IBM Big Data Hub

MAY 8, 2023

In my previous post , I described the different capabilities of both discriminative and generative AI, and sketched a world of opportunities where AI changes the way that insurers and insured would interact. Usage risk—inaccuracy The performance of an AI system heavily depends on the data from which it learns.

Insurance 74

Insurance Risk Artificial Intelligence Government 74

eSecurity Planet

MAY 27, 2021

The explosion of ransomware and similar cyber incidents along with rising associated costs is convincing a growing number of insurance companies to raise the premiums on their cyber insurance policies or reduce coverage, moves that could further squeeze organizations under siege from hackers. Insurers Assessing Risks.

Insurance 128

Insurance Ransomware Risk Data science 128

John Battelle's Searchblog

JANUARY 25, 2019

I have spent 30-plus years in the tech and media industries, mainly as a journalist, observer, and founder of companies that either make or support journalism and storytelling. The Industry Standard focused on the business of the Internet, as did my conference Web 2. And second… Governance. But Governance?

Government 92

Government IT Marketing ROT 92

Reltio

JULY 2, 2019

Martin Squires is a leader with extensive experience in customer insight, marketing analytics & data science. Selected for the last 5 years as a member of the Data IQ Data 100 , Martin has considerable experience helping organisations drive value from building a deeper understanding of their customers.

Analytics 58

Analytics Insurance Artificial Intelligence Data science 58

IBM Big Data Hub

JULY 17, 2023

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.

Analytics 67

Analytics Data science Cloud Metadata 67

Reltio

MARCH 31, 2019

She points out that your customer is hiding in plain sight, you need to tap into all the data to get him out. To ensure no wall between data, governance, and insight, she shares her mantras: invest intelligently, source strategically, and collaborate.

MDM 40

MDM Digital transformation Analytics Cloud 40