Data
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Is AI Data Center Growth Sustainable? Not without Sustainability Strategies
In the heart of Toronto, a groundbreaking initiative is transforming the way we think about data centers and sustainability. Enwave’s…
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Reimagining Data Centers: Giving Back to Communities While Expanding Digital Infrastructure
Reports estimate that the global data center market will reach $452.53 billion in 2025, growing to $624.07 billion by 2029.…
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The Rise of Artificially Inflated Traffic in Business Messaging: Fighting Back Against AI Bot Attacks with Intelligent Datasets
Artificially Inflated Traffic (AIT) fraud is a growing concern in business messaging (A2P) that’s becoming a greater challenge with rising…
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Hanging in the balance – can our need for data ever run alongside sustainability targets?
In simple terms, AI is not good for the environment. While it may be streamlining processes, making us work smarter,…
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When Data Overwhelms and Decisions Lag, an Engineer’s Mission Transforms Lives Across Borders
In an era where nearly 328.77 million terabytes of data are created daily, organizations often find themselves drowning in information…
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Can one analyst’s inventive mind shift an entire industry’s perspective on data?
Each day, millions of decisions—ranging from which products to stock in a store to how best to route a fleet…
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Open Source: Powering the Future of Data Centres and AI
As digital infrastructure demands grow exponentially in 2025, the role of open source in reshaping data centre economics and scalability…
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The Modern Data Value Equation™ for Better AI Outcomes
Data clouds have revolutionized how businesses analyze, process, and store their historical customer data. To complete the ‘last mile’ of…
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The Dual-Edged Security Sword: Leveraging Open-Source AI and Data Tools
By leveraging open-source artificial intelligence (AI) and data tools, we are accelerating the possibility of innovations, reducing overall solution costs…
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Distributed Computing’s Competitive ‘Edge’ Simplifies AI and Large Language Models to Transform Data Processing
Large language models (LLMs) are heavily straining data infrastructure and challenging organizations to think differently about managing AI-driven workloads. Transferring…
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