Bøger af Ajit Kumar Roy

Presently, scientists, engineers, educators, citizens and decision-makers have unprecedented amounts and types of data available to them that are generated from many sources, including scientific instruments, medical devices, telescopes, microscopes, satellites; digitally-authored media, text, images, audio, and emails; streaming data from weblogs, videos, financial & commercial transactions. Now we are facing challenges in the management of data and knowledge; and data-enabled discovery processes. Therefore, attention is given on the computational, mathematical, and statistical methods for data analysis; and visualization techniques for "making sense" of the data. Data Science is an applied activity and data scientists serve the needs and solve the problems of data users. Data Science is a flourishing industry. Countries and companies around the world are continuously experiencing a rush in the amount of data collected. They are determined to hire experts who can work on their data and improve their lives. Such experts are known by many names and most popular is 'Data Scientist'. Thomas Davenport and D.J. Patil brought the data scientist into the national spotlight terming 'Data Scientist: The Sexiest Job of the 21st Century'. Data Scientists are in high demand. There is simply not enough talent to fill the jobs. The demand for Analytics skill is going up steadily globally but there is a huge deficit on the supply side. In spite of Big Data Analytics being a 'Hot' job, there are still a large number of unfilled jobs across the globe due to shortage of required skill. A new study of LinkedIn profiles by RJMetrics has found that the number of data scientists has doubled over the last 4 years . This reflects the increasing demand for sophisticated data analysis skills, combining computer programming with statistics, and the growth in the popularity of the term "data science". A McKinsey Global Institute study states that the US will face a shortage of about 190,000 data scientists and 1.5 million managers and analysts who can understand and make decisions using Big Data by 2018.India currently has the acute scarcity of data analytics talent and demand for talent is expected to be on the higher side as more global organizations are outsourcing their work. According to expert opinion to become a data scientist, you need is to have enough baseline knowledge and experience, and the skill to constantly adapt and learn. Boot camps are the perfect medium for making the transition. Data science is big landscape and self-learning is the necessary skill if anyone wants to become a good data scientist. MOOCs had been Major source of treasure for the data scientist. You can search through this exhaustive list of courses duly reviewed by experts and documented in the book entitled. 'Data Science-A Career Option for 21st Century'.The book is broadly compiled with the following seven chapters and within each chapter there are many points to get the answers of the key questions that are likely to come from the aspiring Data Scientists. Besides, the book contains web addresses, links, tutorials, video, blog posts that will guide one to the right direction to learn and equip one to become a successful Data Scientist. The book is an ideal read for budding data scientists who are just getting started in the field. This book will give you the knowledge and insights you need to hit the ground running in this fast-growing field. This is an essential & perfect book for the aspiring data science job seeking candidates.

Each day, our society creates 2.5 quintillion bytes of data. With this flood of data the need to unlock actionable value becomes more acute, rapidly increasing demand for Big Data skills and qualified data scientists. Data Science and Big Data Analytics is about harnessing the power of data for new insights. A data scientist is somebody who is inquisitive, who can stare at data and spot trends. Big Data brings new opportunities to modern society and challenges to data scientists. According to the optimists, big data in combination with the Internet of Things (IoT), a world where the vast majority of gadgets, machines, and humans are connected to the internet and to each other promises a future where all important decisions about business, life, and society would be taken purely and happily on the basis of data. Prime Minister Narendra Modi has launched an ambitious initiative to digitise India by making Internet access available to over two lakh villages by 2019, promoting e-governance, e-banking, e. education and e-health, and transforming India into a knowledge economy. Covering issues ranging from cyber security and promoting startups to digital highways and "Design in India," Government will invest Rs4.5 lakh crores in the Digital India program which will generate 18 lakh jobs."Reliance Industries (RIL) Chairman Mukesh Ambani said that he will invest Rs2.5 lakh crores which will create employment for over five lakh people. Cyrus Mistry said that Tata Group will hire 60,000 IT professionals, this year. K.M. Birla said that the Aditya Birla Group would invest Rs44,500 crores in next five years in the infra and digital space. That is why Data Scientists are in high demand. The scarcity of data analytics talent is acute and demand for talent is expected to be on the higher because of the present digital India initiative besides many global organizations are outsourcing their work at India. There is not enough talent to fill the jobs. Because the sexiest job of 21th century requires a mixture of broad, multidisciplinary skills ranging from an intersection of mathematics, statistics, computer science, communication and business. Bangalore becoming the data science hub of India both from new startup clusters as well as established analytics firm opening their shop in Bangalore. The book covers breadth of activities, methods and tools that Data Scientists use. It will guide how to become a successful data scientists coming from a number of different disciplines: biostatistics, econometrics, engineering, computer science, physics, applied mathematics, statistics, machine learning, and other interrelated disciplines.

