Parinaz Sobhani joins us to discuss the cutting-edge work of Georgian, a collaborative company that helps start-ups implement and scale machine learning and AI. In this episode you will learn:<ul>
<li>Parinaz’s work at Georgian [5:35]</li>
<li>Use cases of Georgian’s work [14:35]</li>
<li>Tools and approaches Parinaz uses [32:27]</li>
<li>Environmental concerns of machine learning [42:52]</li>
<li>Hiring at Georgian and what Parinaz looks for [48:18]</li>
<li>How did Parinaz become interested in this? [56:19]</li>
<li>Fairness in AI [1:09:01]</li>
</ul> Additional materials: <a href="https://www.superdatascience.com/509">www.superdatascience.com/509</a>

Parinaz Sobhani joins us to discuss the cutting-edge work of Georgian, a collaborative company that helps start-ups implement and scale machine learning and AI. In this episode you will learn: Parinaz’s work at Georgian [5:35] Use cases of Georgian’s work [14:35] Tools and approaches Parinaz uses [32:27] Environmental concerns of machine learning [42:52] Hiring at Georgian and what Parinaz looks for [48:18] How did Parinaz become interested in this? [56:19] Fairness in AI [1:09:01] Additional materials: www.superdatascience.com/509

Parinaz Sobhani joins us to discuss the cutting-edge work of Georgian, a collaborative company that helps start-ups implement and scale machine learning and AI. In this episode you will learn:<ul>
<li>Parinaz’s work at Georgian [5:35]</li>
<li>Use cases of Georgian’s work [14:35]</li>
<li>Tools and approaches Parinaz uses [32:27]</li>
<li>Environmental concerns of machine learning [42:52]</li>
<li>Hiring at Georgian and what Parinaz looks for [48:18]</li>
<li>How did Parinaz become interested in this? [56:19]</li>
<li>Fairness in AI [1:09:01]</li>
</ul> Additional materials: <a href="https://www.superdatascience.com/509" rel="noopener noreferrer">www.superdatascience.com/509</a>

509: Accelerating Start-up Growth with A.I. Specialists

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

Science

Technology

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

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