AI or Artificial Intelligence has changed the world in ways that we couldn’t have even imagined. Such unpredictable and quick growth of AI in various sectors has led to the usage of innovative technology on a greater level. However, the one sector that seems to have benefited the most is healthcare. Did you know that the global revenue for AI in the healthcare industry is expected to cross USD 45.2 billion by the year 2026? 

Different ways AI is changing the healthcare market

With the assistance of AI, both patients and doctors have gained a wide array of benefits. Check out the five different ways that AI is transforming the healthcare industry as we know it. 

• Medical diagnostics

Infusing AI in diagnostic machinery has improved the chances of getting accurate results to a great extent. It has essentially eliminated all the shortcomings. It has also made it easier for doctors to come up with a suitable treatment plan. With deep learning codes and algorithms, it is now easy to differentiate between clots and tumors. Moreover, this has led to the reduction of medical diagnostic errors by almost 50%. Furthermore, with smart diagnosis, healthcare is expected to improve even more. 

• EHR or Electronic Health Records

The manual handling of patient health records is a tedious and time-consuming task. With a comprehensive volume of paperwork and the effort needed to ensure there are no errors, EHR has surely changed the scenario completely. Electronic Health Records or EHR automates the recording process with ease. With AI, it is now easy to identify the voice and interpret different languages. It leads to the saving of time and effort. Now, it is easy to gain access to information such as allergy details, medical history, etc. 

• Digital assistants

Following up on appointments is not difficult anymore. It is understandable that doctors work round the clock tirelessly to offer healthcare services. With virtual nursing assistants, you can now ensure that you get the basic check-up. The AI-based systems will ask necessary health questions and then make a diagnosis depending on the symptoms you describe. Moreover, nowadays the chatbots can even assess handwritten images and texts without any issue. 

• Surgical robots

AI-based robots have aided surgeons in operations successfully. Now, robots can ensure that there is exceptional precision while conducting surgeries. With these robots, patients can now expect better outcomes due to the availability of data. Fewer errors and increased efficiency make it easy for surgeons to treat patients. Moreover, it also offers real-time data to healthcare professionals during complex surgeries. Now, doctors don’t have to worry about trembling hands. 

• Virtual consultation

With AI, digital consultation is easy and simple. Now, patients can interact with doctors without any hassle. Deep learning ensures that the user can make accurate decisions. Moreover, with the natural learning process, AI can help in answering the various queries of the patients. With the understanding of complicated sentences and other information, the virtual system can offer a genuine medical suggestion. 

Conclusion

It is without a doubt that AI has changed the healthcare industry massively. Now, medical professionals can opt for suitable treatment plans with the assistance of advanced diagnosis. Moreover, patients no longer have to wait in hospitals just to make appointments. With Chatbots and other technological innovations, patients can easily interact with healthcare professionals in times of need. Want to know more details about how AI can help your business to grow? Get in touch with our in-house AI experts at GoodWorkLabs, who will guide you through the benefits AI can bring when incorporated into your business processes. Contact here!

Well, the last decade has given us a fair idea of what Artificial Intelligence can do and how unknowingly we have made it an integral part of our everyday lives. From smartphones to computing systems and the various gadgets we use in our day-to-day lives, AI has given mankind technological comforts that were unknown before. Even during the ongoing pandemic and its challenges, AI plays an important role in the medical diagnostic systems with robots assisting in medical procedures.

As per the market researcher IDC, the revenue from AI hardware, software, and services was expected to reach $156.5 billion worldwide in 2020, hence in 2021, we can expect the numbers to surge even further. Well, this revenue growth is bound to happen, as more and more businesses are leveraging AI’s benefit to improve customer experience and increase productivity!

So, what does one expect that AI will bring to the table in the next half of the year? The last decade saw Artificial Intelligence being introduced in the industry at numerous segments at a rapid pace. In this article, we will discuss the emerging AI trends that will impact the market in 2021 and in the coming years. Let’s delve further into it –

Upcoming AI Trends in 2021

Businesses are to undergo ‘Digital Transformation’ by accepting AI

While the pandemic has already accelerated the adoption of technology, AI tools are in place to help businesses understand their consumers better. With concepts such as behavioral analytics and personalization, the businesses will seek to establish themselves further. Tools providing organizations with self-service access to this technology will become increasingly prevalent throughout 2021, as small and medium-sized enterprises are seeking to establish their competitive edge.

AI will be pushed to the edge by organizations

Over the years, consumers are readily adapting to the IoT devices and now it has become a part of life along with increased use of 5G adoption. This will further give a push to edge computing and AI will be better utilized at the edge. The combination of AI, IoT along with edge computing, will bring further fruitful insights from a large amount of data that will help the enterprises to make learned decisions.