The book entitled"Advancement and Prospect of Big Data Analytics, Artificial Intelligence, Machine Learning and Deep Learning" is compiled aiming to keep abreast with the latest technological trends for future generation of job seekers. The book with the following chapters is likely to give present scenario technological advancement as well as outlook to be adopted by stakeholders. Chapter 1: Big Data Trend Chapter2: Machine Learning Chapter-3: Artificial Intelligence Chapter-4: Deep Learning Chapter-5: Difference between Artificial Intelligence, Machine Learning, and Deep Learning? With the above chapters, the book may clarify and answer many questions like Why Is AI Taking off Now? What are the Deep Learning Tools that Drive AI Advancement? How deep learning is a new software model that needs a new computing model? Why AI researchers have adopted GPU-accelerated computing? How AI, Machine Learning and Deep Learning are close but not the same? How Personalized medicine will soon become a reality? Why Data is abundant and cheap but knowledge is scarce and expensive? Why data is the sword of the 21st century? Why there is a high demand for Data scientists? A thorough reading of the book is expected to enrich understanding about AI, Machine, Deep learning and Big Data Analytics for skill development to equip oneself for 21st century jobs

The first volume of the book entitled 'Big Data and Data Science Initiative in India-Upcoming Job Opportunities' was published in July 2016.Since then a lot of events have taken place India like Demonetisation, Cashless economy, GST bill etc. besides smart city project, make in India, digital healthcare and New India Vision. When Prime Minister Narendra Modi made the demonetisation announcement on the night of 8 November, it started an administrative chain reaction focused on squeezing money launderers, promoting less-cash economy and of course remonetising the banking system. The CAG's Centre for Data Management and Analytics (CDMA) is going to play a catalytic role to synthesise and integrate relevant data into auditing process. FIU and the RBI will be saddled with heaps of complex transaction data from the post-demonetisation months. Indian financial system is also generating huge data with several players' foreign banks, public sector banks, private banks, cooperative banks, rural banks, credit cooperatives, and the specialized non-banking financial corporations. Presently the Income Tax department of GOI, will reportedly use big data analytics to comb through personal bank deposits money holders. As per reports, the analytics tool was used in the past for corporate tax reporting. Now, for the first time it will be used on a massive scale to rule out any in discrepancies found in personal taxes and records. India aims to create a cleaner, more transparent economy via digitalization that will lead to an improved climate for foreign investment, boost economic growth, and ultimately propel the country to the next chapter of its emerging markets story. India by making Internet access available to over two lakh villages by 2019, promoting e-governance, e-banking, e. education and e-health, and transforming India into a knowledge economy. Digital India is a visionary initiative of the GOI to ensure that government services are made available to citizens electronically. Universal Banking Initiative in India in focusing on simplifying the customer experience. Government will invest Rs4.5 lakh crores in the Digital India program which will generate 18 lakh jobs.The government have huge complex transaction data from the post-demonetisation months. Now it is time to leverage data analytics capabilities to track down those who may have tried to game the banking system. Tools such as Big Data can be effective in collecting information about financial misappropriation. The data provided by banks can be analyzed to find unusual activity in currency flow, whether at an individual or a regional level," Global consulting firm McKinsey has said digital finance is a $700 billion opportunity for India, offering 11.8 per cent boost to GDP by 2025, benefitting millions of people. Keeping in view the major initiative by various departments of Govt. of India and private sectors in applying Bigdata and data science indifferent aspects of business, banking, healthcare, economy the book entitled 'Big Data and Data Science Initiative in India-Upcoming Job Opportunities(Vol.-2) is compiled. The book highlights the latest development in the initiative of GOI & private sectors and tools that Data Scientists use through the following chapters Ch-1: Understanding Bigdata and Data Science Ch-2: Trends in Big Data Analytics Ch-3: Bigdata and Data Science Application by Govt. of India- Ch-4: Data Science Application by Private Sectors Ch-5: Bigdata Applied in Agriculture Ch-6: Digital Transformation Initiative in India The compiled book will be useful for researchers of social, political, economic, legal, and business and marketing fields, besides engineering or other sciences engaged in Data-intensive applications, challenges, techniques and technologies.

