Enterprise Applications


Top CRM trends and Statistics you should know in 2020

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CRM trends are like ocean winds – the businesses that stay aware of the direction of the breeze can maneuver well and sail towards achievement. Every year more and more industries are recognizing the profits of CRM. With a busy space valued at $120 billion and with around 381 CRM platforms in the market, there is a vast range of tools to choose from. According to statistics, 13% of firms investing in this field as a top sales priority for 2019 while another 23% were planning on improving existing sales technologies. As 2020 has already started, some trends will shake up the industry as we know it.


Free Online Course: Fundamentals of Machine Learning from Complexity Explorer Class Central

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Machine Learning is a fast growing, rapidly advancing field that touches nearly everyone's lives. There has recently been an explosion of successful machine learning applications - in everything from voice recognition to text analysis to deeper insights for researchers. While common and frequently talked about, most people have only a vague concept of how machine learning actually works. In this tutorial, Dr. Artemy Kolchinsky and Dr. Brendan Tracey outline exactly what it is that makes machine learning so special in an accessible way. The principles of training and generalization in machine learning are explained with ample metaphors and visual intuitions, an extended analysis of machine learning in games provides a thorough example, and a closer look at the deep neural nets that are the core of successful machine learning.


Finland is challenging the entire world to understand AI by offering a completely free online course - initiative got 1 % of the Finnish population to study the basics University of Helsinki

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Finnish technology firm Reaktor and the University of Helsinki joined forces to educate people on AI for free. The institutions combined to develop an online course to teach the basics of AI to anyone interested in the technology. Reaktor and the University also challenged organizations to train their staff in AI, so far over 200 organisations have pledged to do so – including banks, telecoms, and healthcare organizations. Almost 90 000 students have signed up for the course since it began in May. While popular with Finns, the course is already seeing strong demand globally, attracting students from over 80 different countries.


Python is one of the most popular languages inside India

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Python has massive applications in Artificial Intelligence (AI) applications, data science, Machine Learning (ML) and data analytics, US-based online education company according to Coursera. The top 10 list of courses, such as "Programming for Everybody," Python Data Structures," Python for Data Science and AI," has been dominated by python. Python has a lot of advantages. One of them is that it is extremely easy getting started with. It offers a lot of flexibility.


How AI in ERP will create the finance team of the future

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Finance and accounting professionals are under constant pressure from the C-suite to elevate the strategic relevance of their function. At the same time, they are under day-to-day pressure to help their organizations stay ahead of audit and compliance requirements, report on financial results, and manage ongoing accounting activities. These activities are all critical for business growth. As enterprise resource planning is meant to be both the primary source of truth and technology used to perform these tasks, it can play a critical role in improving the ease and accuracy with which they are completed. Having the right ERP technology can make or break a finance team's ability to focus on the strategic instead of the tactical.


How global tech companies can champion ethical AI

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The Champ has historically been a functional role at Microsoft. Champs have full-time jobs and serve as Champs due to domain interest and/or leadership in a given area. Their backgrounds are varied and multi-faceted – especially important in a space spanning technology, business, social science and law. For example, data scientists and engineers who understand the discipline and can speak the language of the workgroup could serve as Champs in a technical team, but with a working knowledge of social science to bring a much-needed perspective on potential societal impact. In a sales team, however, customer-facing roles deal with very different issues, and the Champ serves as an advisor on potential sensitive uses in various requests for proposal we receive from prospective customers.


Applied Data Science with Python Coursera

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This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. The issue of dimensionality of data will be discussed, and the task of clustering data, as well as evaluating those clusters, will be tackled. Supervised approaches for creating predictive models will be described, and learners will be able to apply the scikit learn predictive modelling methods while understanding process issues related to data generalizability (e.g. The course will end with a look at more advanced techniques, such as building ensembles, and practical limitations of predictive models.


Machine learning and artificial intelligence

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That many aspects related to sales have changed drastically in a few years is an indisputable fact. Technological changes have led us to a very different panorama for commercial relationships. It is worth noting the predominant role that Machine Learning and Artificial Intelligence solutions have acquired in this new situation. You only have to look at the figures to be aware of the advantages that the inclusion of these technologies brings to the sales teams. According to Harvard Business Review, the implementation of Artificial Intelligence has meant 50% increases in leads, costs have been reduced by 40-60% and the time spent in customer calls has decreased by 60-70%.


Python most popular programming language In India

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New Delhi: When it comes to programming languages in India, Python is most popular among the students for its role in Artificial Intelligence (AI) applications, data science, Machine Learning (ML) and data analytics, US-based online education company Coursera has said. Python dominated the top 10 list with courses like'Programming for Everybody', 'Python Data Structures', 'Python for Data Science and AI' and more. Python is also easy to get started with, offers a lot of flexibility and is versatile. "Its open source nature makes it easy to learn. A large number libraries for tasks like web development, text processing, calculations add to its appeal," the repor said.


Python most popular programming language in India - OrissaPOST

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New Delhi: When it comes to programming languages in India, Python is most popular among the students for its role in Artificial Intelligence (AI) applications, data science, Machine Learning (ML) and data analytics, US-based online education company Coursera has said. Python dominated the top 10 list with courses like'Programming for Everybody', 'Python Data Structures', 'Python for Data Science and AI' and more. Python is also easy to get started with, offers a lot of flexibility and is versatile. "Its open-source nature makes it easy to learn. A large number libraries for tasks like web development, text processing, calculations add to its appeal," the report said.