For years, retail banking strategy followed a predictable script: Shift routine transactions to digital channels, downsize physical footprints and route customer service inquiries to centralized contact centers. The underlying assumption was that physical branches were dying embers of a bygone era. Yet industry data tells a radically different story. According to the 2026 Future of Branch Banking Report by the Digital Banking Report, 71% of financial institutions consider branches mission-critical or very important to long-term growth.
Category: From: SiliconANGLE
The next phase of artificial intelligence in legal technology will not be defined by a better chatbot or a faster document-summarization tool. It will be defined by whether AI systems can take responsibility for real work that unfolds over days or weeks, spans multiple systems and communication channels, and returns control to an attorney at the moments when human judgment matters most.
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Supio’s long-horizon agents point to a new operating model for law firms
Operating a network has not changed in decades. Every network engineer knows the drill. An alert fires. You open a dashboard. Then another. Then you pull logs, review client history, ping the wireless team, and, hopefully, an hour later, there is enough context to start solving the problem. The industry spent a decade building better dashboards, even though operations teams needed fewer.
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Extreme Networks’ Agent ONE Coworker moves AI networking from dashboards to answers
Netskope Inc.’s latest quarter delivered a solid beat and a raise, but the company’s story goes beyond the numbers. It demonstrated improving operating discipline, a meaningful rebound in net-new annual recurring revenue, and early evidence that artificial intelligence security could become a material expansion engine — even if it is not yet a near-term revenue cure-all. The market’s response to Netskope has been surprisingly cautious.
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Five things investors may have missed from Netskope’s most recent quarter
At its first Horizon customer and partner event this week, Equinix Inc. argued that the architecture of enterprise artificial intelligence is being reshaped by a simple yet hard-to-answer question: Where should inference run? For the past several years, much of the AI infrastructure conversation has centered on the supply and cost of accelerated computing. The focus has been on graphics processing units, AI factories, training clusters and the unprecedented capital buildout required to support them.