 ModelOps will play a major role in AI deployment

Organizations have come to know that developing the right AI engineering process is essential. Ai engineering consists of DataOps, ModelOps and DevOps. In it, ModelOps helps businesses to operationalize their AI models efficiently and deploy them via the Cloud. This year will see more organizations focusing on effectively moving their AI models up with ModelOps to strike that right balance.

AI will find its way into Cybersecurity Processes

Merging AI and Machine Learning with cybersecurity systems will be dominant in the coming times. With the increase in the number of internet users, upscaling the cybersecurity game is the need of the hour. AI and ML technology can help to identify current as well as future threats. The AI embedded cybersecurity tools can collect data from a company’s internal systems, as well as from external sources, and thereby identify threatening activities. Ai is also being largely used in home security systems nowadays.

Workplace AI will boost automation and augmentation needs

As per Forrester’s predictions, more companies will look to AI to help with workplace disruption for employees working from home. This will also include applying AI for document extraction, customer service agent augmentation, etc. Organizations need to apply AI in both short-term and long-term goals in the years to come to leverage full benefits.

AI-powered chatbots will become dominant

Researches say that AI-based chatbots provide communication that is similar to humans by using natural language processing (NLP) and Machine Learning.  AI-powered chatbots are already being used, but this year will see huge upgrades and improvements in its responsiveness and personalization of the customer experience.

Organizations will move towards AR-driven automated decision-making

This year will see an increase in the availability of real-world simulations. As technology and mechanisms in the digital domain have improved, accurate data has become increasingly available. Simulations have leveled where huge data can be accessed in your system without any change in location. This leads to huge reductions in cost along with an increase in the quality of data that can be gathered.

Wrapping Up

This pandemic has created a sudden surge in the use of technology and further as reports suggest, AI will be one of the most important technology in 2021. It will also adjacently have a sound impact on automation, robotics, and machine learning. So when are you leveraging the benefits of AI? Consult our team at GoodWorkLabs for AI solutions. We will introduce AI into your business systems! Contact now, here.

The popularity of artificial intelligence and machine learning has made most of us aware of these technological jargons. We are in a world where we come across these technologies on a daily basis, and they have become a part of our lives. But little do we know the details about it and unknowingly we have made it a part of our lives. From tech to voice to face enabled devices, we all have witnessed a dramatic evolution of technology in the last decade. It did not only contribute towards the transformation of the internet and software industry, but also the lives of individuals. Technologies related to AI and ML are expected to grow in the years to come. Even many social media platforms are today investing an ample amount of money in the development of AI techniques to keep their audiences hooked to the platform. Over-viewing the mobile app industry, it is not a hidden fact that today most mobile applications are built on AI and ML technologies. As the mobile applications do the works of a mini-computer in our hands, it is necessary that it has all the functions that are needed for all our activities – shopping to dating, food to fashion, traveling to surfing, etc.

As per the report by Statista, the global artificial intelligence market is expected to grow greatly by generating 118.6 billion in revenue in 2025. Viewing that, the future of AI and ML technology looks very promising. Therefore, it is a great time to incorporate some AL and ML techniques in your mobile application. This will not only enhance the functionality of your application but also make it feasible for your audience. GoodWorkLabs, the renowned software development company will incorporate AI and ML into your business process to take your business to the next level. Let us look at how two of the leading AI and ML techniques can help build a trending mobile application:

Predict User Behaviour 

With AI technology your customers get the suggestions, recommendations, and notifications of the products they have engaged with on the application.  This is the ideal tool for ecommerce companies as it helps in boosting sales. So what exactly does this? The application knows what the customers are looking for, what they like and what they don’t, what excites them, and what makes them add the items to the cart. Well, you must have got it by now, it is AI and ML.

AI and ML mobile applications developed by top AI and ML app developers help businesses and their marketing teams to understand customer behavior and psychology. The insights drawn provide information on customer choices, preferences, buying patterns, and budgets by capturing data such as age, location, gender, buying frequency, spending capacity, etc. It is the perfect integration of in-depth data learning and observing the user behavior across all devices that help create a 360o view of customers. The data so collected enables the brands to approach each customer group and deliver products that perfectly fit their individual needs.

Virtual Assistants 

Hey Siri! “Play a song for me” 

That is how we connect with our smartphones these days, don’t we? Siri, Alexa, and Google, all are changing the digital way of communication with our phones and mobile applications. The technology helps you use your phone or a mobile application while you are performing some other task. It has made the user experience much seamless and fruitful.

