Ever wondered how AI can supercharge your business without needing a PhD in computer science? In Episode 6 of AI Unleashed, we’re breaking down the Generative AI development lifecycle into six simple steps. Learn how to identify your business needs, prep your data, pick the right AI model, and deploy it—all without writing a line of code. From marketing campaigns to healthcare innovations, see how AI is transforming industries. Plus, we dive into why ethics matter and how to keep your AI fair and secure. Tune in, get inspired, and start your AI journey today!

Think Generative AI is just for tech experts? Think again! In Episode 5 of AI Unleashed: Transforming Business with Generative AI, we simplify building a business case for GenAI. Discover how to identify impactful use cases, calculate ROI, and win over leadership—no tech degree required. With expert insights, this episode equips business leaders, product managers, and sales pros with the tools to drive real results. Tune in now!

This podcast episode, hosted by Krishna Debnath (using AI Voice), offers actionable guidance on integrating AI into business strategy. It emphasizes aligning AI initiatives with specific business goals, securing stakeholder buy-in through education and ROI communication, and setting realistic timelines and budgets for AI projects.

The guide provides a step-by-step approach including data assessment, team building, and iterative piloting to achieve quick wins and measure success. Ultimately, the podcast encourages listeners to draft their own AI strategies by defining goals, assessing data, and identifying key stakeholders.

Mastering Prompt Engineering: Unlock AI's Full Potential

This podcast episode focused on mastering prompt engineering for Generative AI. Itintroduces the PROMPT framework as a method for effective communication with AI to achieve better results across various fields.The podcast episode includes practical examples demonstrating how prompt engineering can improve resume writing, interview preparation, product development, sales, customer service, and education.A personal success story highlights the transformative impact of prompt engineering on career growth and productivity.The aim is to provide listeners with actionable insights and encourage them to experiment with AI prompting in their own lives and professions.

This podcast episode #2 , "The Foundations of Generative AI," explains the core models driving this technology. Generative Adversarial Networks (GANs) are compared to a forger and detective improving iteratively. Variational Autoencoders (VAEs) are described as creatively manipulating existing data. Large Language Models (LLMs) process massive text data to generate human-like text. Diffusion Models reverse a noise-adding process to create images. The episode concludes by illustrating these models' applications in tools like ChatGPT, Gemini, and DALL-E, and explaining the basic input-training-generation-output workflow of generative AI.

The first episode of Mastering Generative AI introduces the podcast and its goals1. The host shares a personal anecdote about discovering an AI tool that generated lifelike images from text prompts, which sparked their interest in the fields. The podcast aims to explore the potential of Generative AI to transform businesses, inspire creativity, and drive innovation. The series will cover how Generative AI works, its practical applications, ethical considerations, and future trends, featuring expert interviews and case studies. The host emphasizes the importance of Generative AI in various industries, such as marketing, product development, customer service, and healthcare. Generative AI is portrayed as a tool to empower businesses by enabling them to work faster, smarter, and more creatively.

The first episode of the "Mastering Generative AI" podcast introduces the series and its goals. The host, Krishna Debnath, explains his motivation for starting the podcast stemmed from helping his daughter with a Generative AI project, which made him realize the need to bridge the gap between the technical aspects of AI and its practical applications in business.

Disclaimer: Some content in this podcast is created using Generative AI tools like ChatGPT, GitHub Copilot, and Gemini, and the voice you hear is AI-generated. While we strive for accuracy and clarity, this podcast is for informational purposes only and should not be considered professional advice.