October 3, 2024: Dataiku Unveils LLM Guard for AI Deployment - Dataiku Inc. has launched LLM Guard Services to enhance enterprise generative AI deployment. The suite includes Cost Guard, Safe Guard, and Quality Guard, integrated into Dataikus Universal AI Platform, aiming to overcome challenges in scaling and managing large language models. By focusing on cost management, data safety, and quality assurance, LLM Guard ensures reliable AI applications for enterprises. This move addresses frustrations with AI reliability, enabling consistent performance and democratizing AI use with scalable evaluation methodologies.

October 3, 2024: Credo AI Automates AI Governance for Enterprises - Credo AI has launched its Integrations Hub, a platform designed to automate AI governance by linking enterprise AI applications to a centralized system. It connects with platforms like Amazon SageMaker and Microsoft Dynamics 365 to streamline compliance checks and ensure responsible AI use from development onset. CEO Navrina Singh emphasizes its role in helping Global 2000 companies meet evolving regulations, such as New York City Law 144, by easily collecting essential compliance data. The Hub offers ready integrations with popular tools, with custom options available for an additional fee.

October 3, 2024: Voyage AI Secures $20M for Advanced Data Solutions - Voyage AI raised $20 million led by CRV, with support from Snowflake and Databricks, boosting its total funding to $28 million. The Palo Alto-based startup specializes in AI data management, offering models that efficiently convert data into embeddings for AI processing. Voyage AIs new voyage-3 models outperform OpenAIs algorithms in retrieval quality and cost-effectiveness. Additionally, Voyage launched rerankers to enhance search result relevance. The funds will expand its AI model portfolio, solidifying its position in the data management landscape.

October 3, 2024: OpenAI Unveils ChatGPTs New Text and Code Editor - OpenAI introduces canvas, a ChatGPT feature enhancing text and code editing. Canvas resembles a word processor, offering grammar checks and readability adjustments while aiding developers with coding issues, bug fixes, and documentation generation. Powered by a custom GPT-4o model, its designed for better user interaction by reducing unnecessary activations and improving file edits quality. Initially available to ChatGPT Plus and Team users, canvas will soon roll out to Enterprise, Edu, and free versions after beta testing.

October 3, 2024: OpenAI Unveils Canvas, Rivals Claude Artifacts - OpenAIs new ChatGPT feature, Canvas, challenges Anthropics Claude Artifacts by enabling users to view, edit, and refine ChatGPT outputs easily in a side-by-side panel. Built on the GPT-4o model, Canvas simplifies writing and coding tasks, allowing direct edits, suggestions, and language translations. The interface resembles familiar document formats for easy use. Initially for ChatGPT Plus and Teams, Canvas will soon be available to all users. The launch marks OpenAIs foray into streamlining chatbot collaboration, echoing features seen in Claude Artifacts and other third-party applications.

October 3, 2024: Sonar Enhances AI Code Quality Assurance - Sonar has launched AI Code Assurance and AI CodeFix for its SonarQube and SonarCloud services to address AI-generated code glitches. These tools inspect code from AI copilots for quality and security, offering developers guided reviews and fixes for issues like security flaws and non-existent libraries. Using OpenAIs language model, AI CodeFix suggests improvements, supporting languages like Java, Python, and C++. While AI-assisted coding adoption is gradual, Sonar aims to enhance trust and efficiency in AI-generated software development with its latest offerings.

October 3, 2024: Darktrace Launches Agentless AI Security on Azure - Darktrace PLC has extended its AI-driven cloud detection and response system, Darktrace / CLOUD, to Microsoft Azure. The agentless solution enables swift deployment, integrating with Azures virtual network flow logs to capture network data. This approach reduces costs and operational impact while enhancing security by continuously assessing cloud configurations against industry standards. The rapid deployment, taking just 15 minutes, allows security teams to efficiently manage their cloud environments. The expansion follows Thoma Bravos recent $5.3 billion acquisition of Darktrace, affirming its commitment to advancing cloud cybersecurity.

October 3, 2024: Dataiku Unveils LLM Guard Services Suite - Dataiku launches LLM Guard Services, a new suite of tools designed to streamline generative AI deployment for enterprises. Integrating with Dataikus Universal AI Platform, the suite addresses cost, quality, and safety concerns through its Cost Guard, Safe Guard, and Quality Guard solutions. These tools help manage large language models efficiently, ensuring reliable and scalable AI applications across organizations. Dataiku, backed by $1.04 billion in funding, aims to mitigate risks and enhance the performance of generative AI in enterprise settings.

October 3, 2024: Credo AI Streamlines AI Governance with New Hub - Credo AI has launched its Integrations Hub, enabling enterprises to automate AI governance by connecting AI Ops and business tools like Amazon SageMaker and Microsoft Dynamics 365 to a centralized platform. This integration allows for seamless compliance checks by automating metadata collection and connecting with existing model stores. Designed for Global 2000 companies, the Hub aims to simplify AI governance from developments onset. Credo AI sets itself apart by focusing on meeting regulatory requirements, positioning as an essential tool amid increasing demand for responsible AI solutions.

October 2, 2024: Google Cloud Supercharges Databases for Gen AI - Google Cloud updates AlloyDB, Spanner, and Memorystore with features supporting generative AI workloads. ScaNN vector index in AlloyDB and rapid vector search in Memorystore boost performance. Firebase Data Connect, Googles new relational database for Firebase, and fleet management for Spanner in Database Center simplify database oversight. Oracle Database@Google Cloud expands availability with a new region in Sao Paulo.

