Organizations are desperate to use advanced technologies to help them gain competitive advantage, get closer to customers and boost the bottom line. In response, colleges and universities are rapidly expanding their course offerings in such topics as artificial intelligence, advanced analytics and machine learning. A prime example is the Massachusetts Institute of Technology, which has announced seven new courses added to its 2018 Short Programs, covering emerging fields and technologies including AI, machine learning, automation, computational design and more. To get a better idea of what is being taught in these programs, Information Management spoke with Lily Fu, director of open enrollment programs at MIT, and Justin Solomon, assistant professor of electrical engineering and computer science at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. Information Management: What are the "short programs," and how do these new classes relate to what the Institute was already offering in these subject areas? Lily Fu: Short Programs are offered through MIT Professional Education.

R. Edward Freeman is a professor of strategy, ethics, and entrepreneurship at the Darden School of Business at the University of Virginia. James R. Freeland is the Sponsors Professor of Business Administration in the technology and operations area at Darden School of Business. None of us know how our technological future will unfold. Just within the last few months, we learned that Amazon Go will be opening more cashier-less, no-salesperson stores and that a burger chain has "employed" a robot to flip its burgers. At the same time, Uber has put on hold its use of self-driving vehicles after a fatal accident in Arizona.

In this tutorial, you will learn how to employ a simulated dataset from Kaggle to build a machine learning model to both predict and explain whether employees will leave their employer or not and the reason(s) why they may do so. The data comprise a wide range of topics which allow to explain employees' leave behavior in relation with A) organizational factors (department); B) employment relational factors (i.e. This tutorial has the objective to inspire you to explore the possibilities of using machine learning for your own research. You will follow several steps to explore the data and build a machine learning model to predict whether an employee will leave or not, and why. You will build this prediction model with the Azure Machine Learning Studio.

Insider threats aren't going away, but the introduction of machine learning and AI are proving to be powerful tools in the fight. See Also: Live Webinar Phishing Like the Bad Guys: Social Engineering's Biggest Success Trzeciak, director of the CERT Insider Threat Center at Carnegie Mellon University, works at the Software Engineering Institute, where his team researches threats trusted insiders pose to the U.S. government, industry and academia.

The Smithsonian said in a news release Tuesday that humanoid Pepper robots have been deployed in six Smithsonian spaces in an experimental program to test how robot technology can enhance visitor experience and educational offerings.

The ACM constitution provides that our Association hold a general election in the even-numbered years for the positions of President, Vice President, Secretary/Treasurer, and Members-at-Large. Biographical information and statements of the candidates appear on the following pages (candidates' names appear in random order). In addition to the election of ACM's officers--President, Vice President, Secretary/Treasurer--two Members-at-Large will be elected to serve on ACM Council. Please refer to the instructions posted at https://www.esc-vote.com/acm2018. To access the secure voting site, you will need to enter your email address (the email address associated with your ACM member record) and your unique PIN provided by Election Services Co. Should you wish to vote by paper ballot please contact Election Services Co. to request a paper copy of the ballot and follow the postal mail ballot procedures: [email protected] or 1-866-720-4357. Please return your ballot in the enclosed envelope, which must be signed by you on the outside in the space provided. The signed ballot envelope may be inserted into a separate envelope for mailing if you prefer this method. All ballots must be received by no later than 16:00 UTC on 24 May 2018. Validation by the Tellers Committee will take place at 14:00 UTC on 29 May 2018. Jack Davidson's research interests include compilers, computer architecture, system software, embedded systems, computer security, and computer science education. He is co-author of two introductory textbooks: C Program Design: An Introduction to Object-Oriented Programming and Java 5.0 Program Design: An Introduction to Programming and Object-oriented Design. Professionally, he has helped organize many conferences across several fields.

It is a huge problem for organizations looking to do meaningful analytics through machine learning. It slows down performance, reduces the ability to do real-time processing and diminishes the role of machine learning. It is the time to rethink. This guide from TIBCO Software Inc. shows how organizations can do this by building an agile machine learning architecture. You will learn why you need to implement new functional areas and services, the importance of a centralized view with secure access to all data, and how such an architecture can help you to orchestrate people, processes, and technologies in real time.

Pay what you want for The 2018 Machine Learning Bundle and unlock the first ebook, focused on test-driven machine learning. If you beat the average price, you get 9 more ebooks and courses. You'll learn about OpenCV, Python, and TensorFlow. You will learn how to build neural networks using Python libraries and tools such as Keras and Theano, how to improve your work by combining the MapReduce framework with Spark, and much more. Note: The Techdirt Deals Store is powered and curated by StackCommerce.

Pay what you want for The 2018 Machine Learning Bundle and unlock the first ebook, focused on test-driven machine learning. If you beat the average price, you get 9 more ebooks and courses. You'll learn about OpenCV, Python, and TensorFlow. You will learn how to build neural networks using Python libraries and tools such as Keras and Theano, how to improve your work by combining the MapReduce framework with Spark, and much more. Note: The Techdirt Deals Store is powered and curated by StackCommerce.

Singapore's Ngee Ann Polytechnic (NP) and London-based Centre for Finance, Technology and Entrepreneurship (CFTE) will jointly launch an industry-led AI in Finance (AIF) online course on June 24, 2018. Through this course, both NP and CFTE hope to support and to nurture talent in Fintech and to boost Fintech development in their respective regions and around the world. The course is accredited by SkillsFuture Singapore and is in the process of obtaining accreditation with The Institute of Banking and Finance Singapore. It aims to update finance professionals and technologists on the AI revolution and create an online community of learners and experts in AI to connect and network for future collaborations. Over 20 finance and technology thought leaders and insiders will come together to share key fundamentals and real-life case studies on how AI is reshaping the finance industry worldwide.