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 68

Insurance Risk Artificial Intelligence Government 68

Info Source

OCTOBER 6, 2020

NYSE: AYX), a leader in analytic process automation (APA ), to deliver process intelligence capabilities that complement the Alteryx Analytic Process Automation Platform. The Alteryx APA Platform unifies analytics, data science and data-centric process automation in one self-service platform.

Analytics 40

Analytics Digital transformation Mining Data science 40

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

APRIL 18, 2024

Image (55%): Gen AI can simulate how a product might look in a customer’s home or reconstruct an accident scene to assess insurance claims and liability. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move.

Artificial Intelligence 89

Artificial Intelligence Marketing e-Delivery Manufacturing 89

Collibra

JUNE 1, 2022

Collibra Adaptive Data and Analytics Governance is available for a free test drive! The foundation of a data-driven organization. Data is more valuable than ever. The key is adaptive data and analytics governance. At Collibra, we believe it’s the next big step forward in data governance. .

Analytics 76

Analytics Government Compliance Metadata 76

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 62

Analytics Data science Cloud Metadata 62

Bill Schmarzo - Dell EMC

APRIL 4, 2018

Figure 1: “Driving Business Strategies with Data Science: Big Data MBA” Because in our evolving world, successful digital transformation will be the difference whether a business survives or wilts in the modern economy. Customer Events could include planning a vacation, buying a house, or purchasing insurance.

Digital transformation 98

Digital transformation Big data Marketing Artificial Intelligence 98