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

CIO

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. This has made data even more of a target for bad actors and increased the damage resulting from malicious or accidental exposures. Years later, here we are.

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AI brings complexity to cybersecurity and fraud

CIO

Rohit Singh, Associate Director Cyber Security & Information System of People interactive (Shaadi.com) says, Security solutions should move beyond static rule-based systems, leveraging AI to understand attack intent and delivering tailormade, high-confidence threat responses.

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How Tech Leaders Are Using AI to Solve 10 Procurement Challenges

CIO

AI in Action: AI-powered contract analysis streamlines compliance checks, flags potential risks, and helps you optimize spending by identifying cost-saving opportunities. CIOs Need to Upskill Their Teams in AI and Cybersecurity The Challenge: 62% of IT leaders told IDC that a lack of skills had resulted in missed revenue growth objectives.

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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] Reliability and security is paramount.

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The Importance of Security and Compliance in Enterprise Applications

OTS Solutions

However, as more organizations rely on these applications, the need for enterprise application security and compliance measures is becoming increasingly important. Breaches in security or compliance can result in legal liabilities, reputation damage, and financial losses.

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

CIO

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

As systems scale, conducting thorough AWS Well-Architected Framework Reviews (WAFRs) becomes even more crucial, offering deeper insights and strategic value to help organizations optimize their growing cloud environments. This allows teams to focus more on implementing improvements and optimizing AWS infrastructure.