Big Data is a hot topic and getting a lot of media and business attention. Big data is high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making. Big data finds insights from complex, noisy, heterogeneous, longitudinal, and voluminous data. and aims to answer questions that were previously unanswered. Big data exists in a wide variety of data-intensive areas such as atmospheric science, genome research, astronomical studies, and network traffic monitor. Collecting, analyzing and understanding Big Data is becoming a differentiated strategy today but it will become a fact of life tomorrow. This book, Applied Big Data Analytics is unique among those big-data books because of its great depth and technical approach. It consists of four themes: i)Basics of big data analytics, ii)Tools, techniques and software for analytics iii) Big data analytics in health care sector iv) Big data analytics in industries, bioinformatics and life sciences. With 26 chapters spread over four sections the book demonstrates further the emerging issues and approaches in various areas of Big Data application The aim of this book is to be accessible to researchers, graduate students, and to application-driven practitioners who work in data science and related fields. It is a timely and urgently needed publication, and it provides the most up-to-date, crucial, and practical infor¬mation for big data management, technologies, and applications. Contributed by experts, it is a must-read book for statisticians, data analysts, IT students, researchers, scholars, and workers with big data in mind. Specialty of this book is that it covers important issues of big data from fundamental knowledge to application in various sectors. With an emphasis on real-life implementation of Big Data technologies, this book will provide bold vision from leading innovators across the data-driven spectrum. The latest tools and trends may help gaining fresh insights and strategic momentum to grow and respond to the analytical requirements.

Presently, scientists, engineers, educators, citizens and decision-makers have unprecedented amounts and types of data available to them. Data generates from many sources, including scientific instruments, medical devices, telescopes, microscopes, satellites; digitally-authored media, text, images, audio, and emails; streaming data from weblogs, videos, financial & commercial transactions. Now we are facing challenges in the management of data and knowledge; and data-enabled discovery processes. Therefore, attention is given on the computational, mathematical, and statistical methods for data analysis; and visualization techniques for "making sense" of the data. Data Science is an applied activity and data scientists serve the needs and solve the problems of data users. Data Science is a flourishing industry. Countries and companies around the world are continuously experiencing a rush in the amount of data collected. They are determined to hire experts who can work on their data and improve their lives. Such experts are known by many names and most popular is 'Data Scientist'. Thomas Davenport and D.J. Patil brought the data scientist into the national spotlight terming 'Data Scientist: The Sexiest Job of the 21st Century'. Data Scientists are in high demand. There is simply not enough talent to fill the jobs. According to expert opinion to become a data scientist, you need is to have enough baseline knowledge and experience, and the skill to constantly adapt and learn. Boot camps are the perfect medium for making the transition. Data science is big landscape and self-learning is the necessary skill if anyone wants to become a good data scientist. MOOCs had been Major source of treasure for the data scientist. You can search through this exhaustive list of courses duly reviewed by experts and documented in the book entitled. 'Data Science-A Career Option for 21st Century'.The book is broadly compiled with the following seven chapters and within each chapter there are many points to get the answers of the key questions that are likely to come from the aspiring Data Scientists. Chapter 1: Basic Concept about Data and Data Science Chapter 2: Comparison among Data Scientist and Other Analytic Disciplines Chapter 3: Skill Requirement for Data Scientist's Job Chapter 4: Data Science Courses Offered by Educational Institutions Chapter 5: Big Data Trends, Predictions and Growth in the Next 12 Months - 2016 Chapter 6: Modeling Related to Data Science Chapter 7: Career Outlook for Data Science Professionals Besides, the book contains web addresses, links, tutorials, video, blog posts that will guide one to the right direction to learn and equip oneself to become a successful Data Scientist. The book is an ideal read for budding data scientists who are just getting started in the field. This book will give you the knowledge and insights you need to hit the ground running in this fast-growing field. This is an essential & Perfect for the aspiring data scientists. Every data science job seeking candidate should understand the fundamentals presented in this book. The demand for Analytics skill is going up steadily globally but there is a huge deficit on the supply side. In spite of Big Data Analytics being a 'Hot' job, there are still a large number of unfilled jobs across the globe due to shortage of required skill.This reflects the increasing demand for sophisticated data analysis skills, combining computer programming with statistics, and the growth in the popularity of the term "data science". A McKinsey Global Institute study states that the US will face a shortage of about 190,000 data scientists and 1.5 million managers and analysts who can understand and make decisions using Big Data by 2018.India currently has the acute scarcity of data analytics talent and demand for talent is expected to be on the higher side as more global organizations are outsourcing their work.