This technology has further strengthened the trend of online shopping. Today, 95% of online shopping in the world is made through voice commands and that shouldn’t be a surprise. Industry to industry, virtual assistants are greatly impacting and disrupting the way consumers purchase and retailers sell/market.

Are you still wondering how can you invest in AI and ML? Lets us connect to build your brand image by incorporating AI and ML in your applications. Our expert team at GoodWorkLabs will understand your requirements to help you with an AI and ML-based mobile application. Connect with us at contact@goodworklabs.com.

Artificial intelligence (AI) is the most revolutionary technology in today’s world and has the ability of machines to interpret data and act intelligently. AI can carry out tasks, based on data, similar to how a human does it.  We use AI in our daily lives, such as asking Alexa for the weather report and even social media platforms rely highly on AI. buying something that Amazon recommends, and unknowingly we have made it a part of our lives.

Large corporations have already leveraged AI but the major challenges come for the small and medium-sized enterprises. In the coming days, AI is bound to play a dominant role in our lives. Many artificial intelligence companies have understood AI’s potential, and have incorporated it.  GoodWorkLabs, an artificial intelligence company in Bangalore has a team of experts who are skilled to incorporate AI into your business systems.

You must be thinking, why should your business embrace AI, and how it will help you?

Here are the top five benefits of AI that makes it beneficial for businesses around the world – 

1. Automates Customer Interactions

AI enables companies to automate any repetitive tasks many customer interactions that require human intervention. Artificial intelligence companies leverage AI to program the computer so that it responds to customers by using previous details accurately. This includes communicating via email, social media conversations, telephone calls, and online chat. Furthermore, by combining AI with machine learning, the platforms interact even better. Thus the regular tasks that can take up a lot of time and workforce are simplified by leveraging AI in the business process. 

2. Gives personalized solutions

AI helps in personalized marketing and gives preference to each customer.  A personalized approach to consumers increases engagement, customer loyalty and results in brand promotion and improving sales. AI also helps to identify patterns in customers’ buying habits and behavior. This further allows companies to craft specific offers for individual customers. Cloud-based AI apps can even find out relevant pieces of information while processing big data. 

3. Stay ahead of the competition

With AI becoming a part of our daily lives, every business in the coming days will implement it and AI will become a more affordable and common technology. So now is the right time for your business to implement AI It will not only give you immense benefits but also will attract customers to your business and build your brand.

4.AI will help in conducting market research

As AI has the ability to predict outcomes based on data, it will help in both the present day and for future needs. By implementing an AI strategy in your market research, businesses can benefit from the data procured of the market trends. If you want your business to stay ahead of the competition, you must implement them and use AI to grow.

5.AI fuels other technology trends

AI is the base on which various other technology trends are built, such as virtual reality, chatbots, facial recognition, autonomous vehicles, etc. Without AI, all these advances were not possible. AI, along with machine learning, has brought about a significant change in the technology industry. 

Now Use AI In Your Business Process. Contact GoodWorkLabs

Whether you are in the eCommerce business or any other product or service-related work, you must know how AI can help you succeed further.  Talk to our experts and understand how artificial intelligence can help you grow. GoodWorkLabs, a renowned artificial intelligence company in Bangalore, will help you figure out where to apply AI. Shoot us an email at – contact@goodworklabs.com to discuss further.

Hit by a pandemic, we all have changed the way we have been working and prioritising work. Almost all the businesses in the world have changed their work approach and business model to fit in the new normal in the past few months. Understanding the gravity of the situation, many corporates are now providing a helping hand to the government, health-care institutes, and the public at large by helping them fight COVID-19 in one way or the other.

GoodWorkLabs, a world-leading technology organisation based in Bangalore, India and San Francisco Bay Area, USA has always been committed to helping businesses solve complex problems using technology. During these unprecedented times, we have pledged to help create sustainable and affordable tech solutions to fight the COVID-19 crisis. Being a futuristic tech company, we are looking forward to partnering with businesses/ startups to create effectively-designed tech solutions to combat the COVID-19 problems that the world is facing today.

We believe that even if the technology cannot prevent the onset of the pandemics, it can, however, help prevent the spread of infection, educate, empower, and warn people around. We can help businesses and start-ups optimise the trending technologies to fight COVID-19 – application development, cloud, IoT, big-data, AI/ML, etc.

Mobile Application Development: 

GoodWorkLabs is one of the leading app development company in India. We are known for developing cutting-edge mobile applications and games on all major platforms – iPhone, Android, and Windows. With the hands-on experience in the app development industry, we have helped businesses and start-ups leverage their presence in the app store markets.

