Can Gen AI Live Up to Its Promise? How to Get Started
Maximizing ROI on Gen AI is an ongoing process. Success requires continuous monitoring, evaluation, and
Topic: Business Strategies
Explores the intersection among business intelligence, Big Data technologies, and real-time analytics.
Navigating AI Maturity: A Strategic Guide for IT Leaders
Navigating the four stages of AI maturity—Exploration, Experimentation, Innovation, and Realization—requires a strategic approach that encompasses …
How Mature Data Organizations Tackle the Data Quality Problem Differently
Mature organizations are aware of data quality issues and recognize the need to address them. They might take different approaches and use different tools, but …
The Pitfalls of Generative AI: How to Avoid Deepening Technical Debt
Addressing technical debt is not just a matter of reducing costs; it is about enhancing the overall effectiveness and resilience of an organization’s …
Data Scientist, ‘Sexiest Job of the 21st Century,’ Could Fall to AI
As AI continues to simplify and automate many of the foundational tasks within data science, the field may face a reckoning on what it truly means to be a data …
Quantum Leap: The Immediate Future of Quantum Technology and Its Potential to Reshape Our World
Quantum computing is an opportunity to redefine foundational sectors and address challenges that traditional computing cannot solve. By preparing now, …
Fixing the Lingering Manual Chores of Embedded Software Creation
Traditional techniques of deploying and managing technology do not work for today’s fast-paced business development and delivery
Navigating Smart Manufacturing in 2025: Key Challenges for the Auto Industry
A look at the top 2025 smart auto manufacturing issues related to automation, digital transformation, robotics, embedded AI, and more.
What Truly Intelligent Content Automation Needs to Look Like
Organizations need to start strategizing now on how to leverage next-generation intelligent content automation platforms. These platforms are emerging as the …
Enterprise AI Planning Faces Three Crucial Blind Spots
AI is the most compute, network, and data-intensive workload of our time, and to effectively deliver on its promise, solutions must be hybrid by design and …