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Balancing latency and sustainability

CIO

To get the compute resources they need while also optimizing energy efficiency, some enterprises—and the service providers they partner with—look to position data centers in colder environments, far away from major population centers. However, many modern digital applications require extremely low latency.

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Prisma SASE 3.0 — Securing Work Where It Happens

Palo Alto Networks

However, many of the solutions deployed in the initial rush to support this shift had prioritized immediate needs rather than a cohesive long-term strategy. As a result, companies end up with multiple secure access tools, all with different policies, network sensors and management panes in place. Prisma SASE 3.0

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Salesforce earmarks $250 million for AI startup investment

CIO

Hearth AI, an agent-relationship management company, is dedicated to creating AI that can understand human social networks. Finally, You.com is an AI-powered search engine, offering summarized search results and a degree of privacy compared to large commercial offerings.

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Bots and beyond: How the AI revolution is shifting the paradigm for customer experience in smart banking

CIO

Creating a first-rate, secure digital customer experience is a top goal for leaders across the financial services spectrum, from retail banking to commercial lending, investment banking, and wealth management. Most banks have very old infrastructure that doesn’t produce the data they need, to effectively engage with customers,” Nilendu says.

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Generative AI: 5 enterprise predictions for AI and security — for 2023, 2024, and beyond

CIO

Our recent data analysis of AI/ML trends and usage confirms this: enterprises across industries have substantially increased their use of generative AI, across many kinds of AI tools. What can enterprises learn from these trends, and what future enterprise developments can we expect around generative AI?

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The year’s top 10 enterprise AI trends — so far

CIO

AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in carefully curated data sets. The advent of gen AI changed everything, and the pace of that change is like nothing we’ve seen before. billion to the global economy.

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What is the Role of AI in the Manufacturing Industry?

OTS Solutions

With the ability to analyze data in real-time and make quick decisions, AI systems can optimize production processes, predict maintenance needs, and minimize downtime. AI-powered robots can perform repetitive and dangerous tasks, minimizing human intervention.