Remove Data science Remove Libraries Remove Security Remove Strategy
article thumbnail

How to enable trustworthy AI with the right data fabric solution

IBM Big Data Hub

Automated, integrated data science tools help build, deploy, and monitor AI models. With AI governance solutions, a data scientist using standard, open Python libraries and frameworks can have facts about the model building and training automatically collected. Better data-driven decision making with AI and AI governance.

article thumbnail

5 Major Cybersecurity Trends to Know for 2024

eSecurity Planet

Cybercrime will go to the next level: Cyberattackers will implement improved skills, “shift left” attacks, and shifting strategies to adjust to evolving cyberdefense. For more on governance and policies, check out our article on IT security policies , including their importance and benefits, plus tips to create or improve your own policy.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

The migration involves using a cloud enablement strategy to deliver products and services on-demand to business users and customers anytime, anywhere, and on any device, while evolving and adapting to business users’ and customers’ needs as new formats, standards, and devices emerge. Content Services Platforms (CSP).

article thumbnail

How to choose the best AI platform

IBM Big Data Hub

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.

article thumbnail

Introducing watsonx: The future of AI for business

IBM Big Data Hub

It provides self-service access to high-quality, trustworthy data, enabling users to collaborate on a single platform where they can build and refine both new, generative AI foundation models as well as traditional machine learning systems. Watsonx has three components: watsonx.ai , watsonx.data and watsonx.governance.

article thumbnail

What’s your data democratization strategy? How to successfully democratize data

Collibra

If you’re already sold on the importance of data democratization , you’re likely wondering how to get started with your data democratization strategy. How can you ensure that the right people can access the right data, at the right time? What is a data democratization strategy? Security risks.