Forem: hopesuresh1

The benefits of Cognitive Automation

hopesuresh1 — Thu, 04 Oct 2018 07:01:47 +0000

The McKinsey Quarterly, an article by the industry giant, McKinsey, and Company, stated that 45% of all human activities, which employers pay for can be automated. RPA is the most emerging trend in the world which integrates existing and new software with Artificial Intelligence (AI) and machine learning. RPA will take over high volume tasks that require more time to complete with little or no human interaction. RPA can also be referred to as Software Robots or Bots, which are capable of mimicking human actions. RPA complements the organization’s existing IT (Information Technology) structure while opening doors to develop and implement new ground-breaking technologies.

There is a difference between normal IT automation and cognitive automation technology. For example, a customer has entered a wrong data or left out a section completely while filling an e-form to open a new bank account. Existing IT systems will reject the form, flag it and wait for a human operator to make the necessary changes. Alternatively, in the case of cognitive automation processes, the system autonomously identifies and self-corrects the issue without any human intervention. This increases the efficiency of operations, reduces time and effort and results in a better overall customer experience.

RPA consists of screen scraping, workflow automation, and Artificial Intelligence (AI) among many other aspects.

Screen scraping, also known as Advanced Terminal Emulation, is the programming that translates data between legacy applications (software programs like mainframe applications etc.) and new user interfaces so that the logic and data of these obsolete software/legacy programs can still be used.

Workflow automation is the automation of organizational processes, centered on workflow guidelines and interaction between computers and human systems. It leads to increased productivity more efficiency and better customer experiences. Workflow automation leads to improved accuracy, audibility, and job satisfaction.

Artificial Intelligence (AI) is making a computer or a computer controlled bot or a software think intelligently. John McCarthy is known as the father of AI. The goals of AI are twofold, namely to create expert systems and to apply human intelligence in machines. AI is applicable in the world of gaming, natural language processing, expert systems, vision systems, handwriting systems, robots, and speech systems.

Industry Applications of Cognitive Robotic Process Automation (CRPA)
CRPA is the combination of RPA and cognition. It basically means the addition or application of human intelligence in a computer software or program, so that the software can do the tasks without any human intervention. Different industries have already started using cognitive automation tools to enhance their businesses.

AMELIA

IPSoft, an American technology giant has introduced Amelia, a virtual assistant, as one of their cognitive tools. Amelia has the most dynamic AI system and can understand up to twenty different languages. Amelia can handle all of a company’s service requests without the need for human intervention and help any company achieve Return on Investment without any risk. Like Siri from Apple, Amelia can talk to clients and solve their queries in a “conversational” language. She can manage processes which include checking out insurance policies for clients and helping customers open bank accounts. She will also be in charge of helping employees within businesses, providing HR services and helping employees learn company policies and guidelines. She has been deployed in many companies including Accenture, Deloitte, and Shell Oil.

VIRGIN TRAINS

Headquartered in London, United Kingdom, Virgin Trains are using CRPA and AI to manage company-customer relationships better. The company was finding it difficult to manage large volumes of customer complaints and ticket-cancellation and refund processes. As a result, the company shifted to Alexa, the virtual assistant from Amazon to handle their customer queries and complaints better. Their software bots are now responsible for the entire customer refund process. This cognitive automation solution has reduced daily processing time and manual labor involved in dealing with customer emails by 85 percent.

VANTAGE SOFTWARE

Vantage Software, headquartered in the United States of America was faced by a grave challenge, to provide accurate, real-time, fact-based recommendations on investment to financial managers. To help with this challenge, Coalesce, an IBM Watson powered cognitive computing technology was introduced. In the words of Greg Woolf, founder and CEO of Vantage Software, “With Watson, we can examine tens of millions of pages of documents, explore available market intelligence, risk profiles, and financial profile data to provide better information to analysts.” Another example of cognitive automation that has worked wonders for Vantage Software.

WELLTOK

Welltok, a leading software company for consumer health in Denver, wanted its customers to have access to reliable and up-to-date health information. Every day a lot of conflicting health-research articles are published all over the Internet causing confusion among consumers. This made the company come up with CaféWell Concierge, a cognitive powered tool. In addition to processing vast amounts of conflicting data, this tool can answer consumer queries intelligently by providing accurate and personalized recommendations.

Benefits of Cognitive Automation

The technological landscape has shifted towards cognitive automation. In the future cognitive RPA will come into play to monitor app health, optimize testing, and maintenance of self-health.The benefits of cognitive automation include

• Unequaled quality of service by reducing downtime and improving smart insights.
• Autonomous learning and cognitive computing will reduce operating costs by a large amount.
• Increased business performance and faster processing speed.
• Identifying patterns and running diagnostics to mitigate problems without any human intervention.
• Software bots work faster than human beings to extract and process data thereby increasing the volume of work-flow that can be achieved within a given time limit.
• Natural Language Processor (NLP), a tool used in cognitive computing, has the ability to communicate more effectively by resolving critical incidents reported by consumers.

