Using IoT to Enhance Your Mobile App – Increase Online Customer Subscription

A healthcare startup was looking for an application development company to enhance their smartphones and a wearable (sensors) application that enables the patient’s family to connect with their loved ones while in hospital, skilled nursing, or memory care facility. The client’s goal was to make the connected world a simpler and more affordable place to live in using the Internet of Things and mobile technology.

 

First, this was accomplished by uploading and displaying personalized videos from family and friends to enhance personal connections and reduce the feelings of isolation and loneliness. Secondly, by using wearable technologies (medical sensors of vitals) to predict and warn users when their medical parameters (Heart rate, SPO2, Stress) are going below or above an established threshold. This essential system also warns the medical staff and family automatically. Periodically, status can be monitored through smartphones.  The application provides feedback regarding how many times the videos are watched by the patient and it is a platform for status updates from healthcare staff via text messages.

 

Challenge:

 

They needed a feature-rich application that could handle thousands of videos being uploaded and shared over the internet. Additionally, it was required to run in a cloud environment and to be developed within six weeks. The current application had the following challenges:

 

1. Feature enhancements took more time to implement due to inconsistent development standards.
2. Frequent (OS) operating system device crashes occurred because of outdated application libraries.
3. Application performance was slow due to existing code quality.
4. The server-side architecture needed to be enhanced.
5. TV functionality needed upgrading to support patient privacy policies.

 

Solution: 

 

The Charter Global team upgraded the client’s application libraries to the latest versions and migrated all of their android and iOS code to support the Android X components. Refactored the TV application codebase to support the updated privacy policy terms. Charter Global’s team identified the root causes for the system crashes and low performance. They designed and implemented solutions that improved the code quality and the performance of the entire application by 100%.

 

Results:

 

As a result of these enhancements, the client was able to increase its subscription base by 50% within six months of deployment to the production environment.

 

Are you thinking about creating a mobile application? If so, Schedule an appointment today with our full-service mobile app developing team.

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Machine Learning (ML) vs. Artificial Intelligence (AI) — Crucial Differences

Artificial intelligence and Machine Learning are the part of computer science that are correlated with each other. These two technologies are the most trending technologies which are used for creating intelligent systems.

Although these are two related technologies and sometimes people use them as a synonym for each other, but still both are two different terms in various cases.

On a broad level, we can differentiate both AI and ML as:

Artificial Intelligence vs. Machine Learning: Required Skills

Because artificial intelligence is a catchall term for smart technologies, the necessary skill set is more theoretical than technical. Machine learning professionals, on the other hand, must have a high level of technical expertise.

Artificial Intelligence Skills

People pursuing a career in artificial intelligence must have a foundation in:

1. Algorithms, and techniques for analyzing them
2. Machine learning and how to apply techniques to draw inferences from data
3. The ethical concerns in developing responsible AI technologies
4. Data science
5. Robotics
6. Java programming
7. Programming design
8. Data mining
9. Problem-solving

Machine Learning Skills

People pursuing a career in machine learning must have a foundation in:

1. Applied mathematics
2. Neural network architectures
3. Physics
4. Data modeling and evaluation
5. Natural language processing
6. Programming languages
7. Probability and statistics
8. Algorithms

The Future is now with AI and ML 

So, by now, you’ve learned the basic differentiating factors between ML and AI. Machine learning uses past experiences to look for learned patterns, while Artificial Intelligence uses the experiences to acquire knowledge and skills, then applies that knowledge to new scenarios.

It’s clear that both AI and machine learning have valuable business applications, empowering companies to respond quickly and accurately to changes in customer behavior and solve critical business problems.

As the adoption of AI and ML become more commonplace, namely predictive analytics and data science will see a massive uptake in virtually all industries across the marketplace.

Reference Link:

https://www.charterglobal.com/machine-learning-vs-artificial-intelligence-whats-the-difference/

https://www.charterglobal.com/ai-machine-learning/

How automation reduced the customer processing time by 300 percent.

A public transportation company was looking for a strategic partner to automate their manual workflow process. They needed a feature-rich application to replace the current process to provide data insights to their customer’s eligibility.

