Many mid-market organizations have realized that technology alone is no longer the differentiator—it’s how that technology is designed, governed, and embedded into everyday decision-making. Point solutions and short-term fixes often create more friction than value. Instead, sustainable growth depends on a strategic, unified approach that spans the entire infrastructure—bridging data, applications, security, and operations...

Effectively harnessing the power of data and AI goes beyond deploying new tools. Breaking down data silos is essential, as well as establishing strong data foundations and a culture that emphasizes clarity, governance, and human judgment over technology. Business Intelligence Competency Centers that have evolved into strategic hubs for data governance and AI capabilities can play a key role, especially as project management is transforming towards intelligent, AI-enhanced dec

As businesses can no longer afford the slow, siloed, and manual practices that once held their operations together, we break down the forces reshaping modern technology leadership from data warehouse automation to precision-built IT operations. It is also important to understand the dangers of silos, shadow AI, and ungoverned innovation and what measures can be done to stay ahead...

True digital transformation hinges on trustworthy data, empowered people, and responsible innovation. One such innovation is Themis which puts an emphasis on privacy, ownership, and compliance as the foundation for safe AI adoption, while data contracts help establish transparency in AI systems. Breaking down data silos is also important as it enables collaboration and faster, evidence-based decisions. Overall, success in technology transformation involves purpose, alignment,

AI success isn’t about algorithms—it’s about the data behind them. This month, we explore why strong data infrastructure and human support are critical, how most companies stall at the “integration plateau,” and why spreadsheets can no longer keep pace with modern analytics needs. We also dive into how AI and data fuel each other in next-gen architectures, and why reviewing AI data center policies is a must for security leaders. From smarter strategies to stronger safeguards,

From the precision of prescriptive analytics to the evolving capabilities of generative AI, organizations are racing to harness these advancements to create comprehensive data strategies. There are also tools such as customer data platforms that ensure valuable customer insights are unified and actionable. But it’s also important that the data strategy can be scaled effectively. And with the quantum future looming, leaders should be ready for the opportunities and challenges

From data interoperability and role-based masking in multi-cloud environments, to managing the complexity of AI systems and robust data governance powering self-service BI, organizations are reimagining how data is used at scale. We also highlight the transformative impact of real-time analytics in delivering immediate insights that fuel agility and competitive advantage.

We look deeper at the benefits of data in business innovation, as well as certain technologies such as data mesh for enterprise AI, continuous delivery for software and data deployments, and agentic AI in user interaction. We also explore one challenge facing businesses: the build-vs-buy tech debate in adopting technology...

Data isn't just changing how we work—it's redefining what's possible. Organizations that bridge the gap between information and insight are discovering opportunities hidden in plain sight. As analytics capabilities become more sophisticated and accessible, the real differentiator isn't who has the most data, but who asks the best questions of it. This shift is creating new possibilities across industries, from predictive customer experiences to supply chains that adapt in rea

There is always risk in adopting new technologies for the organization so it is crucial to minimize these risks by understanding the technologies to be deployed and that they are suited for the organization that will utilize them and, more importantly, practicing the right practices and fostering the proper mindset that will ensure the successful deployment of these new technologies...

Business operations continue to be transformed by new process improvements. Whether it’s Data Ops enhancing data analytics, data visualiza..

For data analytics to be effective in maximizing the value of your data, it is important to have the right analytics tools that can look...

Having good data should be every organization’s goal. And to achieve this, it is important to ensure data quality and security not only...

There is a greater need than ever for businesses today to improve their capabilities in tapping into emerging technologies. This is not...

We look at some of the different processes that involve data and the benefits they provide in making data useful and valuable to the...

As online risks remain rife and are evolving to alarming levels, it pays to know and adhere to the different security and governance...

This month, we shall have a look at some of the technological struggles that are facing today’s organizations. Balancing AI and people...

While it is a given that technology is beneficial to the business’ operational efficiency and growth, some businesses struggle to harness...

Modern day technological innovations benefit enterprises more than ever before, but implementing these technologies successfully still...

Given the importance of data for the organizations of today, it is critical for decision-makers and users to understand the key aspects...