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Machine Learning Expert Opinions News Videos

NEWS
Scared of ML or AI? They’re probably the technologies that will improve your security

By Joe Baguley, VP & CTO EMEA, VMware.

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NEWS
Machine Learning - success starts with these 10 steps

“Machine Learning (ML) can take an organisation’s digital transformation to new heights” — It’s a statement we hear time and time again, but in practice, it doesn’t achieve that warm and fuzzy turn-key transformation feeling the statement asserts. By Santiago Giraldo, Director of...

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NEWS
Human Digital Twin: The digital counterpart to the human worker

By Axel Schmidt, Senior Communications Manager, ProGlove.

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NEWS
Limiting the use of Machine Learning & Artificial Intelligence for better results

Machine learning (ML) has been often touted as the big thing that can solve nearly every problem. ML hype has washed over all walks of life - from business to academia. However, it has caused tunnel vision as businesses try to apply machine learning to context where other solutions would work...

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NEWS
Machine Learning success starts with these 10 steps

By Santiago Giraldo, Director of Product Marketing at Cloudera.

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NEWS
Three reasons why machine learning and artificial intelligence projects fail - and how to avoid them

By Gaurav Bajaj, Vice President at Secondmind.

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NEWS
The new enterprise data dilemma

Data analytics and ML in a multi-cloud enterprise. By Vinay Wagh, Director of Product at...

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NEWS
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
Deploying Machine Learning Models to Maximise Business Impact

Building ML Models may be ‘Data Fun’ but using them to support the business is where the value...

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NEWS
How to cultivate a data-driven culture with the help of machine learning and ‘smart search’

These days, data is viewed as the lifeblood of organisations. Gartner has been heavily focused on...

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NEWS
How Machine Learning just made software testing smarter

By Eran Kinsbruner, Chief Evangelist, Perfecto (by Perforce).

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NEWS
Next generation machine learning powered by graph analytics

Machine learning is computationally demanding, not just in terms of processing power but also the...

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Videos

AI - time for a rethink?

Claire Keelan, UK MD at Onnec, is warning that the UK will fall short of its AI ambitions and data centre expansion targets, unless it tackles the growing workforce shortage by tapping into underused talent...

Why getting AI right matters more than getting there first: lessons in automation culture and service delivery

In this interview, Dr. Brian Luckey, Chief Information Officer, and Kris Laskarzewski, Chief Transformation Officer at Integris, discuss the realities of embedding AI into a services business. From 'fail fast'...

Spark set to revolutionise the IT service desk

Denis Schertenleib, Nexthink’s Senior Director of Product, believes that the IT service desk won’t survive the next five years and that agentic AI will be the future of IT support. He also discusses...

Edge observability takes centre stage

Arturo Oliver, Sr. Director of Market Strategy & Analyst Relations at ScienceLogic, discusses why the edge is becoming the new frontier for observability- and what that shift means for enterprises trying to...

News

Navigating the silent accelerator: shifting enterprise IT risk

As automation expands, businesses face unforeseen internal risks within their IT landscapes, threatening digital transformation and operational resilience.

Infosecurity Europe 2026: the expanded Channel Zone and its significance

Infosecurity Europe unveils the expanded Channel Zone, spotlighting the critical role of partner resilience and managed services in modern cybersecurity.

Targa Telematics enhances connectivity with Equinix data centre move

Targa Telematics migrates its systems to Equinix data centres, aiming to enhance security, scalability, and sustainability for global expansion.

NTT DATA and Ericsson collaborate on 5G-enabled AI solutions

NTT DATA and Ericsson collaborate to deploy enterprise private 5G networks, enabling edge AI and physical AI applications across multiple industries.

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