sCompute Now Live: Revolutionising ML Data Computation and Privacy

Swash is proud to announce the launch of sCompute, a groundbreaking product that empowers data scientists and developers to build models on high-quality, zero-party data in a privacy-preserving manner.

In today’s data-driven world, the ability to extract valuable insights from data while ensuring privacy and security is crucial.

Machine learning (ML) plays a vital role in this process by automating data analysis, detecting patterns and correlations at scale, and enabling predictive modelling, all while incorporating privacy and security measures. ML algorithms efficiently process vast amounts of data, identify hidden patterns, and make accurate predictions, allowing companies to derive meaningful insights and make informed decisions.

As a company committed to pushing boundaries, for the past couple of years Swash’s roadmap has been set on reimagining the data economy as we know it; A crucial part of which has been the launch of a product that empowers data scientists and developers to run computations on high-quality, zero-party data in a privacy-preserving manner.

The current data sharing and storage methods are inadequate:

The ever-growing risks associated with data security have posed significant challenges for organisations and individuals alike. According to recent statistics, data breaches have become increasingly frequent, with approximately 15 million records exposed in the third quarter of 2022 alone. These breaches have led to financial loss, reputation damage, and privacy violations, impacting businesses and individuals worldwide.

Traditional data sharing and storage methods have become outdated and inadequate, hindering the progress of data science and innovation. In fact, a survey conducted by PwC revealed that 90% of organisations face challenges when it comes to accessing and leveraging data effectively.

Meet sCompute:

With sCompute, Swash addresses these challenges head-on. By leveraging cutting-edge technology and privacy-preserving techniques, sCompute ensures that computations are performed directly on the data without exposing it to any external parties. This approach eliminates the risks associated with sharing and storing data, providing a secure environment for data scientists to unlock its full potential.

By contributing to a worldwide network of data scientists and developers, sCompute users can harness the collective intelligence and expertise to generate valuable insights. This collaborative approach not only accelerates innovation but also fosters a community of like-minded individuals working towards common goals.

The use cases:

• sCompute gives data scientists the access to more data allowing them to better train and test their AI and ML models.
• The platform allows data scientists to apply a range of Machine Learning services to their data by uploading scripts, generating datasets, and applying tools in just a few clicks.
• sCompute enables remote computation so that the users can gather insights from data without the risks involved in handling and storing data, preserving privacy.
• Users are able to create, automate, manage AI/ML workflows with ease. With an IDE interface for data scientists, quickly building and training models directly into a production environment has never been easier.

How it works:

sCompute offers a range of features that maximise the value of their data while preserving privacy. Let’s explore some of the key features:

1. Access High-Quality, Zero-Party Data: With sCompute, users gain access to a vast pool of high-quality, zero-party data. This unique resource allows you to enhance the accuracy of Artificial Intelligence models and overcome the limitations of traditional datasets.
2. Accelerate Innovation: By accessing more data for training and testing AI and ML models, developers can push the boundaries of innovation. sCompute opens doors to data that would typically be hard to reach without risking data security.
3. Privacy-Preserving Data Computation: sCompute enables remote computation, allowing users to extract valuable insights from private data without the risks associated with handling and storing it. Swash data remains secure and private throughout the entire process.

With an intuitive user interface and a seamless model creation, sCompute streamlines the data computation process, saving time and effort. Within the platform, data scientists are able to upload and create their model in just a few clicks. Additionally, they can choose from a range of currencies to pay the computation fee. They only pay for the computation, not the data itself.

By leveraging users’ data through machine learning models, sCompute enables businesses to enhance personalisation, improve user experiences, and optimise marketing strategies. With its privacy-preserving approach, sCompute ensures that data remains secure and private throughout the entire process, allowing businesses to unlock the power of data while maintaining data privacy. Experience the transformative capabilities of sCompute and unlock a world of untapped possibilities, driving better customer engagement, higher conversion rates, and, ultimately, improved business outcomes.

To learn more about sCompute or if you have any questions, feel free to get in touch with us. We also welcome all product and feature related discussions and questions over at our bustling Discord channel.

About Swash

Know your worth and earn for being you, online.

Swash is an online earning portal where you can earn up to $200 per month for being active and completing tasks online. Whether you’re surfing the web, seeing ads, or sharing opinions, you deserve to be thanked for your efforts.

New ways to amp up your earnings are added to Swash every month!

Alongside the Swash earning dashboard, Swash consists of a wide network of interlinking collaborators including:

• brands that publish ads with Swash Ads
• businesses that buy and analyse data with sIntelligence
• data scientists who build models with sCompute
• developers who innovate on the Swash stack
• charities who receive your donations with Data for Good

Swash has completed a Data Protection Impact Assessment with the Information Commissioner’s Office in the UK and is an accredited member of the Data & Marketing Association.

Let’s connect:

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