The impact of data abundance extends well beyond business ensuring funding for social programs. Big Data has the potential to be "humanity's dashboard," an intelligent tool that can help combat poverty, crime and pollution. All these burning issues are covered in the following chapters of the book entitled, 'Applied Big Data Analytics: Evolution, Platforms & Tools, Use cases, Benefits, Impact and Paradox' 1History of Big Datahttps: //ssl.images-createspace.com/tsw/img/ajax/choosernav-right_off.gif 2Definitions & Surprising Statistics about Big Data 4Open Source Big Data Analytical Platforms and Tools 5Use Cases & Advantages & Benefits of Big Data 6Impact of Big Data on Business, Economy and Society 7Impact of Big data on Healthcare 8Transforming Social Welfare with Analytics 9The Future of Big Data & Risks, Challenges and Paradox A recent Accenture and GE study found that almost 90 percent of companies list Big Data analytics as one of their top priorities, and believe that Big Data analytics will shift the competitive landscape within the next three years. The book provides an opportunity for scholars and researchers in big data and health science, business intelligence, social scientists in developments to update their knowledge on the abovementioned issues. The chapters presented is based on an extensive research with the literature from across humanities, social sciences and the sciences and from popular culture, journalism, and industry publications, and based on my lifelong experience of working earlier in Analytics and now in Big Data Analytics as a Statistician.

The amount of data currently generated by the various activities of the society has never been so big, and is being generated in an ever increasing speed. This trend is being seen by industries as a way of obtaining advantage over their competitors if one business is able to make sense of the information contained in the data reasonably quicker, it will be able to get more costumers, increase the revenue per customer, optimise its operation, and reduce its costs. Big Data analytics is still a challenging and time demanding task that requires expensive software, large computational infrastructure, and effort. Data is the new basis of competitive advantage. Enterprises that use data and sophisticated analytics turn insight into innovation, creating efficient new business processes, informing strategic decision making and outpacing their peers on a variety of fronts. Successful data scientists come from a number of different disciplines: biostatistics, econometrics, engineering, computer science, physics, applied mathematics, statistics, machine learning, and other interrelated disciplines. Experience of applying the scientific method to many disciplines and areas of research will prove fruitful in the field of data science. This book is a very basic introduction to data science. It is designed particularly for the beginners having the aptitude to learn and pursue careers in the emerging Data Science. The main emphasis of this book to help students think about the world in data science terms and learn taking advantage of free online web resources. While some elementary data science skills will be appraised, the emphasis is on skill development through self learning. Because skills are a must for data science. Data science, as practiced today, arises out of the "big data/cloud computing" world and complexity science. This means data science is an advanced discipline, requiring proficiency in parallel processing, map-reduce, computing, petabyte-sized noSQL databases, machine learning, advanced statistics and complexity science. I believe that data science is as much about mindset as it is about the skillful use of tools. Thus I want the students early in their careers to start thinking holistically about data science and related tools and techniques. There are many concepts and skills that a practical data scientist needs to know besides the fundamental principles of data science. These skills and concepts will be discussed in order to take advantage of free online data Science tutotials, courses, bootcamps, videos, blogposts, podcasts etc. This book 'Self Learning of Data Science for Free' is perfect for aspiring or current data scientists to learn from the best. It s a reference book packed full of strategies, suggestions and recipes to launch and grow your own data science career.

India's Budget for 2017-18 remained one of the most awaited budget presentations in recent decades where finance minister Arun Jaitley started by underlining the current government's efforts in putting India on a "transformative mode" through a series of reforms initiated over the last three years. "What is positive is that the middle class, for once, also gets a break through reduced taxes, as well as the small and medium enterprises (SME) sector. India will ramp up spending on rural areas, infrastructure and fighting poverty. Finance minister Arun Jaitley added that the impact on growth from the government's cash crackdown would wear off soon as well as hardship to people. So he's trying to mitigate that as much as possible, with some rural schemes and reduction in taxation for low income people." Calling the Budget "mildly growth supportive," rating agency Crisil notes: "The Union Budget 2017 has performed a balancing act. The budget has others who see both positive and negative features. "This budget, like all budgets, is a mixed bag, with what appears to be a greater thrust on long-term, systemic reforms than on ensuring growth per se.The priority is on digital transactions and broader digitisation of India. The government is betting big on the BHIM app. India hopes to create a cleaner, more transparent economy via digitalization that will lead to an improved climate for foreign investment, boost economic growth, and ultimately propel the country to the next chapter of its emerging markets story. The Budget announcements by finance minister Arun Jaitley clearly reflect Modi's confidence that the aam aadmi would support the "bigger moral purpose" behind demonetisation, which now guides various policy measures aimed at "cleansing the economy". The compiled book entitled 'Post Demonetisation Budget-2017- Expectations, Apprehensions and Reality' presents in-depth analysis, insights and key highlights from experts. For convenience of readers the book is divided into the following chapters.Chapter-1: Expectations from Budget-2017, Chapter-2: Economic Survey 2017, Chapter-3: Budget-2017-Opening Speech of President of India, Chapter-4: Fiscal Issues and Chapter-5: Union Budget 2017. Thanks to the original contributors of the articles presented in the book for bringing awareness among the interested readers.