IBM Cloud Automation Services combines cognition with analysis to provide business enterprises with the following advantages:

• A 50 percent reduction in server downtime in the past two years.
• Reduced average ticket time by autonomously resolving more than 1500 server tickets every month.
• 89 percent reduction in issues relating to critical incidents within six months.
• Has reduced the amount of time needed by an organization to solve a Severity 1 issue to 28 minutes from 19 hours.

A research report on the Cognitive Robotic Process Automation (CRPA) market by The Bureau of Indian Standards (BIS) shows us that CRPA services market was around $50 million in 2017 and it will grow at a compound annual growth rate of 60.9% between 2017 and 2026.

The Interplay between RPA and CRPA

There is a common misconception that RPA and CRPA are not related, but in reality, one complements the other. In simple terms, CRPA is a combination of RPA, Machine Learning, and AI. This small table shows us the difference in automated programs when AI is incorporated versus when AI is not incorporated.

The world is in a race to digitize itself. AI has vast applications and ranges from front to back office computer applications.

A study conducted recently by McKinsey showed that manufacturing, sales & marketing, supply chain, and customer service are the major industries where AI will spread the most and create enormous value. According to their study, it is predicted that global annual profits due to AI will be in the range of $3.5 trillion to $5.8 trillion.

Future of RPA and CRPA

RPA and CRPA are here not to replace humans but to make their work easier and faster. Artificial Intelligence today has found its application in predicting machine failure rates, sentiment detection, and facial image recognition. AI is expected to endeavor into human-level Artificial General Intelligence (A.G.I) very soon. AGI will make systems learn, plan and take decisions autonomously in addition to communicating in different natural languages.

AngularJS Interview Questions and Answers

hopesuresh1 — Wed, 22 Aug 2018 10:56:09 +0000

Q1. Explain component life cycle in Angular?

In Angular component life cycle in Angular goes through the following stages.

Create

Render

Create and render children

Check for bound data changes and re-render

Destroy

Q2. List the types of Data Binding supported by Angular5?

Angular 5 supports four types of Data Binding They are

String Interpolation

Property Binding

Event Binding

Two-way-binding

Q3. What are the new features of Angular 2 ?

Angular 2 is a platform that encompasses a wide range of capabilities. Some new features were added in Angular 2 which includes:

Universal server rendering- It is the library which is used to make building universal apps a smooth experience. It is an important feature of Angular 2.
A mobile toolkit- It provides all the mobile toolkit and techniques to build high-performance mobile applications. The web applications which are developed using the mobile toolkit can be loaded on any device with or without internet connection which is a great advantage.

A command line interface-it can generate components, routes, services, and pipes with the help of commands.

Q4. How do you define the transition between two states in angular?

Transitions between two states take place so that we can build simple animations between two states driven by a model attribute. Transition basically means navigating from the current state to a new state. In angular, the transition is an animation-specific function which is used in angular’s animation DSL language. Transition declares the sequence of animation steps that will be executed when entered value is satisfied. A function is provided an argument for a transition and it will be executed each time a state change occurs. In this, if the function is true, then the animation will run else it won’t get executed.

Q5. What is the difference between observable and promises?

The differences between observable and promises are:-

Observable is a more powerful way of handling HTTP asynchronous requests. Whereas, A promise handles a single event when an asynchronous operation completes or fails.

An observable is like a stream which allows passing zero or more events where the callback is called for each event. Whereas, A promise eventually calls the success or failed callback even when you don’t need the notification or the result it provides anymore.

Observable works with multiple values for a particular time. Whereas, Promises works with and even returns a single value at a time.

Observables can be canceled. Whereas, Promises cannot be canceled.

Observable supports map, filter, reduce and similar operators. Whereas, Promises have more readable codes with try/catch and async/await.

In observable, one operator ‘retry’ can be used to retry whenever needed. Whereas, Promises cannot be retried. A promise should have access to the original function that returned the promise in order to have a retry capability.

Q6. What is ECMAScript?

ECMAScript is a standard for scripting languages. It is a subset of Javascript. Languages such as ActionScript, JavaScript use ECMAScript as its core. ECMA stands for European Computer Manufacturer’s Association. Coders commonly use ECMAScript for client-side scripting on the World Wide Web. It is also used for server applications and services. It includes structured, dynamic, functional, and prototype-based features. The ECMAScript was developed by Brendan Eich of Netscape. The ECMAScript is standardized by the ECMA international standards organization in the ECMA-262 and ECMA-402 specifications. It is a programming language which is designed specifically for acting on an existing entity or system. It provides the rules, details, and guidelines that a scripting language must observe to be considered ECMAScript compliant.

