Big ideas, smaller language models: how to get the most out of genAI
Since the debut of ChatGPT nearly two years ago, most businesses have at least dabbled with generative AI. Yet, for many, the initial excitement around large language models (LLMs) has given way to a more practical concern: how to prove their tangible value within the enterprise. LLMs gained global recognition for their flexibility, producing content […]
Mitigating AI Bias: The hidden challenge
Artificial Intelligence (AI) is transforming the way businesses operate across the UK, offering tools that can manage customer service inquiries, automate tasks, analyse huge amounts of data, and even make decisions. Last year, 60% of large UK enterprises and 35% of small and medium-sized businesses were already using AI in some form and, according to a report […]
Striking the right balance between AI innovation and evolving regulation
Since the dawn of the digital age, privacy concerns have continued to grow in significance. But the recent explosion in AI has only intensified these concerns, with 70% of businesses reporting at least a 25% annual increase in data generation. And this explosion in AI is radically changing how organisations approach privacy. Why? Because generating […]
Can responsible AI live in the cloud?
The starter pistol for AI has fired and cooled. The smoke has cleared, and organisations everywhere are starting to dig in for the long-term and take their corners carefully. If anything, this is the more exciting period: the noisy furore has ended, and we are now seeing the real power and value that AI can […]
Empowering Innovation: How Private AI Gives Organisations Control
The past year has seen a surge in enterprise AI adoption, propelled by the widespread introduction of generative AI. Organisations and governments are rapidly developing AI strategies, motivated by potential advantages and market competition. According to IDC, AI spending is projected to increase from $175.9 billion in 2023 to $509.1 billion by 2027, representing a […]
Do Search Engines Hold the Solution to Creating Trustworthy AI?
Generative AI’s problem in a business context is a simple one: trust. Because of AI ‘hallucinations’, where chatbots can create false or misleading answers, business leaders are hesitant to adopt the technology, despite benefits for efficiency, productivity and improved customer service. Since ChatGPT arrived in late 2022, business leaders have been grappling with the problem […]
Bridging the AI gap between techs and execs
The potential of generative AI to transform business operations for the better is increasingly being recognised. From customer services to forecasting, to internal operations, if used properly, this technology can bring huge efficiencies to these areas and more, giving valuable insights as well as time back to employees. However, there is a considerable hurdle standing […]
Turning Compliance into Strategy: 4 Tips for Navigating AI Regulation
The rapid acceleration of AI, particularly generative AI, has transformed the digital landscape. Critical business functions like procurement, finance, and legal have since embraced AI to address financial challenges, improve efficiency, and create greater value within the enterprise. Notably, 44 percent of Chief Procurement Officers have led AI adoption efforts in the past 12 months, […]
Navigating the Challenges of AI in Software Development: A Call to Action to Comply with the EU AI Act
The Threat In today’s rapidly evolving software development landscape, Artificial Intelligence (AI) and Machine Learning (ML) have emerged as significant threat vectors. Organizations worldwide are witnessing a surge in targeted attacks aimed at software developers, data scientists, and the infrastructure supporting the deployment of secure AI-enabled software supply chains. Reports of attacks on development languages, […]
Why AI isn’t just hype – but a pragmatic approach is required
After all the headlines we have read about how amazing Artificial Intelligence (AI) is and how businesses would literally stagnate if they didn’t have it, it was interesting to read this article in Forbes, who suggest that AI stock is showing “bubble”-like tendencies and may soon experience a sharp correction as businesses struggle to operationalise AI. […]