GST-A Revolution in India's Tax System India launches its biggest tax reform since independence in 1947, businesses and citizens across the country are steeling themselves for economic chaos. Protests and industrial strikes broke out across the country over tax rates and compliance burdens. It has been heralded by economists and will count as the most important structural economic reform of Modi's three-year-old administration. So, any trader after GST will not be able to sell products or goods without bills. Once a bill exists in the system, scope for black money reduces automatically. Creating self-policing environment." The Goods and Services Tax (GST) regime will weed out black money and usher in an efficient taxation system. The Narendra Modi government had absolute clarity from day one that it would move against the shadow economy and black money. With GST Roll-out "The new India will create one tax, one nation and one market". GST is an important achievement for the whole country as several parties comes on board to support the pan-India tax regime. Many food items have been exempted from any of the tax slabs. Fresh meat, fish, chicken, eggs, milk, butter milk, curd, natural honey, fresh fruits and vegetables, flour, besan, bread, all kinds of salt, jaggery and hulled cereal grains have been kept out of the taxation system. Indi, sindoor, kajal, palmyra, human hair and bangles also do not attract any tax under GST. Drawing or colouring books alongside stamps, judicial papers, printed books, newspapers also fall under this category. Other items in the exempted list include jute and handloom, Bones and horn cores, hoof meal, horn meal, bone grist, bone meal, etc. After the steps taken to reduce black money and streamline election finance, the natural follow-up is to clean one of the biggest sources of black money - land and real estate. And the natural way to do that is to bring the supply of land and real estate into the GST.A lot of misconception and misinformation prevails regarding land and real estate. All answers will be available in the book entitled "GST-A Revolution in India's Taxation System-One Nation One Tax and one Market" Chapter-1: Basic Concept about GST Chapter-2: GST Bill Passed in Rajya Sabha Chapter-3: GST to Stop Black Money Generation Chapter-4: Impact of GST on Indian Economy Chapter-5: Tax Regime under GST Chapter-6: GST Rollout A through reading of the Compiled book is expected to clarify many doubts, misconceptions, and misinformation about GST and its positive role on Indian Economy.

"Big Data" is a hot topic and getting a lot of media and business attention. Everyone is talking about big data, from the challenges to yearly spending, job creation and even the tools required for big data projects. Many believe big data will help businesses make better decisions. Big Data is the expression of this gigantic mass of information that we are constantly generating at the global level due to the tremendous amount of data generated daily from fields such as business, research, and sciences. Big Data is everywhere and represents huge opportunities to those who can use it effectively. Big Data is the result of practically everything in the world being monitored and measured; creating data faster than the available technologies can store, process or manage it. Big data is a buzzword that is ambiguous and often misunderstood. But it also feels like it could be the next big thing. Advances in sensing technologies, the digitization of commerce and communications, and the advent and growth in social media are a few of the trends which have created the opportunity to use large scale, fine grained data to understand systems, behavior and commerce; while innovation in technology makes it viable economically to use that information to inform decisions and improve outcomes. Our world is bursting with information, yet we have a lack of data where we need it most: in and about the poorest and most marginalized communities.Therefore, the theme chosen for this year's World Statistics Day, "Better Data for Better Lives". It is realized that high quality statistics are essential for designing and targeting policies to reduce hunger, malnutrition, and rural poverty, and to promote the sustainable use of natural resources for cost effective output. They provide the foundation for evidence-based decision-making for governments and the international community, and play a critical role in measuring and monitoring progress toward national and international development goals and targets. Big data is at the intersection of collecting, organizing, storing, and turning all of that raw data into truly meaningful information. Now the buzzword "big data" refers to the new data-driven paradigm of business, science and technology, where the huge data size and scope enables better and new services, products, and platforms.There are some things that are so big that they have implications for everyone's life, whether we want it or not. Big Data is one of those mega trends that will impact everyone in one way or another. This book entitled 'Surprising Mind Blowing Facts and Figures of Big Data' presents some real-life up-to-date statistics right from evolution to present scenario of how big data is used today and how it is likely affect our lives in the days to come. It also covers forty definitions by thought leaders, tools.platforms, advantages and benefits. The book being first of its kind is expected to be very useful to wide audiences of students, professionals, decision-makers, and consultants involved in analytics particularly the new comers in the areas those who want to gain basic knowledge about Big Data.

