TEST

1. Cloud Migration Explained: Cloud migration involves moving data, applications, and workloads from on-premises data centres to cloud-based infrastructure or between different cloud environments.

2. Benefits of Cloud Migration: It provides scalability, cost-effectiveness, and enhanced security. Companies can choose between public, private, hybrid, or multi-cloud models based on their specific needs.

3. Successful Migration Strategy: A thorough strategy is essential for effective cloud migration, including planning, selecting the right provider, designing an architecture, executing the migration, and continuous optimisation and maintenance.

IBM: https://www.ibm.com/topics/cloud-migration

In 2025, cloud computing is no longer a luxury but a strategic imperative—fuelled by AI, multi-cloud agility, and a $591B market driving digital innovation.

What’s your organisation’s biggest cloud challenge in 2025—cost, complexity, or capability?

AI in cybersecurity isn’t about replacing your analysts — it’s about helping them work faster and smarter with the data you already have. Tools like Elastic’s AI-powered analytics let teams automate routine tasks, enrich investigations, and generate insights that are tailored to their unique environment.

The key to real value? Connecting your internal data so AI can act with true business context.

CIO.COM:
https://www.cio.com/article/3993412/ai-security-analytics-turning-your-data-into-defenses.html

Clement Maloney BBus MIT JD PhD(c) | Principal Consultant & CTO @123.EXPERT

Statistic: Over US$25 million was lost by a finance worker in a single deepfake scam — where fraudsters used AI to impersonate a company CFO during a video call.

Insight: AI isn’t just powering innovation — it’s arming both sides of the cybersecurity battle. While attackers exploit deepfakes, phishing automation, and data poisoning, many IT teams are still relying on outdated tools and incomplete defences.

This isn’t the time for passive defence. As Mary Shacklett notes, the future of cybersecurity requires IT to fight AI with AI — combining threat hunting, zero-trust policies, and real-time anomaly detection.

If your strategy hasn’t been updated for the AI age, you’re already behind.

INFORMATIONWEEK.COM:
https://www.informationweek.com/cyber-resilience/let-the-ai-security-war-games-begin

One success is that in manufacturing, AI-driven predictive maintenance can be straightforwardly measured through reduced breakdowns and lower defect rates.

A key challenge is quantifying the benefits of complex AI use cases—such as generative AI for employee training—where impact metrics are harder to define.

How does your organisation tackle the challenge of measuring AI’s true value?

TEST 2

TEST 3

In a fast-changing digital world, IT leaders must ensure strategic planning is agile, structured, and aligned with business goals. Yet, many organisations struggle to adapt to disruption.

Fact: Organisations with planning agility are 3.4x more likely to adjust at the speed of disruption. However, only 20% have the level of business engagement needed to be truly responsive.

Opinion: IT leaders must move beyond reactive decision-making and embrace a methodical approach to strategic planning. Short-term fixes and isolated initiatives won’t drive success—long-term business value and adaptability are key.
Continue reading “9 IT Steps to Successful Functional Strategic Planning”

Quantum computing is pushing the boundaries of what’s possible—not just in science and technology, but in understanding consciousness itself. Could the next big breakthrough be the intersection of quantum mechanics, AI, and human cognition?
Continue reading “Is Quantum Computing the Key to Unlocking Consciousness?”