AI is being widely adopted in healthcare to address challenges from ageing populations and limited resources. Virtual healthcare platforms use AI to support clinical decisions, improve patient outcomes, and boost efficiency. They automate routine tasks, provide real-time insights, and facilitate team communication. AI-powered virtual nursing and predictive monitoring are gaining traction. One healthcare institution reported a 40% reduction in nursing documentation time using AI. AI is also being integrated with wearables and home monitoring systems for post-discharge care.
Google accidentally revealed Jarvis, an AI program designed to perform web-based tasks by taking over a user's computer. It was briefly available as a Chrome extension before being removed. Jarvis is similar to Anthropic's Claude 3.5 Sonnet in its ability to operate computers like a human. Such AI agents could potentially handle tasks like purchasing tickets or making reservations.
French AI startup Mistral AI has launched a content moderation API using their Ministral 8B model. It detects harmful content in 9 categories across 11 languages, analyzing both text and conversations. Available through Mistral's cloud platform, this positions them to compete with major AI companies on safety issues. Recent partnerships with Microsoft, Qualcomm and SAP boost Mistral's enterprise presence. Their focus on edge computing and safety features may appeal to European firms under strict data regulations.
ChatGPT visits rose 116% year-over-year to 3.7 billion in October 2023. Other AI tools like NotebookLM, Microsoft CoPilot, Perplexity, Claude, and Google's Gemini also saw significant growth. Business leaders are increasingly familiar with generative AI, with 72% using it weekly. Average budgets for generative AI more than doubled to £8.2 million. Many firms are expanding AI teams, with some appointing Chief AI Officers. Concerns about accuracy, privacy, and integration remain.
Microsoft has integrated Copilot Pro AI features into Microsoft 365 subscriptions, replacing the previous $20 monthly add-on. This brings AI capabilities to core Office applications. The decision came after user feedback on standalone pricing. Microsoft 365 subscription prices have slightly increased to accommodate this change. The new pricing is available in select Asia-Pacific countries, with plans for global expansion.
Generative AI is being integrated into business workflows using a 'just-in-time' approach to maximise effectiveness and minimise costs. Some companies are implementing AI systems for specific tasks like report generation and enhancing employee workflows. Retrieval-augmented generation (RAG) services are being used to improve AI output quality without custom training. Whilst some leaders support this approach, others question its universal applicability. The cost-benefit ratio varies depending on the use case.
AI is a transformative technology comparable to electricity and the internet, with potential to improve efficiency across industries. However, realising its full economic impact may take decades and require significant investments in new processes, skills and business models. Some view AI as part of the ongoing IT revolution rather than a separate phenomenon. Managing the societal changes brought by AI and IT is a key challenge.
OpenAI accidentally released an improved ChatGPT model (o1) for a few hours. It showed better accuracy, problem-solving, coding, visual analysis, and image description capabilities compared to ChatGPT-4o. The o1 model uses slower, more thorough reasoning to improve task breakdown and contextual understanding. While no official release date is set, it may be available soon, possibly before year-end.
SambaNova and Hugging Face have launched a tool for one-click deployment of ChatGPT-style applications, including text-only and multimodal chatbots. This integration drastically reduces deployment time and simplifies the process for developers. The companies plan to host a hackathon to promote adoption.
Perplexity AI's CEO offered tech support to The New York Times during a workers' strike, despite recent legal threats from The Times over unauthorised content use. The Times' Tech Guild went on strike before a US election. The Times, along with other media outlets, have taken legal action against Perplexity AI for alleged copyright infringement.
Nvidia has launched AI Blueprint for video search and summarisation, combining computer vision and generative AI. Part of Nvidia Metropolis, it allows developers to create AI agents that analyse visual data, answer questions, and generate alerts. Major companies are adopting it for various industries. The technology uses vision language models, can be deployed on Nvidia GPUs in different environments, and is available for free testing with production deployment through Nvidia AI Enterprise.
Camelot Secure developed an AI tool called Myrddin to assist with CMMC compliance. Integrated into their dashboard, it provides real-time guidance for IT teams conducting assessments. Using advanced AI, Myrddin aims to simplify and accelerate the CMMC process, reducing time and errors. Camelot received an award for this innovation and plans to expand the tool's capabilities in the future.
Companies across sectors are heavily investing in conversational AI powered by large language models, with some firms projected to spend tens of millions annually. A comprehensive list of 50 companies' AI usage, models, and expenditure has been compiled.
Google Drive integration with ChatGPT allows Plus, Team, and Enterprise subscribers to analyse Drive files directly in the chatbot. It supports various file types and enables easy retrieval for analysis, summarisation, proofreading, and translation. Users should review files for sensitive information before uploading, as ChatGPT may use content for model training.
AI agents, acting as autonomous digital employees, are predicted to significantly impact businesses by 2025. Developed by major tech companies, these agents can perform complex tasks, potentially reducing costs and improving efficiency. Companies should prepare to integrate AI agents soon to stay competitive.
Amazon Bedrock has introduced application inference profiles, allowing organisations to tag on-demand models and monitor costs. This feature enables custom tagging for foundation models, improving cost tracking across AI applications. It integrates with AWS services for better cost visualisation and management. The profiles can be created using model ARNs or by copying existing ones, and can be dynamically retrieved using Resource Groups API. This feature is now available in all AWS Regions where Amazon Bedrock is offered, enhancing cost allocation for generative AI initiatives.
