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Tag: machine learning

What’s Moving the Analytics and BI Tool Business Now

While the addition of AI-powered insights to analytics and business intelligence (ABI) tools is certainly still occurring, a bigger trend currently is the addition of low-code and no-code automation capabilities to ABI t Read more…

Snowflake Introduces Manufacturing Data Cloud to Empower Industries with Data and AI

Data and AI technology for manufacturing is having a moment. As AI has expanded its lengthy reach into manufacturing, there have been several purpose-built releases lately from companies like Nvidia and Databricks that a Read more…

Harnessing Hybrid Intelligence: Balancing AI Models and Human Expertise for Optimal Performance

Measuring metrics on AI models is important because it enables stakeholders to gain valuable insights into how well their algorithms achieve desired outcomes and uncovers potential biases, limitations, and areas for impr Read more…

Quantexa to Boost AI and Analytics Investment with Series E Round

Quantexa, a UK-based company that develops a decision intelligence platform designed to help banks, telecommunication providers, and government agencies uncover risks and opportunities hidden in their data, this week ann Read more…

Google Claims Its TPU v4 Outperforms Nvidia A100

A new scientific paper from Google details the performance of its Cloud TPU v4 supercomputing platform, claiming it provides exascale performance for machine learning with boosted efficiency. The authors of the resear Read more…

The Challenges of Current AI Architectures

Sponsored Content by DataStax

There’s a big problem faced by many organizations that are trying to unlock the promise of machine learning and artificial intelligence. The process of building and using machine learning architecture doesn’t move at Read more…

Milvus 2.3 Launches with Support for Nvidia GPUs

Zilliz has beta launched Milvus 2.3, the latest version of its open source vector database. Milvus 2.3 supports Nvidia GPUs which Zilliz says affords greater flexibility and improved real-time workload performance. Zilli Read more…

MIT Researchers Use Machine Learning to Speed Up Data Retrieval Hashing

A multi-institutional team of researchers led by MIT has found a new way to speed up data retrieval in large databases using machine learning. The researchers used machine learning to build better hash functions. Hash Read more…

Databricks Brings ML Serving into the Lakehouse

Databricks customers can now run their machine learning models directly from the vendor’s platform, eliminating the need to manage and maintain separate infrastructure for ML workloads like product recommendations, fra Read more…

Peak:AIO Cranks the Storage Throughput for Affordable AI Data Serving

Organizations that want to keep their pricey GPUs fed with data for machine learning training purposes but don’t want to break the bank with a big parallel file system installation may be interested in a fast new NFS-b Read more…

Comet Report Reveals Unique Challenges, New Reality for ML Practitioners

Comet, the maker of a machine learning development platform, has released a new survey report that found ML practitioners currently have a lot to contend with. “State of MLOps Industry Report: 2023 Machine Learning Read more…

AnyScale Bolsters Ray, the Super-Scalable Framework Used to Train ChatGPT

ChatGPT developer OpenAI is using Ray, an open-source unified compute framework, to ease the infrastructure costs and complexity of training its large language models. Anyscale, the company behind Ray, has made enhanceme Read more…

Are We Nearing the End of ML Modeling?

Josh Tobin, the co-founder and CEO of machine learning tool provider Gantry, didn’t want to believe it at first. But Tobin, who previously worked as a research scientist at OpenAI, eventually came to the conclusion tha Read more…

How To Know If MLOps Is Worth The Cost For Your Problem

Enterprise data intake is growing exponentially, and leaders are looking toward any automated solutions to prevent disarray and arm themselves for the future. Machine learning (ML) will unlock the potential of collected Read more…

HPE Acquires Pachyderm for Reproducible ML Capabilities

Hewlett Packard Enterprise announced it has acquired Pachyderm, a startup whose open source software automates reproducible machine learning pipelines for large-scale AI applications. The purchase price and terms of the Read more…

What’s Up with Cloud in 2023? Industry Predictions

The cloud is unavoidable these days, as it has become the default infrastructure for many data workloads. But cracks are appearing in the cloud’s walls, thanks to cost overruns and fear of lock-in. Those are just some Read more…

Analytics Predictions for 2023

The world is awash in data, and the pace of data generation is increasing. You don’t need a crystal ball to tell you that. But what will the new year bring in the field of big data analytics? We leave that to our panel Read more…

Mastering the Mesh: Finding Clarity in the Data Lake

Data lakes are great in theory, but their application in the real world often leaves the user wanting more. A data mesh is one approach to cleaning up chaos left by data lakes and the resulting swing back to data decentr Read more…

The Embedded Future of Analytics and AI

Data makes the world go round; you won’t get much argument from us on that. But if there’s one thing better than having the right piece of information, it’s having it at the right time. And that, in a nutshell, is Read more…

SageMaker Bolstered with Better Controls, AI Governance

AWS yesterday unveiled a host of enhancements for Amazon SageMaker, its end-to-end machine learning offering. Among the most prominent capabilities are a collection of new governance tools aimed at keeping ML projects on Read more…

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