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Overwhelmed cybersecurity teams need autonomous solutions

CIO

Today, security teams worldwide are under immense pressure. Today’s cybercriminals are leveraging advanced techniques to breach security perimeters – ransomware attacks are more targeted, phishing campaigns are increasingly sophisticated, and attackers are exploiting new vulnerabilities.

Security 476
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Are enterprises ready to adopt AI at scale?

CIO

AI’s ability to automate repetitive tasks leads to significant time savings on processes related to content creation, data analysis, and customer experience, freeing employees to work on more complex, creative issues. But adoption isn’t always straightforward.

Banking 524
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Skilled IT pay defined by volatility, security, and AI

CIO

This volatility can make it hard for IT workers to decide where to focus their career development efforts, but there are at least some areas of stability in the market: despite all other changes in pay premiums, workers with AI skills and security certifications continued to reap rich rewards.

Security 508
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Build a strong data foundation for AI-driven business growth

CIO

To fully leverage AI and analytics for achieving key business objectives and maximizing return on investment (ROI), modern data management is essential. Some of the key applications of modern data management are to assess quality, identify gaps, and organize data for AI model building.

Business 418
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From fear to abundance: Rethinking job security in the age of generative AI

CIO

By Chet Kapoor, Chairman & CEO at DataStax Along with the exciting possibilities of generative AI (genAI), there have been concerns around job (in)security and displacement. From customer service interactions to data analysis, genAI has already shown remarkable progress in streamlining processes and increasing efficiency.

Security 528
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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. Or a sales team member inputs the prompt, “Can you create sales trends based on the following Q2 pipeline data?”

Security 501
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Salesforce Data Cloud updates aim to ease data analysis, AI app development

CIO

The Einstein Trust Layer is based on a large language model (LLM) built into the platform to ensure data security and privacy. “Copilot Search will provide precise, contextually relevant responses in a user’s workflow and bolster trust with source citations from the Einstein Trust Layer,” the company said.