Jonas and Adrien launch themselves into the podcast journey and are pleased to welcome you on board! In this podcast, we are discussing Data Science with Guillaume Coqueret (twitter.com/g_coqueret)

In this conversation, we addressing Guillaume's path through programming and how can someone start a journey into Data Science. Also, we debate on the industry and its future opportunities and limitations.

Feel free to reach out to us for feedback or topic/guest suggestions – and enjoy the podcast!

Want to go further? Guillaume shares his recommendations:

François Chollet (Google) is by far my favorite AI contributor both in terms of software & thoughts. The following links are incredibly dense and a bit technical, but worth your time!
https://medium.com/@francois.chollet/the-impossibility-of-intelligence-explosion-5be4a9eda6ec
https://medium.com/@francois.chollet/what-worries-me-about-ai-ed9df072b704
https://www.zdnet.com/article/keras-creator-chollets-new-direction-for-ai-a-q-a/

Gary Marcus (NYU) belongs to the team of experts that warn against the perils of AI overhype. 
https://syncedreview.com/2019/02/15/ai-hasnt-found-its-isaac-newton-gary-marcus-on-deep-learning-defects-frenemy-yann-lecun/

Yann Lecun (Facebook), Gary's frenemy:
https://www.zdnet.com/article/high-energy-facebooks-ai-guru-lecun-imagines-ais-next-frontier/

Erik Brynjolfsson (MIT): an expert on AI & big data and how they impact the workplace:
https://www.hoover.org/research/how-will-machine-learning-transform-labor-market
(Famous quote: “Over the next decade, AI won’t replace managers, but managers who use AI will replace those who don’t.”)

The R community (I had to be brief):
https://www.r-consortium.org/blog/2019/08/12/r-community-explorer
https://reshamas.github.io/why-women-are-flourishing-in-r-community-but-lagging-in-python/
Some members (non exhaustive list !!!): 
The RStudio team: https://rstudio.com/about/ (some individuals below)
Hadley Wickham (tidyverse): http://hadley.nz
Yihui Xie (RMarkdown!): https://yihui.org/en/
Jenny Bryan (tidyverse): https://jennybryan.org/about/
Mara Averick (tidyverse): https://maraaverick.rbind.io/about/
Thomas Pedersen (visualizations): https://www.data-imaginist.com/about
Julia Silge (text mining): https://juliasilge.com
Kara Woo: https://karawoo.com
Thomas Mock: https://thomasmock.netlify.com
Max Kuhn (machine learning): https://twitter.com/topepos
Joe Cheng (Shiny !!!): https://rviews.rstudio.com/2017/01/04/interview-with-joe-cheng/

Data Science with Guillaume Coqueret

In this episode we tackle the design thinking methodology and the different reasons why companies should leverage design as a strength. How can innovation answers consumers' needs rather than supporting a race in technology?

To discuss this topic, we are hosting Yihyun Lim, director at the MIT Design Lab. We met our guest during an intensive workshop session at emlyon Business School, where she was a guest professor teaching User Experience and Design Thinking. 

She taught us the basics of the design thinking methodology and how it could be used to create a business idea. Thanks to Yihyun's experience in project management, she coached our class and lead us to success. 

Feel free to reach out to us for feedback or topic/guest suggestions – and enjoy the podcast!

Find this episode on Spotify, too: https://open.spotify.com/show/06xLCV3nO466fQjrh1gIwb

Design Thinking with Yihyun Lim

While products and services are becoming more complex, consumers are choosing trust as the main factor when deciding whether to buy. How does a marketer react to that? 

We invited prof. Charles Hofacker from Florida State University to discuss that, among other topics. As a frequent guest at emlyon business school, prof. Hofacker is an expert on interactions between marketing and information technology.

In this episode, we explore how marketing research looked in the past, the role of psychology and artificial intelligence in marketing, questions of consumer trust and product complexity, as well as the emerging technologies when making marketing decisions.

Feel free to reach out to us for feedback or suggestions – and enjoy the podcast!

Marketing Product Complexity with prof. Charles Hofacker

This podcast episode is asking how Artificial Intelligence and other trending technologies created value for companies but also how can they create a trap for investors. While we witness large movements in the economy during this COVID-19 context, we tried to understand how were investors evaluating companies and how were they investing in the market. 

The tech sector has been outperforming the market in 2019, even now in 2020 during the crisis, but what is truly driving this high valuation?
We will try to analyze what are investors seeking when putting their money on Facebook, Amazon, Google or Tesla, as well as highlighting the potential risks when investing in the tech sector:
- Miss usage of personal data
- Lawsuits
- Lack of earnings

"In Europe, 40% of Artificial Intelligence startups are actually not using Artificial Intelligence" - Many companies received huge amounts of money based on buzzwords and we will be wondering if tech companies are genuinely leveraging the technologies they sell and pitch to investors or are abusing them. With this large "facade" valuation, are we going towards an Artificial Intelligence bubble on the markets?
And where to invest during such critical times? Many questions that we will try to discuss in this episode, we hope you will like it.

Feel free to reach out to us for feedback or suggestions – and enjoy the podcast!

Tech Valuation & Post-Virus Economy with Emily McCormick

Today's episode will dive into the complex world of Programmatic Advertising.
With our guest Nicolas Sejourné, a Senior Digital Learning Manager at Criteo, we discussed the power of programmatic advertising, the technology behind it, and mostly WHY we are using it! We examined the advantages of leveraging such technology in your digital marketing campaigns and how it impacted the performances of advertisers on the market. The data produced by the technology is used as a resource to upgrade the technology itself and optimizing the campaigns constantly. 


In a heavily populated market, Criteo and its Programmatic advertising service must constantly reinvent itself and adapt to the advertisers' needs.
With a business based on the performances delivered, competition is like battling in an arena where only the companies with a vision of the future, added value with consulting, and a great capacity to adapt to the new rules of the ecosystem (cf: Apple or Google policies on third-party cookies and retargeting) will survive!


Furthermore, what does it mean for our society, and us as consumers? Massive automated advertising system based on our behavior online, will we always see the same ads and remain in a filtering bubble, never discovering new products unrelated to the digital traces we left.

We hope you will like this episode as much as we did!

Feel free to reach out to us for feedback or suggestions – and enjoy the podcast!

Programmatic Advertising with Nicolas Sejourné

A conversation with prof. John Deighton of Harvard Business School dedicated to online tracking. 

As Google Chrome will phase out third-party cookies, the internet advertising landscape is bound to change. How will Google compete with Facebook and Apple? Will the smaller players be able to survive this change? Should web cookies be completely private, or should governments intervene?

Listen on Spotify, too: https://open.spotify.com/episode/0wInQQFclbB2aim0At7Fpd

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