Tag: machine learning
Will Gen AI Help the Texas Rangers Win the World Series in ’23?
The Texas Rangers are one of six MLB teams that hasn’t won a World Series. If they win it all this year--and they are currently leading a surprisingly competitive AL West at the season’s midway point with one of the Read more…
The Three Approaches to AI Implementation
There are three approaches to AI implementation emerging: the typical do-it-yourself approach where you do everything yourself that has the highest potential for failure; a services-based approach as highlighted by Lenov Read more…
Databricks Unleashes New Tools for Gen AI in the Lakehouse
Fresh off its announcement of the acquisition of MosaicML on Monday, Databricks today unleashed a torrent of new AI capabilities at its Data + AI Summit designed to enable its customers to create generative AI applicatio Read more…
How to Manage ML Workflows Like a Netflix Data Scientist
Data scientists want to do data science. It’s right there in the title, after all. But data scientists often are asked to do other things besides building machine learning models, such as creating data pipelines and pr Read more…
Classifier Tuning is BigID’s Solution to Boost Data Classification Accuracy
BigID has made it easier to adjust classification machine learning models in real time, thanks to a new feature of its data intelligence platform called classifier tuning. Classifier tuning will allow users to manuall Read more…
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…
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