
Gartner: Why generative AI projects fail and how to turn the tide
GenAI projects often fail due to poor data, unclear value, or unrealistic expectations. Success demands strategic alignment, robust data readiness, and cross-functional collaboration.

GenAI projects often fail due to poor data, unclear value, or unrealistic expectations. Success demands strategic alignment, robust data readiness, and cross-functional collaboration.

AI is revolutionising supply chains by enhancing efficiency, resilience, and collaboration—empowering humans to focus on strategy while machines handle complexity, risk, and repetitive tasks.

Jesús Barrasa of Neo4j explains how Agentic AI, powered by connected data and graph technology, enables smarter, autonomous decisions with greater trust, accuracy, and insight.

Global AI innovation is outpacing regulation, exposing critical risks like data poisoning and supply chain vulnerabilities. Businesses must act now to secure their AI ecosystems.

To maximise AI project success, define clear goals, secure data access, embrace iterative learning, and don’t fear pausing or pivoting when needed—progress comes from persistence.

AI-driven multi-cloud strategies are vital for modern businesses. They enhance agility, optimise costs, bolster security, and maximise AI workload efficiency, ensuring long-term competitiveness.

DeepSeek’s open-source AI disrupts Silicon Valley’s dominance, promising efficiency but raising data privacy concerns. Explore its impact on AI democratisation, security risks, and ethical considerations.

AI in creative production is reshaping brand engagement. By blending AI efficiency with traditional creativity, brands can enhance authenticity, trust, and deliver personalised, impactful experiences.

Courtney Bennett, Director at Databricks, explores how AI agent systems are transforming UK enterprise AI, offering precision, trust, and tailored solutions for businesses’ unique challenges.

Dr. Ben Goertzel examines the strengths and limitations of LLMs in software development, discussing their role in creative coding and AGI research.

Evan Kaplan, CEO of InfluxData, explores how real-time, high-resolution time series data fuels AI-driven autonomy, enabling industries to optimise operations, predict outcomes, and automate decisions.

John Sullivan, VP at IBM Global Business Services UKI, discusses how businesses can move beyond GenAI proof of concepts, overcoming challenges like data quality, operating models, and reuse to scale enterprise-wide adoption.

The DeepSeek R1 model’s launch disrupted the AI industry, showcasing China’s unexpected innovation in AI despite US export restrictions, causing a $1 trillion market loss

What are the forces shaping software and data-driven industries in 2025? Hint: It’s AI, says our panel of experts.

Developers are no longer just builders – they’re the driving force behind GenAI’s evolution. Their creativity and expertise will shape the next generation of AI-driven innovation.

A panel of industry experts explores how AI, omnichannel strategies, and data-driven insights will shape retail and financial services in 2025, enhancing efficiency, security, and customer experience.

What technology investments will keep construction and manufacturing leaders occupied in 2025? Our panel opines.

In 2025, CIOs must drive AI adoption and deliver ROI. Julian Mulhare, Managing Director EMEA at Searce, discusses the factors that matter.

Lynne Bailey, Lead Data Strategist at Databricks explores how controlled AI experimentation helps balance the C-suite’s urgency with technical teams’ need for careful, high-quality AI deployment.

Geoff Barlow, Product and Strategy Director at Node4 explores AI’s impact on jobs and cybersecurity, addressing concerns while highlighting the potential for new opportunities and the need for proactive planning and training.

As AI systems become more autonomous, organisations must build teams skilled in AI safety and alignment. The future of AI depends on expertise in scaffolding, ethics, and oversight.

John Kelleher, Vice President at UiPath, emphasises the critical need for businesses to quickly adopt AI and automation to boost efficiency, productivity, and profitability.

Karel Callens, CEO of Luzmo, discusses how the Flex SDK bridges the gap between low-code simplicity and developer flexibility, shaping the future of app development.

Alessandro Galimberti, Senior Director Analyst at Gartner, explores how generative AI is transforming Infrastructure and Operations, driving efficiency, agility, and competitive advantage for forward-thinking organisations.

How Centrica has replatformed its British Gas business to transform its service to customers.

IAG Loyalty discusses its multi-year digital transformation and the future of product and customer-centric loyalty.

We speak to Nokia’s Jane Rygaard about the company’s 5G cloud RAN project

The EU AI Act enforces transparency, risk mitigation, and ethical AI use from 2025—prompting companies to rethink deployment, security, and long-term compliance strategies.

