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A quick Intro to Spritle’s journey in Digital Healthcare

Trust your instincts and Dream Big is my all-time motto. You all might wonder why so many quotes to start with? Yes, we have accomplished our long-time goal of making a big step into the Digital Health maze!

In recent days all one can see is only about Covid, its effects & how it has turned the tables for the Medicine & Healthcare sector. I am talking about the Digital Healthcare Revolution that is currently happening across the globe.

Wherever we go, whichever articles we read, all of them point towards only one direction→ DIGITAL HEALTHCARE. That is right! As normal people & users need easy, quick, and accessible from a single place & device solutions in this fast and competitive world for all our activities, Healthcare is not an exception.

Healthcare digital systems have experienced intensive changes, developments, and improvements over the past decades. But now, one can feel the intense heat & competition that has surrounded the domain & the solutions providers.

Many Researchers, Scientists, Solution Providers, other Organizations (both Government and Non-government), etc. are striving to come up with many different and unique ideas to contribute to the digital health world. We can see the efforts they put into bringing all these solutions & services together.

“We all are traveling towards the same destination to achieve the same goals, aren’t we?”

Okay, let me get straight to the point . I bet you guys know about the company called Spritle Software in Chennai, India. If not let me just give you a very quick introduction.

Spritle Software is an advanced Mobile & Web Software Development company that has been in the business for more than a decade, Ummm 13 years to be precise. Spritle started working on various Healthcare Applications in 2014 and proved to be reliable & successful to their clients. Also, they have a well-established client base and are known to be the best solution providers around them.

We have developed digital healthcare solutions for some of the most unusual and challenging ideas from a variety of our clients. We did not want to go hay way as others do.

Our main focus lies on these domains, GENOMICS, AI VOICE BOTS, BRAIN WAVE/ COGNITIVE ANALYSIS & FUNCTIONAL MEDICINE.

“We do not speak with words. Our works speak for Us”

‘The ultimate aim of Spritle Software is to be a Domain-driven technical expertise company, be a backbone as a technology partner to our clients, and help them grow their business by partnering with us.’

We will be tirelessly working as a Team to the best of our abilities to bring you fresh, unique, flexible & easy to use Applications to make your lives easier & simpler.

We all know that “Necessity is the mother of invention”. Without requirements or needs, there would be no solutions to be offered.  You keep dreaming about it, we Spritlians will make your dreams into reality! Join hands with us for a better world, Thank you.

With lots & loads of positivity, talent & love, the Spritle Software Team.

Also, do follow us on Facebook, Instagram, LinkedIn, Twitter, and Youtube.

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Top 5 countries and hospitals that have adopted Voice-bots!

The current era we live in is constantly evolving and newer inventions are being created every day but this does not mean that it is the end. The cycle of evolution will continue and eventually the old will be replaced by the new.

For example, the hospitals in the previous generation had a few electronic materials and even fewer that were automatic, and the generation before that much lesser. So we definitely have gone up in the medical field so much that multiple different things are now being done via virtual means.

Voice-bots will eventually take over the massive task of dealing with patients and also help them deal with the excruciating task of making appointments, check-ups, and other minor details. The countries that have already introduced voice-bots in their hospitals are the United States & India, while Switzerland and Berlin follow the suit and finally in Italy.

United States, Voice-bots and the Benefits,

Now considering that the US is well developed, it’s only natural that they also probably have one of the best AI voice bot technologies in the world. Using them for hospitals to provide automation even in a reasonable case can significantly reduce labor costs and also create an efficient workflow.

Now, these facts are still out there. Let me spew to some names that would make you realize just how widespread the use of these voice bots is: Red Cross America, the University of Chicago medical center, and a few more.

This can also mean that there are many other hospitals that use this resource but are not mentioned so clearly. The use of voice-bots knows no bounds and can be used in any field to help manage patients or clients.

EU makes a change, phew!

There are 3 countries in Europe that have currently adopted the Voice-bots in the hospital are berlin Switzerland and Italy which come as no surprise as these are pretty well-developed countries.

There are quite a few hospitals that have already implemented these voice bots to speed up their process although specific names arent mentioned there are quite a few who make use of them. So with this, it is safe to assume that they are on the same track to evolution much like the others.

India now has a voice…

A developing country that is slowly making its way into the big leagues by implementing voice bots in their medical system makes the process much faster and can also reduce inflation while used on a large scale and a great number of hospitals.

This automation process would also reduce the workload on the nurses that work for long hours and agree deprived of sleep and energy. Nevertheless considering the way that the Mayo Clinic is going it seems fair to say they realize the big picture here.

