Analytics vs. Data Science vs. ML Research: Economist Sonali Syngal Shares Her View

Data Science Salon Podcast

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محتوای ارائه شده توسط Data Science Salon and Dat Science Salon. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Data Science Salon and Dat Science Salon یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

Mind The Business: Small Business Success Stories

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Understanding Taxes as a Newly Formed Small Business - Part 2 of the Small Business Starter Kit 28:24

25 روز پیش28:24

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28:24

In our second installment of the Small Business Starter Kit series - we’re tackling a topic that’s sometimes tricky, sometimes confusing, but ever-present: taxes. Hosts Austin and Jannese have an insightful conversation with entrepreneur Isabella Rosal who started 7th Sky Ventures , an exporter and distributor of craft spirits, beer, and wine. Having lived and worked in two different countries and started a company in a heavily-regulated field, Isabella is no stranger to navigating the paperwork-laden and jargon-infused maze of properly understanding taxes for a newly formed small business. Join us as she shares her story and provides valuable insight into how to tackle your business’ taxes - so they don’t tackle you. Learn more about how QuickBooks can help you grow your business: QuickBooks.com See omnystudio.com/listener for privacy information.…

۴ سال پیش 51:30

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Formulatedby's Senior Content Advisor, Q McCallum, met up with Sonali Syngal to explore these questions. Sonali is currently a data scientist at MasterCard and is about to join the team at Expedia. She came to data science from the rather uncommon entry point of economics. In this episode we see that her career path has given her key insights on how to join this field and what are the differences between the various roles therein.(Some listeners may recognize Sonali's voice from a previous episode: she spoke at Data Science Salon in December 2020, where she also joined us for our Coffee Chat. You can check out that episode to learn more about Sonali's take on ML/AI in the world of fintech.)

Sonali mentioned Christopher Olah's blog, which lives at: https://colah.github.io (Christopher was working at Google when Sonali found his blog, though he has since moved to OpenAI.)
Sonali and Q are both fans of the 3Blue1Brown YouTube channel. It offers clear, relatable explanations of linear algebra and neural networks: https://youtu.be/aircAruvnKk
This is DeepLizard’s deep learning playlist that Sonali mentioned: https://youtube.com/playlist?list=PLZbbT5o_s2xq7LwI2y8_QtvuXZedL6tQU

43 قسمت

#Tech #Careers #Business #Formulatedby #Data Science #Artificial Intelligence #Big Data #Data #Data Scientist #Machine Learning

Analytics vs. Data Science vs. ML Research: Economist Sonali Syngal Shares Her View

Data Science Salon Podcast

32 subscribers

published ۴ سال پیش

اشتراک گذاری

MP3•خانه قسمت

Sonali mentioned Christopher Olah's blog, which lives at: https://colah.github.io (Christopher was working at Google when Sonali found his blog, though he has since moved to OpenAI.)
Sonali and Q are both fans of the 3Blue1Brown YouTube channel. It offers clear, relatable explanations of linear algebra and neural networks: https://youtu.be/aircAruvnKk
This is DeepLizard’s deep learning playlist that Sonali mentioned: https://youtube.com/playlist?list=PLZbbT5o_s2xq7LwI2y8_QtvuXZedL6tQU

43 قسمت

#Tech #Careers #Business #Formulatedby #Data Science #Artificial Intelligence #Big Data #Data #Data Scientist #Machine Learning

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Bridging AI and Business: Conversational AI & Communicating Data Value 24:53

۶ روز پیش24:53

24:53

In this episode of the Data Science Salon Podcast, host Anna Anisin sits down with two incredible leaders driving innovation in AI and data science. First, Noelle Russell, CEO at AI Leadership Institute, shares her expertise on Conversational AI and intelligent contact centers. She discusses how companies can leverage AI-driven solutions to enhance customer experiences, streamline operations, and overcome key challenges in implementing intelligent engagement strategies. Noelle also highlights her experience leading AI initiatives at top tech companies, offering a unique perspective on the evolving role of AI in business. Next, Amarita Natt, Managing Director of Data Science at Econ One Research, dives into one of the biggest challenges in data science: communicating the value of AI and ML projects to business leaders and clients. She explores the common disconnect between technical teams and executives, sharing strategies for framing data insights in a way that drives decision-making and measurable impact. Both guests provide valuable takeaways for data professionals looking to bridge the gap between AI technology and real-world business success. Tune in for an engaging conversation on AI adoption, communication strategies, and the future of intelligent systems in business!…

