On this episode of Technogram by Redington, we separate AI fact from fiction. Peter Lacey, Head of Commercial for the Middle East and Africa at Acer, explains why AI isn't a magic solution, where its limitations lie, and why businesses are shifting from AI hype to practical adoption. From AI-ready devices and edge computing to sustainability, governance, and the role of human judgement, he shares what organizations need to know before putting AI to work. Key Takeaways:

• AI predicts patterns — it doesn't think like humans. Its outputs can lack context, reflect bias, and should always be validated.
• The greatest value from AI comes from augmenting people, automating repetitive tasks while leaving creativity, judgement, and decision-making to humans.
• The future of AI is moving closer to the user. AI-ready devices, responsible governance, and sustainable computing will define the next phase of adoption.

On this episode of Technogram by Redington, Brendan Widlake, Regional Director & Country Manager for Africa at Veeam, explores why successful AI starts with trusted data. He discusses the Data and AI Trust Maturity Model – developed with McKinsey, Microsoft, and Splunk – and explains how organizations can assess the health of their data and infrastructure before scaling AI initiatives. Key Takeaways:

• AI is only as good as the data behind it. Without secure, trusted, and well-governed data, AI cannot deliver meaningful outcomes.

• Cyber resilience is no longer about preventing every attack—it's about being prepared to recover quickly when one happens.

• Cybersecurity is not a one-time investment. It requires continuous learning, adaptation, and resilience to stay ahead of evolving threats.

On the latest episode of Technogram by Redington, Adel Abdel Hamid, Regional Partner Solution Sales Manager – Africa at Microsoft, to discuss how Microsoft Copilot is transforming the way organizations work. From AI adoption and productivity gains to change management and measurable business outcomes, this conversation explores how enterprises can move beyond experimentation and unlock real value with AI. Key Takeaways:

• AI conversations have shifted from buying tools to delivering measurable business outcomes and ROI.

• Successful Copilot adoption requires strong leadership, structured change management, and organization-wide enablement.

• Microsoft Copilot empowers every business function by improving productivity, reducing repetitive tasks, and enabling smarter collaboration.