 

Challenge:

 

Their entire process — from applications being submitted to assessing the eligibility of the rider was paper-based. This manual submission process led to significant delays in determining their customer’s eligibility. It was determined to be inefficient and costly in man-hours, as it required a lot of effort to remember various workflows for each rider and process accordingly. This manual process was also prone to basic human error.

 

Solution:

 

Charter Global developed the Single Page Application solution using the client-recommended technologies. The User Interface was built using the Vue framework and APIs were developed using the Express web application framework adhering to the microservice architecture. The new features consisted of the following:

 

1. Enabled the user to generate dynamic forms in real-time.
2. Allowed setting up meetings with customers.
3. Technology stack needed to be consistent with existing systems.
4. The solution needed to be easy to maintain.

 

Results:

 

The new online application eliminated all existing paper documents simplifying their entire workflow management process. It allowed their customers to submit applications online creating a self-service model. In addition, their management team was able to create reports in one click. As a result of the new application, the client was able to reduce the customer eligibility time by 300 percent.

 

Implementing a new microservice architecture and automation proved to be highly effective and saved valuable resources for our transportation client. During the pandemic, this digitalized solution helped our client users to continue operations without any manual interactions.

 

How can we help your business succeed and thrive!

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We increased our client’s online customer subscription by enhancing their mobile application

A healthcare startup was looking for an application development company to enhance their smartphone application that enables patients to connect to their loved ones while in a hospital or nursing home using personalized videos.

 

Challenge:

 

They needed a feature-rich application that could handle thousands of videos being uploaded and shared over the internet. Additionally, it was required to run in a cloud environment and to be developed within six weeks.  The current application had the following challenges:

 

1. Feature enhancements took more time to implement due to inconsistent development standards
2. Frequent (OS) operating system device crashes occurred due to outdated application libraries
3. Application performance was slow due to code quality
4. The server-side architecture needed to be enhanced
5. TV functionality needed upgrading to support current privacy policies

 

Solution: 

 

The Charter Global team upgraded their application libraries to the latest versions and migrated all of their android and IOS code to support the Android X components. They identified the cause for their system crashes while improving code quality.  Refactored the TV application codebase to support the updated privacy policy terms, identified the causes for low performance, and improved all the application’s performance by 100%.

 

Results:

 

As a result of these enhancements, the client was able to increase its subscription base by 50% within six months of the code being in production.

 

Are you thinking about creating a mobile application? If so, Schedule an appointment today with our full-service mobile app developing team.

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How Charter Global developed a .Net Cloud Solution by Automating the Client’s Manual Process.

A Fortune 500 company was looking for an application development company to reverse engineer their manual processes and design an internal system to improve how they managed their customer infrastructure support requests.

 

Challenge:

 

Their current process was managed with excel spreadsheets. It lacked integration with the various key departments within their internal systems to accurately execute a proper infrastructure request. They needed a feature-rich application to replace the current process to provide data insights to their customers, back-office support, and management. Additionally, it was required to run in a cloud environment and to be developed within four months.

 

Solution: 

 

We recommended .NET as the application development platform to allow for improved code management, ability to run on cross platforms (Windows, Linux, and OS X, etc.), flexibility to deploy, and easy maintenance. The Charter Global team reverse-engineered their manual process, while simultaneously collaborating with their Product management team to gather the requirements. The new application provided an easy-to-use Cloud Ordering experience. Its features include view available service catalog items, ability to add/update/delete required items to their Project infrastructure estimates, view capability via the shopping cart, support bill of Materials, and submit/checkout project estimates. The Backend functionality provided important validations of their Data Center capabilities to serve project estimates; ability to submit estimates to the backend Deployment team for build/deployment of infrastructure requests provided key integrations with ServiceNow and Data Management operations Audit trails.

 

Results:

 

The new Cloud-based application reduced the turnaround time of the order capture process to build/fulfillment of all infrastructure requests. The solution also provided useful reports on how the Data Centers were utilized as well as capacity metrics helping the management team with important business organizational decisions. The Backend Data Management tools provided the ability to manage Service Catalog items, pricing, and availability of catalog items more efficiently compared to the previous manual process.

 

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