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<div class="span index">1</div> <span><a class="" data-remote="true" data-type="html" href="/series/mind-the-business-small-business-success-stories">Mind The Business: Small Business Success Stories</a></span>
Owning a small business can be one of the most rewarding and challenging things a person does. Amid an uncertain economy and ever-evolving consumer trends, there is a lot to figure out and navigate to ensure your business thrives. Join hosts Jannese Torres (Yo Quiero Dinero) and Austin Hankwitz (Rate of Return) as they connect with small business owners and hear their stories about managing the ups and downs of starting and growing a small business. Listen to "Mind the Business: Small Business Success Stories" and learn valuable lessons from their experiences that will guide you along the way through your own small business journey.
Content provided by Giggso. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Giggso or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Giggso is a No-Code ModelOps Observability platform for Data Science, Engineering teams, and Business execs.
Content provided by Giggso. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Giggso or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Giggso is a No-Code ModelOps Observability platform for Data Science, Engineering teams, and Business execs.
Discover the key differences between Model Ops and ML Ops, implementation strategies, and which approach is right for your business. Read More https://www.giggso.com/model-ops-vs-ml-ops/
Model Ops, short for Model Operations, refers to the practices and processes involved in managing and deploying machine learning models in production. It is a relatively new field that focuses on the operational aspects of machine learning, aiming to bridge the gap between data science and IT operations Read More: https://www.giggso.com/model-ops-an-introduction/…
Observability in ML is crucial because it helps data scientists, engineers, and operators gain visibility into the internal workings of complex ML systems and detect issues or anomalies that may affect their performance. Read More: https://www.giggso.com/ml-observability-in-giggso/
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