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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In this Advisor, I provide an update on the various types of IT solutions that are currently available for monitoring and enforcing social distancing practices in the workplace, and for helping companies conduct automated contact tracing of employees. These tools provide social distancing and contact tracing for companies seeking to reopen for business post quarantine for COVID-19.
There are two data challenges during the COVID-19 pandemic: (1) collecting the data and (2) building models using the data. In this Executive Update, we discuss the existing approaches and techniques employed to address these challenges.
Business architecture is a critical — and typically missing — bridge between strategy and execution. Organizations should leverage it to translate strategies and other business direction and collectively architect, prioritize, and plan actions to be taken from a business-driven, enterprise-wide perspective. Indeed, business architecture and business architects contribute unique value across the strategy execution lifecycle, as well as connect other teams and help them be more effective.
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 triad of people, process, and systems (technology) transforming cohesively are the ingredients for the secret sauce that can provide a practical way of managing the enterprise data architecture. In this Advisor, we examine these influences on data architecture.
In this Advisor, Adrian Jones stresses the importance of context-setting information by pointing out the increased vulnerability to which we are exposing ourselves. We produce and use more and more data. In the backs of our minds, we know that data governance is of growing importance, but we don’t act in the right way on this knowledge.
The most critical element of a digital shift is the identification of a clear need or opportunity that digital technology can address. Successful enterprises continually examine their marketplaces along with how those marketplaces are changing. They also look at both their processes — and how to carry them out better, faster, and cheaper — and new technologies that could open up hitherto infeasible opportunities.
The time-honored approach to quantifying markets is to work outward from a specific technology or tool to a targeted customer who will potentially use the technology in myriad ways. These potential markets with applicable benefit from the technology are then tabulated into initial total addressable markets (TAMs). In turn, the TAMs help justify strategic investment in an organization or the investment round in a startup.
This edition of The Cutter Edge highlights a long-overdue infrastructure issue brought to light by COVID-19, the missteps taken with DevSecOps efforts, tips for the automotive industry, and more.