Volume 15 Issue 2 April-June 2023Vol. 15 No. 2 (2023)
Volume 15 Issue 1 January-March 2023Vol. 15 No. 1 (2023)
Volume 14 Issue 4 October-December 2022Vol. 14 No. 4 (2022)
Volume 14 Issue 3 July - September 2022Vol. 14 No. 3 (2022)
Volume 14 Issue 2 April-June 2022Vol. 14 No. 2 (2022)
Volume 14 Issue 1 January-March 2022Vol. 14 No. 1 (2022)
Volume-13 No. 4 (October to December 2021)Vol. 13 No. 4 (2021)
Volume-13 No. 3 (July to September 2021)Vol. 13 No. 3 (2021)
Volume-13 No. 2 (April to June 2021)Vol. 13 No. 2 (2021)
Volume 12 Number 3 Year 2020Vol. 12 No. 3 (2020)
Volume-12 Issue-2 Year- 2020Vol. 12 No. 2 (2020)
Vol.12 Issue.1Vol. 12 No. 1 (2020)
algorithm Used in a Hybrid Age to bring paradigm shift: across all segments and verticals to create an edgeVol. 11 No. 4 (2019)
When your business rival introduces or launch any innovation, the only common-sense from our side is to reveal one just like it, intention is very clear to get a niche. Hybrid age is all about cutting edge and advent of blended technology taking past as a base. The rationale behind writing a note on behalf of an editor bench on this meticulous subject matter “Algorithm Used in a Hybrid Age to bring paradigm shift: Across all segments and verticals to create an edge” is well designed and premeditated for this fastidious issue (Volume-11 No.-4 Oct-Dec 2019) due to the advent of technology in all the phases. In entireness we had acknowledged eight articles in various capacities with blended tactics and parade. The earliest and major articles categorization is Empirical Research paper written by Sonakshi Jaiswal, Namratha Sharma and K. Ashwini entitled “Food War: It’s Effect on Gen Y and Z”. The second nomenclature is a Case Study Based Papers in which we had four papers in total which are versatile in nature such as , “Thresholding Algorithms for Image Segmentation - Entropy Based Comparison” (Sudhansh Sharma and Bhavya Sharma), “Impact of US on Chinese and Indian Stock Markets Post Asian Financial Crisis”- (Parul Bhatia), “Optimization of Communication Network Based on Supply Chain Management Model”- (I S Ghuman, Vishal Nagpal & Anurag Saxena and finally “RRBs In India: Strategies for Sustainable Development”- (Namita Rajput and Nandini Marwah). The third nomenclature is Research Thought “Confronting the Virtual Sea of Fake Medicines on the Web: The Battle Continues”- (Peggy E. Chaudhry) and finally the last nomenclature View point “Divers Principles, Algorithm & An Approach To Data Mining: A Comparative View”- (Sachin kumar & Prerita Talwar) and “Blockchain Revolutionizing Industry 4.0 (Decentralize Technology for Industries Automation)”- (Nitin Garg and Nidhi Garg). We had also created some more innovative thoughts in this particular issue which is an insurgency and conception of editorial office such as Book Review, Award, and Biographical note of a Luminary in an area. We had also used some more filler which can categorically work as teasers.
Deep learning Architectures is a class of Machine Learning AlgorithmsVol. 11 No. 3 (2019)
The machines have been in use as yet and not in smallest quantities. They are making their line of attack into our day after
day lives, influencing how we remain living, and endeavor to make sense about ourselves. From voice-controlled personal
assistants like Siri and Alexa, to more elementary and profound technologies, for example, social algorithms, suggestive
searches, self-governing and self-driving vehicles flaunting huge prognostic capacities, there are sensibly a great deal of models
and uses of artificial intelligence (AI) in today’s humanity.
Computer science describes AI research as operations of “smart operators” or any apparatus that recognizes its surroundings
and acts in a way that generates the best possible and proficient route for accomplishing its objectives. An increasingly convoluted
definition portrays AI as “a system’s competence to relevantly understand outer information, to learn from such information,
and to make use of those lessons to accomplish explicit objectives and assignments through flexible variation.
Artificial Intelligence in a Technological EraVol. 11 No. 2 (2019)
The machines have been in use as yet and not in smallest quantities. They are making their line of attack into our day after day lives, influencing how we remain living, and endeavor to make sense about ourselves. From voice-controlled personal assistants like Siri and Alexa, to more elementary and profound technologies, for example, social algorithms, suggestive searches, self-governing and self-driving vehicles flaunting huge prognostic capacities, there are sensibly a great deal of models and uses of artificial intelligence (AI) in today’s humanity.
