Is 2025 the year that the AI advances of recent years finally deliver significant results to corporate bottom lines worldwide? I believe the answer is yes. The technology has been ready for this shift for at least 18 months, but most users have yet to fully grasp the details needed to harness its full potential. […]
AI Data Retention Creates Environmental Stumbling Block
As artificial intelligence reshapes our world, an environmental crisis is building in its digital wake. Data center power demand is projected to surge 160% by 2030, potentially generating up to $149 billion in social costs, including resource depletion, environmental impact, and public health. While most of the conversations around this focus on the energy processing demands […]
Ask a Data Ethicist: How Can We Ethically Assess the Influence of AI Systems on Humans?
From entertainment to online shopping to chatbots, Al systems are exerting influence across many aspects of our lives. The impacts are widespread, shaping our belief systems, our voting decisions, and our well-being. Yet, not all influence is unethical, which leads to this question … How can we ethically assess the influence of AI systems on […]
Latest Trends in Machine Learning: Transforming Industries and Shaping the Future
Machine learning (ML), a subset of artificial intelligence (AI), has been at the forefront of technological advancement for the past few years. As its capabilities continue to grow, industries are increasingly adopting machine learning models to improve processes, enhance decision-making, and deliver more personalized customer experiences. From automation to ethical considerations, the field is seeing […]
Reinvigorating AI Data Security to Drive Success
AI’s transformative capabilities have spurred widespread adoption across sectors since ChatGPT’s groundbreaking debut in 2022. From using AI assistants to manage calendars to leveraging generative tools for content creation, technological integration has accelerated rapidly. However, this swift embrace of artificial intelligence has unveiled critical AI data security concerns. Researchers have revealed how large language models […]
Navigating the Path to ZeroOps: Overcoming Complexity and Legacy System Challenges
Forrester’s 2025 predictions anticipate that 75% of technology decision-makers will see their technical debt rise to a moderate or high level of severity by 2026 largely due to the rapid development of AI solutions, which are adding complexity to IT landscapes and legacy systems. As Forrester states, “to stem the tsunami of technical debt, tech leaders will […]
Unlocking the Full Potential of AI in 2025
The “training wheels” era of AI is officially over. Over the past three years, business leaders have developed and tested AI solutions, transforming AI into an integral part of the global economy’s daily operations. Business leaders, accordingly, are no longer asking how to use AI in their operations. Instead, they’re asking how to make the most of […]
The 2025 Data Center Blueprint: Reducing Energy Consumption Through Virtual Twins
In 2024, we saw a significant surge in data center demand fueled by the rapid growth of AI technology, which is projected to increase 160% by 2030. This unprecedented growth introduced a defining challenge of the AI era: how to balance the environmental impact of data centers with the urgent need to scale infrastructure to support AI advancements. […]
Three Ways Causal AI Can Drive Your Business in 2025
Emerging AI technologies such as causal AI, which Gartner defines as “a solution that identifies and utilizes cause-and-effect relationships to go beyond correlation-based predictive models and toward AI systems that can prescribe actions more effectively and act more autonomously,” are set to revolutionize traditional approaches and will have a positive impact across the board this year. From helping […]
How Data Fabric and GenAI Will Enable Organizations to Seize the Day in 2025
Chief data officers (CDOs) are at the forefront of data modernization and AI adoption. In 2025, the leaders who successfully embrace innovative technologies, such as data fabric and generative AI (GenAI), will shape the future of their industries. By focusing on collaboration, governance, and scalability, data leaders can address evolving challenges and seize new opportunities. […]