The Open Group’s Dr. Michelle Supper says technology will be critical for cities to function in the future

Couchbase’s Huw Owen considers how organisations can successfully transform their digital capabilities

This month, Ben and Rom are joined by Beatriz Valero to discuss Bitcoin’s recent surge in value and what it might mean for the financial services sector. The panel also looks back on our Schneider Electric case study, while Ben interviews Avanade’s Richard Gregory on the rise of the digital workplace.

In this episode, Blue Prism’s Martin Stevenson gives his honest verdict on ‘the future of work’, ‘robotics’, ‘digital disruption’ and more

GenAI projects often fail due to poor data, unclear value, or unrealistic expectations. Success demands strategic alignment, robust data readiness, and cross-functional collaboration.

AI is revolutionising supply chains by enhancing efficiency, resilience, and collaboration—empowering humans to focus on strategy while machines handle complexity, risk, and repetitive tasks.

Jesús Barrasa of Neo4j explains how Agentic AI, powered by connected data and graph technology, enables smarter, autonomous decisions with greater trust, accuracy, and insight.

Global AI innovation is outpacing regulation, exposing critical risks like data poisoning and supply chain vulnerabilities. Businesses must act now to secure their AI ecosystems.

To maximise AI project success, define clear goals, secure data access, embrace iterative learning, and don’t fear pausing or pivoting when needed—progress comes from persistence.

AI-driven multi-cloud strategies are vital for modern businesses. They enhance agility, optimise costs, bolster security, and maximise AI workload efficiency, ensuring long-term competitiveness.

DeepSeek’s open-source AI disrupts Silicon Valley’s dominance, promising efficiency but raising data privacy concerns. Explore its impact on AI democratisation, security risks, and ethical considerations.

AI in creative production is reshaping brand engagement. By blending AI efficiency with traditional creativity, brands can enhance authenticity, trust, and deliver personalised, impactful experiences.

Courtney Bennett, Director at Databricks, explores how AI agent systems are transforming UK enterprise AI, offering precision, trust, and tailored solutions for businesses’ unique challenges.

Dr. Ben Goertzel examines the strengths and limitations of LLMs in software development, discussing their role in creative coding and AGI research.

Evan Kaplan, CEO of InfluxData, explores how real-time, high-resolution time series data fuels AI-driven autonomy, enabling industries to optimise operations, predict outcomes, and automate decisions.

John Sullivan, VP at IBM Global Business Services UKI, discusses how businesses can move beyond GenAI proof of concepts, overcoming challenges like data quality, operating models, and reuse to scale enterprise-wide adoption.

The DeepSeek R1 model’s launch disrupted the AI industry, showcasing China’s unexpected innovation in AI despite US export restrictions, causing a $1 trillion market loss

What are the forces shaping software and data-driven industries in 2025? Hint: It’s AI, says our panel of experts.

Developers are no longer just builders – they’re the driving force behind GenAI’s evolution. Their creativity and expertise will shape the next generation of AI-driven innovation.

A panel of industry experts explores how AI, omnichannel strategies, and data-driven insights will shape retail and financial services in 2025, enhancing efficiency, security, and customer experience.

What technology investments will keep construction and manufacturing leaders occupied in 2025? Our panel opines.

In 2025, CIOs must drive AI adoption and deliver ROI. Julian Mulhare, Managing Director EMEA at Searce, discusses the factors that matter.

Lynne Bailey, Lead Data Strategist at Databricks explores how controlled AI experimentation helps balance the C-suite’s urgency with technical teams’ need for careful, high-quality AI deployment.

Geoff Barlow, Product and Strategy Director at Node4 explores AI’s impact on jobs and cybersecurity, addressing concerns while highlighting the potential for new opportunities and the need for proactive planning and training.

As AI systems become more autonomous, organisations must build teams skilled in AI safety and alignment. The future of AI depends on expertise in scaffolding, ethics, and oversight.

John Kelleher, Vice President at UiPath, emphasises the critical need for businesses to quickly adopt AI and automation to boost efficiency, productivity, and profitability.

Karel Callens, CEO of Luzmo, discusses how the Flex SDK bridges the gap between low-code simplicity and developer flexibility, shaping the future of app development.

Alessandro Galimberti, Senior Director Analyst at Gartner, explores how generative AI is transforming Infrastructure and Operations, driving efficiency, agility, and competitive advantage for forward-thinking organisations.