Italian Trulli Philippe Barbe

credit: Marten Bjork on Unsplash
23 Jun 2021

Seeking a new position? Be persistent!

Several press outlets are reporting on what’s being called “The Great Resignation” based on the numbers of resignations happening in corporate America right now. Similar to what happened during the Great Recession of 2008, the Covid-19 pandemic saw many people displaced from their roles and those who weren’t clung tightly to the job they had.


credit: Jexo on Unsplash
16 Jun 2021

The pleasure of reading code, good or bad

The work of a Data Scientist is to build and apply knowledge and systems that produce insights to support decision making. The primary tool used by Data ScieThe work of a Data Scientist is to build and apply knowledge and systems that produce insights to support decision making. The primary tool used by Data Scientists to do this work is computer code.


credit: Timon Wanner on Unsplash
09 Jun 2021

Preserving the fire

In 1999, the Bureau of Labor Statistics predicted that 5% of children in grade school at that time would end up in jobs that hadn’t yet been created. And, the Institute for the Future predicted in 2017 that around 85% of the jobs that today’s learners will be doing in 2030 haven’t been invented yet. Other predictions see 30% of the workforce changing careers every 12 months.


credit: Photo by Anne Nygård on Unsplash
02 Jun 2021

Praise for the hammer and the nail

If all you have is hammer, everything looks like a nail.


credit: Honeycomb and propagation of flatness, courtesy Dr. W.S. Li
26 May 2021

Should you hire a professional Mathematician?
Part 5: Who do you hire?

If you are going to hire a professional mathematician for all the non-technical skills that were described in parts 2 and 3 of this series, for the reason explained in part 4, how will you go about it?


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19 May 2021

Should you hire a professional Mathematician?
Part 4: why working for your company?

As described in part 1 on this series of articles, the work of a professional mathematician is very different than what most people think. It relies on skills that go far beyond the obvious one of being good at math. As indicated in parts 2 and 3, these skills are not only highly transferable, but also highly valuable.


credit: courtesy Dr. W.S. Li
12 May 2021

Should you hire a professional Mathematician?
Part 3: Not so obvious transferable skills

Business is complex!


05 May 2021

Should you hire a professional Mathematician?
Part 2: straightforward transferable skills

No business I know of is in the business of proving theorems! But, a lot a businesses do benefit from hiring Mathematicians or I know a lot more who could.


credit: courtesy Dr. W.S. Li (Honeycomb, its dual, its puzzle)
28 Apr 2021

Should you hire a professional Mathematician?
Part 1: what do professional mathematicians do?

What do Mathematicians actually do and why, as a business person, should you care?


credit: falco from Pixabay (truck) and Elias Schäfer from Pixabay (TV)
21 Apr 2021

Trucking = media : a Mathematician’s look at business patterns

Few months ago, I needed to learn about the Trucking industry in order to understand how Data Science could be applied to improve decision making and transactional systems in that industry.


credit: Licht-aus from Pixabay
14 Apr 2021

How does a Mathematician think about a business?

Have you ever wondered how others think?


credit: Andy Leung from Pixabay
07 Apr 2021

Future Programming in Programmatic Television

Programmatic television advertising (“programmatic”) is a catchy term for the automation of the buying and selling of ads on linear television. A concept that has been around for several years, the idea is to give advertisers in the traditional media space the analogue of tools available for digital advertising.


credit: Alexandra from Pixabay
31 Mar 2021

No more cookies! Will the media industry starve to death?

