Tuesday, July 21, 2020

ARTIFICIAL INTELLIGENCE & MACHINE LEARNING DURING COVID-19


INTRODUCTION
Artificial Intelligence (AI) and Machine Learning (ML) are the current buzzwords in the technology sector. They are not exactly same, but used synonymously by many. Both terms emerge around the subject: Analytics, Big Data or latest technological changes that are transforming our world.

AI (Artificial Intelligence), in a broader view is making machines capable of carrying out tasks in ‘smart’ moves. ML (Machine Learning) on the other hand, is an application of AI where machines can have access to data and are permitted to learn by themselves. Through ML and application of data, program can accomplish defined tasks. At present, our world is going through its worst times, since World War 2. Dealing with Covid-19 pandemic is proving to be one of the most difficult and biggest crisis of all time. In India alone, this rapidly growing disease has already infected more than two lakh people. In such a scenario, AI and ML can play a major role finding solutions to arising issues, strategically. How? Let us look at some of the areas where AI and ML can be helpful

MONITORING SOCIAL DISTANCING AND DETECTING FACE MASKS


As per COVID-19 disease control agencies globally, wearing masks and maintaining social distance, are currently the best preventive measures against the fast spreading of COVID-19. Machine intervention can aid in ensuring these measures are practiced well.

 In some Indian states, police are using AI, from facial recognition technology to CCTV camera-based system to track down people who are not wearing masks or are not adhering to social distancing advice in public places like streets, buses, trains or airports.

 Public places like supermarket aisle may be congested and people may violate social distancing norms without even, realizing it. With the help of AI in such areas, aisle traffic can be changed in real times and hot spots can be identified. Products can be re-distributed to avoid crowding at one place and number of cashiers can be varied as well, to deal with long and slow waiting lines.

 Customers can also benefit by learning about the least crowded time to shop, another example where run-time data can be processed and made available as useful information by AI. This helps in reducing chaos and improving convenience. Similarly, face Masks can be detected via ML enabled CCTV cameras. Such cameras can be used by authorities, to help monitor places where wearing masks is highly recommended or mandatory. All, in all, this can definitely play a good role in reducing the risk of Covid-19 contamination and providing convenience to customers and vendors.

MARKET ANALYSIS


AI and ML help to predict market trends in the future, like the potential for e-commerce and through this, several companies have seized fresh business opportunities in the Covid era. They provide valuable suggestions to customers, seeking essential products like sanitizers, gloves, shields, PPE kits etc. Likewise, its recommendation engine gives insights to customers on wide variety of other useful products such as hand washing soaps, facial masks, sanitizer machines, etc. Not only this, AI helps these companies to keep a track of inventory levels, maintain database about what all is in stock and identify if there are any shortages in supply chains, to cater to the special needs in these difficult times.

FORECASTING OF COVID

ML technology enables computers to mimic human intelligence and ingest large amounts of data to identify insights and patterns quickly. Using MI and AL, researchers are able to forecast projections of COVID-19 trends. A Google-owned machine teaching community, Kaggle has set up several COVID-19 challenges to its members, such as forecasting number of fatalities and cases by cities and states to identify which areas will be worst hit. The use of AI can be seen across countries, where special applications have been developed to provide statistical predictions in near future. Besides, broadcasting important updates in combating this virus, these ML driven apps are also tracking movement of affected Corona virus patients and raising alarms to others in their vicinity. In India, Aarogya Setu is an open-source cross-platform CoVID-19 "Contact tracing, Syndrome mapping and Self assessment" digital service, primarily a mobile app, developed by the National Informatics Centre under the Ministry of Electronics and Information Technology


ASSISTANCE AT AIRPORTS

Airports are using AI and ML to combat risks of spreading Covid-19 starting from pre-entry processes like thermal screening of passengers and crew, and issue of a boarding pass by robots to facial recognition at self-service kiosks and check-in process. AI also helps set up a virtual help desk and Chatbot to guide travellers and to enhance logistics operations. In addition, tech experts are working on the automated alarm options for health screening at checkpoints. Such technologies reduce unnecessary interaction between passenger and operator, thereby reducing queue times and enhancing efficiency.

FOR HEALTHCARE

In the fight against COVID-19, AI offers a vital arsenal of weapons. In the health care sector, it permits predictions to be made about the spread of the virus, helps diagnose the cases fast and measures accurately the effectiveness of countermeasures. AI helps in early detection & epidemic analysis, measures for containment, designing health care operations as well as R&D for making vaccines.

Monday, July 13, 2020

What are the Perks of Using Machine Learning Solutions?


 More and more businesses are embracing advanced ways of working. In any zone, machines are playing a significant role. You can easily find a great productivity out of these machines. These ensure that you get the premium outcomes.



Businesses opt for machine learning through Machine learning solution providers and ensure that their business has high level of productivity.   As the consumer market is already swarmed with highly advanced artificial intelligence and extreme machine learning products, various businesses are just beginning to embrace these technologies. In case you haven’t tasted the overabundance of these machines and their solutions then you must go for it now. It is never too late to hold the options that turn out to be a wonderful boon for you. It is irrefutably true that in this present era, businesses can conveniently stand out from their competitors by offering advanced intelligent solutions.

The practice of machine learning is no longer a rare concept for businesses. No matter you has a tiny business or that of a Fortune enterprise; the chances are that you might take advantage from nuances of Machine Learning. There are manifold of ways in which both small and large companies can make the most of these machine learning tools.

In the realm of business applications, machine learning techniques can be used to do tasks like:
  •          Establish more accurate assessing models
  •           Notice network interruptions
  •          Generate real-time targeted advertising on sites
  •          Notice and dodge fraud in real-time
  •          Reach the record sales via the recommendation engine deployment
  •         Augment demand forecasts in retail


However, it is even crucial to know that   machine learning is not a solution for every type of issue. There are different instances wherein vigorous solutions can be established that too without making use of machine learning methods. For example, you don’t really need machine learning if you can define a target value by making use of  just ordinary rules, calculations, or even that of prearranged stages that can be automated in the absence of requiring any data-driven learning.

One might Use machine learnings at the time of:

Various human endeavours like finding out whether a mail is spam or not) might not be sufficiently solved by using a simple   , rule-based solution. A massive number of factors could influence the answer. When the rules depend on too many factors and myriad of these rules overlap or require to be tuned extremely finely, it soon becomes challenging for a human to properly code the rules. You can easily make use of machine learning to efficiently solve such a problem.

Then you might be in a position to manually recognize a few of hundred emails and decide whether these are spam or not. However, such an endeavour becomes tedious for millions of emails. Machine learning answers or solutions are powerful at tackling with large-scale problems. Once you have machine learning working for you, it gets convenient for you to tackle with everything.

Conclusion

So,  pick a machine learning development company India and ensure that you have the best for your business. ML is not going to leave you disappointed.