Strategic advice to leverage new technologies
Technology is at the heart of nearly every enterprise, enabling new business models and strategies, and serving as the catalyst to industry convergence. Leveraging the right technology can improve business outcomes, providing intelligence and insights that help you make more informed and accurate decisions. From finding patterns in data through data science, to curating relevant insights with data analytics, to the predictive abilities and innumerable applications of AI, to solving challenging business problems with ML, NLP, and knowledge graphs, technology has brought decision-making to a more intelligent level. Keep pace with the technology trends, opportunities, applications, and real-world use cases that will move your organization closer to its transformation and business goals.
Recently Published
Daniel Flatt contends that an evaluation framework that promotes accuracy and objectivity is a commercial necessity. He points to B2B publishing as a sector of particular note: an industry built on credibility and accountability that AI could undermine, even as it offers opportunities to accelerate time to output. In response, new tools for detecting inaccuracy and bias in AI-generated copy are emerging, alongside collaborations across the publishing workflow and the wider industry.
This Advisor series explores the emergence of on-orbit data centers — space-based platforms that enable real-time, AI-powered data processing and analysis directly in orbit. Here in Part I, we examine the enabling technologies, key benefits, and transformative potential of these systems for autonomous space operations, Earth observation, defense, manufacturing, and beyond.
This Advisor explores the accelerating convergence of academic research and industry investment in quantum algorithms, marking a shift from theoretical promise to practical application. From simulating molecules in drug discovery to optimizing logistics and advancing financial modeling, quantum algorithms are beginning to deliver domain-specific value. As industries invest in identifying where quantum advantage matters most, the focus is turning to integrating these tools into real-world workflows and architectures.
This Advisor explores how cybersecurity vendors are harnessing AI to detect and counter increasingly sophisticated deepfakes. It examines emerging capabilities such as multimodal detection engines, real-time threat mitigation, forensic analysis, and behavioral biometrics — technologies designed to safeguard organizations against fraud, impersonation, and synthetic media manipulation.
David F. Larcker, Amit Seru, Brian Tayan, and Laurie Yoler explore how AI could reshape boardrooms by enhancing the volume, quality, and timeliness of information available to directors. AI can reduce information asymmetry, support predictive analysis, and enable real-time scenario planning. These tools help boards become more proactive and better prepared for meetings. However, the authors caution that greater access to information may blur the line between governance and operations, requiring executives to manage directors’ deeper involvement carefully.
Many organizations are stuck in pilot mode, using AI for incremental gains rather than transformative impact. This Advisor, based on ADL’s recent CEO Insights study, calls for a shift toward enterprise-wide adoption, strategic alignment, and long-term vision to fully capture AI’s disruptive potential and stay ahead of emerging competitors.
The convergence of quantum computing and AI marks a transformative leap for business, redefining how organizations process information, generate insights, and innovate. This fusion unlocks scalable efficiency, sustainable computing, and advanced analytics — enabling real-time decision-making, deeper customer understanding, and accelerated R&D. As these technologies mature, they promise to reshape business capabilities across industries.
This Advisor distills key lessons from the Syn.ikia project’s implementation of digital twins in Uden, the Netherlands—an EU-funded initiative focused on positive-energy districts. It explores how predictive digital twins, combining building simulations with AI-driven user behavior models, can optimize renewable energy use. It also emphasizes the importance of ethical data management, user empowerment through intuitive design, and value chain collaboration to ensure digital twins enhance sustainability without alienating end users.