the scariest virus which is spreading fast worldwide since its detection in ChinaBig Data

How is China tackling CoronaVirus (COVID-19) using Artificial Intelligence (AI)?

CoronaVirusthe scariest virus which is spreading fast worldwide since its detection in China. There are victims from different parts of the world who are affected by this mysterious virus.

Many health care organizations and centres declared it as a significant emergency. Most of the countries are trying to win over this, and there have been many quarantines, lock-downs on significant cities, limits on travel, and accelerated research on vaccine development.

Amid this, emerging technologies like Artificial Intelligence and Machine Learning are helping the corona outbreak. There are various important use cases of these critical technologies helping to detect and fight with the coronavirus.

Artificial Intelligence (AI) to monitor the outbreak Analytics

AI is all about analytics. It can be used to identify the disease and forecast the nature of spread. Some companies AI algorithms helped in finding and analyzing through multiple resources such as news, social media platforms, and government documents to predict the outbreak.

To help diagnose the Coronavirus on CT Scans

Since this virus is spreading like wildfire, AI developer launched a solution in China to help clinicians detect and monitor the diseases in an efficient way, which reduces the waiting time of patients. 

Sterilization Robots to help cleaning the coronavirus quarantine wards

There is no cure found yet for this mysterious virus,  even the doctor and family members of a patient, are finding it hard to enter the wards. So to overcome this, “Autonomous sterilization robots” are launched to help hospitals in quickly moving in quarantine zones to sterilize viruses without human intervention. A robot developer from china deployed 10 disinfection robots across major hospitals in Wuhan.

Processing claims for the administrative paperwork processing

To facilitate every patient and to speed up the admin process, block-chain powered services are used in hospitals that are being helped in the processing of claims and reducing the need for face-to-face contact amidst the coronavirus outbreak.

 Drones to offer aerial delivery of medical supplies in virus outbreak areas

Drones are considered as the fastest and safest means to transport supplies during disease outbreaks. An AI startup based in Singapore launched the first “‘urban air transportation channel,” which delivers medical supplies for the people of Zhejiang and the county’s disease control centre, which is the most severe coronavirus hit the province.

 Chatbots to pass along the alerts and communicate regarding the coronavirus

Chatbots are always great in providing effective information instantly. A startup from Japan launched a Chatbot that can be accessed through a mobile App, for travellers to update on the latest number, effects, causes, symptoms, preventative measures, and treatment procedures on the coronavirus outbreak.

Meanwhile, China’s tech leaders Baidu, Alibaba, and Tencent also joined the tech revolution on the outbreak.  Baidu has open-sourced its RNA prediction algorithm LinearFold, which helps researchers accelerate the time taken to predict the viruses.

Alibaba launched a new AI-based system to detect coronavirus infection via CT scans with an accuracy of up to 96% in less than 20 seconds. They also launched a feature to track individuals affected with the coronavirus using coloured QR codes.

Big Data track the cases

Big Data technology is being used to track, screen priority, and effectively forecast the development of the epidemic in real-time, which was mentioned by china’s epidemic in recent times.

Considering the faster spread of the outbreak, frontlines need technologies and tools to help in identifying, making things faster and accurate. People who consider emerging technology as a bane will now consider it a boon that is helping at the crucial times.

Innomatics Research Labs is proud and bows to each and every AI developer who is pitching in and helping china detect and handle the coronavirus outbreak.

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The revolution and segregation of Big Data in the modern era?

What’s the big deal about ‘big data’, what’s changed?

Catering on-demand video services involve handling a large amount of data, which was previously stored as gigabytes of data onto an optical disc. Big data uses the whole spectrum of data available as it transforms meeting organisational goals and service. A two-way communication over a conventional broadcast. The data helps the company identify who is watching what, when and where. Modern systems can cross-index measures of a viewer’s interests, along with their feedback. As viewers, we see the outcome of this analysis as per the recommendations Netflixmakes, and sometimes they seem odd because the system is attempting to predict the likes and dislikes of an individual in particular. The ability to understand the potential audience for a new series of Sacred games 2 depends on big data but that’s not the only way. Judiciously using data, for instance, different trailers for the series could be made available to different segments of the audience.

