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How today’s enterprise architect juggles strategy, tech and innovation

CIO

Observer-optimiser: Continuous monitoring, review and refinement is essential. Ecosystem warrior: Enterprise architects manage the larger ecosystem, addressing challenges like sustainability, vendor management, compliance and risk mitigation. Data protection and privacy: Ensuring compliance with data regulations like GDPR and CCPA.

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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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Cloud analytics migration: how to exceed expectations

CIO

Clearing business strategy hurdles Choosing the right technologies to meet an organization’s unique AI goals is usually not straightforward. Software limitations are another concern, especially when it comes to scaling AI and data-intensive workloads. “A Check out this webinar to get the most from your cloud analytics migration.

Analytics 146
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IT leaders brace for the AI agent management challenge

CIO

McCarthy, for example, points to the announcement of Google Agentspace in December to meet some of the multifaceted management need. Agentic AI systems require more sophisticated monitoring, security, and governance mechanisms due to their autonomous nature and complex decision-making processes. IT employees? Not so much.

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Laika laps up $50M for its automated security compliance platform

TechCrunch

Compliance with privacy and security frameworks like SOC 2, HIPAA and GDPR has become a central component not just of how organizations build trust with their users, but of how organizations work together these days: fail to meet the requirements of these frameworks, and you might lose your business relationship. See here and here.).

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The future of data: A 5-pillar approach to modern data management

CIO

This article proposes a methodology for organizations to implement a modern data management function that can be tailored to meet their unique needs. By modern, I refer to an engineering-driven methodology that fully capitalizes on automation and software engineering best practices. However, there is good news for smaller companies.

Data 167
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Cybersecurity Snapshot: New Guides Offer Best Practices for Preventing Shadow AI and for Deploying Secure Software Updates

Tenable

Want to boost your software updates’ safety? And get the latest on the top “no-nos” for software security; the EU’s new cyber law; and CISOs’ communications with boards. Looking for help with shadow AI? New publications offer valuable tips. Plus, learn why GenAI and data security have become top drivers of cyber strategies.