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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Amazon HealthLake enables healthcare organisations to store, transform, and query health data in...
Low-code development leader announces new AI-powered features, executive hires, and partnership...
Ziften’s endpoint protection platform uses proprietary machine learning in all phases of the...
International Data Corporation (IDC)has publishd its worldwide information technology (IT) industry...
Auto industry plans to make 44% of its factories smart in next five years – but companies must...
Collaboration speeds up critical functions such as image recognition and inferencing at the edge.
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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