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With $274 billion in revenue last year and $3.3 trillion in assets under management, JPMorgan Chase has more resources than most to devote to building a winning data and AI strategy. But as James ...
Oct. 11, 2024 – ApertureData has raised $8.25 million in an oversubscribed seed round to advance its purpose-built database for multimodal AI, addressing a critical need for managing data across ...
How we store and serve data are critical factors in what we can do with data, and today we want to do oh-so much. That big data necessity is the mother of all invention, and over the past 20 years, it ...
We’ve entered a period of punctuated equilibrium in the evolution of big data over the past month, thanks to community congregating around open table formats and metadata catalogs for storing data and ...
Everest Group, a Dallas, Texas-based IT analyst firm, analyzed 19 software vendors and outsourcing providers in its Data Annotation and Labeling (DAL) Solutions for AI/ML PEAK Matrix Assessment 2024 ...
Dbt isn’t the only vendor to find that data quality is getting worse. Data observability vendor Monte Carlo published a report a year ago that came to a similar conclusion. The vendor’s State of Data ...
In the current tech paradigm, databases run on top of operating systems. But what if that stack was inverted, with an operating system running on top of the database? That’s the idea behind database ...
Naturally, vendors like Snowflake (a leader in data warehousing) and Databricks (a leader in data lakes) are eager to expand into each other’s fast-growing markets, and the competition is only ...
Additionally, Apache Hive, which marked a huge step forward in big data processing by abstracting away the underlying distributed nature of Hadoop and exposing a familiar SQL (-ish) table abstraction ...
3. Lack of Processing Capacity Not only do users need powerful GPUs to train GenAI models, but they also need them for inference. The huge demand for high-end GPUs from Nvidia has outstripped supply ...
In the past, database customers usually turned to independent software vendors (ISVs) for data management functions like data lineage tracking, data governance, data integration/ETL, data quality, and ...
“In 2024, we’ll see an enterprise explosion of truly unstructured data (audio, video, meeting recordings, talks, presentations) as AI applications take flight. This is highly ‘learnable’ content from ...
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