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Bud Financial helps banks and their customers make more informed decisions using AI with DataStax and Google Cloud

CIO

Analytics mastery: Use data efficiently Efficient analytics is a key driver for decision-making, and prioritizing the development of robust analytics capabilities to enhance consumers’ and financial institutions’ ability to make informed decisions and stay competitive is critical. Artificial Intelligence, Machine Learning

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Prioritizing AI? Don’t shortchange IT fundamentals

CIO

Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with. Data due diligence Generative AI especially has particular implications for data security, Mann says.

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10 best practices when partnering for strategic skills

CIO

In addition to AI and machine learning, data science, cybersecurity, and other hard-to-find skills , IT leaders are also looking for outside help to accelerate the adoption of DevOps or product-/program-based operating models. AIOps platforms are one relatively new driver of such partnerships.

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Razor’s Edge Ventures closes $340M fund as it looks to invest in defense startups

TechCrunch

In a sign that national security tech is a safe bet even during troubled economic times, defense- and security-focused VC firm Razor’s Edge Ventures today announced the closing of its third startup investment fund at just under $340 million. maintain “technological superiority.”

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Vitech uses Amazon Bedrock to revolutionize information access with AI-powered chatbot

AWS Machine Learning - AI

To serve their customers, Vitech maintains a repository of information that includes product documentation (user guides, standard operating procedures, runbooks), which is currently scattered across multiple internal platforms (for example, Confluence sites and SharePoint folders).

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Beyond Visibility: Proactive Cloud Workload Security in the Real World

Prisma Clud

Over the last 5 years, our team at Prisma Cloud has witnessed an extraordinary surge in the adoption of cloud-native technologies. Virtual machines (VMs) secure a solid 22% share, while both container as a service (CaaS) and containers contribute equally, each making up 18% of the overall workload ecosystem.

Cloud 105
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7 key questions CIOs need to answer before committing to generative AI

CIO

Then, when that didn’t work, it hired it’s own team to build the proprietary models it needed. According to a recent poll of senior executives conducted by The Harris Poll on behalf of Insight Enterprises, 39% of companies have already established policies or strategies around generative AI and 42% are in the process of developing them.