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

TechCrunch

Usage habits are only one signal of a customer’s willingness to pay, so Martinez shares multiple strategies and target metrics for building scalable models. For years, conventional wisdom said it was a useless evolutionary holdover, but we’ve since learned that it helps strengthen the immune system. Here’s why.

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IT resiliency: Running two different hypervisors

CIO

While Boyd Gaming switched from VMware to Nutanix, others choose to run two hypervisors for resilience against threats and scalability, Carter explained. Vendor allegiance – once critical for many organizations due both to convenience and loyalty – has become a company liability for many. However, this setup can offer a head start.

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Technical Review: A Trusted Look Under the Hood

TechEmpower CTO

The answer is to engage a trusted outside source for a Technical Review – a deep-dive assessment that provides a C-suite perspective. At TechEmpower, we’ve conducted more than 50 technical reviews for companies of all sizes, industries, and technical stacks. A technical review can answer that crucial question.

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What is data architecture? A framework to manage data

CIO

Data architecture goals The goal of data architecture is to translate business needs into data and system requirements, and to manage data and its flow through the enterprise. AI and ML are used to automate systems for tasks such as data collection and labeling. An organizations data architecture is the purview of data architects.

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Cloud analytics migration: how to exceed expectations

CIO

A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making. Intel’s cloud-optimized hardware accelerates AI workloads, while SAS provides scalable, AI-driven solutions.

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Security is dead: Long live risk management

CIO

Unfortunately, many organizations still approach information security this way waiting until development is nearly complete before conducting security reviews, penetration tests, and compliance checks. This means creating environments that enable secure development while ensuring system integrity and regulatory compliance.

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AI market evolution: Data and infrastructure transformation through AI

CIO

However, many face challenges finding the right IT environment and AI applications for their business due to a lack of established frameworks. Companies are seeking ways to enhance reporting, meet regulatory requirements, and optimize IT operations. AI applications rely heavily on secure data, models, and infrastructure.