
How to maximise AI project success
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.
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.
As generative AI and LLMs have increasingly become a staple in how teams work, the demand for skills to effectively leverage these technologies has surged
AI, ML, and generative technologies are transforming supply chains by enhancing efficiency, reducing costs, and enabling autonomous decision-making for logistics companies.
AI has the potential to revolutionise cybersecurity for Critical National Infrastructure (CNI), enabling smarter threat detection, operational resilience, and faster incident response in an evolving threat landscape.
AI-powered cyberattacks are growing more sophisticated, but organisations can fight back using AI-driven zero trust security, minimising vulnerabilities and preventing lateral movement within systems.
IAG Loyalty discusses its multi-year digital transformation and the future of product and customer-centric loyalty.
Innovation Group’s move to become a digital-first business.
IDC’s Dan Vesset explains why companies must ensure that their data pipelines are leak-free
Informatica is helping enterprises bring its information together and derive insights using AI and automation
European firms’ AI plans are at risk due to data infrastructure blind spots, with many prioritising recovery from cyberattacks over effective prevention and mitigation strategies.
AT&T’s Mike Klepper analyses how the security landscape will evolve as disruptive technologies emerge
HARTMANN GROUP has been at the forefront of healthcare innovation for nearly 200 years. Today, technology transformation and new digital business models are enabling it to “go further for health”. Digital Bulletin met with CIO Sinanudin Omerhodzic and his team to find out more
Green Flag’s Managing Director Dean Keeling, along with Chief Technology Officer Shakeel Butt and Chief Product Manager Jeremy Bristow, tell us how the roadside recovery provider is transforming into an “agile fintech” and why it is laser-focused on data and talent
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.
As generative AI and LLMs have increasingly become a staple in how teams work, the demand for skills to effectively leverage these technologies has surged
AI, ML, and generative technologies are transforming supply chains by enhancing efficiency, reducing costs, and enabling autonomous decision-making for logistics companies.
AI has the potential to revolutionise cybersecurity for Critical National Infrastructure (CNI), enabling smarter threat detection, operational resilience, and faster incident response in an evolving threat landscape.
AI-powered cyberattacks are growing more sophisticated, but organisations can fight back using AI-driven zero trust security, minimising vulnerabilities and preventing lateral movement within systems.