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Build a strong data foundation for AI-driven business growth

CIO

In the quest to reach the full potential of artificial intelligence (AI) and machine learning (ML), there’s no substitute for readily accessible, high-quality data. If the data volume is insufficient, it’s impossible to build robust ML algorithms. If the data quality is poor, the generated outcomes will be useless.

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Are enterprises ready to adopt AI at scale?

CIO

Whether it’s a financial services firm looking to build a personalized virtual assistant or an insurance company in need of ML models capable of identifying potential fraud, artificial intelligence (AI) is primed to transform nearly every industry. And the results for those who embrace a modern data architecture speak for themselves.

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Gartner projects major IT spending increases for 2025

CIO

TRECIG, a cybersecurity and IT consulting firm, will spend more on IT in 2025 as it invests more in advanced technologies such as artificial intelligence, machine learning, and cloud computing, says Roy Rucker Sr., CEO and president there.

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Stability AI backs effort to bring machine learning to biomed

TechCrunch

Called OpenBioML , the endeavor’s first projects will focus on machine learning-based approaches to DNA sequencing, protein folding and computational biochemistry. Stability AI’s ethically questionable decisions to date aside, machine learning in medicine is a minefield. ” Generating DNA sequences.

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Qventus Latest Healthcare AI Startup To Raise Big

Crunchbase News

Healthcare startups using artificial intelligence have come out of the gate hot in the new year when it comes to fundraising. Qventus platform tries to address operational inefficiencies in both inpatient and outpatient settings using generative AI, machine learning and behavioural science.

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Synthetic DNA startup Catalog partners with Seagate for its DNA-based data storage platform

TechCrunch

However, data storage costs keep growing, and the data people keep producing and consuming can’t keep up with the available storage. The partnership focuses on automating the DNA-based storage platform using Seagate’s specially designed electronic chips. Data needs to be stored somewhere.

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Understanding Data Storage: Lakes vs. Warehouses

DevOps.com

They are frequently turning to complex data for tasks like machine learning and artificial intelligence, which are becoming necessary to understand and reach customer segments across industries. The post Understanding Data Storage: Lakes vs. Warehouses appeared first on DevOps.com.

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