From pilots to enterprise-wide transformation, discover how AI strategy consulting helps organisations scale innovation, achieve measurable business results, and build a sustainable competitive edge. Backed by data from ResearchGate, IDC, and McKinsey.
Struggling with messy spreadsheets? Discover 7 signs your business needs data automation and practical steps to move beyond Excel Hell.
Executive boards must make informed technology investment decisions, especially regarding AI. In this article, Jennifer Stirrup discusses emerging best practices based on industry research. Essential inquiries include strategic alignment, data quality, risk assessment, ethical considerations, long-term impacts, and governance structure. Proactive oversight ensures competitive advantage and stakeholder trust.
Organizations that prioritize data fluency, beyond basic data literacy, significantly enhance their outcomes in analytics and AI adoption. Data fluency fosters intuitive thinking, collaboration, and strategic innovation, enabling companies to leverage data effectively. A commitment to integrating data into everyday practices is crucial for maximizing digital transformation and realizing AI’s full potential.
For over 15 years, Jennifer Stirrup has been sharing insights and practical advice on Business Intelligence, AI Leadership, Data Strategy and Data Platform expertise. We are collating videos that Jennifer has done herself, or has collaborated with other thought leaders. You can check out the Video page here.
Security needs to be a first-class citizen in every AI project. This means integrating security into every phase of the AI development lifecycle rather than relying on post-deployment fixes. It cites statistics indicating significant financial losses from AI security incidents and highlights real-world cases illustrating the risks of neglecting lifecycle security, urging organizations to adopt proactive, secure-by-design principles for responsible AI deployment.
A 158-year-old UK transport company, Knights of Old, collapsed due to a cyberattack resulting from a single compromised password, leading to 700 job losses. This incident highlights critical cybersecurity failures and emphasizes that all businesses, not just large ones, must prioritize data protection to avoid devastation from similar risks.
A UK government data breach exposed sensitive details of 19,000 Afghan nationals due to human error in spreadsheet management. The leak, caused by a hidden tab in an email attachment, jeopardized lives and cost millions. It emphasizes the need for robust data governance and secure systems to protect data as well as humans from making mistakes.
Comet, Perplexity AI’s innovative Chrome competitor, enhances web searching by integrating AI assistants for tasks like reserving restaurants. As enterprises evolve, they are transitioning from using isolated AI models to orchestrating specialized agents, which improves efficiency across functions. This shift aims for optimal value from AI investments, resulting in better decision-making and customer experiences.
In today’s data-driven business world, organizations often struggle to derive meaningful insights from their metrics, making data storytelling essential. This approach combines data, visualization, and narrative to bridge the gap between numbers and decision-making, enabling clearer communication and inspiring action, ultimately enhancing business outcomes and ROI from analytics investments.
Successful organizations in the AI landscape achieve a competitive edge by harmonizing technological advancements with human judgment. This synergy enhances customer satisfaction and innovation. While AI excels at automation, human empathy remains vital for meaningful connections. A balanced approach fosters improved outcomes, as seen in companies like Starbucks and major retailers.
Did you know that 60% of AI projects are projected to fail by 2026. Will your organisation host one of these projects? Read more to learn how to make your project one of the 40% that succeed.