Computer science describes AI research as operations of “smart operators” or any apparatus that recognizes its surroundings and acts in a way that generates the best possible and proficient route for accomplishing its objectives. An increasingly convoluted definition portrays AI as “a system’s competence to relevantly nderstand outer information, to learn from such information, and to make use of those lessons to accomplish explicit objectives and assignments through flexible variation.
Accelerating Financial Inclusion through Block ChainVol. 11 No. 1 (2019)
FinTech’ is an appearance debatably coined in the mid-1980s. If you come across at the historic times it has relations since 1800 century. Between 1856-1966 finance and technology came reciprocally as an outcome first analogue financial technology was created. For the first two decades of use, perspicacity is FinTech was primary and principal employed to portray “Backend” banking technologies. It was assumed as vehemently linked & coupled to back-office operations. Financial inclusion is the gratification of making financial services reachable at sensibly priced costs to all folks and trade, in spite of net worth and dimension equally. Financial inclusion strives to contemplate on and unpaid assistant solutions to the self-control that exclude people from participating in the financial sector and also called wide-ranging financing. In early 2000 the first digital bank was make out as almost all financial services institution participated in this game. Global financial crises of 2008 gave remarkable challenges to the traditional method of banking i.e. only via bank thus self-governing FinTech startups got into the portrait. 2014 was the year of every day new FinTech startup. This is when we saw just about every big player, particularly from non-financial services background, jumped into the FinTech market. 2018 was a banner year for FinTech with key drivers of FinTech growth built-in record levels of deals and financing, the appearance of new global tech hubs, and favorable regulatory tailwinds. The combination of these factors positions the FinTech sector to further digitize the customer journey, make inroads in new and adjacent markets, and collaborate across the industry in 2019.The 2019 also going to answer the how in trends we’re anticipating can facilitate to lecture to several questions, such as: How is artificial intelligence (AI) helping banks comply with new regulation?; What does Open Banking mean for consumers and what markets could it spread tonext?; Why are SMBs the next battleground for FinTech?
EIS Strategy for Implementation of Contemporary Technology thought Omnipresent in a present State-of-AffairsVol. 10 No. 4 (2018)
Every year, there are some technologies that are getting tons of murmur in tech industry. In past years, cloud computing, big data or Hadoop etc have gained lot of popularity. At present, blockchain unquestionably fits in this portrayal. Enterprise information system (EIS) tier, in J2EE architecture, provides an enterprise’s critical business information infrastructure. This system includes enterprise resource planning systems, relational databases and transaction processing systems. Blockchain is an ingenious invention, which is a brainchild of a person or group of people known by the pseudonym, Satoshi Nakamoto. Many people are unaware and are raising question about what exactly is a blockchain. Blockchain technology created the backbone of a new type of internet by allowing digital information to be distributed. It was originally devised for the digital currency, Bitcoin. The use of blockchain technology can be viewed by rapid increase in publications, conferences and articles in journals. The tech community has now found many other potential uses of the technology like Blockchain, Artificial intelligence,
Internet of Thing (IoT), Machine Learning etc.
EIS impact in Digital EntrepreneurshipVol. 10 No. 3 (2018)
Digital Entrepreneurship can be classified as embracing “new ventures and the alteration of existing business by creating and using novel digital technologies. Digital Enterprises are characterized by an elevated potency of utilisation of new digital technologies (chiefly societal, movable, analytics and cloud solutions) to step forward business operations, formulate new-fangled (digital) business models, pulverize business aptitude, and tie with customers and stakeholders through new (digital) channels”. Digital entrepreneurship is an appearance that describes how entrepreneurship will revolutionize, as business and society lengthen to be transformed by digital technology. Digital entrepreneurship highlights changes in entrepreneurial practice, theory, and education. Beyond learning new sensible skills, digital entrepreneurship is also about new ways of thinking about entrepreneurship itself—which is another way of saying it offers new theories of entrepreneurship. Digital entrepreneurship opens up new questions about policy, circumstance, and jeopardy. Does the most admirable data win? How can I legerdemain a business thought that can be prototyped digitally? How can I step forward my business idea faster than anyone as fighting fit? How can I without complicatedness fastening between different business ideas, and revenue sources? What does it indicate to be an universal business from the first day? And why do community from around the world stay behind trying to smash into my trade?
