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 Advisor explores how organizations can utilize digital twins to see their products in action, over time, when subjected to physical environments, as well as visualize exactly when and where maintenance is needed. This lets product developers close the loop on a product’s design simulations and helps engineers make more informed choices for future designs.
In this Advisor, the introduction to the Cutter Business Technology Journal issue addressing digital twins, you'll explore the benefits, opportunities, and challenges of this next phase of digital transformation.
This Advisor explores how to fine-tune the processes of strategic planning, initiative delivery, technology optimization, and portfolio management/budgeting process to achieve the right balance between up-front planning and agility.
This Advisor discusses how data doesn't really "go" bad, but the use to which it was put was dramatically changed and that new use drove the collection of even more categories and volumes of personal behavior data, without a comprehensive ethical review. In this series, we’ll point out what can go wrong with data — and what to do about it.
Cutter Consortium conducted a survey, along with a set of interviews of participants, from mid-2020 to early 2021 on how organizations are adopting, or planning to adopt, intelligent process automation (IPA). We also sought to identify important trends, issues, and other considerations organizations are encountering, or foresee encountering, in their efforts. Here in Part III of this Executive Update series, we examine findings pertaining to surveyed organizations’ plans for establishing budgets to support their IPA initiatives.
This Executive Update seeks to help IT better advocate for cloud. First, we offer a solution to cloud’s most significant financial risk. Next, we translate some IT concepts into their financial equivalents.
A recent leap forward in database and analytics technology includes streaming technologies like Apache’s Kafka, which can handle real time and can scale to handle big data movement at extremely low cost, and high-speed, in-memory analytics tools like SAP HANA, which makes mincemeat out of billion-row data sets. These and other new cloud-based approaches have changed the paradigm for 21st-century data analytics.
It's widely believed that creep — changes to requirements that supposedly have been settled — is due to unclear requirements. This Advisor looks at project creep differently, enabling us to see that most creep involves requirements that should and could have been identified but weren’t, and that this happens so often that it’s a certainty rather than a risk.