language models (LLMs) in production by the end of 2025. Snap, LexisNexis, and Lonely Planet are also developing and training LLM models, each leveraging their own data stored on AWS. “We

Risk 141

Risk Manufacturing Enterprise Technology 141

DataRobot

JUNE 23, 2021

As they strive to improve models, data scientists continually try new approaches to refine their predictions. A common pattern is that they adopt a three-step model development process: Prepare the initial dataset and leverage automation, including automated feature engineering, to get an accurate baseline model in minutes.

Machine Learning 52

Machine Learning Modeling Experimentation Visualization 52

Ontotext

APRIL 3, 2024

Nimit Mehta: I think that 2024 is going to be a buckle-down year, but, at the same time, we’ll see a rapid explosion of experimentation. For example, when I want to insure some property and want to find out if the CEO has been involved in crime. But my favorite is actionable real-time insights. Maybe later. We call it LLMs on rails.

Technology 59

Technology Risk Digital Transformation Measurement 59