Artificial Intelligence (AI) has been redefining society in ways we have never anticipated. Technology is clinging to us in every walk of our lives, right from unlocking our smartphones to our day-to-day activities, online shopping, intelligent car dashboards, autonomous robots and so on. Though the concept of AI was first talked about in the early 1950s, forming a basis for many computer learning and complex decision-making processes, it is only of late, where processing huge amounts of data is required, that this field of technology is picking up pace. What is in the AI basket? AI is not a technology, rather it is a science or field of study.
"Digital transformation since the pandemic has been massive. Telehealth has gone from being a novelty to a necessity. Having said that, we need to be reliant on healthcare institutions to get cured and we need technology to make it better," said Mitali Dutta, head of data science and predictive analysis, group IT information and data management, Philips Innovation Campus, at her session at The Rising 2021 by Analytics India Magazine. She pointed at a rise in chronic diseases and healthcare costs, a scarcity of healthcare professionals in India. According to Dutta, the healthcare industry has to focus on the following four aspects, which she called Quadruple AIM of India's healthcare system: To achieve all the above, India needs artificial intelligence.
Data science is one of the ground-breaking fields for students who have a knack and a keen eye for details in the world of science and technology. Companies are in dire need of aspiring data scientists for proper usage of the continuous flow of real-time data to enhance the business in the competitive world. The future of a company is dependent on data science due to the upsurge of raw data in the tech-savvy era. So, what is the best way to kick-start your career in data science? Analytics Insight has made you a list of seven reputed companies that have vacancies for data science internships.
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India is a breeding ground for many industries. The increase in educated population and the run towards growth has unraveled technology into the country. Today, technology is a core element of growth in the Indian ecosystem. While well-established companies are embracing artificial intelligence for further improvement, Indian start-ups are ballooning like never before. Fortunately, technology-based Indian start-ups landscape has evolved to become the 3rd largest in the world.
Analytics leader SAS continues to innovate by making it easier to access its powerful, cloud-native SAS Viya platform. Recent product developments help customers more efficiently democratize analytics throughout their organizations while seamlessly managing analytic workloads and building SAS into a variety of applications. "Among analytics providers, SAS is a recognized leader for reimagining the way analytics and machine learning are consumed so users realize optimal results that solve business challenges faster with more accuracy," said Ritu Jyoti, Program Vice President of Artificial Intelligence Research at IDC. "This iteration of the SAS Viya platform gives users at all levels of an organization an agile, powerful advanced machine learning engine to help master the complex data that's in cloud environments." Recognizing that so many organizations have struggled with the global pandemic and its effects, SAS CEO and founder Jim Goodnight says SAS Viya can help in the toughest times. "SAS Viya helps organizations see their data, customers and operations in new ways that encourage confident decision making," said Goodnight.
Verdict lists the top five terms tweeted on big data in November 2020 based on data from GlobalData's Influencer Platform. The top tweeted terms are the trending industry discussions happening on Twitter by key individuals (influencers) as tracked by the platform. The massive adoption of artificial intelligence (AI) for driving innovations, top applications of AI, and risks associated with AI were popularly discussed in November. According to an article shared by Dr Omkar Rai, director general of Software Technology Parks of India (STPI), the massive adoption of AI is driving innovations in areas such as health research, data analytics, and robotic assistants, to name a few. Research from UnivDatos Market Insights, a market research firm, finds that AI's contribution to the healthcare sector is expected to grow at a compounded annual growth rate (CAGR) of 41% between 2018 and 2025 and will be worth $26.6bn by 2025.
Apart from the unfortunate pandemic that struck the year 2020, it saw a lot of newer developments in the tech domain. While we covered most of these developments in the form of videos, we also introduced newer segments such as the Simulated Reality, a podcast feature by AIM and videos with renowned data scientists covering their journey in detail. This article lists 15 most popular and most viewed videos that you could binge on. Find our YouTube Channel here. One of the most viewed videos of the year; it covers the most popular technology of the year -- GPT-3.
While COVID-19 pandemic has had a huge impact on people, function and process in innumerable ways, it has brought about an acceleration in the adoption of digital transformation across business and social sectors. The industry needs to rapidly ramp up on skills required to manage this rapid digitalisation. One of these critical skills is Data Engineering – in fact the DICE report of 2020 has labelled Data Engineering (DE) as the fastest-growing tech job with a 45% year-on-year growth. The pioneers of formal Business Analytics/ Data Science education in India, Praxis Business School, are launching a 9-month full-time post-graduate program in Data Engineering to address the business need for people with these skills. This course by Praxis is supported by industry giants Genpact and LatentView, who are providing industry inputs and know-how to strengthen the program.
India is one of the leading markets for analytics and data science services, and various data science vendors have seen significant growth over the last few years, as organisations across verticals are investing billions of dollars in data science and analytics to optimise their processes. In fact, despite the pandemic and the resulting quarter-long slowdown, the data science functions across organisations have not been significantly impacted, suggesting that data science and analytics are a mainstay of business processes and value generation. The pre-COVID numbers suggest that as of March 2020, the analytics function in India earned consolidated revenues of $35.9 Bn, a 19.5% growth in revenue over last year. In the post-COVID world, companies are veering towards digital transformation to ensure business continuity – and the analytics and data science functions are playing a crucial role in this journey. As companies are looking to establish AI and Data Science capabilities, the market is further maturing, driving the need for data science vendors/service providers to facilitate the booming market. Over the last few years, multiple vendors with unique capabilities in data science, have not just grown from small operations but also matured in terms of capabilities.