During the pandemic, the developers at GoodWorkLabs are highly motivated to use their talents and ideas in building an innovate mobile application that can help end-users be aware and safe during this pandemic.

Artificial Intelligence and Machine Learning

GoodWorkLabs comes with a vast experience of setting up an advanced centre of big data, AI, and ML technologies. We have worked with clients ranging from Start-ups to Fortune 500 companies to develop unique and helpful solutions using these technologies. We believe that big data, AI, and ML can transform business and its operations in the near future. Understanding the nuances of AI, ML, deep learning, language processing, and big data, we ensure to create solutions that are powerful and reliable backed by minutely detailed data.

Cloud and Internet of Things

At GoodWorkLabs, we have a dedicated and most skilled IoT app development team which is committed to delivering products and applications that bring change in the current times. Over the years, we have supported clients from India, the USA, and Europe in the optimization and automation of the IoT products. Seamlessly delivering the effective and ahead of time IoT products and applications is our key focus area at this moment.

Observing the current world crisis closely, we believe that the world has now truly understood the importance of digital readiness. The acceptance and usage of these digital technologies will help us be aware, ready, and fight the current and future pandemics. It is essential for the companies, corporates, and start-ups to focus on building necessary digital infrastructure and help the community and people stay safe and aware. We are in the times when we should take an approach where technology is used for people-centred problems.

In this regard, we are looking forward to partnering with businesses/start-ups to create effectively-designed tech solutions that combat the COVID-19 problems the world is facing today. Let us together make a difference and enable a COVID free world! Connect with us at contact@goodworklabs.com or call +91- 9863077000 and read about our service offerings in detail here.

This new AI-based Internship Recommendation System can be a Game Changer

Technology has become synonymous to simplification. There is no denying that all the gadgets and tech have made our day to day life easy and simple. It keeps getting better, as technology is advancing and evolving in leaps and bounds. The world has very much entered the age of Artificial Intelligence with voice-controlled smart assistants like SIRI, Google Assistant, Alexa, Bixby, Cortana, and the likes. These allow us to enjoy the perks of a personal assistant without having to keep one on the payroll.

There is still a lot of work going on AI. Techies are trying to implement it in all the sectors and a new idea has emerged that speaks of an AI-based internship recommendation system. It has been developed by the researchers at Universitas Pendidikan Ganesha, Indonesia, and the tech world is already buzzing with excitement.

This AI based recommendation system can assign or get the best internship placements for the students matching their knowledge, skills, and goals.

The Internship Dilemma

Students spend years studying and acquiring degrees, all the while building their resume step by step for the ultimate goal of getting the dream job. Many take up different courses to forge their skills. All these add up to a strong resume to woo the recruiters. Now, we all know that the rite of passage from being a student to a full-time employee is getting an internship.

An internship is where you learn the tricks of the trade from your predecessors in the field. It is a great way to get into the groove of a working individual leaving the student life behind. That’s why every student aims to land a good internship in the final stages of their education. The experience not only helps them to build a career but it also gives a boost to the resume.

Besides that, it also helps in understanding whether a certain line of work will suit one well or not. It often happens to people who get a job without first doing an internship. After a few days, they might feel that the sector or work is not suitable for them. It is easy to leave an internship but not when it comes to resigning from a job. Hence, the end result is a bad start to the career, which can either slow a person’s growth or derail them from their initial goal eventually. So, the career chart should have three stages i.e. student then intern and finally a professional or employee.

Though an internship is very important, getting one becomes a hassling process. Not all universities guide their students or provide them with internship placements. For average students, it takes a lot of net searching, going to job fairs, etc to finally land a good internship. Even then one might find the place not suitable for him/her. In such a scenario the AI tech developed by Universitas Pendidikan Ganesha can be of a blessing to students to land the perfect internship that matches their profile.

Let AI get You an Internship Placement

The researchers from this University in Indonesia came up with a brilliant idea to solve the internship dilemma of students. They started to work on a recommendation system that will help the students in their graduation year to find the best-suited internship placement for them. It is totally AI based that makes it all the more interesting.

The system developed by them utilizes a recurring artificial neural network (ANN). It is called the Elman neural network. Their system’s job is to assess the student test results and use it to choose the internship placement which is the best match for their skills.
The students are required to give two tests. In the first one, they have to give sufficient information about their grades, knowledge, skills, goals, and likes. The second test is known as the Inventory Personal Survey. Here they have to answer a few questions that will reveal their behavior and overall attitude.

The researchers explained that the students need only to take the test and answer the questions. After that, the results of the test gets processed and analyzed by the artificial neural network or ANN.

The Development Phase

In the development phase, the university researchers ran many tests on the system. Sample information was collected from graduate students who wanted to apply for an internship after studies were over. The system was trained and tested in various ways with the help of the data collected from the students.