Big data is not all about business, though, it has the potential to understand customers and their behaviours and preferences, animate a still photograph, perform diagnostic analysis, predictive analysis, prescriptive analysis, monitor responses of a campaign and find out segments which respond most and least. These analysis are pivotal for running a business.

Don’t doubt it – big data is here to stay, making it essential to understand both the benefits and the risks.

Data ever since had been a backbone of civilization, as it evolved in the 17th and 18th Century but was restricted by the narrow scope of data available. Now it’s readily available and opening up a new world.

Tech giants like Amazon, Inc., a Seattle, Washington-based, the largest e-commerce marketplace and cloud computing platform in the world uses big data to identify personal interest by what a customer
previously likes specifically items which a user potentially might want to buy.

Amazon’s version of big data can be described in terms of data management challenges that – due to increasing volume, velocity and variety of data – cannot be solved with traditional databases. As the column says the important concept is commonly known as “three V’s” of big data.

Volume: Ranges from terabytes to petabytes of data
Variety: Includes data from a wide range of sources and formats (e.g.
weblogs, social media interactions, e-commerce and online transactions, financial transactions, etc)
Velocity: Increasingly, businesses have stringent requirements from the time data is generated, to the time actionable insights are delivered to the users. Therefore, data needs to be collected, stored, processed, and
analyzed within relatively short windows – ranging from daily to real-time

Amazon boasts with different tools which itself addresses the entire data management cycle, big data technologies make it feasible, not only to collect and store larger datasets but also to analyze them in order according to the data flow.

Collect. Collecting the raw data – transactions, logs, mobile devices and more – is the first challenge many organizations face when dealing with big data. A good big data platform makes this step easier, allowing developers to ingest a wide variety of data – from structured to unstructured – at any speed – from real-time to batch.

Store. Any big data platform needs a secure, scalable, and durable repository to store data prior to or even after processing tasks. Depending on your specific requirements, you may also need temporary stores for data-in-transit.

Process & Analyze. This is the step where data is transformed from its raw state into a consumable format – usually by means of sorting, aggregating, joining and even performing more advanced functions and algorithms. The resulting data sets are then stored for further processing or made available for consumption via business intelligence and data visualization tools.

Consume & Visualize. Big data is all about getting high value, actionable insights from your data assets. Ideally, data is made available to stakeholders through self-service business intelligence and agile data visualization tools that allow for fast and easy exploration of datasets. Depending on the type of analytics, end-users may also consume the resulting data in the form of statistical “predictions” – in the case of predictive analytics – or recommended actions – in the case of prescriptive analytics.

As per sources, there have been, more data created in the past two years than in the entire previous history of the human race.

1. Worldwide Big Data market revenues for software and services are projected to increase from $42B in 2018 to $103B in 2027, attaining a Compound Annual Growth Rate (CAGR) of 10.48% according to Wikibon.

2. Data is growing faster and there has been a rapid growth of about 1.7 megabytes of new information created every second per human being on the planet.
3. In Aug 2015, over 1 billion people used Facebook in a single day.
4. By 2020, we will have over 6.1 billion smartphone users globally.
5. By 2020, at least a third of all data will pass through the cloud

6. The Hadoop market is forecast to grow at a compound annual growth rate of 58% surpassing $1 billion by 2020.
7. Retailers who leverage the full power of big data could increase their operating margins by as much as 60%.
8. Estimates suggest that by better integrating big data, healthcare could save as much as $300 billion a year — that’s equal to reducing costs by $1000 a year for every man, woman, and child.
9. According to Dell Technologies, the introduction of 5G networks will have us “livin’ on the edge,”

 

 

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