50 Top Digital Influencers to Follow at the end of 2021 and in 2022

Here’s is our 2022 edition of 50 Top Global Digital Influencers to Follow on Twitter in 2022 [ranked by our home made algorithm]. This list is of course non exhaustive.

04/02/2022 Update

(This list is covering major Topics around the global economic & technical Digital Transformation, such as: Digital Marketing, Social Media Marketing, Artificial Intelligence (AI), Machine Learning, Deep Learning, AI Ethics, IoT (Internet of Things), IIoT (Industrial Internet of Things), Autonomous Vehicles, Digital & Health Tech, Cloud & Edge Computing, Smart Cities, Robots/Bots/Chatbots, The Future of Work, Data Science, Fintech, Insurtech, DevOps, Edtech, Cyber Security, VR & AR, Sustainablity, Environment, Blockchain …)

The ‘Authority Score’ in this list is a mix of online & also “real life” engagement. (“Giant” companies are not in this list because they obviuosly don’t “play the same game” ;=)

Hope you’ll enjoy this list (the ranking here is in fact not important, the important things are the ideas, knowledge, and insights shared by the experts & influencers there).

Take care, and stay all safe & healthy.

1. Eric Topol Twitter: @EricTopol | SCORE: 100 | Health Tech – Digital Transformation
2. Yann LeCun Twitter: @ylecun | SCORE: 93.5 | AI – Machine Learning
3. François Chollet Twitter: @fchollet | SCORE: 85.3 | AI – Machine Learning
4. Lex Fridman Twitter: @lexfridman | SCORE: 85.0 | Tech – AI – Machine Learning
5. Andrew Ng Twitter: @AndrewYNg | SCORE: 81.2 | AI – Machine Learning
6. Marc Benioff Twitter: @Benioff | SCORE: 80.0 | Digital Transformation
7. Imtiaz Adam Twitter: @DeepLearn007 | SCORE: 77.5 | AI – Machine Learning
8. Antonio Grasso Twitter: @antgrasso | SCORE: 75.2 | Digital Transformation
9. J-Baptiste Lefevre Twitter: @jblefevre60 | SCORE: 75.0 | Digital Transformation
10. Evan Kirstel Twitter: @evankirstel | SCORE: 71.8 | Digital Transformation
11. Spiros Margaris Twitter: @SpirosMargaris | SCORE: 68.5 | Fintech – AI
12. Kirk Borne Twitter: @KirkDBorne | SCORE: 68.3 | AI – Data Science – Big Data
13. Geoffrey Hinton Twitter: @geoffreyhinton | SCORE: 64.9 | AI – Machine Learning
14. KdNuggets Twitter: @kdnuggets | SCORE: 64.5 | AI – Data Science – Big Data
15. Mia Dand Twitter: @MiaD | SCORE: 64.0 |  AI Ethics
16. Sally Eaves Twitter: @sallyeaves | SCORE: 63.2 | Digital Transformation
17. Fei-Fei Li Twitter: @drfeifei | SCORE: 63.1 | AI – Machine Learning
18. Theo Twitter: @psb_dc | SCORE: 63.1 | Fintech – Digital Transformation – Ethics
19. Ronald van Loon Twitter: @Ronald_vanLoon | SCORE: 63.0 | Digital Transformation
20. ipfconline Twitter: @ipfconline1 | SCORE: 62.9 | Digital Transformation – AI
21. Johannes Drooghaag Twit.: @DrJDrooghaag | SCORE: 62.8 | Cyber Security
22. Pinna Pierre Twitter: @pierrepinna | SCORE: 62.5 | AI Ethics – Digital Transformation
23. Andreas Staub Twit.: @andi_staub | SCORE: 62.4 | Fintech – Digital Transformation
24. Jim Marous Twitter: @JimMarous | SCORE: 62.1 | Fintech – Digital Transformation
25. Danielle Guzman Twitter: @guzmand | SCORE: 59.8 | Digital Transformation
26. Shira Rubinoff Twitter:  @Shirastweet | SCORE: 58.6 | Cyber Security
27. Antonio Vieira Santos Twitter: @akwyz | SCORE: 58.5 | Digital Transformation
