AI
Discover Latest 6 SAP Datasphere AI Integrations in 2025
SAP Datasphere is AI tool that can help deliver meaningful data to the enterprises that struggle to utilize 60% and 73% of their data for analytics, as the latest big data statistics indicate.
![How AI transforms Cybersecurity: Real-Life Examples [2025]](https://research.aimultiple.com/wp-content/uploads/trends/66f54b024eeb7-190x128.png.webp)
How AI transforms Cybersecurity: Real-Life Examples [2025]
Cyber threats are evolving due to developments in AI in network security and generative AI. By leveraging machine learning, advanced analytics, and automation, AI enables businesses to enhance their security posture, identify vulnerabilities, reduce response times, and allocate resources more efficiently.
Top 10 AI Email Marketing Tools to Boost Campaign Performance
AI email marketing tools allow crafting personalized email marketing messages with minimum manual effort. We identified below solutions based on their capabilities in content generation, marketing automation and optimization.
Compare Top 26 Legal AI Software by Pricing in 2025
In the last 2 decades, I worked with enterprises as a consultant and tech vendor to deploy advanced analytics & AI solutions. I looked into more than 50 legal tech companies using generative AI and categorized the leading products.
Compare Top 20 Manufacturing AI Solutions & Software ['25]
Manufacturing AI solutions can lower maintenance costs and customize product designs. After reviewing over 50 manufacturing AI tools, we identified the top options in the market.
AI Data Collection: Guide, Challenges & Methods in 2025
The growing use of generative AI has led organizations to collect large amounts of data, either independently or through specialized AI data collection services, to effectively train and refine these technologies. As the demand for high-quality data grows, interest in AI data collection has surged.
7 Steps to Developing AI Systems in 2025
Artificial Intelligence (AI) has become an integral part of business success, and its influence is only increasing (Figure 1). From predictive models that help in healthcare diagnostics to natural language processing (NLP) systems like chatbots and personal assistants, AI applications are endless.
Top 10 Vector Database Use Cases in 2025
Processing, storing, and retrieving vast amounts of information rapidly and efficiently is paramount for businesses. Vector databases are a critical emerging technology in addressing this demand. Unlike traditional databases, vector databases focus on high-dimensional vector data, offering unique advantages for certain use cases.
Using Vector Databases for LLMs: Applications and Benefits
Vector databases (VDBs) and large language models (LLMs) like GPT series are gaining significance. Data and computational advancements drive technological trends. Considering the role of vector databases in GenAI applications, their significance and interplay should not be understated. While generative AI like LLMs attracts attention, their supporting infrastructure often remains unnoticed.
Specialized AI Models: Vertical AI & Horizontal AI in 2025
Foundation models like ChatGPT with many capabilities (e.g. translation, text generation) trained on public data have launched the generative AI wave. However, businesses need to work with specialized AI systems trained on private data for increased effectiveness.