As technology fundamentally changes how companies operate, employees will need to hone new skills and build new relationships. On May 23, 2017, the MIT Sloan School of Management hosted the 14th annual CIO Symposium: "The CIO Adventure: Now, Next and… Beyond." The one-day event brought senior IT executives together to discuss key technologies, including IoT, AI, blockchain, Big Data, DevOps, cloud computing, and cybersecurity. The main idea was to help prepare these tech leaders for challenges they face, including shepherding ongoing digital transformations, building a digital organization, and managing IT talent. This series highlights insightful sessions from the event.
Though businesses are adopting exponential technologies for automating redundant operations and efficiently utilizing enterprise data, HR (Human Resources) has been one of the most important support functions that was not known for espousing much of artificial intelligence, machine learning, deep learning, reinforcement learning, robotics, virtual reality, augmented reality and other powerful tools until now. The impact of the new wave of change brought about by the fourth industrial revolution has been propelling and profound in HR practice too. For more than a decade, I have been involved in talent acquisition, skill building, corporate training and appraisal processes from technology as well as project management side. Though HR has always been an intriguing art for many, the science of it has been a forerunner in captivating my interest. Earlier when enterprises found their HR databases getting inundated with data, making it next to impossible to derive valuable insights necessary for business decisions, enterprises resorted to analytics.
The program included four workshops, Computational Personality Recognition (Shared Task) (WS-13-01), Social Computing for Workforce 2.0 (WS-13-02), Social Media Visualization 2 (WS-13-03), and When the City Meets the Citizen (WS-13-04). The Workshop on Computational Personality Recognition allowed participants to compare the results of their systems on a common benchmark. Unlike competitive shared tasks, the workshop did not focus just on performance, but rather on discovering which feature sets, resources, and learning techniques are useful in the extraction of personality from text. Organizers provided two gold-standard labeled data sets (released 1 February 2013): essays.zip, Participants were required to use at least one of the data sets provided by the organizers for their experiments; provide the files used for the experiments; and submit a short paper reporting all the information about features, resources, and techniques used in the experiments, and discussing results.
Archambault, Daniel (Swansea University) | Celli, Fabio (University of Trento) | Daly, Elizabeth M. (IBM Research, Ireland) | Erickson, Ingrid (Rutgers University) | Geyer, Werner (IBM TJ Watson Research Center for Social Business) | Halegoua, Germaine (University of Kansas) | Keegan, Brian (Northwestern University) | Millen, David R. (IBM Research) | Schwartz, Raz (Rutgers University) | Shami, N. Sadat (IBM Corporate)
The Workshop Program of the Program of the Seventh International AAAI Conference on Weblogs and Social Media was held July 11, 2013, in Cambridge, Massachusetts. The program included four workshops, Computational Personality Recognition (Shared Task) (WS-13-01), Social Computing for Workforce 2.0 (WS-13-02), Social Media Visualization 2 (WS-13-03), and When the City Meets the Citizen (WS-13-04). This report summarizes the activities of the four workshops.