After running the assessments they were able to come up with great results. The system developed was able to achieve a 95 percent accuracy level. In all those cases the students have suggested internship placements that were ultimately given to the particular students by the University using the usual manual methods.

According to the researchers, the AI based recommendation system can identify both training and the testing data. This observation was based on the results of all the tests run by them in the development phase. They further clarified that the system can recommend internships like administration jobs, networking, software, etc to students who already in the lookout for internships based on their education and skills.

It is Just the Beginning

This AI based recommendation system can have great use to the management and staff of Universitas Pendidikan Ganesha. It can help them provide internships to students who are seeking it in a faster and more efficient way. It is also highly beneficial to the students as they will get the best places to learn the job from.

To see whether the system works with the same efficiency for a larger population of diverse students, the researchers will have to run more tests and study it further. For that, they will need a huge training dataset.
As of now, they have only used the system to get placements for students who are in the field of informatics. However, they believe that the technology can be further extended to other streams as well.

Nonetheless, this new AI-based internship recommendation system can be a game changer in the field of education and placements. That will be beneficial to both the institutions as well as the students.

If you have any unique idea as such that needs AI based recommendation system, please reach out to us. GoodWorkLabs has a dedicated team of experts to deliver such power-packed solutions for all kind of businesses.

Artificial Intelligence is a part of our day to day lives.

Advancement in the field of AI might be the latest buzz in the tech world but AI in itself is not the new kid in the block. The first instances of AI can be found back as late as the 1960s. It was during this time that researchers and experts of cognitive sciences and engineering first started to work on a smarter and more responsive technology.

The idea was to create a computing language that like humans could learn, reason, sense and perform. With the advancement in AI, a subfield came to the forefront which we call the ML or Machine Learning.

It developed as researchers started to use numerical strategies coordinating standards from optimization computing and statistics thus teaching the programs to perform the jobs naturally by processing the data at hand.

Since then a lot has happened in the field of AI, especially in recent years. Artificial Intelligence is involved in our day to day lives. Some of the notable works remain to be gaming and transportation sector being driven by computer vision and planning and phone-based conversational apps that operate through speech processing. Besides that, we have also seen significant progress in works like language procession and knowledge representation as well.  

In this write-up, we will focus on the advances made by AI and Machine Learning in the Medical field. We will discuss the various ways in which we can use ML in that respect.

ML FOR DIAGNOSIS

There is a lot of scope for ML in medical practice especially when it comes to the diagnosis of the patient. Experts in the field believe that the medical imaging sector will have a significant impact. For example, ML algorithms that can naturally process 2 or 3-dimensional scans to confirm the condition and follow up with the diagnosis. Often these algorithms use deep learning to influence the image data to undertake the respective tasks. Deep learning is of great use in the field of ophthalmology. Recently a healthcare automation company named as the IDx developed a software that can scan images to detect signs of diabetic retinopathy. It is cloud-based software that has already received a green signal from the FDA (US Food and Drug Administration). This kind of software can be of great help in places which are low on resources and yet have a bulk load of complex imaging data to process.   Deep learning based software has also proved to be helpful in radiology as well.

DISCOVERING DISEASE SUBTYPES

The classification and description of diseases and their subtypes that are used today are solely based on the symptoms related observations that were recorded centuries ago. With the advancement in technology, the time has come to opt for a more data-driven approach for classification and diagnosis of diseases.

Some researchers have been working in this respect for diseases like allergy and asthma. They assessed the data from the Manchester Asthma and Allergy Study (MAAS). After analyzing they were able to recognize novel phenotypes of childhood atopy. They have further their research and identified clusters of component-specific IgE sensitization through hierarchical cluster analyses. This according to them will be able to detect the risk of childhood asthma more efficiently.

Experts believe that there is ample scope of using the same data-driven technology to aid in the diagnosis of other diseases as well. Using Machine Learning to detect new actionable disease subsets will be instrumental in the advancement of precision medicine.    

ML CAN REDUCE MEDICATION ERRORS BY DETECTING ANOMALIES

Fluctuating healthcare costs, morbidity, and mortality, all are the by-products of the wrong medication or rather medication errors. All these errors are identifiable through expert chart reviews, the rules-based approach of EMR screening, and use of triggers and audits of events. But all these are faced with a number of hurdles such as time consumption, suboptimal specificity, and sensitivity, high expenses, etc.

On the other hand, anomaly detection techniques that use ML start with developing a probabilistic model. This model will ascertain what is likely to happen in a given context by using historical data. By utilizing that model a new approach within a particular context will be shown as an anomaly if the probability of that happening is at a lower percentage. For example, the patient’s characteristics can be studied after the particular dose of a certain medication to understand the anomaly.   

