Do you know why I got into SEO? Not many people know this, but I grew up in middle-class America, and I wanted a better life for me and my parents. When I was 16 years old, I worked at a theme park called Knotts Berry Farm where I picked up trash, cleaned restrooms, and swept up vomit every single day. I didn't mind it because that's life and I needed the money. At 16, I realized I was too young to get a high paying job, so I did the next best thing… I started a business.
Alexis Perrier is a data science consultant with a background in signal processing and stochastic algorithms. A former Parisian, Alexis is now actively involved in the D.C. data science community as an instructor, blogger, and presenter. Alexis is also an avid jazz and classical music fan, a book lover and proud owner of a real chalk blackboard on which he regularly tries to share his fascination with mathematical equations with his 3 children. He holds a Master in Mathematics from Université Pierre et Marie Curie Paris VI, a Ph.D. in Signal Processing from Telecom ParisTech and currently resides in Washington D.C. Giuseppe Ciaburro holds a PhD in environmental technical physics and two master's degrees. His research was focused on machine learning applications in the study of the urban sound environments.
The graph represents a network of 2,185 Twitter users whose tweets in the requested range contained "#cloudcomputing", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 17 February 2020 at 14:42 UTC. The requested start date was Monday, 17 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 5,000. The tweets in the network were tweeted over the 2-day, 0-hour, 29-minute period from Thursday, 13 February 2020 at 12:00 UTC to Saturday, 15 February 2020 at 12:30 UTC.
According to research by WIRED and Element AI, a mere 12% of leading machine learning researchers are female. This gap also exists in industry. According to recent research by the World Economic Forum and LinkedIn, only 22% of jobs in artificial intelligence are held by women, with even fewer holding senior roles. The gap appears even more stark at the "FANG" companies--according to the AI Now Institute just 15% of AI research staff at Facebook and 10% at Google are women. The first step to bridge the gender gap in AI is awareness.
The EU's digital and competition chief has said that automated facial recognition breaches GDPR, as the technology fails to meet the regulation's requirement for consent. Margrethe Vestager, the European Commission's executive vice president for digital affairs, told reporters that "as it stands right now, GDPR would say'don't use it', because you cannot get consent," EURACTIV revealed today. GDPR classes information on a person's facial features as biometric data, which is labeled as "sensitive personal data." The use of such data is highly restricted, and typically requires consent from the subject -- unless the processing meets a range of exceptional circumstances. These exemptions include it being necessary for public security.
We see the growth of people analytics at first-hand at Insight222, where we are now working with over 60 global organisations to help them put people analytics at the centre of business. In tandem we have also created a digital learning academy with myHRfuture to upskill HR in digital and analytics. For the last six years I have collated and published a collection of the'best' articles of the preceding 12 months – see 2014, 2015, 2016 2017 and 2018, and following are my choices for the 50 best articles of 2019. Those who have read the previous annual collections may note that the number of articles that make the cut has steadily risen. This is partly down to my inability to prune down to 30 or 20 - although it was hard enough to get it down to 50! Mainly though this recognises the increased number, variety and quality of people analytics and data-driven HR material now being published, which is another indicator of progress in the field. I hope that the articles selected will act as a venerable resource library for those working, researching or interested in the people analytics space. That is certainly the intention. I have arranged the 50 articles into twelve topics: i) Driving business value, ii) the future of work, iii) the future of the HR function, iv) ethics and trust, v) employee experience, vi) strategic workforce planning, vii) ONA, viii) diversity and inclusion, ix) organisational culture, perspectives and case studies from people analytics leaders, x) retention, xi) assessment and xii) getting started, as well as highlighting a few of my own articles from 2019 at the end. I hope you enjoy the articles selected, and if you do, please subscribe to my weekly Digital HR Leaders newsletter. Ultimately, people analytics should be about creating value – for leaders, for managers and for the workforce. So, where better to start than with seven articles that collectively provide insights on how to create value and/or give examples of where organisations have created value from people analytics.
"Top 10 Tech Trends for 2020, and Beyond" was one of the most packed plenary sessions at the OurCrowd Global Investor Summit, held February 13 at the Jerusalem International Convention Center. The largest tech event in the Middle East and the biggest business event in Israel's history, this year's summit attracted 23,000 registrants from 183 countries, including 22 Arab or Muslim nations. Over the course of the day, 231 Israeli and international experts spoke at 34 sessions. OurCrowd, the largest global venture investing platform, has been ranked "Most active venture investor in Israel" by Pitchbook for the past two years. At the opening session, OurCrowd CEO Jon Medved told delegates he believes that "Together we can make this next decade a truly Roaring Twenties."
Facebook AI Research (FAIR) today unveiled PyTorch3D, a library that enables researchers and developers to combine deep learning and 3D objects. As part of the release, Facebook is also open-sourcing Mesh R-CNN, a model introduced last year capable of rendering 3D objects from 2D shapes in images of interior spaces. PyTorch3D was inspired by Mesh R-CNN and recent 3D work by Facebook AI Research, FAIR engineer Nikhila Ravi said. Working in 3D is important for rendering 3D objects or scenes that appear in mixed reality or virtual reality. It can also be used to tackle AI challenges like robotic grasping or helping autonomous vehicles understand the position of nearby objects.
LONDON – Facebook CEO Mark Zuckerberg met top European Union officials on a visit to Brussels on Monday, days before the bloc is expected to release new proposals on regulating artificial intelligence. The billionaire social network founder is the latest U.S. tech executive to make the trip to the headquarters of the EU, which is becoming an increasingly important player in technology regulation. Zuckerberg's visit came as the company warned that potential regulation risked stifling innovation. Zuckerberg met Margrethe Vestager, the EU's powerful executive vice president in charge of making Europe "fit for the digital age." He also had audiences with Thierry Breton, commissioner for the internal market, and Vera Jourova, vice president for values and transparency.
A former Amazon Executive revealed he switches off his Alexa smart speaker whenever he wants a'private moment' as he doesn't want it listening in. Robert Frederick, a former manager at Amazon Web Services, told BBC Panorama he always turns it off during personal and particularly sensitive conversations. Last year Amazon was forced to admit that some conversations recorded by virtual assistant Alexa were listened to and transcribed by humans. Amazon says human staff listen to less than on per cent of conversations to check for accuracy and the information is made anonymous before they see it. Amazon's Alexa is being placed in an increasing number of devices including televisions, smart speakers and screens The investigative journalism programme is exploring Amazon's rise from online bookstore to tech giant as well as the way it collects data from its customers.