DeeperML - #aitools

Cisco has announced new agentic AI tools designed to improve both customer and employee experiences. The unveiling includes the Webex AI Agent, set to be generally available later this month, which aims to address customer service requests around the clock with human-like natural language. Additionally, the firm introduced 'Cisco AI Assistant for Webex Contact Center,' offering suggested responses and real-time conversation transcripts for human agents.

Other offerings include ‘Workflow Automation in Cisco AI Assistant for Webex’ integrating Cisco’s tools with enterprise apps like Salesforce, ServiceNow, and Jira. ‘AI Capabilities in Webex Control Hub’ functions as a platform for IT admins to manage AI ecosystems and view analytics on AI usage and employee adoption. Cisco CPO Jeetu Patel stated that agentic AI is reinventing how people and technology work together across both physical and digital realms.


References :

• www.itpro.com: Cisco unveils new agentic AI tools to improve customer and employee experience
• Salesforce: Building the AI Powered Workforce: Inside Salesforce’s Strategy for Agentic AI Adoption

Classification:

• HashTags: #AgenticAI #AItools #CustomerExperience
• Target: Businesses
• Feature: Agentic AI
• Type: AI
• Severity: Informative

Several companies are pushing advancements in Retrieval Augmented Generation (RAG) technology, aiming to enhance AI capabilities. Contextual AI is focusing on developing specialized RAG agents designed for expert knowledge work, enabling more accurate and efficient AI solutions for specific domains. These agents are engineered for high-value, domain-specific knowledge tasks, representing a significant step beyond general-purpose RAG. Contextual AI has also launched a platform with features to build, evaluate, and deploy these RAG agents.

Ragie has unveiled new tools including Ragie Connect, which simplifies the integration of RAG pipelines into SaaS applications, allowing developers to easily embed RAG into their applications by connecting user data with minimal code. Ragie also announced Advanced Retrieval Mode and Base Chat. Advanced Retrieval Mode is designed to enhance retrieval accuracy using hybrid search and recency bias to prioritize current data. Ragie Base Chat is an open-source, multi-tenant chatbot, allowing companies to interact with their data from various sources like Google Drive and Salesforce, acting as a self-hosted solution to chat with their data.


References :

• aithority.com: Ragie Launch Week: Game-Changing RAG Tooling for Developers
• techstrong.ai: Contextual AI Specialized Agents, Even More Raggy than RAG
• www.marktechpost.com: Chat with Your Documents Using Retrieval-Augmented Generation (RAG)
• MarkTechPost: Chat with Your Documents Using Retrieval-Augmented Generation (RAG)

Classification:

• HashTags: #RAG #AItools #AIWorkflow
• Target: AI Developers
• Product: RAG Applications
• Feature: RAG Tooling and Custom Agents
• Type: AI
• Severity: Informative

Anthropic is gaining traction in the AI infrastructure space with its Model Context Protocol (MCP), introduced last November as an open standard for secure, two-way connections between data sources and AI-powered tools. This protocol is designed to simplify the process of building AI agents by providing a standard way for applications to retrieve data, allowing agents to take actions based on that data. Microsoft and Cloudflare have already announced support for MCP, with Microsoft highlighting that MCP simplifies agent building and reduces maintenance time.

The MCP protocol works by taking natural language input from a large-language model and providing a standard way for MCP clients to find and retrieve data stored on servers running MCP. This is analogous to the API, which made web-based computing a standard. Previously, developers needed to set up MCP servers locally, which was impractical for most users. This barrier to entry has now been removed.

In other news, Anthropic is facing a legal challenge as music publishers' request for a preliminary injunction in their copyright infringement suit was denied. The publishers alleged that Anthropic's LLM Claude was trained on their song lyrics. However, the judge ruled that the publishers failed to demonstrate specific financial harm and that their list of forbidden lyrics was not final, requiring constant updates to Anthropic's guard rails. The case is ongoing, and the publishers can collect more evidence.


References :

• Runtime: Why AI infrastructure companies are lining up behind Anthropic's MCP

Classification:

• HashTags: #Anthropic #Databricks #AItools
• Company: Anthropic
• Target: Businesses and AI developers
• Product: AI Tools
• Feature: Partnerships
• Type: AI
• Severity: Informative