Technogram

On this episode of Technogram by Redington, we explore why AI PCs are becoming the next major shift in personal and business computing. Calvin Tolo, Regional Country Manager at MSI, discusses how on-device AI is transforming productivity, creativity, gaming, and data privacy, while explaining why AI-ready devices are reshaping the way people work and create. He also shares why local accessibility, technical support, and customer education will be key to accelerating AI adoption across Africa.

Key Takeaways:

• AI PCs bring AI closer to the user, improving performance, protecting privacy, and enabling faster, more efficient workflows without relying entirely on the cloud.

• The next generation of creators, developers, and gamers needs more than powerful hardware — they need access to the right tools, support, and opportunities to compete globally.

• Successful AI adoption depends on more than technology. Local availability, trusted support, and customer education are essential to helping users realise the full value of AI PCs.

On the latest episode of Technogram by Redington, Shaahid Amod, Strategic Partner Manager, Africa Cluster at Trend AI, joins us live from GITEX Kenya to discuss the growing importance of AI governance, security, and responsible AI adoption across Africa. From data sovereignty and enterprise AI to governance frameworks and cybersecurity, this conversation explores how organizations can embrace AI without compromising trust.

Takeaways:

• AI adoption must go hand in hand with governance to protect sensitive data and reduce business risk.

• Organizations should define clear AI objectives before investing, ensuring technology delivers measurable business value.

• Successful AI transformation is ultimately about empowering people—with security, training, and responsible innovation at the core.

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.

On this episode of Technogram by Redington, we explore how AI is moving from experimentation to execution. Chris Aguilar, Practice Lead at NTT DATA, shares how enterprises are using AI agents to solve real business challenges, streamline complex workflows, and accelerate decision-making. From reducing banking credit assessments from weeks to minutes to building AI-ready workforces, he explains why successful AI adoption is driven by business outcomes—not technology alone. Key Takeaways:

• AI creates the greatest value by eliminating operational friction, accelerating decision-making, and allowing people to focus on higher-value work.

• The most effective AI deployments keep humans in the loop, combining AI speed with human judgement to improve accuracy, trust, and continuous learning.

• AI literacy is becoming a core business skill. Organizations that invest in people alongside technology will be best positioned to realize its full value.

On this episode of Technogram by Redington, we explore the truth about AI – what it takes to move beyond the hype and deliver meaningful outcomes. Nadeem Noordin, IT Director at Copy Cat, reflects on the company's 40-year journey, shares lessons from a landmark AI-powered project in Kenya, and explains why the most successful AI initiatives are built on trusted partnerships, strong foundations, and a practical focus on solving real customer problems. Key Takeaways:

• Successful AI starts with strong foundations—quality data, reliable infrastructure, and clearly defined business objectives.

• The greatest value from AI comes when it solves real customer and societal challenges, making services more accessible, efficient, and inclusive.

• Successful AI adoption is built on realistic expectations, practical implementation, and trusted partnerships that guide customers through every stage of transformation.

On the latest episode of Technogram by Redington, Ashish Panjabi, Chief Operating Officer at Jacky’s Retail and Jacky’s Business Solutions, shares insights on the evolution of retail in the UAE, a 25-year partnership with Redington, and how Jacky’s has stayed competitive through decades of transformation. From the early days of multibrand retail and Gitex Shopper dominance to today’s omnichannel landscape, this conversation reflects on how the industry has matured—and what it takes to keep up. Takeaways:

• Long-term partnerships and the ability to adapt quickly to market shifts are key to surviving in highly competitive retail environments.
• Retail success isn’t just about growth—it’s about knowing when to pivot, focus, and even go against the trend.
• Technology like AI and data analytics only create value when used to truly understand customers and improve decision-making.

In this episode of Technogram by Redington, we feature Serkan Celik, Chief Executive Officer, Turkey, Africa, Egypt & CIS at Redington, as he shares insights on Africa’s fast-evolving technology landscape and the opportunities shaping the region. From the rise of AI and fintech innovation to the growing role of channel partners, Serkan discusses what businesses need to do to stay agile, embrace digital transformation, and build resilient ecosystems for the future. Key Takeaways: – Africa’s startup and fintech ecosystems are driving rapid innovation and digital adoption across industries. – Agility and adaptability are critical for navigating changing markets and emerging opportunities. – Channel partners must embrace AI, digitalization, and continuous learning to stay competitive and relevant.

On the latest episode of Technogram by Redington, Deepak Puligadda, Global Chief Technology Officer at Redington Limited, engages in a powerful yet candid conversation with Suresh V Shankar, Founder & CEO of Crayon Data — the company behind Tangram.ai and Maya.ai — on where AI is truly heading, and what it takes to move from experimentation to enterprise-scale impact.

Takeaways:

• 70% AI readiness may become the new competitive edge, separating organizations that are piloting from those that are scaling with intent and measurable outcomes.
• The mindset gap between AI natives and AI immigrants is widening, reshaping how enterprises approach adoption, governance, and innovation velocity.
• Agentic automation in regulated workflows, enterprise knowledge summarization, and digital workers are redefining value creation — with AI positioned to augment human intelligence, not replace it.