Dick Weisinger

Gartner’s recently released Top 10 Strategic Technology Trends for 2025 offers a compelling glimpse into the future of technology and its potential impact on businesses and society. The list, which includes agentic AI, AI governance platforms, disinformation security, postquantum cryptography, and ambient invisible intelligence, among others, reflects the rapidly evolving technological landscape and the challenges organizations face in adapting to these changes.

Businesses have always invested in technology to stay competitive, now more so than ever. However, a recent Gartner survey reveals a sobering reality: only 48% of digital initiatives are meeting or surpassing their business objectives. This statistic raises important questions about the definition of success, the challenges businesses face, and the lessons to be learned from these endeavors.

The rise of low-code platforms has sparked a heated debate in the tech world: Are these tools the future of software development, or just another passing trend? Proponents argue that low code empowers citizen developers and accelerates innovation, while skeptics warn of limitations and potential pitfalls.

Healthcare records have significantly transformed in recent years, transitioning from paper-based systems to electronic health records (EHRs). This shift promised improved efficiency, better patient care, and enhanced data management. But it’s becoming increasingly clear that another revolution may be necessary.

The limitations of lithium-ion batteries are becoming increasingly apparent. Enter sodium-ion batteries, a promising alternative that could revolutionize energy storage, particularly for residential solar systems and long-term grid storage applications.

Effective data management has become a critical factor in organizational success. Companies across industries are recognizing that proper handling of their data assets can lead to improved decision-making, enhanced operational efficiency, and a significant competitive advantage. As we delve into the best practices for data management, it’s clear that a holistic approach is necessary to tackle the challenges of our increasingly complex digital world.

In a landmark move for the aviation industry, the International Air Transport Association (IATA) has joined forces with leading aircraft manufacturers to establish a set of guiding principles for the management of Navigating the Skies of Data: New Guidelines for Aircraft Operational Data Management. This collaborative effort, involving industry giants like Airbus, Embraer, and Rolls-Royce, marks a significant step towards standardizing data practices in an increasingly digital aviation landscape.

In a surprising move, the Biden administration has taken a stance on software development practices, urging programmers to move away from languages like C and C++ in favor of memory-safe alternatives. This recommendation, coming from the White House Office of the National Cyber Director (ONCD), has sparked debate in the tech community and raised questions about the future of software development.

As organizations increasingly integrate artificial intelligence into their operations, many are discovering that traditional single-platform data management approaches may no longer suffice. The complexity and scale of data required for AI applications have led companies to explore federated data management strategies, which allow for more flexible and distributed data handling across multiple systems and locations.

Building Information Modeling (BIM) and Web3 technologies are poised to revolutionize the architecture, engineering, and construction (AEC) industry. A recent study published in Automation in Construction explores the potential synergies between these two domains, highlighting how their integration could transform project delivery and asset management.