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.

Subscribe to the Technology Advisor

Recently Published

In this Advisor, we identify a number of important trends involving the application of artificial intelligence (AI), big data analysis, collaboration, mobile, and other technologies in insurtech.
In the shift toward data-driven healthcare, focusing only on new technologies is not sufficient. Indeed, how data is gathered and how stakeholders’ interests are managed can enable or hinder the transformation. This Advisor explores eight drivers of data-driven healthcare.
As we explore in this Advisor, machine vision systems employing machine learning and other artificial intelligence techniques are now bringing major benefits to automakers, dealers, and repair shops in the form of camera-based automated vehicle inspection systems.
This Advisor looks at the key roles that AI can play in cybersecurity operations: behavioral analytics, threat intelligence, ransomware attack detection, smart identity governance, strengthening security of cloud applications, online fraud detection, defending against deepfakes, and risk assessment.
Cigdem Z. Gurgur describes how a blockchain-based Internet of Things (IoT) can push market systems toward sustainability. Blockchain offers new opportunities relevant to systems design. It connects stakeholders with multiple sources of verified information, generates a richer informational landscape for executing business processes, and enables secure transactions between untrusted actors. Trusted networks can reduce transaction costs, simplify processes, and reduce resource intensity compared to traditional transaction technologies. Gurgur explores the conditions needed to facilitate blockchain deployment in the next generation of supply chains, specifically through IoT technologies that have attractive applications for creating, monitoring, and enforcing sustainability standards.
Rohit Nishant and Thompson S.H. Teo discuss how to limit the negative impacts of artificial intelligence (AI) adoption by using concepts from both regenerative and doughnut economics. These two approaches seek to reconstruct economic systems so they operate within the sustainable operating limits of natural systems. Pointing out that AI adoption threatens to exceed sustainable boundaries by increasing aggregate demand for energy and new materials, Nishant and Teo put forth a 3Rs framework with which AI adopters can keep the impacts of AI within sustainable boundaries.
This issue explores how to make needed changes happen by examining three systems change topics. First, how can we use the linkages between environmental and economic systems to change market structure and, consequently, how actors compete? Second, how do we redefine waste to alter how market actors impact the natural environment through producing and disposing of materials? Third, what system changes can we accomplish through innovation or by using technologies like IT, artificial intelligence (AI), and blockchain to address unsustainable practices?
Northwestern Medicine has developed a very innovative NLP application — integrated within the hospital EHR system — designed to solve a practical and pressing healthcare problem: missed follow-ups associated with incidental findings from diagnostic imaging. This Advisor explores the significance of this innovative artificial intelligence application.