Business and Tech
MARCH 21, 2023
The contents are updated and there are the beginnings of subjects like ethics and software development life cycle, but the bulk is still algorithms, coding, and platforms. Although there are exciting developments in machine learning, the broad topic of artificial intelligence dates back to the 1950s.
Planview
OCTOBER 19, 2023
In the pursuit of successful digital transformation, many businesses have faced challenges stemming from fragmented data repositories and the implementation of multiple systems of record to accommodate evolving business demands. Many systems are employed for software development, deployment, and operational needs.
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Planview
MARCH 15, 2024
With the ability to analyze and interpret complex data, genAI has enabled both greater widespread VSM adoption and overall productivity and efficiency in the workplace. With all the open-source code and available context across the internet, AI models can generate software code and help software developers debug their work.
IdeaScale
JANUARY 8, 2020
Using developer tools will streamline and speed the design, build, testing, and release process. #2 2 The Expense of Acquisition and Training. 4 Data Integrity, Storge, and Security. Data integrity is becoming a major issue as we transition further into the digital age. 3 Reimagining Corporate Culture.
Tullio Siragusa
DECEMBER 19, 2022
With the increasing use of AI and machine learning, software engineers are needed to develop and maintain software systems that can process and analyze large amounts of data, as well as create intelligent systems that can make decisions and perform tasks without human intervention.
The BMI Lab Blog
NOVEMBER 23, 2022
The experience of recent years shows that companies often overestimate the value of their own data and their own ability to generate revenue from it. In practice, very few companies can establish a sustainable business model based on data. To start, we need to detail what a data-driven business model actually is.
Planview
NOVEMBER 1, 2023
In today’s fast-paced software development landscape, the race to streamline workflows, reduce waste, optimize processes, and boost collaboration is more urgent than ever. Value stream integration involves the seamless flow of information and work across the entire software development lifecycle.
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