Articles
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Jan 27, 2025 |
news.launchedtech.io | Jim Liddle
As enterprises step into an AI-first future, 2025 will be a defining year for navigating unprecedented opportunities and challenges. From safeguarding valuable data to ensuring readiness for AI-driven transformations and optimising ROI, organisations will need to focus on three critical pillars: security, data readiness, and cost management. Let’s explore these predictions and how they will shape the year ahead, with insights from my colleagues at Nasuni. 1.
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Jan 16, 2025 |
tbtech.co | Jim Liddle
As enterprises step into an AI-first future, 2025 will be a defining year for navigating unprecedented opportunities and challenges. From safeguarding valuable data to ensuring readiness for AI-driven transformations and optimising ROI, organisations will need to focus on three critical pillars: security, data readiness, and cost management. Let’s explore these predictions and how they will shape the year ahead, with insights from my colleagues at Nasuni. 1.
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Sep 23, 2024 |
node-magazine.com | Jim Liddle
Facing daily competitive pressures, European firms are investing heavily in cloud and AI-driven data strategies that work across data centres, edge locations, and public cloud infrastructures. However, their rush to the cloud and blinkered thinking over data infrastructures when implementing these strategies, could expose them to greater cybersecurity risks.
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Sep 5, 2024 |
tbtech.co | Jim Liddle
AI and machine learning offer exciting innovation capabilities for businesses, from next-level predictive analytics to human-like conversational interfaces for functions such as customer service. But despite these tools’ undeniable potential many enterprises today are unprepared to fully leverage AI’s capabilities because they lack a prioritised data strategy.
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Sep 5, 2024 |
tbtech.co | Jim Liddle
AI and machine learning offer exciting innovation capabilities for businesses, from next-level predictive analytics to human-like conversational interfaces for functions such as customer service. But despite these tools’ undeniable potential – Deloitte research indicates that 74% of firms are already testing AI technologies – many enterprises today are unprepared to fully leverage AI’s capabilities because they lack a prioritised data strategy.
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