Artificial Intelligence in Healthcare Industry

Artificial Intelligence has come a long way down in every feasible domain. It has proved to be a boon for most of the industries by redesigning them in order to unveil their true potential. One of the most prominent spaces making best use of AI is Healthcare. Artificial Intelligence in healthcare is a great idea and it can help in improving communication between patients and healthcare professionals, providing better diagnosis. Here, AI can be implemented to store large amounts of data, process it and translate it into useful information with the help of tools. The capabilities of AI in medical and healthcare are vast, however.

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Here are some of the applications of Artificial Intelligence in Medical Industry:

Better Medical Diagnosis: Artificial Intelligence uses algorithms that can assist doctors in diagnosing effectively. It can help in scanning and checking patient’s history; thus, automatically learning from classifying patterns in the data. AI based system can also trim out the irrelevant data which helps the doctors to focus more on the important data only. In addition to this, some diseases require immediate diagnosis, which can also be done with the help of AI algorithms.

Human Diagnosis Project is a medical organisation that has designed an AI-based app that analyses and filters advices from several medical specialists into an overall ranking of the most likely diagnoses. It also implements Machine Learning to build the best information by gathering data from best doctors across the world.

Henceforth, AI applies various algorithms to churn out better results that helps in giving better diagnosis.

Predicting Risk: Some of the Machine Learning algorithms that are already being used in the medical and healthcare sector are Random Forest, Logistic Regression, Gradient Boosting and Neural Networks. Since data is mostly stored in electronic media, AI makes use of these algorithmic programs to search for patterns and then build their own internal guidelines. Lately, neural networks have proved to be best among all these algorithms and facilitate accuracy in predictive analysis with the help of Data Science.

So, AI uses self-learn patterns to predict patient’s future risk of having a disease or a stroke, which is, for now, is an impossibility for human paramedics.

Drug Discovery: Composing new drugs takes years of research, which means lot of time and money is consumed in the process. But what could be better than having a system that could automate drug discovery. Yes, you read it right. With automation, you can automate the process of discovering drug that reduces the cost and time as well. According to the stats, bioscience industry is getting around 10,000 publications regarding biomedical databases and journals on a daily basis across the globe. So, it is not possible for a medical professional to go through this data and analyse it. This is where AI comes to picture. It reviews billions of sentences and huge data available. This data then leads to known facts that help in generating hypothesis by scientists. Based on these hypothesis, possible drugs are discovered and tested before being released for general use.

Telemedicine: Telemedicine is not a new field, but it has had its share of cons, like inefficient patient-doctor communication, rendering services and a few more. AI-powered Telemedicine allows doctors to assist their patients who live at remote locations. It uses a remote presence robot that helps doctors in clarifying all the queries they have from the patients. AI assistants provide online care & assist patients to add their data more frequently via online medical records etc.

Hence, healthcare looks the most promising field that could be disrupted by AI and a massive impact can be created by employing AI in this field. It can completely change the way patient care is being delivered globally. Not only medical field, AI can take

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Applications of Chatbots in Business World

Have you ever experienced a live chat with a customer care executive that appeared at your service as soon as you opened the website/app and made you feel lucky enough to try a hand at a casino in Vegas? Sorry to inform you, but that was a Chatbot and you may not actually be that lucky.

A Chatbot is also known as a “Conversational Agent” or “Dialogue System”. It is an application software that mimic human speech while having a conversation or interaction with an actual person. These can help us out either as individual apps or web based apps. With the help of Artificial Intelligence, Natural Language processing, Chatbots processes the text presented to them by the individuals and then use algorithms to provide relevant response as per the information provided.

Because of the exceptional response that Chatbots apps (android / iOS) provide, sometimes, it becomes very difficult to recognise whether it’s a bot or a human being. For customers, they make life quite easier as user doesn’t need to wait much in order to get response. This is the reason for extensive use of Chatbots in Businesses, now-a-days.

