These days, wind farms are being developed at a rapid pace where the wind turbines are generating electric current from wind energy. But, these wind turbines are getting failed unknowingly and causing the companies huge loss. Hence, companies are out in search for a solution, which might actually predict the failure.

Wind Turbine Failure Prediction using IR 4.0 reduces the effect of failure in a way, that it predicts the actual state of the turbine. This is done by collecting the historical data and then analyzing the factors that are effecting in the breakdown of the turbine/components of a turbine and also shows the reason of failure.

IoT devices are attached to the turbines which transmits the data to the developer. The developer monitors the turbines and knows the current state of the turbines, so that the developer has the capability of finding any changes in the characteristics of the turbines. This reduces the breakdown time of the turbines and losses that occur due to less production increasing the efficiency of production.

Business Challenges
• Reasons for unplanned breakdown
• Setting up a field technician for inspecting the turbine as it is much costlier
• Losses due to equipment breakdown in electricity production
• Delay in the production of electricity until the equipment is repaired or replaced

Business Solutions
• Predicted using machine learning algorithms on whether the equipment will breakdown or not
• Using survival analysis , predict when the equipment will fail
• Sending proactive alerts on when maintenance of equipment should be scheduled
• Predicting the lifetime value of the turbine components

Repeatedly receiving similar complaints about a device failure will certainly not leave a good impression on the customer.

Often devices get failed due to unknown reasons and the cost these companies incur to identify the reasons is huge In terms of manpower, it can reduce the unnecessary burden and helps in cycle process duration reduction of identification as well.

Device Data Analytics using Artificial Intelligence and Machine Learning has its applications in various industries. One such application is“Battery Failure Root Cause Analysis using AI & ML”.

In this present world, where safety of human beings and pollution free environment is given priority it has become necessary for companies and government to control emissions resulting from vehicles. Hence companies are moving from traditional fuel using cars/trucks to the vehicles running on batteries.

Batteries at this critical point of time are often facing multiple failure issues.

A battery when faces such failures, the battery prediction model accurately predicts the possible reason of failure using the AI/ML algorithm thereby removing the necessity of dissembling a battery to identify the cause of failure.. It also helps to send the report to developers who can act immediately. This cycle process duration can be reduced by 95%, and total transportation cost incurred, domain expert’s dependency can be reduced at a greater level with an accuracy of 85%.

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Over the past few years, AI has slowly trickled into domains which once were considered solely driven by human beings. One such area in an organizational set up is the HR and Recruitment department. This is a unit where Artificial Intelligence can potentially be used to accelerate and assist the human effort.

From candidate acquisition to scanning resumes, to improving employee engagement and answering real-time questions at large, AI has the potential to revolutionize HR Industry. Today, employers like Google, Cisco, PepsiCo, Amazon along with major staffing agencies or TechHR startups are testing and adopting data-driven, predictive tools for better the hiring process.

Recruiting is rarely a single decision as it is a series of smaller and sequential decisions. Recruiting has slowly become a digitized experience as candidates are connecting through mobile platforms. AI-powered technologies are much helpful at reducing the time spent on repetitive tasks and finding multiple patterns in large sets of data.

Major Areas Where AI Is Contributing To Recruiting Process

• Attracting talent and screening a number of resumes
• Reduction of bias and promotion of diversity
• Responding to applications and answering candidate queries
• Detect attrition patterns
• Schedule management

Varied Applications Of Artificial Intelligence Used In HR Process

• Using Intelligent screening software and recruiter chatbots/assistants
• Conducting interviews in a digitized way and programmatic advertising for more effective targeting
• Using the employee value proposition (EVP) personalized for the candidate outreach
• The democratization of resumes and AI evaluating candidates in the interview process
• Candidate engagement and Upskilling for job-seekers
• Automation of high-volume tasks like Contract Management

Many Indian companies, especially large corporates in the technology, banking, and ITeS sectors, have started using AI-based chatbots to screen candidates and manage talent. Human error in the hiring process can inhibit diversity on teams, and as companies shift towards using artificial intelligence in hiring, algorithmic bias can as well. So, here we list some international and Indian companies using AI in their recruitment and how startups are helping them to use AI.

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The universe enormous organizations are using Chatbot to improve obligations and services. Utilizing the advanced technologies like Artificial Intelligence and Machine Learning, “Edubot” is education institutions related Chatbot which interacts and assists the customers to provide instant information on various queries.

Now a day, it’s very difficult to stand in a help desk lane to get the information from schools and universities. By using Edubot will get a quick response at any time and any place just by surfing on a school’s website. Edubot is very much helpful to assist customers if they need any information which is related to Courses and Curriculum.

Edubot offers an ingenious solution to accomplish a new level of interaction with customers and wrap up the everyday assignments and cut down the extent of work for Admins and Faculty.

Key Features:

• Edubotwill give information about the school and also give a reply to questions asked by the visitors on the school website
• Provides 24X7 services to everyone at any timeand will interact with different customers at the same time
• It will add revenue to the school/Universities by reducing human resources
• Understand the behavior of the end user and provides a solution
• Enabled voice recognition for a quick response
• It provides “click button” system to navigate the users query in an easy way
• Provides the best recommendation to the students with best career advice
• Our Edubot is an end to end secured and encrypted
• Edubot will cut down on human errors, this makes a huge asset for the institutions and information seekers
• Provides great customer satisfaction by quick access through Edubot
• Edubot is a customer friendly bot, you never face any bad attitude, weird or angry response from it

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World is moving at a faster rate than expected. Many things are changing right from the way the items are manufactured to the way they are sold. Technology is the key ingredient without which the customer satisfaction and clients’ growth are impossible.

MobiWeb Analytics of Innodatatics provides a sophisticated way of leveraging technology with the current world trend, to draw many actionable insights for the execution of quick and clear decisions. Our state-of-the-art advanced algorithms of MobiWeb Analytics take into account the information pertaining to google analytics, transactional data, data from social media etc., build predictive and descriptive models that amplifies customer satisfaction and improve sales.

The reputation of an organization depends upon the time and quality it maintains in dealing with the customer. The service level agreements, quality and responsibility associated with the services, play a significant role. In general, each and every ticket is crucial and requires equal attention and focus. With improper knowledge base and improper diagnosis, there are chances of escalations, which will in-turn dent the reputation of the company/department.

Service Desk Automation, with its sophisticated algorithms and machine learning techniques automates as the below:

Digitization is penetrating into the remote parts of even the third world, in the recent times. With the advent of advanced technology and digitization, the data that is getting generated is very huge and the number of hands asking for queries on customer product/services is increasing at a very rapid pace. Keeping the current and future demand in mind, it will and is becoming a challenging task for the clients to satisfy their customers in responding to their queries.

Chatbot is the product that eases the life of the customer care by

To every organization, servers are the heart of their operations and day to day activities. In this competitive world, even the startups with great ideas are competing with the big giants. Eventually a simple mistake can divert the mind of the customer to switch to another vendor

Service Log Analytics helps