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

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

DataRobot

JUNE 23, 2021

After adding the preferred code, teams can take advantage of the existing DataRobot capabilities, such as metrics, explainability, visualizations, deployment, monitoring, collaboration, and governance. In data science , the best results come through experimentation. So let’s dig in! Run AutoPilot.

Machine Learning 52

Machine Learning Modeling Experimentation Visualization 52

CIO Business Intelligence

MAY 1, 2024

Pilots can offer value beyond just experimentation, of course. McKinsey reports that industrial design teams using LLM-powered summaries of user research and AI-generated images for ideation and experimentation sometimes see a reduction upward of 70% in product development cycle times.

Cost-Benefit 140

Cost-Benefit Metrics Insurance Measurement 140

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Are you seeing any specific issues around the insurance industry at the moment that should concern CDAOs?

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. Ensure a culture that supports a steady process of learning and experimentation. Or something. I took this tangent for two reasons.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Occam's Razor

JULY 26, 2010

For example let's say I work at a delightful car / health / spaceship insurance company. PALM: People Against Lonely Metrics]. So why not your metrics? This is the problem with lonely metrics. Why not find a BFF for your lonely metric and present something like this. Or an actual outcome metric.

Metrics 96

Metrics Measurement Dashboards Reporting 96