IBM Big Data Hub

MARCH 2, 2022

As social impact organizations accelerate digitization, they are increasingly aware of the untapped potential lying within their data, and how AI solutions leveraging this data can amplify impact. The organizations then began incubation projects alongside the DSE team, building models and data capacity alike.

Data science 74

Data science Analytics Education Financial Services 74

Reltio

MARCH 11, 2019

Speakers represented life sciences, healthcare, manufacturing, retail, consumer goods, financial services, consulting services, and hi-tech. This year the event offered three tracks – Modern Data Management, Personalize Customer 360 , and Healthcare & Life Sciences. Keynote sessions included: .

Digital transformation 40

Digital transformation Financial Services Data science Retail 40

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 89

Artificial Intelligence Marketing e-Delivery Manufacturing 89

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. 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