Artificial Intelligence

Artificial Intelligence Insights

Dive into our comprehensive collection of AI and machine learning content designed for business leaders and technical practitioners. We cover everything from foundational AI concepts to advanced implementation strategies, helping you understand how artificial intelligence can drive value in your organisation.

Our AI resources explore practical use cases across industries, ethical considerations, AI strategy development, and MLOps best practices. We demystify complex AI concepts and provide actionable guidance for businesses looking to adopt AI technologies effectively.

Whether you’re exploring AI for the first time or scaling existing AI initiatives, our content covers essential topics including quick wins with AI, responsible AI implementation, understanding AI capabilities and limitations, and building an AI-ready culture in your organisation. Learn from real-world examples and expert insights to navigate your AI journey successfully.

Most Innovative Woman in Artificial Intelligence - UK

Acquisition International is Proud to Announce the Winners of the 2019 Influential Businesswoman Awards

Why do you need business intelligence?

How quickly could you answer the question, "How's your business doing?" if it was asked right now? How detailed would your answer be, and how confident would you be in your answer? If you were utilising business intelligence, your answer would be fast, comprehensive and accurate.

How to score your first AI quick wins: FAQ chatbots

AIFightsBack webinar Augmenting Customer Service with Chatbots 16 April at 15.00 is now over. Check out our video and slide and slide

Removing AI bias for better decision making

It is difficult to deny that humans make biased decisions. Unconsciously we all make choices that are based on prejudices and flawed associations. This bias that we introduce to our business decisions can trickle through entire organisations, from recruitment to market segmentation. AI, with its lack of consciousness, human experience and gut feelings, has the potential to remove bias from businesses, and yet all too often AI is found to exhibit the same biases - link no longer works that we do.

How AI in marketing is enhancing B2B sales

At the end of 2018, Salesforce - link no longer works reported that adoption of AI by marketers had grown by 44% last year, and that adoption rate is unlikely to slow anytime soon. With marketers showing "extensive interest" - link no longer works in exploiting AI for their roles, more and more tools are becoming available to support companies on their journey to smarter marketing. AI is transforming the way companies market their products and services to other businesses, streamlining processes at all levels of the sales funnel.

What to watch for in the FinTech startup industry

If anyone has raced ahead with AI adoption, it’s the finance industry. The rise of AI goes hand in hand with the wave of FinTech services and applications that have surfaced in recent years. From automating the approval of loan applications and spotting fraud to personalised services and cryptocurrencies, these applications save time, reduce errors and ultimately save money. This makes them a lucrative investment for banks, who seem to be at the forefront of the AI revolution, showing other industries that making bold changes and engaging with these technologies is worthwhile.

How can you attract the best AI talent from a limited pool?

According to research by MMC Ventures - link no longer works, demand for AI talent has doubled in 24 months, faster than the talent pool can keep up. As of 2019 there was one AI professional for every two available jobs, so building a team of AI developers for your organisation requires both focused recruitment and a sound retention strategy.

Let your business strategy drive AI adoption

To reveal the tactics and behaviours of companies that are getting the most out of AI, MIT Sloan Management Review and Boston Consultancy Group undertook a survey of more than 2500 executives alongside 17 expert interviews in their 2019 report, Winning with AI - link no longer works. One of their findings was that while 9 out of 10 respondents saw AI as an opportunity for their company, the perceived risk of AI is on the rise, with 45% of respondents reporting perceived risk from AI (compared to 37% in 2017).

Decoding the hype around AI

As the powers and capabilities of Artificial Intelligence (AI) expand and evolve, the same cannot be said for the general understanding of the topic. This has resulted in AI becoming a blanket term that gets misused and thrown around for all things, including things that it’s not. People also have very unrealistic expectations of what AI can do leading in some cases to fear and paranoia over things like potential world domination, in others, disillusion when the AI doesn’t perform to the high standards they were hoping.

Can AI outperform medical professionals in diagnosis?

Last year the Guardian - link no longer works reported that AI is 'equal to humans in medical diagnoses' when interpreting images, referring to a study published in Lancet Digital Health. The study revealed that AI 'deep learning' systems were able to detect disease 87% of the time and correctly gave the all-clear in 93% of cases (the equivalent success rate in healthcare professionals is 86% and 93%). This means that AI in healthcare is on track to support medical professionals, leading to faster, cheaper diagnoses and drug development. This will allow healthcare professionals to achieve more with their time and help more people.

Artificial Intelligence