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You are going to create a patient management account. This account is designed to give your patients access to CogniFit evaluations and training.

You are going to create a research account. This account is specially designed to help researchers with their studies in the cognitive areas.

You are going to create a student management account. This account is designed to give your students access to CogniFit evaluations and training.

You are going to create a family account. This account is designed to give your family members access to CogniFit evaluations and training.

You are going to create a company management account. This account is designed to give your employees access to CogniFit evaluations and training.

You are going to create a personal account. This type of account is specially designed to help you evaluate and train your cognitive skills.

You are going to create a patient management account. This account is designed to give your patients access to CogniFit evaluations and training.

You are going to create a family account. This account is designed to give your family members access to CogniFit evaluations and training.

You are going to create a research account. This account is specially designed to help researchers with their studies in the cognitive areas.

You are going to create a student management account. This account is designed to give your students access to CogniFit evaluations and training.

You are going to create a company management account. This account is designed to give your employees access to CogniFit evaluations and training.

You are going to create a developer account. This account is designed to integrate CogniFit’s products within your company.

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For users 16 years and older. Children under 16 can use CogniFit with a parent on one of the family platforms.

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CogniFit and Amazon Web Services

CogniFit and Amazon Web Services

A key partnership to provide secured unlimited digital brain health services to consumers and organizations worldwide.

Working together to help millions of people live a better life by improving brain health through enjoyable digital solutions.

Large scale collaboration with businesses ranging from pharmaceuticals, sports, education, government, and healthcare industries.

How CogniFit uses the AWS cloud services

From the beginning, CogniFit has been very aware of the importance of using good data. Our assessment and cognitive stimulation tools are conceptualized, planned and developed with accurate scientific data in mind, which has allowed our platform to grow into a tool used not only by people around the world who want to give themselves or their loved ones tools to improve their brain health, but also by education and healthcare professionals who need a powerful platform to assess, track and train the cognitive abilities of their students and clients.

And that's not the only way CogniFit creates value through data. The vast amount of data generated by our platform can be used by scientific researchers as well, providing a unique source of information about cognitive abilities and how these abilities play an integral role in everything we do. CogniFit has chosen to use the Amazon Web Service platform to create a rich data ecosystem, allowing us to simplify our data storage processes, streamline the way we use and interact with our data, and enhance our ability to create value. from the data for our clients and our research partners.

How CogniFit uses Amazon Web Services to bring even more value to our cognitive data

We chose to use Amazon's AWS platform as a core part of our infrastructure because of the power and relative simplicity of its platform. Here are some examples of how we use AWS:

AWS Data Storage Simplified

CogniFit physical data is divided into two main databases that keep personal information used for applications such as registering on our website and making payments separate from data created by our applications that includes information that could indicate, for example , the state of physical or mental health of a user.

Although there are multiple reasons for organizing our physical data storage, the privacy of our users is paramount among them. However, there may be times when we need to compare data that might reside in one database, such as a user's ability to visually focus on a single stimulus, with data from another, such as age.

By using the AWS Database Migration Service to create data warehouses on the simple storage service, we can create a simple and secure data “sandbox” in which we can manipulate our data without putting the information at risk of our users.

In addition, we use Amazon's RDS (Relational Database Service) service to help us simplify the management of our databases. By using AWS EC2 (Elastic Compute Cloud) to host our Front-End servers, we can take advantage of powerful load balancing and autoscaling features to adapt our system to changing traffic demands throughout the day, which means we can deliver Seamlessly give our users maximum performance during high traffic periods without wasting server resources during low traffic periods.

AWS not only provides us with fantastic tools to create a powerful, efficient and flexible data storage plan, but thanks to Amazon's WAF (Web Application Firewall), we can ensure that our web applications are safe from online threats.

Optimization of data processing

With data tools like AWS Glue, we can refine, filter, and process data in powerful new ways, enabling us to turn raw data into organized and valuable information.

Creating virtual databases using tools like AWS Glue Crawler and AWS Glue ETL Jobs allows us to build simple yet powerful data sources for a variety of internal and external applications.

In this way, we can build individualized databases, specifically designed to meet the requirements of each data application.

Data Analysis Supercharge

Of course, data is worthless if we are not able to understand it and see the stories it tries to tell. That's where AWS tools like SageMaker, Athena, and QuickSight come into play. AWS Glue tools helped us turn data into information, but these tools help us turn information into knowledge. SageMaker is giving our teams and partners the ability to create hyper-personalized recommendations and adjust the complexity and difficulty of cognitive tasks on the fly to deliver the bets possible cognitive training experience for each user.

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