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
In this Advisor, we identify the reasons, motivations, and requirements of an organization aiming to achieve sustainability and how that would be facilitated via an architectural approach.
This collection of articles written by Cutter Senior Consultant Barry O'Reilly follows his journey as he strives to redefine the practice of software architecture as the bridge between complexity science and systems engineering, and reframe the decision-making role of the architect as the careful navigation of uncertainty.
Various AI technologies, including ML, predictive analytics, NLP, and image recognition, are helping to reshape procurement operations. These developments are most apparent in the emergence of AI-powered cloud procurement platforms. This Advisor provides some example use cases of how AI is now utilized to automate and optimize procurement activities.
This edition of The Cutter Edge discusses how Agile Lineout can improve predictability, quality, and delivery; how LC/NC tools create solutions to everyday challenges and drives innovation, and more!
In recent years, researchers have turned to radically different computing paradigms, such as quantum computing, molecular computing, and nature-inspired computing. Of these, the most promising and advanced is quantum computing, based on the principles of quantum mechanics. This issue of Cutter Business Technology Journal (CBTJ) includes five articles that, together, provide an overview of quantum computing essentials.
Programmers routinely test their work as they write code, running programs to ensure they’re behaving as expected. But software today is significantly more complex than ever before. In this Executive Update we consider two questions about testing: (1) how do we know how best to perform that testing, and (2) how much testing is enough?
Muhammad Usman examines ongoing developments in quantum computing: hardware, simulations and error correction, algorithms and applications, and post-quantum secure communication. He also outlines anticipated progress in the quantum computing landscape and looks at the notion of quantum supremacy.
Mario Piattini outlines various quantum computing programming languages and the requirements of quantum software development environments. He also introduces quantum software engineering, identifies two of its key challenges, and discusses how they can be addressed. Piattini emphasizes the need for an integrated approach to quantum hardware and software R&D, quantum software education and training, and collaboration between industry and academia. As an example of such a collaboration, he describes an initiative called "aQuantum."