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.
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.
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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
Depending on how widely your team is scattered, you may be learning to overcome time and language barriers, coping with data accessibility issues, and expending energy bemoaning lack of team unity. 4 Data Integrity, Storge, and Security. Data integrity is becoming a major issue as we transition further into the digital age.
Idea to Value
AUGUST 10, 2021
Goodhart’s Law: Enterprising Indians began to breed and farm snakes to kill and get their reward, which was much easier than killing wild snakes, actually increasing the total snake population. It was poor data and oversight by the people developing, testing and implementing the system that was at fault.
Tullio Siragusa
DECEMBER 19, 2022
Exploring High-Growth Opportunities in Software Engineering The software industry is a mature and vast market with a high demand for software engineers. Let’s explore high-growth opportunities in software engineering, from AI, Cloud Computing to Internet of Things (IoT), and Cybersecurity.
Acuvate
APRIL 20, 2023
Recent advancements in Generative AI and machine learning (ML) have enthralled enterprises and consumers alike, as we recently saw with the launch of GPT-4. Its primary purpose is to help users with diverse technical backgrounds and skills create their own applications, automate workflows, and analyze data with ease.
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