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TechCrunch+ roundup: Pricing strategy, technical due diligence, pitch deck appendix fever

TechCrunch

Use discount code TCPLUSROUNDUP to save 20% off a one- or two-year subscription. In his latest TC+ post, Michael Perez, director of growth and data at VC firm M13, shares five questions he uses to devise pricing strategy frameworks , along with three value metrics and a detailed measurement plan for GTM strategy. Here’s why.

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7 signs it’s time to modernize your IT systems

CIO

The bad news, however, is that IT system modernization requires significant financial and time investments. On the other hand, there are also many cases of enterprises hanging onto obsolete systems that have long-since exceeded their original ROI. Kar advises taking a measured approach to system modernization.

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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.

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5 tips for better business value from gen AI

CIO

For example, developers using GitHub Copilots code-generating capabilities have experienced a 26% increase in completed tasks , according to a report combining the results from studies by Microsoft, Accenture, and a large manufacturing company. These reinvention-ready organizations have 2.5 times higher revenue growth and 2.4

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Agentic AI design: An architectural case study

CIO

Agentic AI is the next leap forward beyond traditional AI to systems that are capable of handling complex, multi-step activities utilizing components called agents. He believes these agentic systems will make that possible, and he thinks 2025 will be the year that agentic systems finally hit the mainstream. They have no goal.

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

Ground truth data in AI refers to data that is known to be factual, representing the expected use case outcome for the system being modeled. By providing an expected outcome to measure against, ground truth data unlocks the ability to deterministically evaluate system quality.

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LLM benchmarking: How to find the right AI model

CIO

Whether its about selecting a chatbot for customer service, translating scientific texts or programming software, benchmarks provide an initial answer to the question: Is this model suitable for my use case? Reference-free metrics: These metrics evaluate the quality of a generated text independently of a reference.