IBM Big Data Hub

AUGUST 11, 2023

Because ML is becoming more integrated into daily business operations, data science teams are looking for faster, more efficient ways to manage ML initiatives, increase model accuracy and gain deeper insights. MLOps is the next evolution of data analysis and deep learning. That’s where feature engineering comes in.

Data science 59

Data science Artificial Intelligence Paper Compliance 59

Collibra

AUGUST 14, 2023

As we speed into a new AI era, there’s a critical element that’s often missing when organizations rush forward in hyper-competitive markets to build scalable, trusted AI programs — and that’s AI governance. An AI governance framework offers a blueprint for how to create successful AI products.

Government 52

Government Risk Financial Services Compliance 52

IBM Big Data Hub

SEPTEMBER 20, 2022

How do you accommodate for drifting data patterns? How a data fabric enables trustworthy AI. Before you can trust an AI model and its insights, you need to be able to trust the data that’s being used. Automated, integrated data science tools help build, deploy, and monitor AI models. Is it scalable?

Data science 57

Data science Metadata Government Access 57

CILIP

MAY 6, 2021

The consultation includes a Government-mandated policy to increase funding to ?high-value? courses like science, engineering and medicine and to reduce by 50% the funding to ?high courses, including Library and Information Science. Library and Information Science?) high-value? high cost but lower value?

Libraries 52

Libraries Education Government Data science 52

CILIP

OCTOBER 8, 2019

Now we are in a place where Big Data and Artificial Intelligence (AI) are the ideas that are set to launch the next big thing. New conference, ConTech, which takes place in December and is in its second year aims to capitalise on the buzz about data and AI for anyone working with content ? s population in one way or another.

e-Delivery 40

e-Delivery Libraries Data science Artificial Intelligence 40

ARMA International

SEPTEMBER 13, 2021

This includes defining the product scope of the DT journey and the digital products and services that will deliver transformative change for a new future. Part 3 will discuss how to manage the various DT risks. One essential step is developing the DT business case and connecting it with the critical success factors (CSFs) and the product scope.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

eSecurity Planet

DECEMBER 19, 2023

We each need to consider how these trends may affect our organizations and allocate our budgets and resources accordingly: AI will turbo-charge cybersecurity and cyberthreats: Artificial intelligence (AI) will boost both attackers and defenders while causing governance issues and learning pains.

Cybersecurity 139

Cybersecurity Cloud Ransomware Risk 139