How are LLMs and Generative AI Changing the Future of Finding Insights from Data?
Large Language Models and generative AI tools have transformed the way organisations bring order to the vast amount of online and offline data available. AI can narrow down this data universe to a concise summary of only the most relevant results, which allows...
How Consultants Can Use AI to Turn Market Triggers into New Business Opportunities
In consulting, every opportunity starts with a market trigger, whether it be a change in leadership, a new industry regulation or an unexpected shift in investor sentiment. These trigger events can open doors for advisory work if you spot them early, understand...
Why AI projects fail: 8 common obstacles to success
Nearly 9/10 executives consider investing in AI and data to be a top priority for their company. But 8/10 of those initiatives are likely to end in failure. In this post, we explore the key reasons behind why so many AI projects don't achieve success and how...
Ensuring Trusted Generative AI Responses with Retrieval Augmented Generation: The Importance of Pulling Original Sources
Generative AI’s potential for companies is well-known, but the technology can create new risks if it is not powered by original and trustworthy data sources. In the second blog in our ‘RAGs to Riches’ series, we explore those risks; highlight best practices around...
What is RAG and Why Does It Matter for Trusted Generative AI?
Generative AI is widely predicted to transform almost every industry and use case, and companies spent more than $20 billion on the technology last year. But it also exposes these firms to new risks if not implemented strategically. In the first of two blogs in...