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Learn more about the products designed and built by our team at The Virtual Forge.
Being able to travel through the dazzling complexity of each sector and industry comes with one thing: experience. And we do have that.
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AI adoption is accelerating across every sector, but the majority of organisations are moving without the strategic foundations that determine whether investment delivers lasting value. Understanding where you actually stand on AI readiness is the most important step you can take before committing further resources.
Our professionals decided to share some critical components for custom software in enterprise learning. There is a wide range of solutions, but we will focus on 3 essential solutions most applicable to many teams.
In this article, we will discuss the importance of Power Query optimization best practices and why these are best practices.
The Virtual Forge is delighted to announce the opening of two new offices—one in Reading and another in Philadelphia.
2023 was different. A year that stands out from any other year in The Virtual Forge’s history. Don't forget to watch our "Year in Review" video right at the end!
In this blog post, we want to share why we choose to use React, and why The Virtual Forge are confident in React having a strong and robust future ahead of it.
In part 1 of this series, we discussed some relevant background information on computer vision and how to build a computer vision model in Azure. In part 2, we’ll show you step-by-step how to integrate your Custom Vision model into a mobile app you build from scratch using Microsoft Power apps low-code platform.
Most organisations begin their AI journey focused on tools, models, and use cases. The ones that succeed start somewhere else entirely: with the quality, structure, and accessibility of their data. Without that foundation in place, even the most capable AI systems will underperform.
AI makes it possible to produce content faster than ever before, but speed without oversight creates significant organisational risk. Enterprises that adopt AI without a structured governance framework are exposing themselves to misinformation, regulatory scrutiny, and reputational damage they may not see coming.
As AI data centers rapidly expand their environmental footprint, The Virtual Forge demonstrates how cloud monitoring tools, strategic hardware sourcing, and operational best practices can reduce carbon emissions whilst delivering effective AI solutions for clients.
AI in business is creating clear winners. Executives and experienced professionals who can leverage it effectively benefit, while entry-level workers face shrinking opportunities and steeper barriers. Understanding this divide is essential for companies aiming to implement AI thoughtfully and build sustainable workforce strategies.
AI implementation costs extend far beyond the initial price tag: hidden expenses in data management, security, training, and organizational change can significantly impact your ROI. Discover how to navigate these complexities and ensure your AI investment delivers sustainable value through strategic planning and comprehensive cost management.
Starting your first AI project can be a daunting task with so many tools, technologies, and possibilities available. In this article, we break down how to get started with key steps, best practices, and offering insights on how to approach AI with realistic expectations and strategic planning for impactful outcomes.
AI agents are moving from research papers and conference presentations into live enterprise workflows. The organisations that benefit most will not be those that move fastest, but those that build with the engineering discipline, governance, and strategic clarity that make the difference between a promising pilot and a system that reliably delivers.
Off-the-shelf SaaS platforms have made it easier than ever for businesses to adopt new technology quickly. But for organisations with complex processes, growing data needs, and ambitions that outpace what generic tools can support, those same platforms eventually become the bottleneck.
AI coding tools like GitHub Copilot and ChatGPT generate functional code at unprecedented speed, yet research reveals a troubling pattern: developers using AI assistants write significantly less secure code whilst becoming more confident in its quality. Enterprise teams accelerating development with AI face a critical choice: implement rigorous human oversight or accumulate dangerous technical debt masked by apparent productivity gains.
Enterprise AI investment soared to £252 billion in 2024, yet 88% of proof-of-concepts never reach production. The gap between promising pilots and operational systems isn't technical capability; it's the systematic failure to build production-grade infrastructure before experimentation begins. Organisations that ship AI successfully don't pilot differently; they architect differently.
The era of the static five-year plan is over, replaced by dynamic systems that turn data into immediate strategic action. AI-driven simulation and real-time intelligence are redefining competitive advantage, transforming strategy from an annual event into a continuous capability.
Meet the women behind VF... Today we have the profile of Nicola Goldie, our Senior Client Relationship Manager.
Meet the women behind VF... Today we have the profile of Anita Kelly, our Head of Projects, Design and Delivery.
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