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1 week ago | 
siliconangle.com | Victoria Gayton
The acceleration of AI in application development has reached a new peak — but many organizations are learning the hard way that tooling alone won’t solve deep-rooted inefficiencies. While AI agents and generative platforms promise to help developers move faster, the conversation is increasingly shifting from experimentation to operational maturity.
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2 weeks ago | 
siliconangle.com | Victoria Gayton
Organizations are racing to implement artificial intelligence, but many struggle to define a successful enterprise AI strategy. Despite all the tools at their disposal, results remain elusive. A recent BCG study found that just 26% of companies have developed the capabilities to scale AI and generate real business value. For all the talk of automation, smarter workflows and digital reinvention, real progress is proving harder to define. Companies don’t just need new tools.
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2 weeks ago | 
siliconangle.com | Victoria Gayton
Cyber risk is outpacing many companies’ ability to respond, and cyber insurance alone can’t close the gap. Security leaders need people and tools to effectively secure an increasingly connected enterprise. As attack surfaces expand and threats multiply, security teams are stretched thin. At the same time, the cost of transferring risk is rising.
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2 weeks ago | 
siliconangle.com | Victoria Gayton
Causal AI is gaining momentum, with seven in 10 enterprise artificial intelligence professionals either using, experimenting with or planning to adopt it by 2026. That surge in interest reflects a growing demand for systems that don’t just respond, but explain: AI that can reason, justify its decisions and build trust with the humans it serves.
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2 weeks ago | 
siliconangle.com | Victoria Gayton
Enterprise observability is becoming a make-or-break capability for artificial intelligence. Riverbed Technology LLC aims to cut through the noise with a unified platform that delivers measurable outcomes for performance-hungry enterprises in a market bloated with tools and buzzwords. The company’s engineering collaboration with Intel Corp. is a key driver behind this evolution.
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3 weeks ago | 
siliconangle.com | Victoria Gayton
In modern banking, money might be the product, but data is the power behind the machine. And when infrastructure is juggling millions of transactions and trillions of dollars in payments, Kubernetes data management becomes critical and resilience isn’t just a goal — it’s the mandate. At HSBC Group, that mandate takes the form of a Kubernetes platform operating at an extraordinary scale.
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3 weeks ago | 
siliconangle.com | Victoria Gayton
As artificial intelligence accelerates innovation in software development, the need for real-time observability has never been greater. The convergence of generative AI and platform engineering has introduced unprecedented complexity across digital systems. Already under pressure to maintain high velocity, developers must now navigate unpredictable execution flows and AI-native workloads.
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3 weeks ago | 
siliconangle.com | Victoria Gayton
The modern IT landscape is starting to feel like a Rube Goldberg machine that’s been duct-taped to a rocket — complex, fast-moving and liable to explode if you sneeze in the wrong direction. Enterprises want agility, flexibility and scalability, but they’re wrestling with tangled systems, legacy workloads and unpredictable budgets. It’s no wonder that the pressure is mounting for organizations to rethink how they manage virtualization, cloud infrastructure and hybrid cloud orchestration.
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4 weeks ago | 
siliconangle.com | Victoria Gayton
As businesses race forward with artificial intelligence adoption, automation and edge computing, leaders face a growing challenge: innovating at speed without compromising ethics, security or sustainability. Enterprise innovation is no longer just about adopting the latest technology — it’s about strategically integrating AI and automation to drive meaningful change while maintaining security, compliance and long-term viability.
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4 weeks ago | 
siliconangle.com | Victoria Gayton
Unified data intelligence is the foundation of modern artificial intelligence, but unlocking its full potential requires a platform that makes data accessible, scalable, and easy to use. Databricks Inc. has positioned itself at the center of this movement, offering a unified data intelligence platform that empowers developers, analysts and business users alike.
