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11:11 Systems: Empowering enterprises to modernize, protect, and manage their IT assets and data

CIO

Diamond founded 11:11 Systems to meet that need – and 11:11 hasn’t stopped growing since. Our valued customers include everything from global, Fortune 500 brands to startups that all rely on IT to do business and achieve a competitive advantage,” says Dante Orsini, chief strategy officer at 11:11 Systems. “We

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

CIO

Observer-optimiser: Continuous monitoring, review and refinement is essential. enterprise architects ensure systems are performing at their best, with mechanisms (e.g. They ensure that all systems and components, wherever they are and who owns them, work together harmoniously.

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ERP modernization: Still a make-or-break project for CIOs

CIO

“Two ERP deployments in seven years is not for the faint of heart,” admits Dave Shannon, CIO of the hardware distribution firm. Allegis had been using a legacy on-premises ERP system called Eclipse for about 15 years, which Shannon says met the business needs well but had limitations.

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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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Daily Crunch: After glitch causes a two-hour global outage, WhatsApp restores service

TechCrunch

Emergency response services have had a big boost of data thanks to advances in connected technology, with watches that can detect when their wearers are falling down and are experiencing trauma, cars that can pinpoint where their drivers are located and home systems that can transmit important data about fires when you cannot.

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Shinkei Systems’ AI-guided fish harvesting is more humane and less wasteful

TechCrunch

There’s a far superior alternative, but it’s time-consuming and manual — but Shinkei Systems has figured out a way to automate it, even on the deck of a moving boat and has landed $1.3 That is, unless you automate it, which is what Shinkei Systems has done. Image Credits: Shinkei Systems.

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Reduce ML training costs with Amazon SageMaker HyperPod

AWS Machine Learning - AI

Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for several weeks or months to complete a single job. As cluster sizes grow, the likelihood of failure increases due to the number of hardware components involved.

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