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5 Hardware Accelerators Every Data Scientist Should Leverage

Smart Data Collective

It helps developers create and maintain highly effective machine learning applications that operate in the cloud. Among other benefits, this helps make sure global computing resources are used as efficiently as possible and allows data science companies to take advantage of these resources at a reduced cost. IBM Watson Studio.

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Top 6 Mulesoft Alternatives & Competitors in 2024

Astera

Mulesoft and Its Key Features MuleSoft provides a unified integration platform for connecting applications, data, and devices on-premises and in the cloud. Built on Java, its Anypoint Platform acts as a comprehensive solution for API management, design, monitoring, and analytics. Provides robust data profiling and quality features.

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 Top 5 Data Preparation Tools In 2023

Astera

Data Security Data security and privacy checks protect sensitive data from unauthorized access, theft, or manipulation. Despite intensive regulations, data breaches continue to result in significant financial losses for organizations every year. According to IBM research , in 2022, organizations lost an average of $4.35

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Data Quality Tools: Top 8 for 2023 & Beyond

Astera

Interactive Data Grid: The tool offers agile data correction and completion capabilities allowing you to rectify inaccurate data. You can visualize and explore data intuitively for accuracy and consistency. Data Catalog: The tool enables you to discover, understand, and utilize your data resources.

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5 Best Claims Automation Software in 2024

Astera

IBM estimates that the insurance industry contributes significantly to the creation of 2.5 quintillion bytes of data every day, with claims data being a major contributor to this massive volume. Manual processing of this data is no longer practical, given the large data volume.

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Automated Financial Data Integration for Fraud Detection | Astera

Astera

According to a survey by Experian , 95% of organizations see negative impacts from poor data quality, such as increased costs, lower efficiency, and reduced customer satisfaction. According to a report by IBM , poor data quality costs the US economy $3.1 Once the workflow is established, you must monitor the pipeline.

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10 Best Informatica Alternatives & Competitors in 2024

Astera

Its implementation requires significant investments in hardware and infrastructure, making the overall total cost of ownership (TCO) much higher—even in the long run. For example, with Astera, you can: Establish native connectivity to a range of data sources and destinations, both on-premises and cloud-based.