Data science is a cutting-edge technology that is being adopted by a wide range of sectors and enterprises. Companies are seeking data scientists who can manage the ever-increasing amount of data generated by their operations. Data scientists assist companies in making the most of their business data. In the business, there is a scarcity of experienced data scientists who are up to date on the newest techniques and technology. A reputable online programme may be used to learn data science from the ground up.
One thing that stands out about Fintech is its global impact- it's not just limited to India but has spread across geographies like China, Europe, North America, etc., which makes it one of the most lucrative industries today! Globally, the adoption of Fintech grew at a rate of 64% in 2019, and in developing countries, the growth rate stands at 87%. Funding from diverse stakeholders contributes to the growth of digitized payments. In addition, the rise of digital commerce and innovation using AI, blockchain, IoT, real-time payments, and the introduction of POS devices have contributed to growth. Since 80% of banking activities at top banks in India run on digital channels, the scope for remittance programs is immense.
New Delhi [India], October 11 (ANI/ATK): In this technological era, new technologies are being introduced in the market now and then. Businesses are no more using the traditional marketing methods to generate ROI (Return on Investment). Businesses are using new-age technologies like AI (Artificial Intelligence) and ML (Machine Learning) for better marketing and promotion. Many young marketers are looking for a certification in AI & ML for securing better job roles in the marketing industry. The marketing landscape is continuously changing, and businesses need a sustainable solution. Read on to know how AI & ML are disrupting the traditional marketing landscape.
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The second was the propensity of the computing industry toward more lucrative assignments in the service sector. Both these factors are changing, not least because leading international software companies have set up research and development centers in the country. Computer science education established itself in India in the early 1980s when the Indian Institutes of Technology (IITs) set up computer science departments and started offering undergraduate programs in the discipline. Research in artificial intelligence took off soon afterward when the government of India launched the Knowledge Based Computing Systems (KBCS) program in conjunction with the United Nations Development Program (Saint-Dizier 1991). A number of nodal centers were set up to focus on different areas of research including expert systems (IIT Madras), speech processing (Tata Institue of Fundamental Research), parallel processing (Indian Institute for Science), image processing (Indian Statistical Institute), and natural language processing (Center for Development of Advanced Computing).