The Low-Code Data Fabric is a platform designed to help businesses improve their data agility and flexibility. It enables companies to deliver data at a faster rate, approximately 5-10 times faster, promoting productivity. The tool offers a low-code and multi-persona platform for data preparation and exploratory data analysis, allowing users to deploy predictive models quickly and easily.
The platform aims to maximize the value of a company’s data scientist team, providing solutions to overcome data productivity challenges. It offers a reliable and efficient way to find insights from data, with multi-view capabilities that simplify the analysis of marketing intelligence.
The Low-Code Data Fabric solution is built on a cloud infrastructure that optimizes resource usage and scalability. It ensures that businesses only pay for the resources needed, reducing unnecessary costs. The platform also focuses on data observability, allowing users to obtain actionable insights from their data.
It simplifies the analysis of individual customer relationships and provides a visually linked view of customer interactions. With an emphasis on simplicity and ease of use, the Low-Code Data Fabric streamlines the process of building and deploying machine learning models. It offers both private and public cloud deployments and supports various technologies such as Apache Nifi, Delta Lake, Airflow, Spark, Parquet, Google Cloud, Azure Cloud, and Kubernetes.
Overall, the Low-Code Data Fabric is a versatile tool that aims to make data science accessible to businesses and empower them to make data-driven decisions. It offers a range of features, including data security, predictive modeling, data governance, and more, and is suitable for a variety of use cases in different industries.
More details about AI Surge
How does AI Surge’s Low-Code Data Fabric solution ensure efficient resource usage?
AI Surge’s Low-Code Data Fabric solution ensures efficient resource usage by being built on a cloud infrastructure that is optimized for resource use and scalability. This means businesses only pay for the resources they need. Virtually, unnecessary costs are reduced.
How easy is it for data scientists to use AI Surge?
AI Surge is perceived to be easy for data scientists based on testimonials from users. The low code platform simplifies the process of building and deploying models, saving significant time. Data scientists have noted that they can build models in hours rather than days.
What platforms can the machine learning applications deploy on with AI Surge?
With AI Surge, machine learning applications can be deployed on low code data fabric, private cloud, public cloud, hybrid cloud or multi-cloud. This flexibility enables firms to select the most suitable platform based on their specific requirements and security preferences.
What is the Low-Code Data Fabric platform?
The Low-Code Data Fabric is a platform designed by AI Surge to help businesses improve their data agility and flexibility. The platform aims to maximize the value of a company’s data scientist team and provide solutions to overcome data productivity challenges. It offers a low code multi-persona platform for data preparation and exploritory data analysis, enabling users to deploy predictive models quickly and easily. The platform is built on a cloud infrastructure that optimizes resource use and scalability.
Which specific technologies are supported by AI Surge?
AI Surge supports specific technologies like Apache Nifi, Delta Lake, Airflow, Spark, Parquet, Google Cloud, Azure Cloud, and Kubernetes. These technologies enhance its ability to efficiently handle data, process it, and deploy self-managed applications.
What types of cloud deployments does AI Surge support?
AI Surge supports various types of cloud deployments including private cloud, public cloud, hybrid cloud, and multi-cloud. This makes it suitable for various business needs and scenarios.
