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
Architecture stories are important to articulate so they gain visibility. For example, if you have a feature idea that you think a user would value, you might define a minimum viable product for it and whip up a quick/cheap prototype before making a final implementation decision. If the feedback isn’t positive, then you’d quickly pivot in another direction. The point is that I want the same level of thoughtful planning to occur for architecture as for features.
Is an Agile Firmware Approach Possible?
This Executive Update takes a closer look at being Agile when it comes to firmware. We begin with some tutorial information. Next, we discuss the firmware development process. Finally, we explore the issues typically encountered and identify ways some have taken to resolve them.
To meet increasingly elevated customer expectations, organizations are implementing detailed strategies for distributing and standardizing customer experience (CX) practices and technologies across their various lines of business. In this Advisor, we explore the five most significant challenges organizations face in implementing CX strategies and supporting technologies.
Thoughts on a Project-Volatility Metric, Part V: V6 and V7
Milestones are just an independent, simple, one-level hierarchy that stands side by side with our object list. That said, when milestone commitments (estimated end dates) change — or when teams deliver work ahead of, or lagging behind, the milestone estimated end date — these all become important changes and outcomes that we need to monitor. Monitoring these changes gives us insight into the nature of project scope changes and the interaction between our project management team and IT governance.
Today’s chief data officer not only needs to rethink the relationship between data producer and data consumer but must become intimately familiar with the new requirements for predictive modeling (to unravel scenarios and identify patterns), advanced query (to follow an idea into discovery), and data visualization (to understand interconnections) — the big three for data analytics.
As has been our tradition over the past few years, we have gathered a group of Cutter Consortium experts to weigh in on the strategies, technologies, and business models that will impact business transformation efforts in 2019. We hope the articles in this issue of Cutter Business Technology Journal help you prioritize your business technology objectives and chart your journey forward in today’s digitally competitive world.
With twice the product in half the time™ being a generic goal for industry, what exactly is going wrong in today’s industrial environment? What stops or delays improvements in product delivery, despite embracing practices from Lean and Six Sigma? Why does it take years to get a new product out of the manufacturing plant? This Advisor seeks to demystify one of the myths that surrounds Agile product development: the myth that one way to optimize people’s time is to have them work on large batches: design the whole product, build a full prototype, test a full prototype, and design manufacturing only when the prototype passes all tests. The thinking is that this will reduce task-switching, eliminate mistakes, and achieve the desired high utilization of people. By planning the work in phases, we believe we can prevent problems in the phases that follow.
Privacy Issues and AI Forecast
2019 is likely to shape up as a year in which the news is less about what technology can do for us than about what it can do to us.