Key topics in this article… In high-stakes, regulated industries, the promise of artificial intelligence (AI) is undeniable — faster decisions, deeper insights, and greater efficiency. But when lives, compliance, and critical operations are on the line, the question isn’t whether to use AI, but how to use it responsibly. Cutting-edge algorithms and powerful language models […]
Key topics in this article… Generative AI can offer significant benefits across all stages of a business’ supply chain, but it’s crucial to acknowledge and address the associated risks that this AI implementation can create both upstream and downstream within your supplier network. By adopting robust risk management strategies, businesses can harness the power of
Generative AI Risk Management Strategies for a Resilient Supply Chain Read More »
New research has found that lack of trust and doubts about reliability are two of the most significant challenges facing AI adoption among workers. Highlighting significant concerns that need to be addressed for organisations to reap the benefits of AI. The YouGov research surveyed more than 2,100 working adults in the U.S. and UK in
Why Trust and Reliability are Critical to AI Adoption in the Workplace Read More »
Enterprise artificial intelligence, particularly large language models (LLMs) and generative AI, continues to permeate across many industries, with adoption looking to accelerate during 2025. These models have demonstrated impressive capabilities in generating human-quality text, translating languages, and even writing different kinds of creative content. However, despite Gen AI advancements, accuracy in these models remains a
Addressing Accuracy Limitations of Gen AI and LLMs Read More »
AI is rapidly altering the landscape of the job market. While some may view this change with apprehension, fearing widespread job displacement, it’s crucial to recognise the transformative potential of AI as a powerful collaborator, not a competitor. By analysing the evolving work landscape, the reskilling required, and the types of roles potentially impacted by
The AI Augmented Workforce – Reskilling in the Generative Age Read More »
As Artificial Intelligence rapidly transforms industries, many organisations are exploring its potential to reshape business processes and boost efficiency. In a recent report, Accenture found that 90% of companies are actively investigating AI or generative AI capabilities. However, the findings also indicate a critical gap in AI readiness, with fewer than 2% of companies investing
The Urgent Need for Responsible AI: Why Less than 2% of Companies are Fully Prepared Read More »
Sourcing training data for AI models has rapidly become one of the most significant challenges for the growing industry of Generative AI. Companies like OpenAI, Google, Meta, Anthropic, and Microsoft are aggressively seeking new data sources to refine and enhance their artificial intelligence capabilities. However, this pursuit is increasingly leading to legal battles over the
Copyright Lawsuits Against OpenAI and Other Tech Giants: A Growing Concern Read More »
Public trust in artificial intelligence (AI) is on the decline, despite its potential to revolutionize various sectors from healthcare to environmental sustainability. Data from the recently published 2024 Edelman Trust Barometer highlights a worrying trend, with public trust in companies developing and deploying AI dropping significantly in the past five years, falling from 61% to
AI has a PR Problem: Building Trust in an Age of Automation Read More »
Generative AI (GenAI) is poised to revolutionize healthcare, offering improved diagnostics, personalized treatment plans, and enhanced operational efficiency. However, its implementation necessitates careful consideration of both its potential and pitfalls. A recent HIMSS24 panel discussion highlighted the excitement surrounding GenAI, while acknowledging the importance of responsible integration. Experts emphasized the need for robust data security
Why AI Guardrails are Crucial for Ethical Generative AI in Healthcare Read More »
Environmental, Social, and Governance (ESG) reporting has become a non-negotiable for businesses navigating the increasingly conscious and informed landscape. But in the age of pervasive Artificial Intelligence (AI), transparency goes beyond carbon footprints and boardroom diversity. We need Responsible AI Reporting, and we need it now. AI algorithms power everything from hiring decisions to loan
Why Responsible AI Reporting is the Missing Piece in Your ESG Strategy Read More »
