A demo and a customer case study show how modern observability is exposing hidden causal chains across frontend, backend, and development workflows, reshaping how teams diagnose and resolve performance issues.
The bottleneck in enterprise AI isn't compute power or talent – it's the ability to understand what autonomous systems are actually doing.
Databricks’ research into instructed retrieval and the OfficeQA benchmark suggests that the hardest problems in enterprise AI are no longer about model intelligence. Instead, they lie in how systems interpret instructions, navigate fragmented data, and connect models to tools.
UiPath Chief Marketing Officer Michael Atalla argues that enterprises aren’t moving toward agent-only automation, but toward a permanent hybrid model that combines deterministic workflows, AI agents, orchestration, testing, and governance.
Reproducible experiments and testimony presented at a recent webinar suggest LinkedIn’s algorithms systematically reduce the visibility of anyone whose profile doesn't match the patterns the algorithm has learned to reward. Microsoft’s limited engagement raises wider questions about accountability in AI-driven platforms.
UiPath CFO and COO Ashim Gupta outlines why the company’s recent progress rests less on agentic AI re-positioning and more on execution discipline – from renewals and deployment rigor to how deterministic automation, agents, and human oversight coexist inside real enterprise processes.
Cyber-insurers are tightening requirements as claims rise, shifting from compliance checks to mandated identity controls. New Delinea research shows insurability itself now depends on demonstrable identity security maturity.
Testing an AI agent for donor tissue screening at Evergen surfaces more than technical performance questions. The project reveals how documentation quality, governance, and executive discipline determine whether agentic automation can work in heavily regulated environments.
AI doesn't fix bad data - it amplifies it. We round up the stories that showed how enterprises are finally treating data foundations as the prerequisite, not the afterthought.
diginomica's partners bring their own key takeaways and practical examples of topic authority based on what they are seeing on the ground with customers and in their research. Here's a round-up of the best pieces published in 2025.
Cybersecurity principles are simple, says Databricks' Field CISO. The hard part is doing them at scale across thousands of users and hundreds of applications. The company thinks its data platform – not another security tool – is the answer.
Qlik's Chief Strategy Officer James Fisher discusses the barriers behind the gap - data quality, security, skills - and shares customer examples showing how bounded deployments on existing foundations deliver value in weeks, not years.
VP of Product Management Taqi Jaffri unpacks how deterministic workflows and agentic AI complement each other in production environments, and why the transition from Robotic Process Automation (RPA) isn't a simple replacement story.
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