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7 sins of software development

CIO Business Intelligence

Software development is a challenging discipline built on millions of parameters, variables, libraries, and more that all must be exactly right. Still, it’s impossible to list the endless innovations that software alone has made possible. Over the years software teams have figured out a few rules for getting the job done.

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5 top business use cases for AI agents

CIO Business Intelligence

AI agents are powered by the same AI systems as chatbots, but can take independent action, collaborate to achieve bigger objectives, and take over entire business workflows. Copilot Studio allows enterprises to build autonomous agents, as well as other agents that connect CRM systems, HR systems, and other enterprise platforms to Copilot.

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CompTIA introduces foundational tech certification

Network World

The Tech+ certification covers basic concepts from security and software development as well as information on emerging technologies such as artificial intelligence, robotics, and quantum computing. Software development: Comprehend programming language categories, interpret logic, and understand the purpose of programming concepts.

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AI-native software engineering may be closer than developers think

CIO Business Intelligence

Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts.

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Building Evolvable Architectures

Speaker: Dr. Rebecca Parsons, CTO of ThoughtWorks

The software development ecosystem exists in a state of dynamic equilibrium, where any new tool, framework, or technique leads to disruption and the establishment of a new equilibrium. How to address technical debt and retrofit existing systems to support better evolution.

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Unlocking the potential of generative AI in the software development life cycle

CIO Business Intelligence

Generative AI is poised to redefine software creation and digital transformation. The traditional software development life cycle (SDLC) is fraught with challenges, particularly requirement gathering, contributing to 40-50% of project failures. advertising, marketing, or software development).

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What’s changing the rules of enterprise AI adoption for IT leaders

CIO Business Intelligence

This is good news and will drive innovation, particularly for enterprise software developers. Cheaper, better, faster The story of digital innovation over the last 50 years is one of more powerful systems and lower costs. The potential of AI to transform many business processes makes many off-the-shelf solutions irrelevant.