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AI & the enterprise: protect your data, protect your enterprise value

CIO

The premise was that enterprises needed to secure their critical data more stringently in the wake of data hacks and emerging AI processes. I wrote, “ It may be even more important for the security team to protect and maintain the integrity of proprietary data to generate true, long-term enterprise value. Years later, here we are.

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Unlocking the full potential of enterprise AI

CIO

Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1]

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ServiceNow to acquire Moveworks to strengthen agentic AI and enterprise search

CIO

billion deal, highlighting the growing enterprise shift toward AI-driven automation to enhance IT operations and service management efficiency. After closing the deal, ServiceNow will work with Moveworks to expand its AI-driven platform and drive enterprise adoption in areas like customer relationship management, the company said.

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When is data too clean to be useful for enterprise AI?

CIO

But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects. For many organizations, preparing their data for AI is the first time they’ve looked at data in a cross-cutting way that shows the discrepancies between systems, says Eren Yahav, co-founder and CTO of AI coding assistant Tabnine.

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What’s holding enterprises back from IT modernization?

CIO

To dig deeper into what those challenges are, Rocket Software and Forrester Consulting surveyed 309 IT decision-makers worldwide and asked them about their modernization journeys. Just over half of IT decision-makers (51%) surveyed said they attempted at least six app re-write projects due to multiple failures, according to the survey.

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Technical Review: A Trusted Look Under the Hood

TechEmpower CTO

Many CEOs of software-enabled businesses call us with a similar concern: Are we getting the right results from our software team? We hear them explain that their current software development is expensive, deliveries are rarely on time, and random bugs appear. What does a business leader do in this situation?

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Security is dead: Long live risk management

CIO

Information risk management is no longer a checkpoint at the end of development but must be woven throughout the entire software delivery lifecycle. They demand a reimagining of how we integrate security and compliance into every stage of software delivery.