About the Book The book is a collection of World wide educational and training resources for all levels from novices to advanced practitioners of computational biology. Resources that enhance learning and preparation geared towards a career in computational biology.With the arrival of genomics and genome sequencing projects, biology has been transformed into an incredibly data-rich science. The vast amount of information generated has made computational analysis critical and has increased demand for online web resources. There are thousands of bioinformatics and genomics resources that are free and publicly accessible. However, trying to find the right resource for one's need, and learn how to use the complex features and functions can be difficult. The book provides exhaustive web addresses and links of tools, databases, software etc. with brief description of each developed and available worldwide by reputed Institutions for Research in the areas of Bioinformatics and Biotechnology. It also explores easy ways that one can quickly find and effectively learn how to use resources. It will include a tour of example resources, organized by categories such as Algorithms, Analysis tools, expression resources, genome browsers for General, Eukaryotic and Prokaryotic/Microbial, Literature and text mining resources, and resources focused on nucleotides, proteins, pathways, disease and variation. Latest development on Bioinformatics weblinks, tools, software, videos, online learning materials, webniars, blogs, social media etc. are also recorded. Links to YouTube channels in bioinformatics, existing free video resources, open platforms for problem solving in bioinformatics, active web forums in computing analyses and online resources for learning to code or use a bioinformatics tool, continuing education bioinformatics training programs have been highlighted for comprehensive bioinformatics training and Open Course Ware initiative to meet the present educational and technological demand. The book helps to find right and relevant computational bioscience resources quickly, easily and how to use these independently, effectively and efficiently learn to use a resource for breakthrough research. This unique book presents major developments and trends in bioinformatics web resources and its applications. It is an essential source of reference for high &secondary school, graduate & post graduate students in bioinformatics, computer science, mathematics, statistics, and biological sciences particularly in with online learning initiatives over the past decade that has become increasingly popular. Finally, one can apply a variety of skills to the processing, storage, analysis and modeling of many types of biological data, providing valuable insights into the understanding of complex biological systems and their quantitative data.

To combat black money, corruption, counterfeit currency and terror financing, government took decision on November 8, 2016 to ban Rs 500 & 1000 notes followed by putting a cap on withdrawals from banks and ATMs, Prime Minister Narendra Modi floated the idea of a cashless society. A cultural-economic revolution in the making. But this surprise demonetization also pushed millions of new users onto the country's digital economic grid by virtual fiat. Cash might be more expensive for the government, because of tax evasion, corruption and the need to keep recirculation old, spoilt, currency, and enabling transfers, but digital is very expensive for citizens. Most Indians lack the means to use cashless alternatives, irrespective of their desire to do so. India hopes to create a cleaner, more transparent economy via digitalization that will lead to an improved climate for foreign investment, boost economic growth. India is on the verge of massive digital revolution. Towards Digital Economy government initiated launch of 'two new schemes to promote BHIM app, including cash back scheme for merchants; Aadhaar Pay to be launched for people who don't have mobile phones. This will not only help millions of Indians overcome the hassles of dealing in cash to emerge as a truly cashless economy. Demonetization initiative and subsequent drive towards developing a cashless economy and subsequent likely impact as well as in depth analysis, insights and key highlights from experts are all presented in the compiled book entitled 'Cashless Economy in India-Present Scenario, Potential, Prospect and Challenges Ahead' For convenience of readers the book is divided into the following chapters. Chapter-1: Basics of Cashless Economy; Chapter 2: Mobile Wallets and Apps in India; Chapter 3: Government Initiative in Digital Movement; Chapter 4: Cashless Economy-Challenges and Prospects Chapter 5: Pros and Cons of Cashless Economy and Chapter 6: Next Generation Digital Payments Models in India: Present Scenario. It is expected that the book will be informative and useful for interested readers on this subject

