DiscoverDataDunk - The UnDaily Podcast
DataDunk - The UnDaily Podcast
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DataDunk - The UnDaily Podcast

Author: DataDunk

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Description

We humans have been using data since time immemorial. But very recently, we started talking about data, and it has been one of the most used terms in the last decade.

Yet we have still just scratched the surface, so we got you DataDunk. Your one-stop-shop to keep you updated with "everything data".

In each episode, we inform you on the latest research, new product launches and how companies are using data analytics or data science concepts to grow their business.
12 Episodes
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In today’s podcast, we will shed light on CLIP which is OpenAI's Art generating AI tool.
In today’s podcast, we feature how AI has been helping to predict the loss of ice in the Arctic Sea.
In today’s podcast, we feature how the Hollywood actor Val Kilmer could speak again through an AI program.
In this podcast, we feature the use of Machine Learning to generate insights into worldwide terrorist attacks.
In this Podcast, we talk about how machine learning provided a competitive advantage to National teams at the Tokyo 2020 Olympic Games.
In this Podcast, the host, Palash Kanwar, features how BERT is generating SEO friendly headlines.
In this Podcast, the host, Palash Kanwar, answers why The Pentagon has assigned a team to hack itself.
In this Podcast, the host, Palash Kanwar, talks about how the mining industry is using AI to optimize processes, enhance decision-making, derive value from data, and improve safety.
In this Podcast, the host, Palash Kanwar, features how augmented or virtual reality known together as mixed reality might transform the travel industry.
In this Podcast, the host, Palash Kanwar, features the use of AI for automation and emotion analysis at call centers.
In this Podcast, the host, Palash Kanwar speaks about how data experts are using Machine Learning models to predict Covid-19 severity & maneuver decision making.
In this Podcast, the host, Palash Kanwar informs you on how researchers are using machine learning to translate brain signals from a paralyzed patient into text.
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