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

TechCrunch

Data centers are taking on ever-more specialized chips to handle different kinds of workloads, moving away from CPUs and adopting GPUs and other kinds of accelerators to handle more complex and resource-intensive computing demands. “We were grossly oversubscribed for this round,” he said.

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Palantir: Revolutionizing big data analytics

CTOvision

Read Jeremiah Lam’s commentary about Palantir Technologies, Inc. and its products like Gotham, Foundry, and Apollo on his blog : A brief background on Palantir – it is typically described as a company that focuses on big data analytics by writing software that enables effective analysis against complicated, data-driven problems.

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Monad emerges from stealth with $17M to solve the cybersecurity big data problem

TechCrunch

Once an organization has extracted data from their security tools, Monad’s Security Data Platform enables them to centralize that data within a data warehouse of choice, and normalize and enrich the data so that security teams have the insights they need to secure their systems and data effectively.

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Tonic is betting that synthetic data is the new big data to solve scalability and security

TechCrunch

Big data is a sham. There is just one problem with big data though: it’s honking huge. Processing petabytes of data to generate business insights is expensive and time consuming. Processing petabytes of data to generate business insights is expensive and time consuming. What should a company do?

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations.

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AIMMO bags $12M Series A to advance data labeling technology  

TechCrunch

A Korean startup called AIMMO , which uses software and humans to label and categorize image, video, sound, text and sensor fusion data, built an AI data annotation platform, enabling the data labeling faster for enterprises. . AIMMO declined to comment on its valuation.

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Quantexa raises $153M to build out AI-based big data tools to track risk and run investigations

TechCrunch

to bring big data intelligence to risk analysis and investigations. Quantexa’s machine learning system approaches that challenge as a classic big data problem — too much data for a human to parse on their own, but small work for AI algorithms processing huge amounts of that data for specific ends.

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