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Surviving The Automation Wave

Surviving The Automation Wave

Released Thursday, 22nd June 2023
Good episode? Give it some love!
Surviving The Automation Wave

Surviving The Automation Wave

Surviving The Automation Wave

Surviving The Automation Wave

Thursday, 22nd June 2023
Good episode? Give it some love!
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In this riveting episode of the Jobs In Tech Podcast, hosts Brad and Bobby delve into the world of Artificial Intelligence (AI) and its profound impact on software developers and engineers within the tech industry. Join them as they explore the opportunities, challenges, and implications of this groundbreaking technology as they dive into topics such as what is AI, the role of AI in software development, ethical implications, and more! 


Introduction to AI:

Brad and Bobby kick off the episode by providing a concise overview of AI and its significance in today's tech landscape. They discuss the key concepts, including machine learning, deep learning, and neural networks, to set the stage for the conversation.


The Role of AI in Software Development:

Our hosts dive into how AI is changing the job landscape and the importance of upskilling to stay relevant in this evolving field.


AI's Impact on Software Engineering:

Brad and Bobby explore how AI is transforming the field of software engineering. They discuss the integration of AI algorithms in optimizing system performance, managing large-scale data, and predicting user behavior. They also emphasize the need for software engineers to understand AI principles and collaborate with AI specialists to develop innovative solutions.


Ethical Considerations and Bias in AI:

Our hosts delve into the ethical implications of AI and emphasize the importance of addressing biases embedded in algorithms. They touch on issues like algorithmic fairness, privacy concerns, and the responsibility of tech professionals to ensure ethical AI development and deployment.


Navigating the Future:

In the final topic, Brad and Bobby offer valuable insights into how software developers and engineers can prepare for an AI-driven future. They discuss the significance of continuous learning, adaptability, and interdisciplinary collaboration.


Listen Now!

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