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Data

Top Open-Source Vector Databases: FAISS vs. Chroma & More

At AIMultiple, we develop and evaluate Generative AI technologies, including custom GPTs, AI agents, and cloud GPUs. A key enabler of these advancements is vector databases, which optimize high-dimensional data storage and retrieval for AI applications.

Apr 88 min read
Top 10 Data as a Service Companies in 2025

Top 10 Data as a Service Companies in 2025

Data fuels generative AI and enterprise innovation. Data as a Service (DaaS) is a cloud computing model that provides data on demand to users, usually on a subscription basis. This streamlines data collection and management.

Mar 246 min read

Data Transformation in 2025: 5 Challenges & Best Practices

In today’s digital expansion and digital transformation era, data has emerged as the cornerstone in many sectors, underpinning decision-making processes in business, government, health, and more. The advent of generative AI even elevated the importance of data and its use cases.

Nov 84 min read

7 Key Regulations to know for Data Compliance in 2025

With more data being collected and processed than ever, protecting sensitive information and following relevant data security rules are essential. Data compliance is important not only for legal reasons but also for managing insider threats and maintaining a strong customer reputation.

Jan 206 min read

Machine Learning in Data Integration: 8 Use Cases & Challenges

Integrating and analyzing data from disparate sources effectively has become paramount. Data integration often presents challenges, ranging from managing AI data quality to ensuring security. As organizations grapple with these obstacles, Artificial Intelligence (AI) and Machine Learning (ML) are emerging as transformative technologies, offering innovative solutions to simplify and enhance data integration processes.

Apr 295 min read

Data Quality in AI: Challenges, Importance & Best Practices

Poor data quality hinders the successful deployment of AI and ML projects. Even the most advanced AI algorithms can yield flawed results if the underlying data is of low quality. We explain the importance of data quality in AI, the challenges organizations encounter, and the best practices for ensuring high-quality data.

Mar 285 min read
Guide To Machine Learning Data Governance in 2025

Guide To Machine Learning Data Governance in 2025

In this article, we explain machine learning data governance. We explain its key principles, benefits, use cases, best practices, and our future expectations of data governance.

Jan 104 min read
7 Master Data Management Use Cases in 2025

7 Master Data Management Use Cases in 2025

In this article, we explain 7 master data management use cases. Master data management has been frequently searched since the 2020s.

Jul 235 min read
7 Key Data Fabric Use Cases in 2025

7 Key Data Fabric Use Cases in 2025

In this article, we explain 7 key data fabric use cases such as data integartion, data analytics, data governance, and data virtualization.

Jul 234 min read
Data Preprocessing in 2025: Importance & 5 Steps

Data Preprocessing in 2025: Importance & 5 Steps

Almost every business depends on data to grow; in the near future1, leveraging the power of data might become a necessity for their survival.

Sep 234 min read