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Tag: machine learning

Optimizing Your AI/ML Efforts with Localization

There’s an old saying that applies well to artificial intelligence and the data that powers it: “Garbage in, garbage out.” Gartner found that only 47% of ML/AI models go from prototype to production. These models a Read more…

Observability and AIOps Tools Rise with Big MELT Data

The hottest space in big data at the moment arguably exists between the two pillars of AIOps and observability, where a crush of metric, event, log, and trace (MELT) data threatens to overwhelm IT professionals. Not surp Read more…

MIT-IBM Watson AI Lab Tackles Power Grid Failures with AI

Next time your power stays on during a severe weather event, you may have a machine learning model to thank. Researchers at the MIT-IBM Watson AI Lab are using artificial intelligence to solve power grid failures. The Read more…

Natural Language Processing: The Next Frontier in AI for the Enterprise

The power and practicality of artificial intelligence is largely undisputed. However, one of its longest-standing difficulties continues to be human language. A misspelled or misused word can frustratingly turn a chatbot Read more…

Five Ways to Shift to AI-First

According to Gartner, artificial intelligence will create $2.9 trillion of business value and 6.2 billion hours of worker productivity globally in 2022.  Many companies are aiming for an AI-first strategy where machine Read more…

MLOps Pays Dividends for New York Life

Machine learning has the potential to generate millions of dollars in savings and revenue growth for organizations. Nobody in the data business doubts that anymore. But unless ML models are actually put into production, Read more…

O’Reilly Report Shows Relational DB Momentum, No AI Slowdown

O’Reilly has released its Technology Trends for 2022 report, highlighting trends in its data spanning technologies from cloud and AI to databases and the metaverse. Among its conclusions: a bright and continuing future Read more…

Graviti Seeks to Corral Unstructured Data for AI

In many ways, unstructured data is the bane of the modern data collector. Compared to the svelte nature of structured data, such as numbers safely ensconced in a database, unstructured data like words and pictures are bi Read more…

Taming the ‘White Whale’ of Unstructured Data

Unstructured data comprises a large chunk of all business data, and according to IDC, the figure could reach 80% by 2025. Data that is not collected or stored in an organized way, specifically language data in the form o Read more…

Stanford Researchers Detail New Method for Error Detection in Perception Data

Autonomous and semi-autonomous vehicles are increasingly common, with most relying primarily on AI-powered cameras that rapidly detect vehicles, people, and obstacles within the frame and use that information (among othe Read more…

Three Ways AI Is Helping Manufacturers

Thanks to the global supply chain and growth of middle-class culture, manufacturers are under tremendous pressure to make high quality goods that customer desire at a price they can afford. One technology that’s increa Read more…

Pavilion Preps for Growth with $45M Series D, New Leadership

Pavilion Data Systems announced a $45 million Series D funding round this week, bringing its total funding to $107 million. The round was led by Kleiner Perkins and Artiman Ventures.  Pavilion plans to use the new fu Read more…

New Unicorn Fractal Bolsters Cloud Play with Neal Buy

Artificial intelligence firm Fractal Analytics is having a busy January so far. Early in the month it announced a $360 million investment from enterprise technology asset firm TPG, and on Tuesday the company reported acq Read more…

Data Science Finds New Uses in Political Science

The intersection of public policy and public data is fertile ground for data scientists to practice their craft. Two new use cases that recently emerged in the United States are drafting political districts and predictin Read more…

DeepliteRT Enables Fast and Efficient AI Modeling on Edge Devices

Enterprises today have increasingly complex and expansive datasets that require substantial computing resources to manage. Machine learning with artificial intelligence models has been an indispensable tool for reducing Read more…

Understanding AI’s Limitations Is Key to Unlocking Its Potential

Artificial intelligence (AI) is revolutionizing many processes across industries and applications—digital customer service assistants, autonomous vehicles, robots in retail warehouses. AI can even write a news article Read more…

Narrowing the AI-BI Gap with Exploratory Analysis

The worlds of AI and BI occupy distinct places in the analytics continuum, which is most often understood with concepts like descriptive analytics, predictive analytics, and prescriptive analytics. Users can leverage des Read more…

2021 Big Data Year in Review: Part 2

There was a lot going on in 2021, but we’ve done our best to synthesize some of the top stories of the year. Here, we pick up where we left off in part one of this two-part piece. One of the most interesting develop Read more…

New Machine Learning Tool Flags Risky Remedies

Sometimes, treatments can make things worse – but it can be hard to know when that is (or isn’t) the case. Such is the case with sepsis, which kills nearly 270,000 annually in the United States – and which can, sad Read more…

Anyscale Nabs $100M, Unleashes Parallel, Serverless Computing in the Cloud

With a fresh $100 million in the bank and $1 billion valuation, UC Berkeley’s RISELab alum Anyscale is now set to scale up its business as the latest data unicorn. The company also announced the general availability of Read more…

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