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1 month ago | 
msp-channel.com | Mark Molyneux |Emea Cto
Effective data hygiene begins with proper indexing and classification. When data is accurately indexed, businesses gain a comprehensive understanding of each file—its creation date, author, size, and more. By adding classification, companies can easily determine what the data represents and how it should be handled in compliance with regulations and company policies. The consequences of this are significant.
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1 month ago | 
sdc-channel.news | Mark Molyneux |Emea Cto
Effective data hygiene begins with proper indexing and classification. When data is accurately indexed, businesses gain a comprehensive understanding of each file—its creation date, author, size, and more. By adding classification, companies can easily determine what the data represents and how it should be handled in compliance with regulations and company policies. The consequences of this are significant.
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1 month ago | 
digitalisationworld.com | Mark Molyneux |Emea Cto
Effective data hygiene begins with proper indexing and classification. When data is accurately indexed, businesses gain a comprehensive understanding of each file—its creation date, author, size, and more. By adding classification, companies can easily determine what the data represents and how it should be handled in compliance with regulations and company policies. The consequences of this are significant.
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Dec 8, 2024 | 
digitalisationworld.com | Ann Maya |Emea Cto
As we look towards the enterprise of 2050, it’s clear that businesses will transform in ways we can only begin to imagine today. These future businesses will be incredibly complex, hyper-connected, and driven by countless AI-powered solutions, all working together to provide innovative services and insights. This shift promises to bring new opportunities, but it also introduces significant challenges - especially when it comes to security.
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Sep 11, 2024 | 
digitalisationworld.com | Elliott Young |Emea Cto
Data is quickly becoming one of the most valuable raw materials in the production of generative AI (GenAI) strategies. But, like any other raw material, data starts as an unrefined substance and must be adequately processed before it can produce relevant outputs. Just like chemists eager to turn substances into a finished product, organisations are increasingly keen to convert data into actionable AI-driven insights.
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Aug 27, 2024 | 
europeanbusinessmagazine.com | Dael Williamson |Emea Cto
By Dael Williamson, EMEA CTO,DatabricksInterest in implementing AI is truly global and industry-agnostic – yet few companies have established the foundational building blocks that enable AI to generate value at scale. While each organisation and industry will have their own specific challenges that may impact AI adoption, there are four common barriers that all companies tend to encounter: People, Control of AI models, Quality, and Cost.
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Apr 29, 2024 | 
digitalisationworld.com | Dael Williamson |Emea Cto
The past few years saw companies aggressively pursuing investments in AI. Every company surveyed in a recent MIT report stated that they plan to increase their AI spending over the next year, with half saying it will increase by over 25%. So, how can companies ensure they are keeping pace with this AI innovation race, whilst being conscious of finite resources?
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Dec 22, 2023 | 
futuresparity.com | Mark Molyneux |Emea Cto
Rupal Karia, VP - UK&I at UiPath The perception of the finance industry has long been that the established brands are chasing the agile challengers. The assumption that challengers don't have the issue of legacy systems, specifically in relation to customer communication and journeys, however, is no longer accurate. In the technology of the finance industry, innovation moves, and ages, fast.
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Dec 22, 2023 | 
futuresparity.com | Mark Molyneux |Emea Cto
Rupal Karia, VP - UK&I at UiPath The perception of the finance industry has long been that the established brands are chasing the agile challengers. The assumption that challengers don't have the issue of legacy systems, specifically in relation to customer communication and journeys, however, is no longer accurate. In the technology of the finance industry, innovation moves, and ages, fast.
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Dec 21, 2023 | 
futuresparity.com | Mark Molyneux |Emea Cto |Kubair A Shirazee |Rafael S.Lajeunesse
The perception of the finance industry has long been that the established brands are chasing the agile challengers. The assumption that challengers don't have the issue of legacy systems, specifically in relation to customer communication and journeys, however, is no longer accurate. In the technology of the finance industry, innovation moves, and ages, fast.
