How IT pros might learn to believe in AI-driven network-management
Explainable AI might overcome the distrust that enterprise network engineers have for AI/ML management tools that have the potential to streamline network operations.
"machine learning" news, interviews, and features
News about machine learning
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Google’s Vertex AI machine learning platform gets generative AI tools
The new updates to Google Cloud’s machine learning service will help the company square up against rivals such as Microsoft, AWS and IBM.
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DataStax’s new LunaML to support Kaskada deployment
Kaskada, acquired by DataStax in January, offers an open-source based unified events processing engine aimed at helping enterprises build real-time machine learning applications.
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The importance of monitoring machine learning models
Changing assumptions and ever-changing data mean the work doesn’t end after deploying machine learning models to production.
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13 open source projects transforming AI and machine learning
The open source world is ripe with projects to support software development on the frontiers of artificial intelligence and machine learning.
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AWS adds ML-powered analysis for serverless apps
Amazon DevOps Guru for Serverless uses machine learning to improve the operational availability and performance of AWS Lambda applications.
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Cisco upgrades target Kubernetes, cloud and AI/ML
Cisco has added new features to its Intersight cloud management system, UCS X-Series server, and HyperFlex hyperconverged system.
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New Relic expands enterprise full-stack observability to include MLOps
New Relic has updated its One platform to import data from different systems, monitor ML application performance and retrain models.
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AWS updates databases, AI and serverless offerings
At re:Invent, AWS unveiled updates to database, machine learning and serverless offerings designed to reduce complexity and cost.
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3 ways to use data, analytics and machine learning in test automation
Better testing means better software. Using NLP, test data generation, and optimised testing can quickly improve applications.
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Google Cloud tools aim to ease machine learning, cross-cloud analytics
GCP is offering new data and machine learning tools designed to clear up data inefficiencies and ease application development for enterprises.
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How data poisoning attacks corrupt machine learning models
Data poisoning involves tampering with and polluting a machine learning model's training data, impacting the ability to produce accurate predictions.
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8 ways to jump-start machine learning projects
From exploratory data analysis to automated machine learning, look to these techniques to get data science projects moving and to build better models.
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8 databases supporting in-database machine learning
While approaches and capabilities differ, all of these databases allow users to build machine learning models right where data resides.
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How secure are your AI and machine learning projects?
Artificial intelligence and machine learning bring new vulnerabilities along with their benefits. Here's how several companies have minimized their risk.
