NEWS

Machine learning via managed service

Calligo launches 'world’s first' managed service to make machine learning accessible to any business.

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NEWS

IEEE highlights importance of AI, ML, 5G and IoT

Chief information officers and chief technology officers surveyed on 2021 opportunities, challenges and key technology trends.

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BLOG

Key Trends Framing the State of AI and ML

By Rachel Roumeliotis, VP of Data and AI at O’Reilly.

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NEWS

ADE plans divided between immediate investments and the future

Respondents around the world highlight the immediate need for data to drive decision-making for greater efficiency, while future plans are focused on investments for agility.

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NEWS

AI and ML tools target advanced threats

Micro Focus has published the 2020 State of Security Operations report, which reveals that security operations centres (SOCs) across the globe are most concerned with advanced threat detection and are increasingly looking to artificial intelligence (AI) and machine learning (ML) technologies to proactively safeguard the enterprise.

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Data Science Platform boosts infrastructure behind NetApp’s Active IQ solution, responding in...
Organisations will need to overcome challenges to scale the technology.
Celonis has introduced the Celonis Intelligent Business Cloud. The Celonis Intelligent Business...
Rackspace Technology has published the results of a global survey that reveals that the majority of...
Microsoft Azure customers worldwide now gain access to Dataiku, giving companies large and small an...
Deep machine learning method can predict molecular wave functions and electronic properties of...
Latest Video

LinkedIn Automates All of the Easy Things, and Makes all of the Hard Things Easy

Hear LinkedIn’s senior SRE, Todd Palino, share how the company continually improves the state of its infrastructure, so that the developers who are rolling out applications have a framework that they can do it within, and they can do it safely. LinkedIn currently generates over 50 terabytes a day of unique metrics on applications. No human is going to look at 50 terabytes a day of data and get anything useful out of it, so LinkedIn relies on systems give them some useful signal out of all that noise. By moving down the road of machine learning, LinkedIn can now do anomaly detection using machine learning models.

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