Below are few uses of Chatbots in different industries:

Ordering Processing for Various Industries: In order to take orders and process orders, food industry is already making use of Chatbots. It has become extremely easy for consumers to communicate with the bots to place order. The user can either text, tweet or use their voice to place orders. Domino’s was one of the early adopters of Chatbots. In food industry, Chatbots are programmed to suggest user with the help of order history. Other than this, they can offer other benefits for the order like changing the ingredient.

Not only food industry, e-commerce industry is also benefitting a great deal because of Chatbots. You might have seen the option “Recommended for you” while shopping online. Yes, that is a bot. Based on the products you’ve viewed, a bot intelligently recommends product for you. And you can easily search the product you are looking for with the help of bot. So, you can easily interact with the Chatbot and get the product or meal that you want.

Weather Bots: Isn’t it amazing to have a bot that lets you know about the weather condition anytime you want? Well, this is the merit of having a Weather Bot. These bots forecast the climate and let you know whether you need to wear your pullovers on before leaving out of the house or not. So, you can easily know the current weather conditions in your area sitting right at your home.

Customer Support: Customer Support is an important part of almost every business. But most of the business have troubles while offering support to each and every customer. An actual person isn’t able to answer everyone’s complaint and that too without much delay in response. This is the reason why Chatbots are being used as Customer Support executive. They can easily answer the basic questions and request the human executive to answer the tougher ones.

As per a survey, 56% of the customers prefer their issue being resolved over chat rather than via phone call. This is a solid proof that vouches for the use of Chatbots in businesses to offer customer support. With proper programming, Chatbots can come up with logic-based replies for user queries. Their motive is provide answer as quickly as possible.

Data based Marketing: Chatbots have proved their mettle in giving a fillip to businesses in driving data about their clients in a much easier way. These bots make use of Machine Learning protocols to gather information. They can analyse the user’s behaviour by their preferences, buying decisions or products ordered. This is helpful for marketers to design website content that will be more appealing for the consumers. Moreover, Chatbots can take responses from multiple number of users simultaneously which in turn helps marketers to have an appropriate feedback.

Finding a Hotel or Restaurant: Are you new to some place and confused about the hotel where you want to stay? Well, you can ask a bot and it won’t disappoint you for sure.

A Chatbot can easily help you find the hotel/restaurant that you desire based on your choice. Once you choose, bots can make reservations, book a table, plan a trip and do much more you could have, manually.

So, Chatbots have made an important place in almost every domain. All you need to do is get your Chatbot programmed accordingly.

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Artificial Intelligence in Banking Opportunities can’t be ignored

Artificial Intelligence has influenced our lives greatly over last few years down the timeline. Although we are yet to witness full-fledged applications of Artificial Intelligence, the range of AI has already covered a vast area in the technological space, which has directly or indirectly affected us. Following the Machine learning applications protocols, AI-powered machines are intelligent enough to learn on their own, and this in fact, has proved to be quite a boon for the mankind. If we look at its progress in last few years, we find that AI has influenced almost every domain, and today, it is no wonder that banks as well are looking for new ways to optimize internal processes easier to improve customer experience, and hence, customer satisfaction.

Banks are financial institutions which are required to stay up 24/7 because financial transactions could also happen anytime in a day; though from user’s perspective, the actual problem is lack of 24/7 customer support. But now-a-days, few banks are providing customer support with the help of adoption of Chatbots.

AI is being implemented on a large scale by all enterprise, either big or small, and likewise, some of the biggest banking institutions have also identified the potential of artificial intelligence in banking:

1. Understanding Customers’ Behaviour: Understanding your customer is much more than acknowledging their basic statistics. AI can give a profound analysis of customers’ behavioural patterns and financial report rather than taking a gander at fundamental data, for example, age, gender or salary.

Banks are becoming customer-centric, by getting to know their customers from closer than ever, with the help of AI. This is the reason why Robo-mentors are in great demand these days. AI has improved banks’ understanding of customers’ insights.

