{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Brand Design Masters - Personal Branding, Creative Entrepreneurship, Small Business Marketing & Career Success for Designers and Content Creators","title":"AI Without the Hype: with Mitali Deypurkaystha","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/2d463c49\"></iframe>","width":"100%","height":180,"duration":3701,"description":"AI is in the midst of changing the landscape of business, careers and humanity as a whole. And if you're like most creative professionals or business owners, you're probably feeling a mix of curiosity, overwhelm, and maybe even a little fear.\nIn this episode, I sit down with certified AI consultant Mitali Deypurkaystha to cut through the noise and get practical. We talk about what’s really happening in the AI landscape, why most businesses are getting it wrong, and how you can approach AI in a way that actually drives results without chasing shiny objects.\nMitali shares a grounded, human-first approach to AI adoption. Instead of starting with tools, she explains why you should start with your business bottlenecks. We also dive into how poor data can completely derail AI initiatives, what “agents” actually are (without the hype), and how creative professionals can stay relevant and valuable in an AI-driven world.\nWe also explore her Human First Responsible AI Pledge, a framework designed to help businesses implement AI ethically and responsibly.\nIf you’re trying to figure out how AI fits into your business or career, this conversation will help you get out of overwhelm and into clarity.\n\nWhat We Cover\nWhy most people feel behind with AI and why that’s not true\nWhy most AI pilots fail and how to avoid the same mistakes\nHow to cut through AI overwhelm by focusing on business bottlenecks first\nWhy AI is not a replacement for creative professionals, but a multiplier\nThe hidden danger of bad data and how it leads to poor AI results\nA simple, practical breakdown of what AI agents are and how they work\nWhy human skills and real conversations are becoming more valuable, not less\nKey Takeaways\nStart with problems, not tools. AI should solve bottlenecks, not create new ones.\nClean, structured data is the foundation of any successful AI implementation.\nCreative professionals have an advantage. Better inputs lead to exponentially better outputs.\nAI agents are not magic. They...","thumbnail_url":"https://img.transistorcdn.com/y0HscpPZ-YMirV8OIyHBE0TIMNWr48z3ohMEERh_Qz8/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzY0NDIvMTcwNzcz/MzkwNC1hcnR3b3Jr/LmpwZw.webp","thumbnail_width":300,"thumbnail_height":300}