This kind of technology is already in use. MedAware is a commercially used system that detects medication errors with the help of anomaly detection.

ML AUGMENTED DOCTOR

There is no denying that ML has great potential to alter the traditional rules and methods of clinical care. But one has to be absolutely sure about the technology used before implementing it. Using the wrong methods can be harmful and even be fatal to the patients.

Let’s take an example: Someone wants to foretell the risk of emergency admissions in hospitals by utilizing a model that is trained on past admissions information and data of patients with varied symptoms. Generally, admissions depend on the availability of beds in a medical center, medical insurance of the patient and the reimbursement. The trained model might be able to work out a population level planning of resource to use it for individual-level triage. But it can falsely identify a person and determine that he/she does not require admission. So the algorithm has to be fully tested and trained to avoid such mistakes.

Another downside of naive implementation of a deep learning algorithm in medical care is to acknowledge associations in the training datasets that are not completely related to clinical prediction. These are not even relevant externally. Methods that influence causal elements are less inclined to such overfitting. Faithful development of training datasets and various external approval efforts for each model can give some affirmation that ML-based models are legitimate. These developments need to be validated by medical data scientists so that there is absolutely no risk to the patients. ML can be used for medical care and can benefit many patients. So there is no need to avoid ML. The medical practitioners should learn to understand the idea and technology and use it for the improvement of patient care.

India’s most anticipated events of 2019 — General Elections of Lok Sabha is right here.

From political campaigning to social good, AI seems to have been actively used for data prediction & accuracy. On the other hand, New Zealand which will be hosting the election for Prime Minister in the year 2020. For this very election, Sam is the frontrunner. He has the right amount of knowledge on education, policy, and immigration and answers all related questions with ease. Sam also is pretty active on social media and responds to messages very quickly. When it comes to being compared with the other politicians; however, there is one huge difference- Sam is an AI-powered politician.

Sam is the world’s first Artificial Intelligence (AI) enabled politician developed by Nick Gerritsen, an entrepreneur driven by the motive to have a politician who is unbiased and does not create an opinion based on emotions, gender and culture.

This is just one of the many instances where AI is playing an increasingly crucial role in politics all over the globe. Political campaigns have been taking the help of AI for quite a long time now.

ARTIFICIAL INTELLIGENCE AND POLITICS

The most significant advantage of AI in politics can is its ability where it can accurately predict the future. Political campaigns make the use of machine learning, social media bots and even big data to influence the voters and make them vote for their political party.
Apart from just wins and losses on the political front, AI presents with more obvious implications in decisions and policy making. Reports claim that deep learning, an essential aspect of AI, can look after issues that relate to executing the schemes laid down by the government.

The technologies that use AI for social good are also on the rise since some time now. This is why the arrival of AI politicians is not very surprising. As to how big data and deep learning help it all out, we will be discussing it further below.

BIG DATA AND VOTER’S PSYCHOLOGY

With such a flurry of content on all social media platforms, it is understandable to get confused in determining which political leader is going to have the best interests of the nation at heart. You will be surprised to know that the leaders know how you think and also what you expect from them. Elections have a lot to do with psychology other than just indulging in political games.
While going through the Internet or mobile apps, you must have noticed that there is a pattern to the kind of videos which pop on your window. Some of these pop-ups are also related to the elections and candidates located within your vicinity. This pattern is backed up by reason.

The Lok Sabha election of 2019 may or may not play a decisive role in creating a bright future of India, but it is a witness to the fact that the use of technology is driving the people to act in a certain kind of way. It essentially is India’s big data election which is underway through several algorithms, analytics, and obviously, Artificial Intelligence.

Though they are not exactly visible in the election, they are more of the channels which are always present when it comes to tracing the online actions of voters, political messaging, customizing the campaigns and create advertisements targeted at the voters.

The Congress political party has provided all its candidates with a data docket which can track on-ground activities by their Ghar Ghar Congress app. The data dockets have information regarding households, missing voters, new voters, and even the local issues which plague the concerned constituency.

At the other end, the BJP looks far ahead in its quest to appeal the citizens to keep their party in power for another tenure. In states of the North, the party is a host to more than 25,000 WhatsApp groups. Ironically though, by the time Congress thought to compete with it, WhatsApp changed their policies, leaving the Opposition out to dry.

The optimal use of neural-network techniques, more often referred to as deep learning allows the political parties to have an unbeatable ability and have a fact-based study as to how such kind of data.