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AI for Good: Generative AI’s Impact & Elevating Women in STEM 38:25

13 روز پیش38:25

38:25

In this episode of the Data Science Salon Podcast, host Anna Anisin sits down with two powerhouse leaders shaping the future of AI and inclusivity in tech. First, Jennetta George, SVP of AI at AlixPartners & CEO of Artificially Intelligent, shares her expertise on leveraging Generative AI for real-world impact. From forecasting market trends in finance to optimizing operations in healthcare and insurance, Jennetta dives into how LLMs are moving beyond hype into practical enterprise adoption. She also discusses strategies for navigating AI challenges and how businesses can harness AI for competitive advantage. Next, Anna is joined by Eve Psalti, Principal Group Program Manager at Microsoft and a passionate advocate for women in STEM. Eve highlights the barriers women still face in tech and the steps needed to foster a more inclusive industry. She shares insights on mentorship, hiring practices, and the importance of diverse leadership in AI and data science. Both guests provide invaluable perspectives on the evolving AI landscape and the role of diversity in driving innovation. Tune in to explore the intersection of AI, business transformation, and inclusivity in tech!…

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Building Data Excellence at Nordstrom: Scaling Standards & Measurement for Impact 34:50

۶ weeks پیش34:50

34:50

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Exploring the Past, Present, and Future of AI/ML 40:47

۹ weeks پیش40:47

40:47

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11 weeks پیش18:47

18:47

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Data-Driven Excellence: AI and Analytics in Action with Matthew Denesuk & Jaime Russ 32:41

29 weeks پیش32:41

32:41

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34 weeks پیش25:37

25:37

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AI at the Crossroads: Bias, Diversity, and Scalability with Boshika Tara and Dr. June Andrews 27:48

36 weeks پیش27:48

27:48

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38 weeks پیش21:00

21:00

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40 weeks پیش21:25

21:25

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41 weeks پیش20:44

20:44

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Leveraging Statistical Models and ESG to Grow Your Business with Laura Gabrysiak and Rochelle March 36:20

42 weeks پیش36:20

36:20

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1
FinTech Insights: AI Innovations, Privacy Strategies, and Synthetic Data with Harry Mendell & Supreet Kaur 32:06

43 weeks پیش32:06

32:06

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1
Context Matters: Generative AI, the spectrum of worldviews, and understanding propaganda's appeal 50:45

1 year پیش50:45

50:45

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1
When companies try to "sprinkle some AI" on a product 58:18

۲ years پیش58:18

58:18

If you've been in the data game long enough, you've probably seen this before: a stakeholder or product owner approaches you with a project that's 95% done, and they'd like you to … "sprinkle some AI on it." They've heard that this "AI" thing can be useful so they want some of it in their latest effort.Data scientist-turned-product person Noelle Saldana has experienced the "sprinkle some AI on it" request more times than she'd care to remember. Our Senior Content Advisor Q McCallum met up with Noelle to explore this phenomenon. How does this happen? (Hint: "corporate FOMO.") What should you do when stakeholders insist on implementing AI that isn't actually going to help? What about when your data scientist peers seem like they're doing this for the sake of "résumé-driven development?"Ultimately, the pair work through the bigger issue: how do you make peace with companies throwing money at AI like this? And how can these companies use this approach to their advantage?As a bonus, Noelle shares how she made the move from a data scientist role into product management. If this path sounds interesting to you, take a listen. Noelle's Data Council talk, "Hot Takes and Tragic Mistakes: How (not) to Integrate Data People in Your App Dev Team Workflows" Find Noelle on LinkedIn: https://www.linkedin.com/in/noellesio/ Q's blog post (which came out much better thanks to Noelle's help): " AI isn't something you just add to a company "…

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