Agentic AI
Oracle AI Agents: Top 14 Use Cases & 5 Benefits in 2025
Generative AI is transforming industries, with 72% of companies deploying AI solutions. Oracle leverages advanced generative AI agents combining large language models, natural language processing and retrieval-augmented generation (RAG) to execute complex , multi-step workflows, and integrate with existing business processes. Explore what Oracle AI agents are, how they work, their use cases, and their benefits.
Best AI Code Editor: Cursor vs. Windsurf vs. Replit in 2025
Making an app without coding skills is highly trending right now.
SAP AI Agents: 20 Use cases, Features & Integrations ['25]
SAP predicts that AI agents could support up to 80% of the most-used business tasks in SAP. These agents go beyond automating tasks by solving problems and offering innovative solutions, acting like an extra “brain” for enterprise operations.
AI Agents: Operator vs Browser Use vs Project Mariner ['25]
We spent more than 40 hours testing the top 4 AI agents to see if they can help us in a business process with tool use: We also benchmarked the web search capabilities of AI agents.
Agentic Process Automation: Increase Efficiency with AI Agents
Since current automation technology like RPA relies mostly on rules and custom AI modules, it: APA aims to change this by: Evolution of automation Digital automation is evolving from basic rule-based systems to sophisticated AI-driven processes. Robotic process automation is a rule-based automation technology relying on screen scraping and APIs to interact with business systems.
10+ Open-source AI Agents Based on GitHub Stars in 2025
These open-source AI agents enhance the autonomy of large language models (LLMs) by leveraging tool-use and decision-making capabilities. Some tools described as “AI agents” aren’t actually all that agentic; these systems (e.g.
Large Action Models: Hype or Real? in 2025
Following the launch of Rabbit, an AI device that can use mobile apps, the term large action models (LAMs) is getting popular. These models move beyond conversation by turning LLMs into “agents” that can connect the siloed, app-driven world without requiring a user to click on apps or integrate an API.
5 Steps from Chatbots to Secure Enterprise AI Agents in 2025
Though LLMs are great at text generation, their Enterprise AI agents are being built by leading SaaS vendors to address these issues. These bots need to be able to:[aim_list] [/aim_list] While these are table stakes, how they are implemented is important.
Compare 20+ AI Agent Builders in 2025
After reviewing the documentation and spending several hours tinkering with these AI agent builders, I listed the best open-source frameworks and low-code/no-code platforms. To highlight their use cases, I compared the most popular AI agent frameworks—LangGraph, AutoGen, CrewAI, and OpenAI Swarm—focusing on their ease of use, setup complexity, orchestration flows, and memory features.
Agentic AI: 8 Use Cases and Real life Examples in 2025
A challenge with artificial intelligence (AI), especially generative AI, is that in most complex processes, it requires humans in the loop. Therefore, productivity savings from generative AI remain limited. Agentic AI aims to increase the level of autonomy of AI systems. For example, GenAI can assist employees with writing software code.