October 2, 2024: Kyndryl Aids Struggling Microsoft 365 Copilot Users - Kyndryl has launched new consulting services to help enterprises better utilize Microsofts Copilot for Microsoft 365. Leveraging extensive AI deployment experience, Kyndryls Microsoft Gen AI for the Workplace aims to enhance Copilots adoption and impact. Services include deployment assistance, continuous management, and a Copilot Value Discovery Workshop to align technical skills and goals. This launch follows widespread customer dissatisfaction with Copilots performance and value.

October 2, 2024: Tech Giants Launch AI-Powered Cancer Research Initiative - AWS, Nvidia, and other tech leaders have launched CAIA, a new AI-driven cancer research alliance backed by $40 million in funding. Sponsored by the Fred Hutchinson Cancer Research Center and three other major cancer institutes, CAIA aims to revolutionize cancer care by developing industry standards, enhancing federated AI collaboration, and improving cancer-related data analysis. The initiative plans to unveil new research insights, including therapeutic targets and tumor biology, by the end of 2025, while expanding its membership and aspiring to raise $1 billion for future endeavors.

October 2, 2024: OpenAI Raises $6.6B, Valued at $157B - OpenAI secured a record $6.6 billion funding round, doubling its valuation to $157 billion. Thrive Capital led the investment, joined by major firms like Microsoft and Nvidia. The funding aims to support AI research and a potential structural reorganization into a benefit corporation. OpenAIs services are projected to bring in $3.7 billion in revenue this year, despite expected losses of $5 billion. With over 250 million weekly users, the company plans to expand its AI leadership, increase compute capacity, and possibly develop custom machine learning hardware.

October 2, 2024: Crescendo Secures $50M for AI Customer Service Platform - CrescendoAI Inc. raised $50 million in a Series C funding round led by General Catalyst, valuing the startup at $500 million. The company offers an AI-powered customer service platform, featuring its CX Assistant to handle simple queries and directs complex issues to a professional team, eliminating the need for companies to create separate contact centers. The platform supports multiple customer service use cases, and its AI-driven responses are customizable and translatable in over 50 languages. This funding supports its expansion, including acquiring PartnerHero, to revolutionize the contact center industry.

October 2, 2024: Nvidia, Accenture Team Up for Advanced AI Agents - Nvidia and Accenture have partnered to leverage 30,000 Accenture consultants trained in Nvidia technology to develop autonomous AI agents for global clients. The collaboration combines Accentures AI platform with Nvidias advanced frameworks like NeMo and NIMS, facilitating faster and smarter AI-driven solutions. This partnership aims to push the boundaries of AI autonomy, enhancing enterprise functionality and simulation, and driving new revenue avenues.

October 2, 2024: OpenStack Dalmatian Boosts AI and Security - OpenStacks 2024.2 Dalmatian release enhances AI, security, and user experience. It offers improvements for AI and high-performance computing, including better GPU resource allocation and persistent virtual GPU support. Security is bolstered with hashed rescue passwords and mandatory HTTPS for service communication. Usability is enhanced with a production-ready Skyline dashboard, Ironics self-service runbooks, and Manilas metadata control. The release reflects OpenStacks dedication to integrating with open-source tools and evolving tech needs.

October 2, 2024: AI, Trust, and IP: Future of Digital Content - AI and changing trust dynamics are reshaping advertiser and content creator strategies, particularly among Gen Z. At EmTech MIT 2024, experts highlighted a shift toward social validation and the critical role of language models in brand perception. IP rights protection through blockchain, like Story Protocol, is increasingly vital. Tech leaders predict an imminent supercycle driven by AI, biotechnology, and advanced sensors, promising rapid societal transformation.

October 1, 2024: Microsoft Copilot Enhances AI with Vision, Voice - Microsofts Copilot now can read screen content, reason deeply, and communicate aloud with users. New features include Copilot Vision for analyzing web content via Edge, Think Deeper for complex problem-solving, and Copilot Voice for spoken interactions. The updates focus on privacy, with data deleted post-interaction and restrictions on paywalled/sensitive content. Available in select regions, the AI assistant also offers personalization based on user history, except in the EU.

October 1, 2024: Microsoft to Compensate Publishers for AI Content - Microsoft will pay publishers for content used in Copilot Daily, a new AI-powered feature providing daily weather and news summaries. Reuters, Axel Springer, Hearst Magazines, and The Financial Times have partnered for the U.S. and U.K. launch. This move aligns with other AI vendors like OpenAI and Perplexity, who also compensate publishers to mitigate copyright concerns and acquire training data. Despite criticism over deal structures and the news industry shedding jobs, Microsoft aims to support sustainable journalism amidst Big Techs impact on ad revenue.

October 1, 2024: Meta Dodges Privacy Questions on Smart Glasses - Metas AI-powered Ray-Ban smart glasses discreetly capture photos with keywords, but the company wont confirm if these images are used to train AI models. Metas silence raises privacy concerns, especially with new features streaming real-time images for AI processing. Users unawareness of passive photo capture adds to the anxiety. While Meta broadly uses public social media data for AI, it refuses to clarify its stance on images from these glasses, contrasting with other AI firms like Anthropic and OpenAI, which explicitly avoid training on user data.