A big concern for many CIOs is becoming dependent on specific tools or vendors. HCLTech’s platforms—Fenix and AI Force—are ...

A Business Data Analyst in a Data Governance & Architecture team plays a crucial role in bridging business requirements with data solutions. This role is more strategic covering all asset classes and ...

Business Data Analyst RI Data Product Management (Devops Engineer 5) Location Amsterdam, Heerlen Employment 40-40 hours Years of experience 5-8 years of experience Education Master of Science (MSc) ...

With the massive hype around AI, public service leaders could be forgiven for seeing AI as a quick solution to service delivery challenges.

DevOps achieves this through the continuous integration and delivery of code changes, while MLOps aims to expedite the cycle of model development, training, and deployment.

As organizations reinvent for the AI era, business leaders say they’re moving toward a new enterprise technology operating model. Here’s how to get started.

Understanding the distinct roles of product, platform, and services teams is key to unlocking the full potential of a product operating model.

A successful operating model for investment managers must be built on a unified platform that seamlessly integrates data management, analytics, decision support, execution and post-trade.

The paper aims at evaluating modern DevOps tools, strategizing the execution models and monetizing the business model innovation. DevOps, with its pragmatic tools, processes, and solutions, is in the ...

If you want your business to succeed in a world of AI, you'll need to operate in a boundless manner. Here's how.