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.
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.
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.
At H2O.ai, we believe that our strength is rooted in our open source background and machine learning components that are effectively an industry standard, with many other platforms integrating them. We believe we have built on the strength of our open source offering with an innovative Automatic Machine Learning platform with rich explainability functionality, H2O Driverless AI. As the vendor with the strongest completeness of vision of the 16 vendors evaluated in Gartner's 2020 Magic Quadrant for Data Science and Machine Learning Platforms, H2O.ai continues to drive the AI industry forward and accelerate AI adoption in the enterprise with its innovation, roadmap and vision. February 2020 Gartner Magic Quadrant for Data Science and Machine Learning Platforms, Peter Krensky, Pieter den Hamer, Erick Brethenoux, Jim Hare, Carlie Idoine, Alexander Linden, Svetlana Sicular, Farhan Choudhary, 11 February 2020 Disclaimer: This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from H2O.ai.
The social media giant Facebook has always been at the forefront of AI advancement. Amid all the controversies and roadblocks in its strive to attain AI leadership, the company is moving forward with innovation and tech developments. These developments are a major result of its acquisitions; small but significant. Facebook's M&A activities are proving to be quite beneficial in its AI journey. Recently, the company acquired Scape Technologies which is a London-based computer vision startup working on location accuracy beyond the capabilities of GPS.
AIops (artificial intelligence for IT operations) is one of those cool buzzwords that is actually part of another buzzword: cloudops (cloud operations), which is a part of the mother of all buzzwords: cloud computing. The concept of AIops and the tool category of AIops are really the maturation of operational tools in general. Most of those in the traditional ops tools space, at least in the past few years, bolted an AI engine onto a tool and called it AIops. Some purpose-built AIops tool startups out there are leveraging AI from the jump. All are worth a look as you select AIops tools; however, there are no mainstream brands.
Bindu Reddy wants to give more people access to artificial intelligence. The former Amazon Web Services and Google engineer, wants small and medium sized companies to be able to use AI in the same way that large companies do, and make sure big tech companies aren't dominating the sector. Reddy previously started the AI verticals division at AWS, creating AI for particular domains or use-cases. Earlier in her career she was the Head of Product for Google social apps, where she helped build Google, Blogger Google Video, Google Docs and Google Sites. She said during her time at Google and Amazon Web Services she noticed that big companies had a gap between the research being done in AI and the products being developed.