Earn your Master's, learn from pioneering Illinois faculty, and gain the data science skills that are transforming business and society. Illinois Computer Science offers a specialized track that includes both MCS degree requirements and data science-focused coursework. This degree is right for anyone who not only wants to learn to extract knowledge and insights from massive data sets, but also wants full command of the computational infrastructure to do so. The Master of Computer Science in Data Science (MCS-DS) leads the MCS degree through a focus on core competencies in machine learning, data mining, data visualization, and cloud computing, It also includes interdisciplinary data science courses, offered in cooperation with the Department of Statistics and the School of Information Science. Data Visualization: Coursework designed to show you how to create effective and understandable data presentations.
Data is fundamental to the success of any organization. Data analytics gives insights into customer behaviour which thusly is utilized to fuel the vital activities of the business. Well-curated and comprehensive customer information can open up a universe of new opportunities dependent on solid numbers. Today, data reaches out past hard numbers. While realizing what number of changes you're getting from your site or having the option to figure the return on investment (ROI) of a marketing effort is as yet significant.
New, no-cost community version helps advance the AI landscape. Note: TDWI's editors carefully choose vendor-issued press releases about new or upgraded products and services. We have edited and/or condensed this release to highlight key features but make no claims as to the accuracy of the vendor's statements. Cnvrg.io, the enterprise data science platform, has released its community version, CORE, amid extended remote work and social distancing to advance ML development and help the data science community leverage its model management and MLOps capabilities at no cost. The data science community has been central to the rapid growth of AI and machine learning innovation.
From working to accelerate insights into Coronavirus, to striving to manage supply chains the midst of social distancing, governments and enterprises are figuring out how to make optimal decisions during times of uncertainty and emotion. Sadly, despite many advances in predictive analytics, AI technologies – unless used within an augmented intelligence framework that combines both machine and human intelligence – often fall short of expectations. Join Genpact's Analytics Business Leader Amaresh Tripathy and guest Dr. Kjell Carlsson from Forrester to discuss how smart organizations are leveraging augmented intelligence to help ensure accuracy and relevancy of decisions and better outcomes. Genpact and Forrester will share examples from Fortune 500 leaders – across banking, consumer goods, retail, life sciences and health care – who are harnessing the power of augmented intelligence during this period of crisis.
Job seekers interact more with advancing tech than they realize as more companies turn to automated tools in talent acquisition. The hiring process has come a long way from the days of paper resumés and cold calls via landline. Online job sites are now staples in talent acquisition, but artificial intelligence (AI) and machine learning are elevating the recruiting and hiring landscape. When asked about the current status of AI and machine learning in hiring, Mark Brandau, principal analyst on Forrester's CIO team said, "All vendors are moving in that direction without question. The power of AI lies in its ability to process high volumes of data at fast speeds, improving efficiency and productivity for organizations. Those same features and benefits can also be applied to the hiring process. "As organizations look to AI and machine learning to enhance their practices, there are two goals in mind," said Lauren Smith, vice president of Gartner's HR practice. "The first is how do we drive more efficiency in the process?
Michael is a hybrid thinker and doer--a byproduct of being a StrengthsFinder "Learner" over time. With 20 years of engineering, design, and product experience, he helps organizations identify market needs, mobilize internal and external resources, and deliver delightful digital customer experiences that align with business goals. Michael earned his BS in Computer Science from New York Institute of Technology and his MBA from the University of Maryland, College Park. He is also a candidate to receive his MS in Applied Analytics from Columbia University.
In coping with an emerging crisis, the need for accurate and actionable information is paramount for effective response – but there has never before been a scenario like the current COVID-19 pandemic. Responders are looking to new technologies including IoT and AI to help tackle this outbreak, but their deployment may have a far-reaching impact on our privacy. How can these technologies contribute to response, both globally and locally – and what privacy concerns could they raise, both now and in the months to follow? The evolution of IoT and AI has grown to the point where these technologies can now be called on to make a real contribution to responding to a crisis manifesting both globally and locally. Globally, modern analytics can learn about the factors of spread that can help analysts identify where actions need to be taken.
Today, the world is all about industry 4.0 and the technologies brought in by it. From Artificial Intelligence (AI) to Big Data Analytics, all technologies are transforming one or the other industries in some ways. AI-powered Cognitive Computing is one such technology that provides high scale automation with ubiquitous connectivity. More so, it is redefining how IoT technology operates. The need for Cognitive computing in the IoT emerges from the significance of information in present-day business.