Now although Mayo has implemented this in their hospital it does not mean that just one of them being automated can improve the overall situation.

However, a good amount of investors and hospital owners who wish to play a major part in enabling efficiency are free to reach out to us for the exact solution to your problems.

Automating a process always enables you to focus more on analytics & enhancement, and spend reduced time on fixing the errors raised in the manual process. Similar to that, automating the very simple process of calling and making appointments for patients in your hospitals has many benefits, eventually making it bigger.

Countries around the globe have already started their automation journey, what is making you wonder! Join the community now and leisurely enjoy the process.

Hope this blog has introduced you to a whole new world. We will be back with many more interesting blogs along with us on the way. Keep expecting the best as always!

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Top 5 Natural Language Processing Companies in 2022 with best reviews.

NLP can help you achieve your business goals, whether you’re searching for a means to improve your present services, create a more user-friendly UI, or extract value from large amounts of data. Simplified Customer Service Streamline processes with smart applications (voice bots) that can analyze input sequences in the form of voice recording and identify the speaker’s intent. Extract Data Expediently Use question-and-answer systems to find important information, or categorize passages or statements within docs. Execute a Sentiment Analysis To provide an exceptional customer experience, assess whether a sequence (for example, a remark) is favourable, unfavorable, or impartial. Enhance Query Results Carry out complex queries that consider the context of words and provide better accurate results significant sequence resemblance.

 I have listed the top 5 best performing NLP companies in 2022 in India.

 1.   Spritle Software Solutions

 Spritle Software Solutions are US based custom built software Development Company. They have their branch in Chennai,IN and mainly focus on enterprises, Healthcare industries and all to those who needs to develop custom Software applications.

Give your company a competitive advantage. Spritle is one of the best Natural Language Processing Companies that allows you to reinvent what's feasible, from virtual personal assistants and chatbots to sentiment analysis and search engines.

 2.   RaGaVeRa Indic Technologies

RaGaVeRa Indic Technologies specializes in Speech Synthesis & OCR for Indian languages. The company provides optical character recognition (OCR), including text extraction and recognition from camera captured scene and other images; text to speech syntheses such as emotional speech synthesis, online and offline handwriting recognition, automatic speech recognition (ASR) including multilingual speech, and machine translation systems.

 3.   DheeYantra

DheeYantra, a Bangalore-based AI, machine learning and NLP platform, builds an Indian language AI/ NLP platform dhee.ai. The platform enables businesses to engage and communicate with native language speakers in their own regional language. Founded in 2017, DheeYantra has been quick in building its core platform and as of now serving some of the top-notch companies in the Indian Banking, e-commerce and education sectors.

 4.   Saarthi.ai

It is a multilingual Conversational Enterprise AI Platform for omnichannel automation of customer journeys in the user’s native language. The Bangalore-based company helps enterprises to automate Marketing, Lead Generation, Sales and Support in 22 languages reliably, on all digital platforms and IVR. Saarthi.ai also provides a host of agent-side apps and analytics dashboards for the holistic management of multilingual customer interactions.

 5.   Braina AI Assistant

Braina is an intelligent personal assistant, human language interface, automation and voice recognition software for Windows PC. Braina is a multi-use AI software that enables users to interact with their PC using voice commands in most of the dialects of the world. It also allows users to precisely change speech-to-text in more than 100 unique dialects of the world. Its artificial intelligence makes it beneficial for users to control their PC utilizing natural language commands and make life simpler.

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The Best Ways to Find a Software Development Vendor

The process of choosing a vendor is crucial to a company as that can make or break the very purpose of fixing the solutions that a company requires. The factors that affect the selection of an ideal software development vendor range for the quality they produce, the speed of response, the efficiency of the offer, the communication between both the firms are some of the several factors that affect the choice of a particular firm.

The following criteria needed for selecting a company will be discussed in detail below and hopefully, that would give you a clear idea as to what needs to be done when choosing a suitable option.

Needs and wants

The company that is being approached must have previously worked on something similar to your product to understand your needs and develop a solution that also enables you to add on the wants that you wish to include too. How?

Considering that the company has previously worked on a similar project it makes it easier for the company to constantly keep up the stream of updating the software that they made for you and gradually integrating it within the solution. The needs and wants that you require cannot be compromised in any way and has to be given the utmost importance hence ensuring the vendor you choose is qualified for the task.