Cookies are little files that are stored on your computer when you browse the internet. When you log onto a website, a cookie is stored on your computer that allows you to navigate on that website without retyping your password every time you click something. Different types of internet cookies exist with different purposes.


credit: Daniel Kirsch from Pixabay
24 Mar 2021

The edited media ecosystem at a critical juncture

Part 20 of 20 in a series examining the interplay of Data Science, AI, the media and advertising.


credit: GR Stocks on Unsplash
17 Mar 2021

Managing the Risks of Advertising Campaigns

Part 19 of 20 in a series examining the interplay of Data Science, AI, the media and advertising.


credit: Gerd Altmann from Pixabay
10 Mar 2021

Content valorization

Part 18 of 20 in a series examining the interplay of Data Science, AI, the media and advertising.


credit: 3D Animation Production Company from Pixabay
03 Mar 2021

Pricing strategies for negotiated advertising

Part 17 of 20 in a series examining the interplay of Data Science, AI, the media and advertising.


credit: Mika Baumeister on Unsplash
24 Feb 2021

Some general considerations on the pricing of advertisements

Part 16 of 20 in a series examining the interplay of Data Science, AI, the media and advertising.


credit: Gerd Altmann from Pixabay
17 Feb 2021

Entity resolutions

Part 15 of 20 in a series examining the interplay of Data Science, AI, the media and advertising.


credit: Image by Gerd Altmann from Pixabay
10 Feb 2021

Forecasting media audience

Part 14 of 20 in a series examining the interplay of Data Science, AI, the media and advertising.


credit: Free-Photos from Pixabay
03 Feb 2021

Measuring audience

Part 13 of 20 in a series examining the interplay of Data Science, AI, the media and advertising.


credit: Joshua Sortino on Unsplash
27 Jan 2021

A path forward for the edited media industry

Part 12 of 20 in a series examining the interplay of Data Science, AI, the media and advertising.


credit: Michael Schwarzenberger from Pixabay
20 Jan 2021

Bottlenecks

Part 11 of 20 in a series examining the interplay of Data Science, AI, the media and advertising.


credit: Gerd Altmann from Pixabay
13 Jan 2021

Transacting advertising in the traditional media

Part 10 of 20 in a series examining the interplay of Data Science, AI, the media and advertising.


credit: Josh Appel on Unsplash
06 Jan 2021

Devaluation of the content and the audience

Part 9 of 20 in a series examining the interplay of Data Science, AI, the media and advertising.


credit: Arek Socha from Pixabay
30 Dec 2020

Audience segmentation and consolidation

Part 8 of 20 in a series examining the interplay of Data Science, AI, the media and advertising.


credit: Daria Lisovtsova on Unsplash
23 Dec 2020

Optimizing audience and audience segmentation

Part 7 of 20 in a series examining the interplay of Data Science, AI, the media and advertising.


credit: Ning Shi on Unsplash.com
16 Dec 2020

Global brands in a hyper fragmented landscape

Part 6 of 20 in a series examining the interplay of Data Science, AI, the media and advertising.


credit: ThisisEngineering RAEng (unsplash.com)
09 Dec 2020

Impact of the technology on the media landscape - fragmentation

Part 5 of 20 in a series examining the interplay of Data Science, AI, the media and advertising. Thus far in this series we’ve examined how:


02 Dec 2020

International legal landscape impacting media

Part 4 of 20 in a series examining the interplay of Data Science, AI, the media and advertising.


credit: Photo by NASA on Unsplash
25 Nov 2020

The domestic legal landscape in media

Part 3 of 20 in a series examining the interplay of Data Science, AI, the media and advertising.


18 Nov 2020

Search engines

Part 2 of 20 in a series examining the interplay of Data Science, AI, the media and advertising.


credit: Photo by Victor Xok on Unsplash
11 Nov 2020

Constants in the changes in the media industry

This is the first in a 20-part series of articles delving into the role of Data Science and AI in Media and Advertising that expands on presentations I made in the US, France and China. Future articles will address a range of related topics.


04 Nov 2020

Culture

I’m not exactly sure why (perhaps because I successfully moved from academia to business?) but I am often asked by colleagues, former employees, and sometimes recent graduates for career advice and what to look for in their next professional move.


credit: www.jeshoots.com / Author Jan Vasek - www.janvasek.cz
28 Oct 2020

Thinking strategically

Seeking my feedback, a CEO stated the strategy for his very large corporation as: “We will continue to nurture our cash generating businesses and invest in adjacent spaces.”


credit: www.oldbookillustrations.com
21 Oct 2020

Giving up principles

It is said that Data Science is a combination of statistics, computing, and business… three disciplines with underlying core principles.