Q7. List the key components of Angular 2?

The Angular 2 comprises of the following key components:

Module – This is used to break the application into the logical pieces of the program code and each piece of code or module is designed to perform a single and unique task.

Component – This is used to bring the modules together.

Templates – This is used to define the Views of an Angular JS application.

Metadata – This is used to add more data to an Angular JS application.

Service – This component is used to develop the components, which can be used to share in the entire application.

Q8. Explain the component directory structure of Angular 4

Here are the elements which are present in the component directory structure anf modules:-

module.ts- in this, the angular module is declared. @NgModule decorator is used which initializes the different aspects of angular applications. AppComponent is also declared in it.

components.ts- it simply defines the components in angular and this is the place where the app-root sector is also defined. A title attribute is also declared in the component.

component.html- it is the template file of the application which represents the visual parts of our components.

Robotic Process Automation Tutorials for Beginners

hopesuresh1 — Wed, 22 Aug 2018 10:44:56 +0000

title: Robotic Process Automation Tutorials for Beginners
published: True
description:
tags: RPA, Blue Prism, UiPath

Introduction

Digital transformation is fulfilled once we extracted more out from a Software. The Interesting passage in the recent technology transformation was the inclusion of robots in the place of humans, where the approach has been called as Robotic Process Automation

The RPA would effectively cut down the labor cost, faster execution of the tasks. The goal is to explain what RPA is and how Blue Prism supports it.

What is Robotic Process Automation?
Even in our digital era, many business processes are still carried out by people. Yet these processes commonly rely on one or more applications, with human beings providing the driving intelligence. For example, think about a back office that handles customer orders. Each order might require getting a customer’s name, then be looking up and be validating the customer’s shipping address. Once this information is available, the next steps might be to calculate the shipping cost and place the order. In a typical back office environment, people execute this process, often relying on multiple applications to complete it.

Desktop Automation
Associations using Robotic Desktop Automation and Robotic Process Automation are understanding a speedier and more prominent degree of profitability when both are utilized in the change travel. By evacuating lower esteem, tedious exercises from the work area, for example, application sign-on and ring set—CSRs in your front office can center around the client and convey uncommon administration. In the back office, completely mechanizing high-volume, rules-based procedures to diminish costs, quicken efficiency, and reduction blunders will free representatives to perform higher-esteem work. Some key advantages clients involvement with robotic Automation:

-Optimize customer service processes by simplifying the desktop

-Orchestrate the customer journey by integrating customer channels, business data, and enterprise applications

-Enforce regulatory and service-level agreement compliance

-Provide flexibility to scale up or down as work is queued

-Improve agility and speed to market to meet changing business needs

-Enable 24×7 workflow processing.

What are the Robotic Process Automation tools?

OpenSpan
AA
Blue Prism

Insight and Robotic automation enable ventures to boost the estimation of their two greatest speculations, individuals and innovation, by seeing how clients cooperate with applications. Pega mechanical process mechanization, work area computerization, workforce insight, and case administration together to empower more profitable representatives and a superior client encounter. Not at all like RPA-just arrangement suppliers, Pega offers end-to-end Robotics, CRM, and BPM for any computerized undertaking, enabling associations to:

Distinguish work process wasteful aspects: As an initial step, organizations can rapidly and all the more effectively break down their representative work processes to reveal forms that are causing an interruption in client encounter, for example, unnecessary and blunder inclined information re-keying crosswise over various applications. This visibility helps pinpoint wasteful procedures that could be a prime contender for apply autonomy to carefully change their activities.

Mechanize work area forms: CSR experiencing application over-burden would now be able to profit by work area applications working in a solitary consistent process—moving information between applications where APIs don’t exist. Arrangements can be conveyed in weeks, rapidly rearranging the representative experience, which prompts a superior client encounter.

Reduce repetitive tasks: Outside of client benefit, some high-volume, low-multifaceted nature assignments generally done by workers would now be able to be robotized without the requirement for human intercession. Mechanical process automation empowers these procedures—from investigating claim points of interest to refreshing exchange frameworks—to be run unattended, additionally liberating agents to address the issues of their clients.

Advantages of Robotic Process Automation
It is considered to supplant the information passage and the information re-keying employments with its computerized instruments and methods. Additionally, dreary occupations of information collecting, organizing errands that utilization an arrangement of standards to take after the procedure can be effortlessly performed utilizing RPA.

Almost every type of computer-aided process that uses a set of protocols for its operations can be performed using RPA.

The growth in the field of RPA is sure shot and thus will provide higher technological potentials towards significantly reducing the risk of inaccurate regulatory reportings along with improvised analytics and higher data accuracy.