Human-centred AI: Building adaptive, future ready AI enabled organisations скачать в хорошем качестве

Human-centred AI: Building adaptive, future ready AI enabled organisations

Why do 70% of digital transformations fail, and why do only 1 in 10 AI initiatives actually achieve a sustainable ROI? In this webinar, Adam Hadley and Wanda Haddock dive into the reality of enterprise AI adoption. The truth is, building a future-ready organisation isn't about the technology. It’s about your people, their psychology, and your underlying business processes. Whether you are a business leader, a founder, or a tech professional, this session breaks down how to move past "innovation paralysis" and overcome the human resistance that stalls AI projects. [00:00] Introduction: Adam Hadley opens the webinar on building future-ready AI organisations and outlines the agenda before handing over to his colleague, Wanda. [00:46] AI as Hyper-Speed Innovation: Wanda discusses AI's rapid pace of innovation, contrasting IBM's agile Skunk Works division with Kodak's failure to adapt to digital disruption. [02:55] The State of AI Adoption and ROI: Studies reveal that 70% of digital transformations fail due to human resistance, and only 1 in 10 AI initiatives achieve sustainable ROI. [03:56] Key Barriers to AI Innovation: Organisations struggle because rigid legacy systems prevent rapid iteration, people experience identity threat (fearing obsolescence), and there is a critical lack of integrated upskilling during project rollouts. [10:28] AI Transformation Approach: Wanda details a framework emphasising mindset, strategy, and action, stressing that solid people and culture foundations are required before layering on AI technologies. [15:13] Agile Project Management for AI: Adam highlights that failure in innovation is mandatory but must be manageable, advocating for short, sharp sprints that deliver tangible value early to build trust. [18:11] Avoiding the Pitfalls of Traditional Approaches: Heavy, multi-year IT scopes often fail because technology outpaces the deployment timeline; targeted proof-of-concepts act like "Trojan horses" to win political capital and team buy-in. [25:00] Q&A - Defining Human-centered AI: The speakers emphasise using design thinking and behavioural science to map real business workflows, prioritising the employee's experience over the raw technology. [30:23] Q&A - Addressing Environmental Impact: Adam explains that large language models (LLMs) are incredibly carbon-intensive; organisations should optimise cloud compute and only use heavy AI models when simpler solutions won't work. [34:30] Q&A - Shifting from Technical to Human Focus: Overcoming technical obsession requires reframing the focus onto commercial outcomes, accepting iterative failure, and deeply understanding the end user's psychological triggers before writing code. [45:30] Wrap-up: Adam and Wanda conclude the session. About QuantSpark: QuantSpark builds AI-powered solutions that make your organisation smarter. We combine strategic consulting with hands-on engineering and adoption expertise. Studying how decisions get made, how data flows, and where value gets lost. Then one team – strategists, data scientists, and engineers – designs and deploys the what your teams actually use. Unlike traditional consultancies that only advise or dev shops that only build, we do both, ensuring you get the right solution, built the right way.