Tag: ML
Snorkel AI Expands Platform with New Tools for Data-Centric AI
Snorkel AI recently announced updates to its flagship Snorkel Flow platform aimed at enhancing the customization of AI and ML models while minimizing the time, cost, and complexity involved in data preparation for enterp Read more…
Flexera 2024 State of the Cloud Reveals Spending as the Top Challenge of Cloud Computing
The economic uncertainties have led many organizations to invest in transformation technology such as GenAI. Meanwhile, managing costs remains a top priority. This makes it challenging for organizations to balance betwee Read more…
The Data Lakehouse Is On the Horizon, But It’s Not Smooth Sailing Yet
Data warehouses and data lakes serve clear and distinct purposes. Typically, data warehouses store structured data according to a predefined schema to generate fast query speeds for reporting purposes. Data lakes, on t Read more…
AWS Adds ML and Differential Privacy Features to Clean Rooms Service
The digital advertising and marketing industry relies heavily on collecting, storing, and sharing consumer data. The problem with that is that some of the online tools used for handling consumer data can be intrusive and Read more…
New Capital One and Forrester Study Reveals Key Challenges Of Democratizing Machine Learning
In a study commissioned by Capital One, Forrester Consulting surveyed 181 data and analytics and line of business (LOB) decision makers at North American companies about democratizing ML and the opportunities it presents 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…
IT Departments Keeping Data Science Purse Strings Tight, Domino Says
Company leaders want to use data science to drive revenue growth, but they’re not investing enough to make that happen, according to a new report from Domino Data Lab. The leading cause of the data science funding gap 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…
Sisu Unveils New AI & ML Features for Its Decision Intelligence Engine
Sisu has announced an expansion of its decision intelligence engine with new algorithms, integrations, and capabilities, including predictive analytics and anomaly detection. The company says its platform now automatical Read more…
Opaque Systems Raises $22M Series A to Boost Confidential Computing
Opaque Systems announced it has raised $22 million in Series A funding bringing its total financing to $31.6 million. The San Francisco-based firm is focused on enabling collaborative analytics and AI in confidential com Read more…
HPE Relaunches MapR Tech as Data Fabric Offering
HPE today unveiled GreenLake for Data Fabric, a new hybrid cloud data management solution designed to reduce challenges associated with data silos. The new offering, which piggybacks with a new private cloud solution HPE Read more…
What is Behavioral Data, and Why Should Businesses Use It?
What is behavioral data? Put simply, it’s what people and machines do. And with millions of connected devices – including smart phones, wearables, home appliances and more – in use every day, businesses now have un Read more…
How Intelligent Observability Unleashes Innovation
Companies are constantly on the hook to push the frontiers of innovation. Just look at what happens when businesses blunder modernization: Nokia rested on its hardware laurels without improving its cell phone software, X Read more…
Is Data-First AI the Next Big Thing?
We are roughly a decade removed from the beginnings of the modern machine learning (ML) platform, inspired largely by the growing ecosystem of open-source Python-based technologies for data scientists. It’s a good time Read more…
Gartner Shuffles the Technology Deck with Latest ‘Hype Cycle’ Report
It’s the penultimate week of August, the dog days of summer are in full swing, and not much is happening in the tech world (save for some Hot Chips). Therefore, it must be time for the much-anticipated 2021 Gartner Hyp Read more…
AI and ML for the Masses
Artificial intelligence is no longer the domain of Hollywood technothrillers, nor is it available only to the Fortune 500 or VC-backed startups. In fact, use of the technology has become increasingly common at companies Read more…
Databricks Now on Google Cloud
Databricks customers can now run their big data applications on Google Cloud, the companies announced today. The move gives Databricks’ customers another public cloud option besides Microsoft Azure and Amazon Web Servi Read more…
On-Ramp to AI: The Path to Democratize AI Starts with One Class
Artificial Intelligence (AI) is like a superhighway, it’s moving fast, evolving, and growing quickly. Like most things in life, data scientists are not born with AI and Machine Learning (ML) knowledge. They learn it. Read more…
Altair Shows Off Converged Analytics Lineup
If you’re in the market for analytics or machine learning software, you may want to keep your eyes on Altair Engineering. Best known for its product simulation and computer aided engineering software, Altair has quietl Read more…
Machine Learning Market Demonstrates Solid Growth
Machine learning technologies and techniques are giving organizations powerful new ways to utilize the vast amounts of data they’re collecting. According to several reports, ML spending is increasing at a compound annu Read more…