Tag: machine learning
Data and Algorithms: The Building Blocks of Artificial Intelligence
At its core, Artificial Intelligence (AI) is the product of two components –the first is data and the second is algorithms. Diverse types of algorithms exist, each potentially displaying a level of complexity. Among th Read more…
Why Samsara Picked Ray to Train AI Dashcams
When the engineers at Samsara began building their first smart dashcam several years ago, they found themselves using a series of different frameworks to collect data from the IoT devices, train the machine learning mode Read more…
Unlocking the Potential of AI and ML in Healthcare Today
The integration of artificial intelligence (AI) and machine learning (ML) in healthcare has brought about remarkable advancements in patient care, diagnosis, and treatment. These cutting-edge technologies have revolution Read more…
DataRobot Announces New Enterprise-Grade Functionality to Close the Generative AI Confidence Gap and Accelerate Adoption
DataRobot, one of the leading providers of AI solutions for enterprises, has announced new updates to close the generative AI (GenAI) confidence gap and to accelerate AI solutions from prototype to production. The update Read more…
It’s a Snowday! Here’s the New Stuff Snowflake Is Giving Customers
Snowflake made a slew of announcements today during its “Snowday 2023” launch event, including a new generative AI offering dubbed Cortex, updates to its Snowpark environment for traditional machine learning, support Read more…
KNIME Releases a State of Data Science and Machine Learning Survey
KNIME, a data science company focused on making analytics accessible to all, in collaboration with Enterprise Strategy Group (ESG) released a survey on the state of data science and machine learning. ESG is a research, v Read more…
Landing AI Seeks Speed and Simplicity for Computer Vision Apps
It may surprise you to learn that, despite the massive hype around large language models, investments in computer vision AI continue to be made. One of the companies accelerating development in this field is Andrew Ng’ Read more…
Duet AI Goes Everywhere in Google’s Cloud
Google Cloud introduced several more uses for Duet AI, the AI interface unveiled earlier this year. Data engineers will be singing duets with integrations for BigQuery, AlloyDB, and Cloud Spanner, while data analysts wil Read more…
Virtualitics Takes Data Viz Tech from Stars to Wall Street
You can’t know what you can’t see. That sums up the approach to data by Virtualitics, which was spun out of Caltech to commercialize AI-powered data visualization technology originally developed for astronomy. With t Read more…
Zoom Data Debacle Shines Light on SaaS Data Snooping
Zoom upset customers when it failed to properly inform them it was using audio, video, and transcripts of calls to train its AI models. Are similar data pitfalls lurking for other software providers? Zoom was forced i Read more…
Why LLMOps Is (Probably) Real
The jury is still out whether MLOps will survive as a discipline independent of DevOps. There are some who believe MLOps is real, and others who don’t. But what about LLMOps? There are indicators that practitioners nee Read more…
Salesforce Goes BYOM for AI
Salesforce today launched Einstein Studio, a bring-your-own-model (BYOM) AI development tool that allows customers to bring AI models they have already developed on Amazon SageMaker or Google Cloud Vertex AI to bear on t Read more…
DataRobot CEO Sees Success at Junction of Gen AI and ‘Classical AI’
What’s the next generation of enterprise AI going to look like? If you ask DataRobot CEO Debanjan Saha, enterprises will see the most business benefits by combining new generative AI tools and techniques with the class Read more…
What Is MosaicML, and Why Is Databricks Buying It For $1.3B?
Databricks shocked the big data world last week when it announced plans to acquire MosaicML for a cool $1.3 billion. With just $1 million in revenue at the end of 2022 and $20 million so far this year, some speculated th Read more…
The Demand for AI/ML Skills Is Growing
The digital skills gap persists, with a growing number of workers unprepared for the continuing digital transformations of companies around the globe and across business sectors. And right now, the shortage is particular Read more…
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…
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