Gregory Piatetsky-Shapiro, Ph.D. is one of the “Founding Fathers” of Data Science and the President of KDnuggets, which provides consulting in the areas of business analytics, data mining, data science, and knowledge discovery. Previously, he led data mining and consulting groups at GTE Laboratories, Knowledge Stream Partners, and Xchange. He has extensive experience developing CRM, customer attrition, cross-sell, segmentation and other models for some of the leading banks, insurance companies, and telcos. He also worked on data analysis of clinical trial, microarray, and proteomic data for several leading biotech and pharmaceutical companies. Gregory served as an expert witness and provided expert opinions in several cases.
Gregory is also the Editor and Publisher of KDnuggets News, the leading newsletter on data mining and knowledge discovery (published since 1993), and the KDnuggets.com website, (published since 1997) top resource for data mining and analytics news, software, jobs, courses, data, education, and more. From 1994 to 1997, while at GTE Laboratories, he published Knowledge Discovery Nuggets website, an earlier version of KDnuggets.
Gregory is the founder of Knowledge Discovery in Database (KDD) conferences. He organized and chaired the first three Knowledge Discovery in Databases workshops in 1989, 1991, and 1993, and then chaired the KDD Steering Committee until 1998, when he co-founded ACM SIGKDD, the leading professional organization for Knowledge Discovery and Data Mining. He served as Director (1998 – 2005) and was elected SIGKDD Chair (2005-2009 term).
Gregory has over 60 publications, with over 10,000 citations, including 2 best-selling books and several edited collections on topics related to data mining and knowledge discovery.
Gregory was the first recipient of ACM SIGKDD Service Award (2000). He also received IEEE ICDM Outstanding Service Award (2007) for contributions to data mining field and community.
SAS (pronounced “sass”) once stood for “statistical analysis system.” It began at North Carolina State University as a project to analyze agricultural research. Demand for such software capabilities began to grow, and SAS was founded in 1976 to help customers in all sorts of industries – from pharmaceutical companies and banks to academic and governmental entities.
SAS – both the software and the company – thrived throughout the next few decades. Development of the software attained new heights in the industry because it could run across all platforms, using the multivendor architecture for which it is known today. While the scope of the company has spread across the globe, the encouraging and innovative corporate culture has remained the same.
SAS corporate culture is recognised worldwide, having inspire the likes of Google. Personified by the charismatic Jim Goodnight, founder and CEO, SAS is an example for CSR around the world.
SAS provides DSTI with:
SAS software and tools provided to our students.
Lecturers for SAS software and methodology.
Projects from their clients to our students.
Host for our graduation ceremonies, in their beautiful “Domaine de Grégy”.
Couthon Conseil is an Executive Search firm specialized in headhunting and coaching high-potential profiles in Data (Data Science, Big Data Analytics, Open Data, etc.) and Digital (IT, Digital Transformation, web marketing, etc.) areas.
Couthon Conseil’s consultants are all former practitioners and thus lead their missions with both passion and pragmatism to innovative startups, SMEs, large companies and consulting firms, in France and abroad.
Société Générale and DSTI signed a partnership in order to facilitate access to banking services. Through this partnership, foreign students can take advantage of special offers for essential banking services. The aim is to give students peace of mind. More informationhere.
Amazon Web Services (AWS) is an Amazon.com company, created in 2006, which offers its customers an access to infrastructure services in the cloud enabling them to create sophisticated and scalable applications.
Today, AWS offers over fifty services to over one million active customers, both large companies and start-ups, in 190 countries, while being a real engine for innovation in many fields such as the media, finance, e-commerce, etc.
Miguel Alava, Director of Amazon Web Services France, who kindly accepted to patron our MSc Data Scientist Designer 15/17 programme, has a long career in IT, and now leads the AWS team to support French companies in their migration to the cloud. Indeed, Miguel and the AWS team support French companies of all sizes and help them understand how they can benefit from cloud computing to stimulate their business and better serve their own customers. Miguel has an MBA degree from Henley Management College.
AWS provides DSTI with:
Important volumes of Amazon AWS credits for the benefits of our students
Support in preparing our students for AWS Certification
Arts & Métiersand DSTI signed a partnership agreement to meet the challenges of the digital industry (Industry 4.0) in the education of engineers.
A leading technology Grande Ecole in France and a founding member of the Future Industry Alliance, Arts & Métiers has 8 campuses and 3 institutes spread over the French territory. Arts & Métiers’ main mission is to train engineers and executives in industry and services, research training, lifelong training and assistance and expertise in the socio-economic world. Every year, ENSAM trains more than 6,000 students from Baccalaureate to Bac + 8. Through its training, its 14 laboratories and its partnership research, Arts & Métiers aims to accompany French and European industrial innovation.
DSTI’s a founding member of the Artificial Intelligence Interdisciplinary Institute (Institut Interdisciplinaire d’Intelligence Artificielle) – 3IA Côte d’Azur. This project, supported by David Simplot, Director of the INRIA Sophia-Antipolis Méditerranée Center and Innovation Vice-President of Université Côte d’Azur, was confirmed by the Ministry of Higher Education, Research and Innovation on Wednesday, April 24th 2019. This announcement was made at the conclusion of a call for expression of interest launched in July 2018, and two selection phases (November 2018 and April 2019) by a jury of international and independent experts.
As part of the National Programme for Artificial Intelligence announced by President Emmanuel Macron in March 2018 during the “AI for Humanity” day, the State decided to create a network composed of a small number of 3IA institutes. A call for expression of interest was therefore announced in late July 2018 to collect applications. Of the twelve applications, only four were selected: Grenoble, Paris, Toulouse and Côte d’Azur. These four 3IA institutes are labeled for a four-year period and will mobilise a global financial envelope of 75 million euros.
3IA Côte d’Azur will be located at the Sophia Tech Campus, in the heart of Sophia-Antipolis, Europe’s leading science and technology park. Supported by the Université Côte d’Azur, and its many organisations, this project will bring together a hundred researchers around four essential axes: “fundamental AI”, “AI in computational medicine”, “computational biology and bio-inspired AI” and “AI and smart and secure cities”. These world-class specialists will focus on training, research and transfer to businesses.
The 3IA project includes major actors such as INSERM, EUROCOM, Mines ParisTech and SKEMA Business Schools with the support of CEA, CHU de Nice, CNES, Data ScienceTech Institute, INRA and some territorial economic development actors.
IBM has been innovating and actively encouraging the development of new technologies for over a century. And because new ideas are so important, IBM are investing heavily in research and in our future. Thanks to their comprehensive range of hardware, software and services, they are able to offer our customers the entire IT spectrum.
IBM helps data scientists wherever they are in the data science world—whether that is just starting to learn, or maturing a data science team’s capabilities. They do this by offering training, access to open tools, community support and big data analytics expertise.IBM handles the complexity, which allows data scientists to achieve power, scale, and time back to focus on the last mile, and delivering business value.