Readiness, risk, responsibility-it’s time to ask the questions needed to unlock the full power of Gen AI for your data.

Sustainable software testing minimises environmental impact, optimises resources and enhances software quality through green practices, risk based testing and automation. Boby Jose explains and ...

Embeddings are the hidden engines behind AI’s intelligence—transforming messy, human data into structured meaning. From recommendations to search, they power the systems that shape our digital world.

Nilesh is a Senior Manager in Sogeti India, Microsoft Practice. He serves as SharePoint Architect. He has helped clients to digitize their workplace and has participated in Discovery analysis, ...

AI is transforming industries, driving productivity and innovation, but also raising concerns about job displacement. As automation replaces human tasks, the ethical implications on employment and ...

In recent times, generative AI has transformed the digital landscape, enabling systems to create art, music, and insightful text on demand. However, the conversation is rapidly shifting toward ...

In this article, I am going to talk about how to run the attended bot without orchestrator and can still be triggered by system-level events that can give and take data to and from human workers.

AI's ability to transform healthcare is undeniable, but concerns around data privacy, security, and transparency must be addressed to fully realize its potential without compromising patient trust.

There once was a project manager that pitted departments against each other. The Business Analysts were rated on their requirements defects. The testers were rated based on could not reproduce defects ...

In this second article of the Enterprise Architecture for Business Model Innovation Series, a design think-based approach is presented for business model design. Design thinking is a user-centered ...

Microsoft has still positioned SharePoint 2019 On-premises environment for custom solutions and applications that can be migrated over from business.

AI governance ensures ethical, transparent, and accountable AI systems. Regulatory bodies play a key role in creating and enforcing frameworks that balance innovation with risk mitigation.