28. Brett King Twitter: @BrettKing | SCORE: 58.3 | Fintech
29. Data Science Central  Twitter: @analyticbridge | SCORE: 57.8 | AI – Data Science
30. Bob E. Hayes Twitt.: @bobehayes | SCORE: 57.6 | Data Science – Machine Learning
31. Simon Cocking T: @SimonCocking | SCORE: 57.3 | Tech Sustainablity – Environment
32. Nicolas Babin Twitter: @Nicochan33 | SCORE: 57.1 | Digital Transformation – AI
33. Harold Sinnott Twitter: @HaroldSinnott | SCORE: 57.0 | Digital Transformation
34. John Nosta Twitter: @johnnosta | SCORE: 55.8 | Health Tech
35. Linda Grasso Twitter: @LindaGrass0 | SCORE: 55.5 | Digital Transformation
36. Mario Pawlowski Twitter: @PawlowskiMario | SCORE: 55.5 | Digital Transformation
37. Shi4Tech Twitter: @Shi4Tech | SCORE: 55.5 | Digital Transformation – Tech For Good
38. Marcell Vollmer Twitter: @mvollmer1 | SCORE: 55.5 | Digital Transformation
39. Dean of Big Data Twitter: @schmarzo | SCORE: 55.5 | Data Science – Big Data – AI
40. Xavier Gomez  Twitter: @Xbond49 | SCORE: 54.7 | Fintech – Insurtech – AI
41. Tamara McCleary Twitter: @TamaraMcCleary | SCORE: 54.5 | Digital Transformation
42. Helene Li Twitter: @helene_wpli | SCORE: 54.5 | Digital Transformation
43. Dr. Robin Kiera Twitter: @stratorob | SCORE: 54.3 | Fintech – Insurtech
44. Ludmila Morozova-Buss Twitter: @TopCyberNews | SCORE: 53.8 | Cyber Security
45. Brian Ahier Twitter: @ahier | SCORE: 53.8 | Health Tech – Digital Transformation
46. Terence Mills Twitter: @terence_mills | SCORE: 52.3 | AI – Machine Learning
47. Roxana Nasoi (The Hat)Twitter: @roxananasoi | SCORE: 52.0 | Cybersecurity Privacy
48. Maria Luciana Axente Twitter: @maria_axente | SCORE: 51.9 | AI Ethics
49. Marsha Collier Twi.: @MarshaCollier | SCORE: 51.7 | Digital Transformation Marketing
50. Irma Rastegayeva Twitter: @irmaraste | SCORE: 50.6 | Health Tech

And we absolutely wanted to include in this list someone who is for us (and we hope for lot of others) just “Hall Of Fame” there, for her commitment and courage in the fair and so critical fight for a responsible and ethical Artificial Intelligence,  and this person is obviously Timnit Gebru [@timnitGebru]. Thanks Timnit!

  Timnit Gebru

Methodology

We analyzed on stochastic samples the keywords mentioned at the beginning of the article (the fields of digital transformation) on Internet and Twitter between November 2020 and October 2021. This analysis was done using a home made NLP algorithm written by our team, mainly in Prolog (yes, there are still people who use Prolog ;). The main structure of the algorithm is a decision tree and so the AI here is “symbolic” because Prolog is a programming language based on mathematical logic. Thus it allows very simple queries to be made in natural “human” language. This choice was made to obtain a high interpretability of the results obtained by the analysis. Here there are also humans in the loop (our team obviously in this case) to establish weights on the decision trees (for example the weight of tech events – the CES in Las Vegas was weighted at 100/100 due to its importance). Biases, as with any algorithm, are certainly present here but we tried to reduce them to a minimum. Concerning Twitter, we took into account the potential reach and the engagement.

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