In November 2016 after the demonetisation decision was taken to curb black money and root out corruption, allegations were made that the move will harm the economy. But the financial figures of the last quarter give the answer. I. Post demonetisation, cash withdrawals have been declining rapidly from a peak of Rs 528 billion for the week ended 13th January to Rs 325 billion recently (week ended 24th March). II. Industrial output growth has risen to a 13-month high of 5.7% in November while retail inflation slowed to a 25-month low in December. III. India's foreign exchange reserves surged for the second consecutive week by $932.4 million to $360.775 billion in the week to January 20,2017 IV. The rupee hit a 16-month peak against the dollar to INR 65.41 per dollar V. The number of persons under the income tax net has increased by 91 lakh post note ban. VI. The CBDT has detected undisclosed income of over Rs 9,334 crores between November 9, 2016, and February 28, 2017. VII. Under Operation Clean Money (OCM), more than 60,000 persons, including 1,300 high-risk persons, have been identified. VIII. Income tax department will issue 700,000 letters seeking information about high-value transactions. IX. Indian economy grew by 7% in the fourth quarter of 2016 and 6.1% in 1st quarter of 2017. X. The real estate sector hit in the fourth quarter, but a strong contribution of the agricultural sector and manufacturing. XI. The purchasing managers' index (PMI) shows a large rebound. XII. Shell companies provided a strong support system for black money after demonetization are in the process of identification and tax net. XIII. The income tax (I-T) department has begun its second phase of "Operation Black Money". XIV. More than 30 government-to-business services have been brought online, with e-filing, single-windows. XV. Foreign direct investment (FDI) into India increased by 9 per cent to a record level of $43.48 billion in 2016-17 The book entitled 'Real Impact of Demonetization on Various Sectors of Indian Economy and Society' covers nine key topics that are essential to assess the impact of demonetizationand its short, medium and long time economic, social and political impact in India. Ch-1: Demonetisation and Remonetisation; Ch-2: Demonetization and Indian Budget 2017; Ch-3: GDP Projection's Ch-4: Impact on Tax Collation; Ch-5: Impact on Cashless Economy; Ch-6: Impact of Demonetisation on Agriculture; Ch-7: Impact on Economy; Ch-8: Political Impact and Ch-9: Impact on Society.

Indian Prime Minister Narendra Modi has announced that the existing 500 and 1,000 rupee banknotes will be withdrawn from the financial system overnight. The surprise move is part of a crackdown on corruption and illegal cash holdings. The decision met with mixed initial reactions while some welcomed the move, hailed demonetisation as a

Today's bioinformatician are in high demand. With a seemingly endless stream of biological data being generated across sectors, there is high demand for talented, experienced professionals at the crossroads of biology, statistics, and computer science. Scientists who can analyze large amounts of information and present it in a clear manner to decision makers are finding the sky is the limit in terms of jobs and career pathways, especially in the big pharma and biotech sectors. It is an essential one-stop guide for researchers, graduate & post graduate students in bioinformatics, computer science, mathematics, statistics, and biological sciences as current online resources and learning technologies will continue to impact bioinformatics education programs

Big data exists in a wide variety of data-intensive areas such as atmospheric science, genome research, astronomical studies, and network traffic monitor. Big data exists in a wide variety of data-intensive areas such as atmospheric science, genome research, astronomical studies, and network traffic monitor. Collecting, analysing and understanding Big Data is becoming a differentiated strategy today but it will become a fact of life tomorrow. A lot of work is done on big data. Now it is time to know its impact on welfare of the society. Therefore, the aim of the book is to understand real use cases, benefits, advantages, impact and future challenges. This book, 'Impact of Big Data Analytics on Business, Economy, Health Care and Society' is unique among those big-data books because of its great depth, technical approach and coverage of the emerging issues and approaches in various fields of Big Data like usecases, benefits and impact on society. The book is focused around the real-life implementation of Big Data technologies that will provide bold vision from leading innovators across the data-driven spectrum and help gain fresh insights and strategic momentum to grow further. The aim of this book is to be accessible to researchers, graduate students, and to application driven practitioners who work in data science, analytics and related fields. It is a timely and urgently needed publication as it provides the most up-to-date, crucial, and practical infor¬mation for big data use cases, benefits, advantages, and impact. Speciality of this book is that it covers important issues of big data from fundamental knowledge to application in various sectors along with its impact on society.

