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How IT leaders use agentic AI for business workflows

CIO

And executives see a high potential in streamlining the sales funnel, real-time data analysis, personalized customer experience, employee onboarding, incident resolution, fraud detection, financial compliance, and supply chain optimization. Another area is democratizing data analysis and reporting.

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TechCrunch+ roundup: Due diligence roadmap, employment law basics, YC’s Michael Seibel

TechCrunch

In a follow-up, he explains the next step: packaging this information for prospective investors to “ create the blueprint and backbone for an in-depth Series B due diligence process. ”. Use discount code TCPLUSROUNDUP to save 20% off a one- or two-year subscription. How to create a due diligence road map for Series B investors.

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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 time efficiency translates to significant cost savings and optimized resource allocation in the review process.

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AI coding assistants wave goodbye to junior developers

CIO

Despite mixed early returns , the outcome appears evident: Generative AI coding assistants will remake how software development teams are assembled, with QA and junior developer jobs at risk. AI will handle the rest of the software development roles, including security and compliance reviews, he predicts. “At

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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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Companies to shift AI goals in 2025 — with setbacks inevitable, Forrester predicts

CIO

AI governance is already a complex issue due to rapid innovation and the absence of universal templates, standards, or certifications. AI-driven software development hits snags Gen AI is becoming a pervasive force in all phases of software delivery. 40% of highly regulated enterprises will combine data and AI governance.

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IT leaders brace for the AI agent management challenge

CIO

Agentic AI systems require more sophisticated monitoring, security, and governance mechanisms due to their autonomous nature and complex decision-making processes. Durvasula also notes that the real-time workloads of agentic AI might also suffer from delays due to cloud network latency. IT employees? Not so much.