The best way to ensure all your needs are met is by giving them a clear picture of your requirements so that they do not have any confusion with regards to the solution that the company needs and when it comes to the implementation of the wants you must be extra specific and find out if they are willing to push that extra limit to achieve the required solution.

Experience and specialization

Both of these are interdependent, how you ask? That’s simple. A vendor that has worked on multiple software solutions will gain experience because of the sheer volume of projects and cases that he has faced and while going through the vast amount of possible solutions it is only natural that a good amount would have constantly overlapped and falls into the same category which causes them to focus a bit more on the particular field while ensuring a batch of developers specialize in that relevant field.

Given that experience also play a key role as without the experience required, a company lacks clarity and a company without clarity is not worthy of being chosen to help you.

Customer feedback and communication

Client feedback is a key component in choosing a vendor because it shows the amount of care that has been given to each project this would also go on to prove that the words of these customers play a vital role in differentiating the good egg from the bad ones.

However, it is essential that you find out the background of these reviews and whether they are as legit as they seem. Considering all the factors one can come to a solid conclusion as to what that particular vendor would offer.

Communication is also an important factor as one cannot ensure constant support for they would be working on multiple other solutions. However, the communication between both the vendor and the customer are supposed to be well balanced and should not have any loopholes on statements that go against what the customer requires. Apart from that, the communication channel has to be clean and clear with complete transparency to avoid issues that can cause significant conflict and inefficiency.

A structured way through which a vendor is chosen:

Search the website with the use of the right keywords.

Pick vendors that match your needs (multiple).

Shortlist them based on size and customer review.

Approach the shortlisted ones with a clear outline.

Discuss with them what your needs and wants are.

See which of them has a better understanding of the solution.

Shortlist further based on the evaluation.

See who responds faster sets priorities.

Get a demo from the final shortlisted ones.

Finally, pick the ideal choice that is a guaranteed hit.

While this is the right way to pick a software development vendor it is only one of many ways but also this might provide you an insight as to how strenuous the process is hence be wise in the process of selecting a gold ore you might find fools gold and vice versa so clear understanding is a key to finding the right partner.

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An Introduction to Machine Learning Theory

Machine Learning (ML) is coming into its own, with a growing recognition that ML can play a key role in a wide range of critical applications, such as data mining, natural language processing, image recognition, and expert systems. ML provides potential solutions in all these domains and more, and is set to be a pillar of our future civilization.

What is Machine Learning?

Machine Learning is a new trending field these days and is an application of artificial intelligence. It uses certain statistical algorithms to make computers work in a certain way without being explicitly programmed. The algorithms receive an input value and predict an output for this by the use of certain statistical methods. The main aim of machine learning is to create intelligent machines which can think and work like human beings.

Among the different types of ML tasks, a crucial distinction is drawn between supervised and unsupervised learning:

Supervised machine learning:- The program is “trained” on a pre-defined set of “training examples”, which then facilitate its ability to reach an accurate conclusion when given new data.

Unsupervised machine learning:- The program is given a bunch of data and must find patterns and relationships therein.

Why Machine Learning?

To better understand the uses of machine learning, consider some of the instances where machine learning is applied: the self-driving Google car, cyber fraud detection, online recommendation engines — like friend suggestions on Facebook, Netflix showcasing the movies and shows you might like, and “more items to consider” and “get yourself a little something” on Amazon — are all examples of applied machine learning.

How does Machine Learning Work?

Machine Learning algorithm is trained using a training data set to create a model. When new input data is introduced to the ML algorithm, it makes a prediction on the basis of the model.

The prediction is evaluated for accuracy and if the accuracy is acceptable, the ML algorithm is deployed. If the accuracy is not acceptable, the ML algorithm is trained again and again with an augmented training data set.

WHAT’S REQUIRED TO CREATE GOOD MACHINE LEARNING SYSTEMS?

Data — Input data is required for predicting the output.

Algorithms — Machine Learning is dependent on certain statistical algorithms to determine data patterns.

Automation — It is the ability to make systems operate automatically.

Iteration — The complete process is an iterative i.e. repetition of the process.

Scalability — The capacity of the machine can be increased or decreased in size and scale.

Modeling — The models are created according to the demand by the process of modeling.

Now if you want to learn Machine Learning, you can follow these steps:

Start off by learning the types of Machine Learning Algorithms such as:

Supervised Learning

Unsupervised Learning

Reinforcement Learning

When, you are good with the theoretical concepts of Machine Learning, you can go ahead and implement them using a weapon your choice, such as:

R

Python

SAS

Hope you got some idea about machine learning.Thanks for reading

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