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Google Expands AI-Powered NotebookLM to 200+ Countries

Google has extended its AI note-taking tool, NotebookLM, to over 200 countries, including India and the UK. Powered by Google’s LLM Gemini 1.5 Pro, the platform now supports 108 languages and enables users to generate summaries and ask questions based on uploaded documents. Originally showcased as Project Tailwind at Google I/O 2023, NotebookLM assists in summarizing and querying documents using AI. It now allows sourcing content from Google Slides and web URLs, in addition to Google Docs and PDFs. New features include inline citations for fact-checking and a Notebook Guide for content conversion. Google Labs’ editorial director highlighted its applications in research, writing, and content creation. Google assures user privacy, stating that data uploaded on NotebookLM is not used for training algorithms. Future plans include integrations with note-taking apps and Audio Overviews powered by the Gemini model.

Google Play Implements Stricter Guidelines for AI Apps Amid Deepfake Nude Concerns

Google is taking action to regulate AI apps on Google Play following the circulation of apps promoting deepfake nude images. The new guidelines require developers to prevent the creation of restricted content, such as sexual and violent material, and provide users with a means to report offensive content. Apps falsely advertising inappropriate features will face removal, even if the capability does not exist. Google aims to filter out apps with harmful AI-generated content through its policies and emphasizes the importance of user feedback and testing to ensure safety and privacy compliance. Developers must adhere to Google’s regulations, including prohibiting the generation of restricted content and refraining from advertising rule-breaking features. Safeguarding against manipulative prompts and documenting testing processes are crucial steps to app approval on Google Play. Google encourages developers to utilize resources like the People + AI Guidebook to build responsible AI apps and maintain user safety in the digital landscape.

Meta Introduces AI-Powered Features to WhatsApp Business App

During Meta Conversations conference in Brazil today, Mark Zuckerberg unveiled AI-powered features for WhatsApp Business apps, enabling the creation of click-to-WhatsApp ads and automated responses to customer messages. Meta aims to facilitate business-customer interactions with AI agents and enhance conversational commerce.

WhatsApp Business users can now utilize AI for creating Facebook and Instagram ads that initiate WhatsApp chats. Meta is testing AI-driven customer support in India and Singapore, with plans to expand to Brazil. AI-generated messages will be clearly marked to distinguish them from human representatives.

Additionally, WhatsApp will leverage AI to target specific customer subsets for messaging beyond order updates. Meta offers these tools for free, targeting merchants seeking efficient CRM solutions. The collaboration with business partners like RelianceJio’s Inerakt and Gupshup aims to scale conversational commerce using generative AI assistants.

Meta’s revenue strategy for WhatsApp Business relies on increasing customer interactions through AI tools, aiming to enhance conversational experiences and drive business growth.

Adobe Introduces AEP AI Assistant for Enhanced Customer Data Management

Adobe unveils the AEP AI Assistant, a groundbreaking update to the Adobe Experience Platform (AEP) at the Summit conference in Las Vegas. The AI Assistant integrates with an enterprise’s customer data and advertising assets to provide real-time insights, personalized content creation, and audience segmentation without the need for SQL knowledge.

The AEP AI Assistant caters to marketers by answering queries, identifying high-value customers, and suggesting optimal re-engagement strategies. It can also generate marketing assets like emails, web pages, and creative briefs using Adobe’s AI image generation model, Firefly.

Future updates will include predictive analytics capabilities for AEP users to forecast conversions and analyze segment attributes. While these features enhance customer engagement and outreach, concerns remain about Adobe’s updated Terms-of-Service agreement regarding remote access to creative content for moderation and machine learning purposes.

Tektonic AI Secures $10M Funding for GenAI Business Automation

Seattle-based Tektonic AI emerges from stealth with a $10M seed funding round led by Point72 Ventures and Madrona Ventures. Co-founded by Nic Surpatanu, the startup combines Generative AI with traditional methods to enable natural language-based workflow automation, focusing on areas like quotes and renewals. Surpatanu emphasizes the importance of combining Generative AI with symbolic methods for optimal automation results. Tektonic aims to enhance adaptability and user intent understanding in business operations, addressing limitations faced by traditional RPA solutions. The company’s approach aims to increase automation efficiency from 50% to 80%, offering a significant advancement in process automation. The team is collaborating with design partners to refine its system, envisioning a future as a SaaS company that seamlessly integrates with businesses’ existing APIs. Currently, Tektonic deployment involves installing the system as a container in a business’ virtual private cloud.