Data
Top No-Code ML Platforms: ChatGPT Alternatives in 2025
We benchmarked 4 no-code machine learning platforms across key metrics: data processing (handling missing values, outliers), model setup and ease of use, accuracy metrics output, availability of visualizations, and any major limitations or notes observed during testing.
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.
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.
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.
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.
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.
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.
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.
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.
Top 10 Data Center Automation Tools with Real-Life Examples
In this article, we will go over seven innovative data center automation tools.