Block chain a peer-to-peer network: A holistic Study from research firm to corporate houseVol. 10 No. 2 (2018)
The blockchain, the technological innovation reinforcement the recognizable cryptocurrencies bitcoin, has progressively more the subject of academic and public question. In present circumstances it has become buzzword in a future too. Blockchain technology, first functional in the blueprint of Bitcoin in 2008, emerged from a movement of anarchists, computer scientists and crypto aficionado who aphorism the impending of the technology as a breakthrough in the long anticipated apprehension of an old “cypherpunk” dream of money that is free from the control of the state which also in a judicial language was considered as a legal tender and other third parties, such as commercial banks. The main aim of the research is to elucidate the concept of blockchain in a holistic manner vis-à-vis peer-to-peer network management by taking into consideration Internet of Thing (IoT), cryptocurrencies and bitcoin, positive etc. The study also highlights the impact of blockchain in a management perspectives. The paper also demonstrates how blockchain management with IoT will offer opportunities to the organizations and how it will impact their future competitiveness and market share and it exhibits various other issues relating to blockchain.
General Data Protection Regulation (GDPR) is an Important Phenomenon in EIS Privacy ParameterVol. 10 No. 1 (2018)
A data governance strategy is a recognized set of guidelines for ensuring the
appropriate management of an organization′s digital information. Such guidelines
can engross policies for business process management (BPM) and enterprise
risk planning (ERP), as well as safety measures, data superiority and solitude.
After four years of grounding and deliberation the GDPR was in conclusion
permitted by the EU Parliament on 14th April, 2016. With an enforcement date:
25th May 2018 the EU General Data Protection Regulation (GDPR) replaces the
Data Protection Directive 95/46/EC and was designed to match up data privacy
laws across Europe, to look after and authorize all EU citizens’ data privacy
and to redesign the manner organizations across the globe move toward data
EIS helps Slogan “India mean business” and open philosophy of “Ease of doing Business”?Vol. 9 No. 4 (2017)
Contemporary business is all in relation to building institutions that coalesce technology, machinery, decision-making expertise and multifaceted processes in the service sectors or the mass production of goods. These may diverge overwhelmingly from segment to region. To flourish production there is a prerequisite of diverse machinery and processes than vaccines. Then, there is also the precondition for traditional financing and for a market to sell to. Consequently, would it essentially matter for the country like India and its business process to rationalize the process if the instance taken to establish a business is 40 days instead of 30 days in the event the industry as a whole lags behind its peers in Asia which include Japan, china, Singapore, South Korea and many more in technical
Algorithm with EIS is Changing the Mindset and Concept of Ownership of Generation ChangersVol. 9 No. 3 (2017)
Algorithms are enormous optimizers. An algorithm can perceive patterns in amorphous data and serve an experience that is appropriate and adapted to the user. It also enables companies to nourish their “big data” into such algorithms and jumps start their personalization efforts. Algorithm also facilitates online shoppers to insist the identical variety of personalized attention in the digital store. Dazzled by Facebook and Netflix, navigates websites to construe any signals they’ve shared and dole out an appropriate familiarity. On the other hand algorithm has turn down a considerable burden on digital merchandisers and helpful in showing this personalized care to the thousands of shoppers visiting their online stores which further helpful in facilitating the process. Algorithms now-a-days make a decision to help a best interest rate in getting a loan, arranging a job interview, various good options in insurance, how customer’s foot fall in a virtual store and much more -- but they don’t mechanically make things flaxen, but the modus-operandi need to be formulated. While going through a TED lecture of a mathematician and data scientist Cathy O’Neil who had coined a term for algorithms that are secret, important and harmful: “weapons of math destruction.” It had been observed that algorithm nowa- days is crossing a boundaries of mathematics and entering into a corporate world and academia too in a form of research where researcher should able to know how and when respondents will fill the questionnaire which he/she had floated to respondent.
EIS Level the Corporate/Academia Spread and Bridge the Gap with Changing TimeVol. 9 No. 2 (2017)
We live to tell the tale in paradigm shifting time in all areas of industry including all the service sectors that change is a buzzword. Old-fashioned sectors are struggling for supremacy, recklessly clinching to old paradigms of order that are becoming step by step more irrelevant in a world that is now erratic and jerky on a daily basis. We recognize that all the changes are motivated by knowhow and technology driven and it is in society’s approachability to grapple technology and to shapes the future of our jurisdiction in such a manner that it not only engenders prominence of life for citizens but facilitate in creating occasion all the way through job formation. Those who had not altered themselves, it is the moment which had forced them to acclimatize alteration either eagerly or reluctantly. Certain questions which need to be tackled out-of-box, vis-a-vis the burgeoning phenomenon: Why self-driving cars is not about technological achievability, but societal impacts and industrial revolution? How complicated will it be for the cab drivers and truckers who’ll lose their jobs to locate another way of making a living? How will the industry change if we break off view about cars as things we possess constantly but only utilize 5% of the time, and initiate seeing them as an on-demand service? How much can we trim down mishap, toxic waste and jamming on the road?