Upgrading client’s behaviour, specifically, is one of those territories where AI can truly be utilized to follow up the patterns through the information available, and design organized data structures that have been out of our reach up yet. This data can in turn be used to provide better customer support, process optimization, personalized suggestions, and much more to the customers.

2. Customer Onboarding: By knowing the customer appropriately, AI can help make a seamless, assisted onboarding process that will eliminate various steps that customers as well as banks have to follow.

For example, AI powered Chatbots can be used to quickly understand fundamental inquiries that in turn automate frequently repeated queries. This broadens a bank’s quest for conveying more on-demand administration, and supports crosswise over channels. By implementing AI, banks can engage with their prospective customers, at an early stage using voice digital assistant process, the vice versa goes for the customer.

3. Easy Risk Management: For any bank, the most important thing is to manage loopholes and risks involved. And with AI integration, risk management is as good as solved, as due to its predictive nature, risks can be assessed, calculated, and mitigated before they could pop up and bring harm to the chain.

In other uses cases, AI is being applied to fraud detection & prevention in banking, and various fraud tools are present that can mine data to uncover meaningful pattern which is basically utilised by banks. But using AI, these risks can be minimised and automated analysis can be performed. Probing such large amounts of data manually without error was just not possible.

So, by leveraging the AI factor, no matter how big or small your organization is, virtually any financial services organization can cross routine hurdles in new, innovative ways.

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Technology Trends that will dominate 2018 to 2020

Everyone is in awe of the way technology has evolved right before their eyes. With the help of a gadget that fits your pocket, it is possible to retrieve any kind of data and utilize it in various different ways. Isn’t that astonishing? There is continually something new in the technological front, and we can’t resist the urge to hold up and ponder what innovative wonders we have coming.

With the kind of anticipation masses show for budding technologies, we get to see changes in digital trends, every now and then. Advancement in mobile, cloud and big data have been playing a vital role in the realm of technology. Upon retrospection, we can say 2017 has been a great year for the development of digital space, but we are all set to move on, and already quite intrigued about what 2018 has in store for us.

Here is a little preview of what we can expect from the digital sector in 2018 and years that follow:

Here is a little preview of what we can expect from the digital sector in 2018 and years that follow.

Internet-of-Things (IoT): Devices like smartphones, tablets and almost anything with a sensor on it, if connected to the internet, will collect & exchange information and send over to a common network that is synchronized at a global level, at all times. This network is known as “Internet of things”, which brings convenience to our tables never before. For industries, it means complete transparency in sharing of user data and utilizing it for purposes much bigger than we could imagine.

IoT uses Machine readable identification tags. Sensors are used along with these tags to collect information about objects that are used in daily life. It is applicable in many companies as well where computers would keep track of stock available and resources and maintain them to optimum levels which in turn, saves a lot of time and money.

Internet-of-Things (IoT) and resulting interconnections of smart home technology for years. So what’s the holdup? Why aren’t we all living in smart, connected homes by now? Part of the problem is too much competition, with not enough collaboration — there are tons of individual appliances and apps (android / iPhone) on the market, but few solutions to tie everything together into a single, seamless user experience. Now that bigger companies already well-versed in uniform user experiences (like Google, Amazon, and Apple) are getting involved, I expect we’ll see some major advancements on this front in the coming year.

Since few bigger companies like Amazon, Apple, Google & Microsoft that are already trained in providing uniform User experience are getting involved and surely we can see major growth of IoT domain.

Machine Learning: Machine Learning is a form of data analysis that automates analytical model building. Using algorithms that continuously assess and learn from data, machine learning enables computers to gain hidden insights. However, discoveries occur without programming systems to explicitly look for these digital treasures.

Machine learning is a form of data analysis that is used for automating Analytical model building. It is evolved from the study of pattern recognition and computational learning theory that is used in Artificial Intelligence. It uses algorithms that continuously assess, learn and make predictions on the data it collects from sources.

