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 ...

As AI innovation accelerates, one of the thorniest problems facing enterprises is the safe use of customer data. While large language models promise transformation, regulated industries such as finance, healthcare and payroll services are struggling to operationalize AI due to strict privacy, sovereignty and compliance concerns. How does data masking solutions company DataMasque Ltd. remediate ...

Enterprise AI infrastructure is accelerating rapidly, signaling a shift toward full-scale automation and agentic operationalization. In lockstep, Amazon Web Services Inc. and Nutanix Inc. are spearheading a similar shift in how enterprises approach modernization, workload migrations and AI-enabled outcomes. What does this all mean for forward-thinking companies that want to harness AI’s competitive advantage in ...

As the midpoint of 2025 approaches, Amazon Web Services Inc. is sending a clear signal: Software development is undergoing a fundamental repositioning with agentic AI at the helm. The typical, grunt work-reliant modus operandi is giving way to a spec-driven development approach that democratizes entry and rewards ingenuity and versatility. AWS’ vision? A future powered ...

Amazon Web Services Inc.’s AI marketing has evolved into data-driven storytelling, personalized targeting at scale and even sports partnerships. Like most companies, however, that evolution often brings up a dilemma: How does a brand reinvent itself while staying true to core values and maintaining the underlying company spirit? By reimagining its marketing playbook, AWS has ...

Artificial intelligence is no longer just a use case layered onto cloud platforms — it’s the driving force behind a global shift to AI-first infrastructure, and Amazon Web Services Inc. is right in the middle of it. As businesses scramble to deploy generative models and agentic systems, AWS is retooling its stack to meet massive ...

Amazon Web Services Inc.’s S3, Simple Storage Service, has evolved from simply being a durable and scalable storage solution to a fundamental layer driving innovation across AI, analytics and data infrastructure. Following the rise of generative AI and the convergence of structured, unstructured and semi-structured data, S3 now powers a modern AI-first infrastructure that’s redefining the ...

AI supply chains are no longer a future ambition — they’re a present-tense reality, and Blue Yonder has stepped forward with a clear vision to shape what comes next. At ICON 2025 in May, Blue Yonder introduced its most expansive solution suite yet — the culmination of a $2 billion investment in next-generation cognitive applications ...

NetApp Inc. is redefining the future of intelligent data with cloud-native simplicity and artificial intelligence at scale. Its key strategic differentiator is a wide berth. The company remains the only storage vendor natively embedded in Microsoft Azure (with Azure NetApp Files), Amazon Web Services Inc. (with FSx for NetApp ONTAP) and Google Cloud (with NetApp ...