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 her on-demand webinar, “Innovation Models Across Industries: A Linear or Complex Path?” Cutter Consortium Senior Consultant Katia Passerini considers innovation across many of the key sectors that are being — or will be — disrupted by technology. In this Advisor, we share some of the questions addressed in the Q&A portion of the webinar.
To effectively manage this “digital shift,” enterprises must not only consider how business processes need to evolve, but also how the people within the enterprise can become its advocates. More so even than technology, it is the human factor that ultimately determines the success or failure of such a project. This issue of Cutter Business Technology Journal (CBTJ) examines the challenges that arise, along with the opportunities presented by the digital shift from a variety of viewpoints, with a particular focus on the human factor.
Data architects need to strike the right balance between addressing data stakeholder pain points and gathering information to build and enhance the data architecture.
The use of machine learning, predictive analytics, natural language processing, smartbots, and other artificial intelligence technologies to automate complex business processes is not new. What is new is the integration of such technologies so that they execute within the workflows of robotic process automation (RPA) platforms to support intelligent process automation.
This issue of The Cutter Edge explores three specific business architecture scenarios that will lead to increased relevance and leadership, why the validity of agile practices are being questioned, and more!
As we explore the idea of “making a digital shift,” we must focus primarily on the front end of the process: the hard thinking required at the C-level. We also need to tackle the reasons it must be at that level. Next, it’s important to examine the ways to keep up the momentum and stay on track in managerial, not technical, terms.
With the onset of a myriad of new technologies, such as 5G, network functional virtualization (NFV), and the Internet of Things (IoT), executives are increasingly realizing that transformation of their technology organizations is imminent. As we explore in this Advisor, the CTO office — the center of technology transformation — needs to rethink its strategic roadmap and operating model.
Athula Ginige and Marie D. Fernando look at the idea of value creation in the digital shift era. In particular, their interest lies in how current Web- and mobile-based applications support what they term the “social computing” model, a new computing paradigm that stands apart from preceding computing paradigms. Their article presents a model for human needs fulfillment, which helps organizations map out their digital value-creation process and reveals the underlying information flow pattern required to secure trust.