Interactive Voice and Camera Input

Users can initiate conversations by tapping the new "Live" button in the Google app on Android and iOS, allowing for real-time voice interactions and camera-based queries.

Enhanced Search Capabilities

Search Live provides AI-generated responses and relevant web links, facilitating a more interactive and informative search experience.

Practical Use Cases

The feature is designed for real-world scenarios, such as identifying tools for making matcha or setting up new electronic devices by pointing the camera at components.

Integration with Google Lens

Search Live is also accessible through the Lens app, allowing users to engage in voice conversations while sharing their camera feed for visual context.

Availability

Currently, Search Live is available to English-speaking users in the U.S., with plans for broader rollout in the future.

Introduction of Anthropic Models

Microsoft has integrated Anthropic's Claude Sonnet 4 and Claude Opus 4.1 into Microsoft 365 Copilot, offering users alternative AI capabilities alongside OpenAI's models.

Enhanced Flexibility in Researcher and Copilot Studio

Users can now switch between OpenAI and Anthropic models in the Researcher tool, and combine different models from various providers in Copilot Studio via Azure's model catalog.

Improved Performance in Excel and PowerPoint

Preliminary reports suggest that Anthropic's models outperform OpenAI's in tasks within Excel and PowerPoint, leading to their adoption in these applications.

Hosting and Future Integration Plans

Currently, Anthropic's models are hosted on Amazon Web Services, but Microsoft is considering future hosting arrangements with Azure. Additionally, there are plans to deploy these models in Excel and PowerPoint.

Strategic Shift in AI Partnerships

This move signifies Microsoft's strategic shift towards diversifying its AI partnerships, as evidenced by the adoption of Anthropic's models over OpenAI's in certain applications.

Assess Your Customer Support Needs

List the types of questions or issues your customers frequently have, your current support process, and common pain points. Feeding this information into AI helps the chatbot understand what it needs to handle.

Choose an AI Chatbot Platform

Select a platform like OpenAI GPT, Google Dialogflow, or Microsoft Azure Bot Service that fits your needs. These tools allow you to build, train, and deploy chatbots with minimal coding.

Prepare a Knowledge Base

Gather FAQs, product details, troubleshooting steps, and company policies. Organize the content clearly so the AI can retrieve accurate answers and guide users effectively.

Build and Train the Chatbot

Input your knowledge base into the chosen platform. Test it with sample queries to ensure it understands customer intent and provides helpful responses. Add fallback replies for questions it cannot answer.

Deploy, Monitor, and Improve

Integrate the chatbot into your website, app, or messaging platform. Monitor conversations, gather user feedback, and update the knowledge base regularly to improve accuracy and relevance.

Castmagic – Audio Content Transformation

Castmagic turns long-form audio and video into actionable content like transcripts, summaries, show notes, social media posts, and blog drafts. It supports imports from platforms like YouTube, Vimeo, and Instagram, making it ideal for podcasters, educators, and content marketers looking to repurpose content efficiently.

WriteMe.ai – AI Content Writing Assistant

WriteMe.ai helps users generate high-quality written content quickly using AI. It offers tools to create blog posts, emails, social media content, and more, all tailored to the user’s style and goals. The platform streamlines content creation, saving time while maintaining consistency and quality.

Azure Machine Learning – Enterprise AI Service

Azure Machine Learning enables businesses to build, train, and deploy machine learning models at scale. It supports frameworks like PyTorch, TensorFlow, and scikit-learn, and includes MLOps tools to monitor, retrain, and redeploy models. This makes it perfect for data scientists and engineers managing enterprise AI workflows.

Marqo – Multimodal Vector Search

Marqo is an AI-powered vector search engine for text, images, and code. It simplifies storage, search, and retrieval of unstructured data through an easy-to-use API. Developers and data scientists can leverage Marqo to build fast, intelligent search solutions across multiple data types.

GameRamp 

GameRamp is revolutionizing mobile game publishing with an AI-native operating system that automates monetization and scaling. Their platform offers tools like Sentinel for real-time in-game personalization and Grow for embedded financing. Backed by a $5.4 million pre-seed round led by BITKRAFT Ventures, GameRamp aims to empower developers to scale faster and more efficiently. 

The Humble Hackers 

The Humble Hackers specialize in building AI-powered chat tools, content strategies, and app development solutions for brands. Their focus on rapid, SEO-first websites and smart automation helps businesses plan, build, and grow with cutting-edge technology. 

Kognify Matrix Labs 

Kognify Matrix Labs bridges academic learning and practical application through real-world internships in AI and data science. They specialize in AI integration, intelligent automation, CRM & ERP development, and custom automation solutions, empowering businesses to unlock the full potential of their data. 

Maze 

Maze is an AI-native security platform that uses autonomous agents to investigate and resolve cloud vulnerabilities. With a $31 million funding round led by Theory Ventures, Maze aims to automate vulnerability management and enhance cloud security.