We at GoodWorkLabs are enthusiastic about creating such offbeat solutions using our expertise in AI, ML, Big Data, RPA. If you’ve any requirement which is this interesting & complex in nature, drop us a line and let us help you with a robust solution.

Artificial Intelligence to diagnose Alzheimer’s disease.

Alzheimer’s disease. The diagnosis and treatment. Artificial Intelligence. The first two phrases are directly associated with each other. Artificial Intelligence or AI, however, is closing the gap of difference pretty quickly to emerge as the technology that can detect Alzheimer’s well before its diagnosis.

Before we delve into how AI is helping out, it is essential to first know about this disease itself.  We will help you do just that.

UNDERSTANDING ALZHEIMER’S

Alzheimer’s is a dominant reason for the occurrence of dementia, which is a layman term for memory loss and various other cognitive issues severe enough to hinder a routine life. The disease is not a standard parcel that comes with aging but has a high risk of developing at an old age. A considerable part of people with Alzheimer’s belongs to a very young age group too.

The fact that Alzheimer’s is a progressive disease that does not make matters easier. The dementia symptoms gradually take a turn for the worse with time. Initially, the memory loss is pretty mild, but as more time passes, people even lose the ability to have a simple conversation and react to their surroundings.

Currently, the disease has no cure. The present treatments can only help in slowing down the progress of Alzheimer’s, but it is only temporary as the situation worsens over time.

The earliest symptom that an individual has Alzheimer’s is when there are problems faced to remember the recently learned information. It is because the disease initially affects that part of the brain which governs learning. As it grows, the symptoms become more severe like disorientation, mood swings, increasing confusion about time and events, and trouble in talking too.

Alzheimer’s disease is a focal point in today’s biomedical research. The researchers are making constant efforts to detect as many facets of Alzheimer’s and other types of dementia as possible. The most fantastic progress has provided information as to how it affects the brain cells.

ARTIFICIAL INTELLIGENCE AND ALZHEIMER’S

Some recent studies have conclusively demonstrated how AI can lead to an improvement in brain imaging to predict the earliest stages of Alzheimer’s disease. According to them, AI will be able to detect the disease in patients about six years before a confirmed diagnosis comes to the fore. It will lead to incorporating the changes in lifestyle, preparation, and methods of treatment well in advance.

Thanks to more and more innovations which help out in the early stages of Alzheimer’s, early diagnosis will mean that the patients will have more time in financially, personally and legally prepare themselves for their treatment.

With more research conducted every day, newer ways for diagnosing Alzheimer’s and dementia forms are getting tested. From brain imaging to blood tests, the hunt to find some of the most affordable ways to diagnose is on- much before even the symptoms start to show.

By the use of a usual form of brain scan, researchers were able to programme a machine learning algorithm for diagnosing early stages of Alzheimer’s as much as six years in advance before a clinical diagnosis, which will give the doctors a possible chance, to begin with, the treatment.

While no permanent cure for Alzheimer’s disease is available quite yet, some promising drugs have come into existence since the past few years which can help to stem the progress of this condition. These treatments, however, need to be administered early in the course of the disease to do some good. The race against the flow of time has motivated scientists to search for ways to help diagnose this condition much earlier.

Positron emission tomography (PET) scans, which can measure the level of particular molecules like glucose in a brain, have been analyzed as a useful tool for diagnosing Alzheimer’s disease even before the symptoms tend to get severe. And, this is a revolution in Healthcare Industry.

Glucose is like a driving fuel for the brain cells, and the more active a brain is, the more glucose gets used up. As these brain cells die out, they use less and finally, no glucose at all. Other kinds of PET scans look out for proteins that are mainly related to Alzheimer’s disease, but the glucose PET scans are cheaper and more common. This is mostly true for smaller health care facilities and also developing countries, as they also help for the process of cancer staging.

Radiologists have used the PET scans to try and detect Alzheimer’s disease by having a look at the glucose levels through the brain, particularly in the areas of frontal and parietal lobes of the brain. But because it is slow and progressive, the changes in glucose level are pretty subtle, making it difficult to spot with a naked eye.

To sort out this issue, the machine learning algorithm was applied to the PET scans to help with the diagnosis of early-stage Alzheimer’s disease with more accuracy.

For training the algorithm, images from Alzheimer’s Disease Neuroimaging Initiative (ADNI) served as the input. ADNI is a substantial public dataset of numerous PET scans from the patients who were diagnosed either with Alzheimer’s, a mild cognitive problem or no kind of disorder.

After a point of time, the algorithm started to learn on its own about the features which were considered necessary for prediction of the diagnosis of Alzheimer’s and which were not.

