Data Science in Context: Foundations, Challenges, Opportunities.

" The coming era of Artificial Intelligence will not be the era of war, but be the era of deep compassion, non-violence, and love. It is swiftly evolving into the answer to many business challenges due to advancements in automation and machine learning as well as greater research and development in this area. AI and data science are working together to automate a large portion of business production and development, greatly enhancing the speed and effectiveness of user interactions with machines. This essay will examine how organizations are gradually moving toward data science and artificial intelligence. In order to leverage this tech innovation, which encourages automation and efficiency, several of these firms have made significant investments in this industry. Along with the breadth and prospects of AI and machine learning in our daily lives, we will also talk about the effects of data science and AI on business. In 2022, the use of AI and data science will increase dramatically.

University of New Brunswick (UNB) alumnus Dick Carpenter (BA '72) and the McKenna Institute are pleased to announce a gift of $2.5 million to advance the development of artificial intelligence (AI) and data science at UNB. AI and data science have become essential elements in the creation of effective digital products and services. AI depends on large data sets for developing reliable predictive models and data science relies on AI algorithms to extract meaningful features from data sets. This interdependence has resulted in AI and data science becoming increasingly intertwined and dependent upon advances in math, computer science and software engineering. This gift will support the development of interdisciplinary AI and data science research across UNB's faculties and campuses. It was secured through the ambassadorship of UNB alumnus and former New Brunswick premier The Hon. "We tend to think of AI in terms of social media algorithms," said Dr. Paul J. Mazerolle, UNB's president and vice-chancellor.

Data Science and Artificial Intelligence, are the two most important technologies in the world today. While Data Science makes use of Artificial Intelligence in its operations, it does not completely represent AI. In this article, we will understand the concept of Data Science vs Artificial Intelligence. Furthermore, we will discuss how researchers around the world are shaping modern Artificial Intelligence. Data Science and Artificial Intelligence are the most commonly used interchangeably.

In the healthcare industry, data science and artificial intelligence (AI) play a pivotal role in bringing together innovation and patient care and they have the potential to transform how healthcare is delivered. Healthcare data open the road to many discoveries. For example, it provides the foundation to run medical evaluation and to produce more effective drugs more quickly. Data scientists are using powerful predictive analytical tools to detect chronic diseases at an early level and to identify successful interventions quickly. Analytical tools will make possible to identify more quickly the best drug for a certain treatment as well as the most efficient route to produce it.

The Jio Institute said on Tuesday that it has started inviting applications for its one-year full-time post-graduate programmes (PGP) in emerging areas of'Artificial Intelligence and Data Science' and'Digital Media and Marketing Communications'. According to the institute, the PGP in'Artificial Intelligence and Data Science' (AI & DS) aims to instil theoretical capabilities and provide the know-how to create practical solutions for enterprises and society. "The'AI & DS' programme is designed for early-career professionals who aspire to become full-stack data scientists - well-equipped for a variety of roles including AI researchers, data scientists as well as industrial and societal entrepreneurs," it added. As per the institute, applying to the post-graduate programmes is a three-step process involving submission of an online application form along with requisite documents through the'Apply Now' link on the official website www.jioinstitute.edu.in and payment of an application fee of Rs 2,500, appearing for the online Jio Institute Entrance Test (JET). "The test will comprise multiple-choice questions based on quantitative aptitude and verbal ability and a section on writing skills. Alternately, an applicant can also submit a valid'GRE test' score. The shortlisted candidates will be invited for an online interview," the statement said.

The acquisition of good talent is among the greatest challenges faced by HR managers today. As a result, AI hiring technologies are emerging rapidly as a focus area for HR. Most startups are now using AI in addressing the long-standing challenges of candidate identification, engagement, and onboarding to improve the efficiency in the hiring process and reach the goals of ROI. For years, AI has been used by recruiters and agents though it wasn't as sophisticated as it is currently. For instance, it is now fairly popular to search hundreds of CVs with an AI-enabled Applicant Tracking System (ATS) to check for specific phrases and keywords. Therefore, AI is useful to recruiters to reduce the time spent going through applications.

TOULOUSE, France--(BUSINESS WIRE)--The Institut Supérieur de l'Aéronautique et de l'Espace (ISAE-SUPAERO) in Toulouse now offers a professional certification in Artificial Intelligence and Data Science, based on the Specialized Master's Degree AIBT (Artificial Intelligence & Business Transformation. Offered in partnership with TBS Education and IRT Saint-Exupéry, this part-time training program prepares professionals, apprentices and young graduates for this new profession that is in high demand on the job market. Admissions are open until September 15, 2021. This certification will be offered from the beginning of the new academic year to professionals, apprentices aged 25 to 30 and young graduates (Bac 5) wishing to prepare for the job of "Project Manager in Artificial Intelligence and Data Science (MS)". Certified by the RNCP number 35609, this training is entirely taught in English.

The Indian Institute of Technology (IIT), Roorkee will be offering two new Masters of Technology (MTech) programmes in Artificial Intelligence (AI) and Data Science from the academic session 2021-22. The programmes will be launched through the recently established Centre for Artificial Intelligence and Data Science (CAIDS) of the institute. Before applying for the programmes, candidates need to register on COAP 2021 portal at coap.iitd.ac.in. As many as 23 faculty members from 15 different departments of the institute have joined CAIDS as joint faculty of the centre. Candidates must have BE/BTech/Integrated MSc or equivalent degree in any engineering course to be able to apply.

One of the first task of an innovative project is delineating the scope of the project itself or of the product/service to be developed. A wrong scope definition can determine (in the worst case) project failure. A good scope definition become even more relevant in technological intensive innovation projects, nowadays characterized by a highly dynamic multidisciplinary, turbulent and uncertain environment. In these cases, the boundaries of the project are not easily detectable and it is difficult to decide what it is in-scope and out-of-scope. The present work proposes a tool for the scope delineation process, that automatically define an innovative technological field or a new technology. The tool is based on Text Mining algorithm that exploits Elsevier's Scopus abstracts in order to the extract relevant data to define a technological scope. The automatic definition tool is then applied on four case studies: Artificial Intelligence and Data Science. The results show how the tool can provide many crucial information in the definition process of a technological field. In particular for the target technological field (or technology), it provides the definition and other elements related to the target.