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CIOs must mind their own data confidence gap

CIO

As far as many C-suite business and IT executives are concerned, their company data is in great shape, capable of fueling data-driven decision-making and delivering AI-powered solutions. That emphasis can erode an organizations data foundation over time. Teams tend to prioritize short-term wins over a long-term outlook.

Data 195
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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?

Big Data 267
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Monad emerges from stealth with $17M to solve the cybersecurity big data problem

TechCrunch

Cloud security startup Monad, which offers a platform for extracting and connecting data from various security tools, has launched from stealth with $17 million in Series A funding led by Index Ventures. . “Security is fundamentally a big data problem,” said Christian Almenar, CEO and co-founder of Monad.

Big Data 246
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Harbr raises $38.5M to help enterprises exchange and share big data troves securely

TechCrunch

Today, a new London startup called Harbr , which has built a secure platform to enable big data exchange, is announcing a big round of funding to tap into that demand. Harbr emerges from stealth to help build online data marketplaces. I have been in data a very long time, and we have a lot of relationships with U.S.

Big Data 270
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Top Considerations for Building an Open Cloud Data Lake

Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data.

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The future of data: A 5-pillar approach to modern data management

CIO

In todays economy, as the saying goes, data is the new gold a valuable asset from a financial standpoint. A similar transformation has occurred with data. More than 20 years ago, data within organizations was like scattered rocks on early Earth.

Data 167
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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.

Big Data 246
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12 Considerations When Evaluating Data Lake Engine Vendors for Analytics and BI

Businesses today compete on their ability to turn big data into essential business insights. To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data.

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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. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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A Guide to Designing Delightful Dashboards

Speaker: Daniel O'Sullivan, Product Designer, nCino and Jeff Hudock, Senior Product Manager, nCino

We’ve all seen the increasing industry trend of artificial intelligence and big data analytics. In a world of information overload, it's more important than ever to have a dashboard that provides data that's not only interesting but actually relevant and timely.