In the coming year 2018, we are expecting to see machine learning updates over a broad range, entering almost any type of consumer application you can think of. It is expected that using Analytics app, machine learning will improve user experience in almost every industry.

Integrating Physical-Digital Realities:

Undoubtedly, technology is getting added into our daily lives with the help of mobile devices. Using smartphones, everyone is able to access immense amount of information in this real-world. Already, we can buy and pick up products in physical retail location sitting right at home.

But surely, we are going to move ahead by integrating physical and digital realities. For example, few brands like Amazon are planning to have more physical products like Dash Buttons. Few digital features also like product trials will also be implemented. One such example is Lenskart where you can try your spectacles virtually.

Augmented Reality and Virtual Reality:

Virtual reality is recreation of a real environment with the help of artificial or computer generated simulation. Virtual reality is possible through a coding language known as VRML (Virtual Reality Modeling Language).

Augmented reality is a technology that makes it possible to interact with existing reality by integrating computer generated enhancements which makes it more meaningful.

AR and VR have already landed up in the market. We have also seen Pokémon Go, an AR game which has over 100 million downloads. The market is ready for AR and VR. But it is going to be next year before we see things really going forward. Be ready for AR and VR versions of practically everything in 2018.

So, the coming year is again going to be a technologically advanced year. Get ready for new tech manoeuvre!!!

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How AI is working together with website composition today?

The web has undergone numerous changes over the past few years. In past times worth remembering, website composition was more about the available technologies and had nothing to do with content styles, typographic assortments, generous visual substance depiction, rich media and other segments of a website’s design layout. Today, regardless of the magnitude of its importance, each and every segment is quite important and needs to be chiselled to perfection in order to survive the gruesome digital competition.

Now-a-days, designing of a website requires rising interest in elegant web design with a simple and comprehendible line of features, without compromising on high visuals and graphics. Websites have to be lined with the purpose of getting brand messages across and leaving an effect by serving the visitors with what they need. And if you ignore these, you won’t get successful in designing your website.

The tech world is getting revolutionized by Artificial Intelligence, and web designing is also getting influenced by it. AI is speedy transforming into one of the most important tool in the hands of accomplished website design and development organizations for various reasons.

With the help of Artificial Intelligence, the design and development costs of websites have come down to a legitimate level. The utilization of complex calculations of codes implies that the planned procedure is whittled down to the no frills, sparing time and vitality that would have been generally utilized amid the expository phase of the website composition meeting process.

So, Artificial Intelligence in improving web can truly have an astonishing result on user experience that boosts business transformation. Here are some of the ways in which Artificial Intelligence can help in improving the user experience:

1. Anticipating better response:

The way machines (PC’s) communicate with users hadn’t reached the level we have been expecting. But, with the aid of AI, chatbots have been created which are able to communicate effectively and thus responding appropriately. The web users, in future, will have more proactive responses from the apps (android / iPhone) & websites, by the courtesy of AI bots.

2. Enhance user experience

AI is adapting to the user needs which has made life quite easier. By implementing Artificial Intelligence in web development, understanding user’s preferences and moods has become simpler which indirectly helps in figuring out the context of the user. Obviously, by understanding the user context and situations, customer service and user experience can be given a boost.

3. Voice-based search

The intent and preferences of the user based on the voice and tonal differences can be decoded by Artificial Intelligence. Earlier, understanding the user’s spoken language was difficult because different pronunciation is used in different areas. Now, Natural language processing technology has come into picture which makes it easier to decipher the content. AI bots powered by voice command that are capable of answering queries and even handle the basic operations, have taken functionality to the next level.

4. Customers can have Augmented Experience

While doing shopping or buying something from a retail store, you need someone from the staff to assist you. Similarly, while doing online shopping, you need help with that. This is where AI-powered chatbots can really play a positive role. While shopping on a web store you can seek help from a bot that is intelligent enough to read your preferences, analyse your purchase history and make purchase suggestions based on that.