On the first anniversary of the demonetisation, the government celebrates this day as 'Anti-black money day', while those opposes called it a 'Black day'. The book entitled 'One Year after Demonetisation in India: Impact, Views and Reactions' catching the impact after one year since its implementation of the move is presented. As per government claim, demonetisation has won the battle resoundingly on a whole host of fronts. While on the other hand, critics say that the Economy Shaken, GDP Hurt, Trust in Government Undermined as follows Detailed report about the purpose of demonetisation and how far the Government initiative was successful can be had from the following chapters. Chapter-1: Facts and Figures of Demonetisation and GST; Chapter-2: Positive Impact of Demonetisation; Chapter-3: Negative Impact of Demonetisation; Chapter-4: Reactions on Demonetisation; Chapter-5: Display of Impact through Analytics and Graphics; Chapter-6: Arrow Effect of Demonetisation and GST; Chapter-7: Demonetisation and Digital Boost; Chapter-8: Videos on Demonetisation Impact.

All the 42 book s constitute the following focus areas like Biotechnology, Bioinformatics, Nanotechnology, Expert System Neural Network, Applied Technologies, Database, Modeling, Analytics and Business Intelligence Software, IPR & Social Issues. s on Emerging digital technologies, Information and communication Technology Tools, skill and technologies for 21st century Education, Big data, Business intelligence softwares, GIS, IPR and Knowledge/Patenting/Indigenous and Traditional Knowledge Management (KM) challenges are also included in the book. The book is divided into 5 broad sections covering the whole gamut of emerging technologies in the fields: 01.  Biotechnology, 02.  Nanotechnology, 03.  Expert System Neural Network, 04.  Applied Technologies, 05.  Database, Modeling, Analytics and Business Intelligence Software, It is expected that the book will be very much useful because with the emergence of new technologies and application through software tools are becoming very important in the 21st Century society.

Knowledge Management is the process by which an organization identifies, creates, manages and delivers information to enhance workforce performance.KM is a discipline that promotes an integrated approach to identifying, capturing, evaluating, retrieving, and sharing all of an enterprise's information assets. These assets may include databases, documents, policies, procedures, and previously un-captured expertise and experience in individual workers. All these issues are covered in thirty three s in the book broadly divided into the following five sections. Fundamentals of Knowledge Management, Latest Tools and Techniques for Knowledge Management, Databases, Data mining, Knowledge Discovery in Biotechnology and Bioinformatics, Data mining and Knowledge Discovery in Agriculture and Allied Fields, Indigenous Knowledge Protection and IPR Issues The book contains original research and case studies by academic and research contributors on strategies, tools, techniques and technologies for Knowledge Management. The focus of this book is on the identification of innovative KM strategies and the application of theoretical concepts to real-world situations. This first serves as a complete introduction to the concepts and principles of KM, starting with basics of data, information, knowledge and wisdom. Clarified differences among Explicit, Implicit and Tacit Knowledge. The book also covers traditional KM approaches as well as emerging topics such as cloud computing, Semantic Web, Rough Computing, Fuzzy logic, Artificial intelligence, Machine learning, social networks, Tools and Techniques for Geo Spatial Data Knowledge Discovery. The focus of the book is on how KM impacts organizations and individuals and steps that should be taken to maximize benefits, including directions for how to select, develop, and evaluate KM systems.

The book entitled 'Evaluation and Impact Assessment of Technologies and Developmental Activities in Agriculture, Fisheries and Allied Fields' is aimed to cater to the growing demand of Impact Evaluation (IE) studies as the primary purpose of Impact Assessment (IA) is to estimate the magnitude and distribution of changes in outcome and impact indicators among the target population and to assess the extent to which these changes can be attributed to the interventions being evaluated. The book, probably first of its kind in the country spreads over twenty s contributed by the subject matter specialist and practitioners working in various fields contain both methodology and analytical issues of IA. s on basis impact assessment methodologies like PRA techniques, logical framework approach for project monitoring, evaluation and impact analysis with latest available economic, financial, social, environmental, and MDG indicators are also highlighted. Case studies on technological impact on agro-ecosystem, pulse production, crop diversification on agricultural output and integrated rehabilitation of Tsunami affected people in Andaman and Nicobar Islands are also available. Most importantly socio-economic impact of cashew production, shrimp farming, aquaculture production, conservation of ecology of coastal zone vegetation with reference to Mangroves and water hyacinth are contributed by renewed experts. Case studies on assessment of ICT, remote sensing fluxomics and agricultural insurance on future crop production in India are of significance. Programme evaluation of Swarnjayanti Gram Swarozgar Yogana (SGSY) is of important for those involved in such projects. The book contains complete list glossary on IA, list of IA studies conducted in India by Programme Evaluation Organization of Planning Commission, sector wide priority indicators for agriculture and rural development which will serve as a ready references."