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.
Insight
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.
A data integration strategy and information management within a sizeable organization can be incredibly difficult to define and even more difficult to implement. Organizations need a way to manage data while making the best use of available and appropriate technology platforms to process all of the different types of data within an organization.
The current trend indicates that most organizations tend to rely on (or are planning to rely on) in-house CX development, while just under 30% of organizations surveyed said that they were using or planning to use outside specialists to assist them with implementing their CX strategies and programs. I see this trend changing over the next 12-16 months, with the use of outside CX consultancies increasing in order to satisfy current and future demands for CX adoption.