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Cloud analytics migration: how to exceed expectations

CIO

A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. 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.

Analytics 146
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Kraftful wants to lift the veil with analytics for makers of smart home hardware

TechCrunch

You can’t swing an outdated Python manual in this town without hitting half a dozen app analytics suites, but the same cannot be said if you’re a product manager hoping to figure out where you lose customers for smart home hardware. “There isn’t much product analytics in most apps for connected hardware.

Hardware 224
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AI chip startup Axelera lands $27M in capital to commercialize its hardware

TechCrunch

Unlike conventional chips, theirs was destined for devices at the edge, particularly those running AI workloads, because Del Maffeo and the rest of the team perceived that most offline, at-the-edge computing hardware was inefficient and expensive. ai also offer in-memory solutions for AI, data analytics and machine learning applications.

Hardware 240
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Speedata emerges from stealth with $70M and groundbreaking chip technology to accelerate big data analytics processing

TechCrunch

In the latest development, a startup called Speedata , which is building a processor (fabless) to cover the specific area of big data analytics, is coming out of stealth and announcing $70 million in funding to continue building its product and embark on its first commercial deals. “We are approaching a huge, not niche, market. .

Big Data 246
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9 IT skills where expertise pays the most

CIO

SaaS skills include programming languages and coding, software development, cloud computing, database management, data analytics, project management, and problem-solving. Using this software, organizations can better streamline server hardware, with fewer physical servers on site, and still expand server capabilities.

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The mainframe’s future in the age of AI

CIO

If there’s any doubt that mainframes will have a place in the AI future, many organizations running the hardware are already planning for it. In some cases, that may be a better alternative than moving mission-critical data to other hardware, which may not be as secure or resilient, she adds.

Survey 200
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Pliops lands $100M for chips that accelerate analytics in data centers

TechCrunch

.” Pliops isn’t the first to market with a processor for data analytics. Oracle’s SPARC M7 chip has a data analytics accelerator coprocessor with a specialized set of instructions for data transformation. A core component of Pliops’ processor is its hardware-accelerated key-value storage engine.