Once the algorithm became trained on a vast number of scans, the scientists tested in on two kinds of datasets for an evaluation of its performance. It passed the assessment very successfully, with an estimated 92% of patients who had developed Alzheimer’s identified correctly.

At such impressive statistics, this algorithm has a lot of potential to be clinically relevant. If it can perform well in such kind of tests, the algorithm can then be of use when a neurosurgeon looks at a patient in a clinic as a diagnostic and predictive tool for Alzheimer’s, proving very integral to get the patients a treatment which they require much sooner.

**We at GoodWorkLabs help Healthcare Companies develop essential Apps, Web, and Software Solutions using AI!

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Machines will take over our lives & How…

Electricity was one of the most incredible inventions of human after the fire, which changed human life in many ways. Now, after the electricity, Artificial Intelligence (AI) has drastically changed human lives. It is said that AI is yet to offer benefits to human. It was a prototype in the 1950s but has come up in many positive usages in recent times. What matters the most is the fact that we are getting encompassed with technology day-by-day and this is just the beginning of human’s much involvement in technology.

Everything has advantages and disadvantages, the case is no different for AI. The more we start making use of it, the more we will realize the negative impact of the AI. Just like when electricity is misused, we can even end up dying; AI is one of the most advanced things with its own set of disadvantages.

Setting aside the negativity, there is enough positive approach of the AI in the recent business set up. AI is said to decrease the workload and get the job done in one day which otherwise would have taken more than ten. Human intelligence created AI and it is expected to have a huge database that sets its own IQ. The evolution of the entire technology ecosystem has led to the free rise of the advanced and improved AI system that is bound to bring new changes in the present and future way of dealing with the business. Based on the ongoing trend, the future of AI-driven businesses will be something like this:

Digital business transformation

The megalith system that hid a lot of data is now being unleashed by the AI. It is bound to provide the best quality deals at an effective rate. The legacy of modernization has to lead to a lot of changes in the digitization process as well. AI is the next best option for us and so AI specialists are constantly finding a positive way out of it. There are chances that you will have to find a way to evolve your business with time on the lines of AI. The single work process is now shutting down. One business will have multiple users and multiple procedures based on the comfort of the people. With the onset of AI, the old process is going to break down or replaced by the new digital era.  

Tech democracy

The freedom to create a database of any size in today’s world has a bulk. The estimated creation of data can be taken into account of 2.5 quintillion bytes. Thanks to this estimate that the AI found its way. The human’s constant contact with the machines has given way to the creation of artificial intelligence that can make the lives and the work of the humans a lot easier. AI is believed to lessen the task and offer freedom to create a database and make use of everything.

Harnessing the data

With the launch of AI, the data has been easily preserved. The data that we are harnessing has its own limitations and that has always been a problem which obstructs the smooth work process. Therefore, you will have to make sure that you find a good option to make sure that at no point the work creates a problem. The AI is the next best thing that technology has gifted the world and this can be the option to harness the data in a better way.  

The future of the business

Given the capability of AI, it has the potential to impact our future. It is about to change the history of innovation and can make sure that you get the best solution when it comes to getting the work quickly and efficiently. The AI market is rapidly growing, but when it comes to helping any layman, it is still to take up that place. The change is the most constant factor for any future and given the fact that AI is about to bring the most impressive and noteworthy change in the history of technology.

AI to Science

In 2013, MD Anderson Cancer Center set forth a “moon shot” project that estimates a cost of $62 million. It was believed to diagnose cancer and offer a suggestion of treatment. However, the project has stopped because of the exceeding budget, but it is still being worked on. We can say that it is not only the business that AI is about to touch but it is sure to awe human lives in every way possible. We will have to wait for the AI to come into the real being and how it will affect our lives. There are many trial and error methods that are in the picture, but we are yet to find the real usefulness of the AI.

The invention of computers, telephones, and mobiles has globalized the world, but to keep up with the pace of technological updates, AI is the gift that the masters have given. It is about to provide new wide scopes to the future of the business and it is always better to stay updated with the new things to know about the changes that we are going to see in the recent future.

There are always a set of doubts, bias, and worries that come with the AI, it is going to support the basic information. But making it adaptable to the environment matters the most. It is true that it is “Artificial” after all. There will be drawbacks and biases towards the creator. Therefore, AI might take a lot of time to come into the picture but the bell is already ringing.

AI is one of the best sources to create a stronger bond between human and machine. We will have to simply wait and what the result is and how the machine will take over our lives. It is important to make sure that machines do not take over us and that we have control over it. The AI for the future business is a prototype and can promise to offer the best quality result when it comes into practical usage.

To know more about how AI can help your business, reach out to us: