Visual comparison of clean versus dirty data showing the impact of data quality on AI accuracy. Why artificial intelligence succeeds or fails long before it produces an answer Artificial intelligence is often presented as a triumph of computation. In reality, it is a test of organisational clarity. When AI systems underperform, the cause is rarely a lack of sophistication in the model. More often, it is confusion upstream: data that is incomplete, inconsistently defined, lega

Forward Deployed Engineering (FDE)  is the practice of embedding engineers directly into real-world operations to turn complex, high-stakes problems into AI systems that actually work where it matters most. The next wave of AI success won’t be defined by better models, but by how well AI is embedded into real production operations. Forward Deployed Engineering (FDE) flips the traditional software playbook by embedding engineers directly with users, teams, and decision-makers.

Data as a raw asset valuable, difficult to extract, and risky without proper governance and control. January 1st 2026 Data has long been described as “the new gold.” The phrase is tired, but the underlying idea is no longer metaphorical. Across industries, data is being treated less as exhaust from operations and more as a core productive asset—fuel for automation, analytics, artificial intelligence, and strategic decision-making. Yet there is an uncomfortable mismatch betwee

AI is no longer just assisting work—it’s accelerating hours of human effort into minutes, reshaping how autonomy must be governed Recent evaluations by of Anthropic’s newest Claude  model mark an important shift in how advanced AI systems are assessed. Rather than focusing on accuracy scores or benchmark rankings, METR evaluates how much real-world work  an AI system can reliably perform over time. This approach is especially relevant for organizations moving from pilots to r

Data alone isn’t enough. Learn how metadata gives context, trust, and meaning to data and why it’s foundational for analytics, AI, and governance.

Streamline your business processes with Microsoft 365 Copilot's new Frontier Agents, enhancing workflow automation for increased productivity. However, have you assessed the risks associated with using it? Are you aware of the AI tools already in your environment — and what they could  do without proper security oversight?  With the rapid proliferation of AI-driven automation, tools that once sat quietly in the background are now capable of initiating actions on your behalf —

How Google Workspace and Gemini are unlocking AI capabilities for organizations. Real Lessons from Google Workspace + Gemini Customers Artificial intelligence has moved quickly from theory to real business impact. But beyond the hype, organizations of all sizes are finding practical ways to boost productivity, collaboration, and innovation  with AI embedded in the tools they use every day. A recent Google Workspace blog post highlights 128 ways that customers are transforming

Build an AI strategy that actually works. Learn how to stay practical, assess your foundation, budget intelligently, set real timelines, and implement governance that makes AI safe, scalable, and impactful. A free, no-nonsense guide from Venra Labs.