Tag: research

Deep research is iterative, not transactional. AI must preserve context, reasoning and evidence across long-running investigations to be useful in R&D. Trust is the gating factor. When outputs can’t be traced, reviewed or defended, AI stalls at the pilot stage and never reaches production. Production-ready AI compounds research value. Deep research systems that are governed, explainable and reusable turn isolated insights into institutional advantage.

R&D doesn’t lack data—it lacks signal. AI-driven knowledge discovery only works when answers are grounded in trusted, contextual enterprise data, not probabilistic guesswork. Most AI tools break trust before they create value. Treating research data like generic internet content strips away context, provenance and scientific rigor. Boring, reliable AI wins in 2026. Knowledge discovery that is governed, explainable and embedded into real R&D workflows is what turns AI from pilots into lasting outcomes.

Hindered by complexity and frequent change, effective DevSecOps remains a challenge for many organizations. How can companies ensure they’re on the right track?

3,000 respondents worldwide note development delays due to limited resources, lack of mobile development process, market fluctuation With all the hype surrounding mobility these days, it’s hard to get a clear picture of what’s really going on. To that end, we recently surveyed 3,000 IT...

A new study from IBM finds that adopters of software as a service (SaaS) are using it to gain competitive advantage, not simply save money. Combined with company culture urging collaboration, SaaS can be a powerful business tool. Software as a Service (SaaS) continues to be a compelling...