The 2020 HumAIn Year In Review
Episodes and Articles from the HumAIn Podcast
|David Yakobovitch||Dec 28, 2020||2|
For Technology, 2020 became a historic year with data at scale, artificial intelligence deployed across airports and for tracking COVID-19, and the emergence of new developer tools to speed the adoption and automation of technologies.
Today I summarize the most popular and most important posts of the year on HumAIn.
Here is the 2020 list.
The Five Most-Viewed Articles
The five most-viewed articles on HumAIn according to page views:
How to Fight Coronavirus with Data Science and AI — Research from BlueDot and Harvard Medical School at the onset of the Pandemic
What Skills New and Seasoned Data Scientists Should Learn in 2020 — MLOps, Agile, Deep Learning and more
What are the Top 10 Data Science and AI Books of 2020 — Python, R, and breakout frameworks such as TensorFlow and PyTorch.
Transform Your Data Science Projects with these 5 Steps of Design Thinking — There are five Steps: Data Cleaning, Refinement, Expansion, Learning, and Maintenance.
Top 10 Developer Jobs — How Full Stack Developers and Machine Learning Engineers became more in-demand.
Thanks to the expansion of the HumAIn Podcast I devoted more Episodes this year to interviews, including:
Ben Byford on How to Repair Trust and Enable Ethics by Design for Machine Learning.
Katya Klinova and B Cavello from The Partnership on AI on How to Ensure Worker Well-Being in Artificial Intelligence.
Felipe Longe on How You can Learn Chess with AI and Magnus Carlsen in Play Magnus.
Jared Goldberg on How to Simplify Weather Impact on Society.
Sam Horodezky on How Data Informed Loops Changed the Future of Design.
Merav Yuravlivker on How to Accelerate the Data Economy for the Next Workforce.
Matthew O’Kane on How Businesses Can Scale Practical AI Products in a Post-COVID World.
Nikita Shamgunov on The Impact of Data Management and AI During COVID-19.
Nikolas Badminton on Artificial Intelligence and the COVID Pandemic.
Ashwin Rao of Collabera on A Virtual Workforce Model for COVID-19 and Beyond.
Daniel Pianko on the future of Online Learning and Education.
Chris Bishop on how to future proof your career in Data Science.
Jerry Ting of Evisort on how to transform the Legal industry with Contract Law and AI.
Daniel Whitenack on Modern NLP and AI.
Gideon Mendels of CometMl on why Machine Learning is part of the Software Engineer’s toolkit.
Rishal Hurbans on Grokking Artificial Intelligence.
Gabriele Columbro of FINOS on the rise of Open Source in Financial Services
Fernando Gómez-Baquero of Cornell Tech on how founders scale products and startups.
Brooklyn Borough President Eric Adams on what New Yorkers can do to build stronger communities.
Beth Partridge on how Enterprises can build Data Science teams.
Jake Porway of DataKind on how AI can create positive social outcomes.
Lorna Davis on how people can create authentic work relationships.
Saleema Vellani on how to humanize Data Science with Design Thinking.
Jakub Krcmar on how AI can protect physical objects.
Hefin Rhys on Machine Learning with R.
Christoph Lütge of TUM on why Responsible AI is needed for Explainable AI Systems.
Karen Bhatia of NYCEDC on New York’s Job Creation in Technology.
Nick Walton on building AI Dungeon 2 with GPT-2.
Cyrus Radfar on Privacy and Data Access.
I wish all of you a Healthy Holiday Season and Happy New Year in 2021!