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.

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This month’s CBTJ addresses the following question: what can companies do to increase employee engagement in order to increase customer satisfaction and, ultimately, business results?
Instead of moving from technology to key customers with an abstracted total addressable market (TAM), we must instead quantify artificial intelligence (AI) and machine learning (ML) benefits where they specifically fit within business strategies across segment industries. By using axiomatic impacts, the fuzziness of how to incorporate AI, ML, and big data into an industry can be used as a check on traditional investment assumptions.
In light of the current, unprecedented global crisis, it’s crucial now more than ever to reevaluate your risk management process and ensure you are well prepared for what may lie ahead. Today’s executives must adapt their leadership and face the current crisis head-on with a proactive approach to risk management.

Hospitals, government agencies, and other organizations are struggling with process management and information processing issues that have been compounded by the novel coronavirus pandemic. They are turning to RPA and AI-based solutions — including smartbots and intelligent virtual assistants — to attempt to mitigate such concerns. From a market perspective, industry providers are moving rapidly to meet their needs, including offering solutions that hospitals and other organizations responding to the contagion can license for free. This Advisor explores some of the trends we are seeing to address these concerns.

COVID-19 is spreading at fast speed, and time is of the essence to share, coordinate, and take actions to mitigate pandemic propagation. Current centralized database solutions solve part of the problem, but require an overarching and time-consuming coordination between multiple government and health authorities, including the entire chain of decision makers to collect test data, analyze/diagnostic, register, monitor, and enforce regulations and policies to isolate and monitor COVID-19 cases. Blockchain DLT technology solves the coordination challenges of broken healthcare centralized data lake silos, creating an open, trusted, immutable, and decentralized data architecture framework to speed up a multi-party, end-to-end COVID-19 data-sharing coordination process, while preserving patients’ data privacy.

This Executive Update series examines the extent that organizations are using or planning to use CX practices and technologies, the status of implementing CX management, the establishment of dedicated enterprise CX groups, and the reason such groups oversee CX initiatives. Here in Part IX, we examine findings pertaining to several enterprise CX adoption trends.

COVID-19 has already had a massive impact on all our lives and is on track to continue doing so for some time. In this situation, technology is playing an increasing role in moving life and business forward. This will all have long-term, and potentially positive, impacts on society and how we run our lives.

A project can reconfigure the arrangement of distributed resources, human or otherwise, at any point in the lifecycle of the project, especially with the help of enterprise architecture (EA) to substantially rethink project technology and even organizational approaches. Projects can and should reinvent themselves.