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Uname: Linux wputd 5.4.0-200-generic #220-Ubuntu SMP Fri Sep 27 13:19:16 UTC 2024 x86_64
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name	last edit	size	owner:downer	permission	options
..
Carp	2023-11-29 13:08:23	-	root:root	drwxr-xr-x
Exporter	2023-11-29 13:08:23	-	root:root	drwxr-xr-x
File	2023-11-29 13:08:23	-	root:root	drwxr-xr-x
Getopt	2023-11-29 13:08:23	-	root:root	drwxr-xr-x
Hash	2023-11-29 13:08:23	-	root:root	drwxr-xr-x
IO	2023-11-29 13:08:23	-	root:root	drwxr-xr-x
IPC	2023-11-29 13:08:23	-	root:root	drwxr-xr-x
List	2023-11-29 13:08:23	-	root:root	drwxr-xr-x
Scalar	2023-11-29 13:08:23	-	root:root	drwxr-xr-x
Text	2023-11-29 13:08:23	-	root:root	drwxr-xr-x
Tie	2023-11-29 13:08:23	-	root:root	drwxr-xr-x
auto	2020-03-07 04:15:57	-	root:root	drwxr-xr-x
unicore	2023-11-29 13:08:23	-	root:root	drwxr-xr-x
warnings	2023-11-29 13:08:23	-	root:root	drwxr-xr-x
AutoLoader.pm	2023-11-23 22:02:19	5.36 KB	root:root	-rw-r--r--
Carp.pm	2023-11-23 22:02:19	24.79 KB	root:root	-rw-r--r--
Config.pm	2023-11-23 22:02:19	3.2 KB	root:root	-rw-r--r--
Config_git.pl	2023-11-23 22:02:19	409 B	root:root	-rw-r--r--
Config_heavy.pl	2023-11-23 22:02:19	52.96 KB	root:root	-rw-r--r--
Cwd.pm	2023-11-23 22:02:19	17.24 KB	root:root	-rw-r--r--
DynaLoader.pm	2023-11-23 22:02:19	10.18 KB	root:root	-rw-r--r--
Errno.pm	2023-11-23 22:02:19	4.82 KB	root:root	-rw-r--r--
Exporter.pm	2023-11-23 22:02:19	2.31 KB	root:root	-rw-r--r--
Fcntl.pm	2023-11-23 22:02:19	2.11 KB	root:root	-rw-r--r--
FileHandle.pm	2023-11-23 22:02:19	2.06 KB	root:root	-rw-r--r--
IO.pm	2023-11-23 22:02:19	469 B	root:root	-rw-r--r--
POSIX.pm	2023-11-23 22:02:19	19.87 KB	root:root	-rw-r--r--
SelectSaver.pm	2023-11-23 22:02:19	344 B	root:root	-rw-r--r--
Socket.pm	2023-11-23 22:02:19	13.54 KB	root:root	-rw-r--r--
Symbol.pm	2023-11-23 22:02:19	2.05 KB	root:root	-rw-r--r--
XSLoader.pm	2023-11-23 22:02:19	3.87 KB	root:root	-rw-r--r--
attributes.pm	2023-11-23 22:02:19	3 KB	root:root	-rw-r--r--
base.pm	2023-11-23 22:02:19	8.7 KB	root:root	-rw-r--r--
bytes.pm	2023-11-23 22:02:19	447 B	root:root	-rw-r--r--
bytes_heavy.pl	2023-11-23 22:02:19	758 B	root:root	-rw-r--r--
constant.pm	2023-11-23 22:02:19	5.6 KB	root:root	-rw-r--r--
feature.pm	2023-11-23 22:02:19	4.7 KB	root:root	-rw-r--r--
fields.pm	2023-11-23 22:02:19	4.89 KB	root:root	-rw-r--r--
integer.pm	2023-11-23 22:02:19	172 B	root:root	-rw-r--r--
lib.pm	2023-11-23 22:02:19	2.23 KB	root:root	-rw-r--r--
locale.pm	2023-11-23 22:02:19	3.34 KB	root:root	-rw-r--r--
overload.pm	2023-11-23 22:02:19	4.34 KB	root:root	-rw-r--r--
overloading.pm	2023-11-23 22:02:19	964 B	root:root	-rw-r--r--
parent.pm	2023-11-23 22:02:19	460 B	root:root	-rw-r--r--
re.pm	2023-11-23 22:02:19	8.5 KB	root:root	-rw-r--r--
strict.pm	2023-11-23 22:02:19	1.57 KB	root:root	-rw-r--r--
utf8.pm	2023-11-23 22:02:19	313 B	root:root	-rw-r--r--
utf8_heavy.pl	2023-11-23 22:02:19	26.66 KB	root:root	-rw-r--r--
vars.pm	2023-11-23 22:02:19	1.12 KB	root:root	-rw-r--r--
warnings.pm	2023-11-23 22:02:19	25.33 KB	root:root	-rw-r--r--

