IBM Big Data Hub

APRIL 18, 2024

Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. Most importantly, no matter the strength of AI (weak or strong), data scientists, AI engineers, computer scientists and ML specialists are essential for developing and deploying these systems.

Artificial Intelligence 96

Artificial Intelligence Marketing e-Delivery Manufacturing 96

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. Keep learning.

Analytics 58

Analytics Insurance Artificial Intelligence Data science 58

IBM Big Data Hub

OCTOBER 20, 2023

” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Data science 79

Data science Manufacturing Artificial Intelligence Retail 79

Reltio

JULY 6, 2018

A leading PC & printer manufacturer & re-seller created a single global view of accounts. A leading health insurer created a single view of their members across multiple systems to execute a member-centric omnichannel strategy. Reduced IT & Operational Cost. Built-in HIPAA Compliance.

MDM 60

MDM Insurance Retail Cloud 60

Reltio

APRIL 16, 2019

Also a multi-cloud strategy makes more sense for newer data-led enterprises that are permeating every industry sector. Companies must manage different types of data, from different sources and need different insights from various data sets. Storing data locally also minimizes issues over data sovereignty.

Cloud 75

Cloud MDM Analytics Financial Services 75