An interesting talking point that has emerged alongside the artificial intelligence boom is the technology’s application in the health and natural sciences. In areas such as cancer research and patient care delivery, AI factories are already showing promise as a tool to create personalized treatment courses that boost remission rates and prevent genetic transmission to ...

As enterprises push deeper into their AI journeys, the industry is undergoing a critical pivot from training massive models to running them efficiently at scale. This AI inference stage is less about building the models themselves and focusing more on deploying them in production to serve billions of real-time decisions across the edge, data centers ...

Enterprise technology is witnessing an interesting confluence, with developer empowerment on one side and artificial intelligence hype on the other. While gen AI promises to democratize the toolset needed for creativity and ingenuity, it falls to platform leaders such as Google Cloud to flesh out the pathways to realize this expansive tech future with AI ...

Storage-as-a-service is emerging as one of the most disruptive shifts in enterprise technology, replacing the rigid, capital-heavy storage stacks of the past with agile, on-demand models built for the artificial intelligence era. This isn’t just a cost play — it’s a reinvention of how organizations manage, secure and scale their data. By fusing flexible consumption ...

Artificial intelligence is driving a new frontier in cybersecurity, with agentic AI emerging as the next major leap beyond last year’s large language model hype. This evolving technology promises autonomous, goal-driven decision-making — but it also raises new challenges in oversight, trust and responsible deployment. While early adopters see game-changing potential in streamlining threat detection ...

As artificial intelligence rapidly evolves from curiosity to critical infrastructure, security leaders face a new generation of identity management challenges — ones where machines, not humans, are at the center. Keyfactor Inc. operates in the emerging machine identity management space, which spans everything from mobile devices and Kubernetes clusters to medical equipment and transportation systems. ...

The widening visibility gap in increasingly complex environments presents a growing obstacle to modern cybersecurity. With artificial intelligence creating vast asset sprawl, traditional approaches to asset management — such as spreadsheets — are no longer sufficient. Axonius Inc. meets this challenge with correlated, actionable asset intelligence across cloud, on-premises and edge environments, unlocking smarter asset ...

The app development landscape is undergoing sweeping changes, with platform-as-a-service solutions, such as Heroku, playing a central role. By prioritizing developers and eliminating friction between concept and deployment, the platform continues to reduce cognitive overhead for developers, allowing DevOps to spend more time coding and less time on infrastructure. But as app development evolves, how does ...

In today’s cloud-native world, enterprises need AI applications that are efficient, performant and built to scale. But meeting those expectations often comes down to one thing: infrastructure. AI inference may be a specialized workload, but at its core, it’s still a compute job — so what tools can help scale it reliably across an enterprise? ...

As digital complexity skyrockets, organizations face mounting pressure to observe their systems and automate, secure and optimize them at scale. In this scramble toward new-age digital transformation, Telus Communications Inc. is emerging as a blueprint for how technology, business strategy and observability converge to deliver a superior customer experience. Following a decade-long transformation journey that began ...