what is DevSecOps Archives - Michigan AI Application Development - Best Microsoft C# Developers & Technologists

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DevOps vs DevSecOps

Jan 1, 2023 | Custom Software Development, Software Development, Software Development Services

DevOps and DevSecOps are two related concepts in the field of software development and operations. DevOps is a term that describes the collaboration between software developers and IT operations teams to deliver software faster and more reliably. DevSecOps is an extension of DevOps that incorporates security considerations into the development and delivery process.

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Approaching AI: How Today’s Businesses Can Harness Its Capabilities

Artificial Intelligence (AI) has transitioned from being a speculative concept in science fiction to a transformative force across numerous industries. Among the most intriguing aspects of AI are AI agents, which are software entities that perform tasks on behalf of users. Understanding AI agents in real-world terms involves examining their components, capabilities, applications, and the ethical considerations they raise.

AI Agents: Bridging the Gap Between Technology and Real-World Applications

Among the most intriguing aspects of AI are AI agents, which are software entities that perform tasks on behalf of users. Understanding AI agents in real-world terms involves examining their components, capabilities, applications, and the ethical considerations they raise.

Utilizing AI Agents for Effective Legacy Code Modernization

As companies strive to keep pace with innovation, the modernization of legacy code becomes imperative. Artificial Intelligence (AI) agents offer a compelling solution to this problem, providing sophisticated tools and methodologies to facilitate the transition from legacy systems to modern architectures.

Embracing the Future: How AI Agents Will Change Everything

The future with AI agent technology holds immense promise for transforming our world in profound and unprecedented ways. From personalized experiences and seamless integration into daily life to empowering human-computer collaboration and revolutionizing healthcare, AI agents are poised to redefine the way we live, work, and interact with technology.

AI Agents vs. Traditional Customer Support: A Comparative Analysis

While traditional support offers a human touch and emotional connection, AI agents provide scalability, efficiency, and 24/7 availability. Moving forward, businesses must carefully assess their unique needs and customer expectations to determine the optimal balance between AI-driven automation and human interaction.

The Future of Business Intelligence: AI Solutions for Data-driven Decision Making

The future of business intelligence is AI-powered, where data becomes not just a strategic asset but a competitive advantage. In today’s hyper-connected digital world, data has become the lifeblood of business operations. Every click, purchase, and interaction generates valuable information that, when analyzed effectively, can provide crucial insights for strategic decision-making.

Democratized AI: Making Artificial Intelligence Accessible to All

Democratized AI has the potential to revolutionize industries and improve society by making AI technologies more accessible and inclusive. However, it also presents challenges such as data privacy, bias, and ethical considerations that must be addressed to ensure responsible implementation.

Explainable AI (XAI): Techniques and Methodologies within the Field of AI

Imagine a black box. You feed data into it, and it spits out a decision. That’s how many AI systems have traditionally functioned. This lack of transparency can be problematic, especially when it comes to trusting the AI’s reasoning. This is where Explainable AI (XAI) comes in.

Building an AI-Ready Workforce: Key Skills and Training Strategies

As artificial intelligence (AI) continues to transform industries and reshape the employment landscape, the demand for a skilled AI-ready workforce intensifies. Organizations across various sectors are recognizing the imperative of equipping their employees with the necessary skills and knowledge to thrive in an AI-driven world.

Working Together: Approaches to Multi-agent Collaboration in AI

Imagine a team of specialists – a data whiz, a communication expert, and an action master – all working in sync. This is the power of multi-agent collaboration, with the potential to revolutionize fields like scientific discovery, robotics, and self-driving cars. But getting these AI agents to collaborate effectively presents unique challenges