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This week, AI agents are becoming great team players. They are working with humans in many different jobs. This is called agent collaboration. It means AI agents and people help each other to get things done. This week, we saw new AI agents in data science, banking, customer service, and defense.

In data science, **Snowflake** launched a **Data Science Agent**. This happened at the Snowflake Summit 2025. The agent is like a smart helper for data scientists. It uses **Claude LLMs** to understand what people say in normal language. For example, a data scientist can tell the agent, \"Look at this data and find patterns.\" The agent will then do the work. It breaks big tasks into smaller steps. This makes it easier to build machine learning models. The agent lives inside Snowflake's system, so it works smoothly with the tools data scientists already use. This saves a lot of time and lets data scientists focus on the most important parts of their work. [1]

Banks are using AI agents too. **BNY Mellon**, a big bank in the USA, has two agents. The first agent looks for weak spots in the bank's computer systems. When it finds one, it can fix it, but only after a human says it's okay. The second agent checks payment instructions. It makes sure that when someone sends money, the instructions are correct. This prevents mistakes. **JPMorgan Chase**, another big bank, gave an AI chatbot to all 230,000 of its workers. Now, every employee has an AI helper. The bank is also making special AI agents for different jobs. For example, a loan officer might have an agent that knows everything about loans. A trader might have an agent that knows about the stock market. These agents are designed to help with the exact tasks that each worker does every day. [1]

In customer service, **Cisco** introduced the **Webex AI Agent**. This agent works with human agents all the time, 24 hours a day, 7 days a week. It can answer common customer questions. For example, if a customer asks, \"What is my account balance?\" the agent can answer right away. It can also do tasks like resetting a password or changing a service plan. This means customers don't have to wait in line to talk to a human agent. The AI agent uses natural language, so it sounds friendly and helpful. It fits perfectly with Cisco's contact center, which is where customer service agents work. This makes it easy to use. [3]

**Five9**, a company that makes customer service tools, added **Agentic CX** to its Genius AI platform. Agentic CX is a set of features that make AI agents smarter. These agents can think for themselves, change their actions based on the situation, and do things without being told every step. For example, if a customer is upset, the agent might notice and be extra nice. Or if a customer needs help with a product, the agent can guide them step by step. This takes some of the work off human agents. It also makes customers happier because they get quick and helpful service. [3]

In defense, two companies are working together. **HII**, a company that makes ships and technology for the military, and **C3.ai**, a company that makes AI software, are partners now. They announced their partnership on July 3. They will build AI solutions for the **U.S. Navy**. This could include AI that helps sailors make decisions during missions. It might also include AI that controls robots on ships. The Navy will use this AI to keep the country safe. This partnership shows that AI agents are also becoming important in national defense. [4]

All these examples show that AI agents are getting better at teamwork. They are not replacing humans but helping them. In the future, we might see even more teamwork between agents and humans. For example, in healthcare, agents might help doctors by finding important information in patient records. In factories, agents might work with robots to build things faster and safer. The possibilities are endless. This week's news shows that agent collaboration is growing fast and will change how we work.

This week in agent collaboration, there were exciting developments. Companies are creating AI agents that work together with humans to make tasks easier and faster. These agents are being used in many areas, including data science, banking, customer service, and defense.

Snowflake, a data company, launched a new **Data Science Agent** at the Snowflake Summit 2025. This agent helps data scientists by doing machine learning jobs automatically. It uses **Claude LLMs** from Anthropic to understand natural language commands. The agent can break down complex tasks into steps, making it easier to build machine learning models. This saves time and effort for data scientists. [1]

In banking, two big banks in the USA started using AI agents. **BNY Mellon** has two agents: one that automatically patches system vulnerabilities (with human approval) and another that validates payment instructions. These agents help make the bank's systems safer and payments more accurate. **JPMorgan Chase** expanded its AI chatbot to 230,000 workers. The bank is also building **agentic AI** for specific job functions. This means different workers will have AI helpers designed for their exact jobs. [1]

For customer service, **Cisco** introduced the **Webex AI Agent**. This agent works with human agents day and night. It answers common customer questions and does tasks without making people wait. It uses natural language and fits with Cisco's contact center. The agent can take actions to help customers right away. **Five9** also added **Agentic CX** features to its Genius AI platform. These features let AI agents reason, adapt, and act to create smooth and smart customer experiences. [3]

In defense, a company called **HII** and an AI company **C3.ai** are working together. They formed a strategic partnership to build AI solutions for the **U.S. Navy**. This will help the Navy use the latest AI technology for important missions. The partnership was announced on July 3 and is a big step for AI in defense. [4]

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