AI is one of the most advanced and crucial technologies, which add value to the user experience and business. AI influences that through context-aware web designs, SEO, Digital marketing, and web development; hence playing an important role in web development.

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How Job seekers get their dream job with the help of Artificial Intelligence

Before the advent of digital technologies, the best employments have mostly been informal, notwithstanding when distributed and making opportunity-to-offer conversion, a troublesome affair. Times changed and we witnessed a gradual shift in the way people looked for opportunities, and today we have these huge consultancies and job portals with digital gears that provide an even stage for everyone in pursuit of a vocation. At present, with job opportunities being rolled out through the web, finding a job in a desired domain without the assistance of Artificial Intelligence would be like looking for a needle in a haystack.

Artificial Intelligence Fuelled by Behavioural Search Data and Patterns:

Artificial intelligence puts user-specific data and cumulative search patterns to use, in order to help one find appropriate jobs via search engines and job portals. The algorithms, which form the base of AI applications (android / iPhone) in recruitment procedures, analyse and process the search pattern and behavioural data that is being generated through round-the-clock searches. This in turn, improves the relevance of the jobs displayed on the search engine.

One of the biggest applications (android / iOS) of AI, in fact, has been determining the remuneration. Every person who is looking for a job is concerned about the salary as well. But most of the organizations prefer not to mention remuneration details. By utilizing outsider assets and data nodes from huge piles of job search data, the AI algorithms can come up with approximate salary estimates, even when an organization chooses not to disclose that.

AI powered by search behavior data is additionally utilized in various different ways. Algorithms are used to evolve the patterns. By keeping a tab on where job seekers take a gander at jobs over vivid range of similar searches, these patterns evolve, and go on to modify algorithms to offer jobs that have reasonable commutes.

Job Seeker’s Experience Increases with new AI technology:

Utilizing job seekers conduct and outside databases has been an incredible characteristic that helped AI build significance. Different job portals have an abundance of unstructured data that includes more than 90 million resumes, billions of sets of responsibilities, and a large number of surveys of employers by employees to mine, which expands the precision of coordinating calculations. A subset of AI, Natural Language Processing (NLP) is also being used to roughly evaluate candidate’s expectations from resumes and company reviews. This information can fundamentally increase the success rate in hiring and paves the way for more and better opportunities.

Moving past Resumes and Sets of Expectations:

Even today, job descriptions and resumes continue to be a brief overview for both the parties, and serve as bases of information for coordinating algorithms. Nonetheless, these archives are one-dimensional perspectives of a working environment loaded with the potential for accidental human biases.

With the present sets of responsibilities, it is pretty hard for aspirants to fetch recruiter’s attention. Moreover, a document cannot be trusted to project accurately, the worth of a candidate. There are different sorts of roles & responsibilities in the job market and the resume written for ‘Job A’ may not necessarily work the room for ‘Job B’. But, now-a-days, AI-driven assessment technology is being used.

While looking for employees with certain skills, Artificial intelligence can look into job descriptions and suggest tasks that would be appropriate for the job. By using automation, a recruiter can also cut-back on time needed to understand qualifications. With appropriate use of AI in the recruitment industry, the human prejudices against digital ways of doing things may also be conquered in a while.

Also, from a seeker’s point of view, these assessments are quite benevolent as for them it would be easier to comprehend recruiter’s requirements and job role. These assessments can also help job seekers to level up their chances within the job market with advices on areas that need improvement, eligible jobs, and their rank in a particular skill domain.

Planning to implement Artificial Intelligence for your business?

If yes, Smacware can help you integrate your business with the latest AI Technologies. which is the best mobile app development company that has helped many global companies increase their business revenue. Apart from app development smacware also expertise in video production, Photography, corporate branding, events & exhibition, digital marketing, and web development services.