Hub AI in practice

Artificial Intelligence is present in everyday life – from “googling” to facial recognition to vacuum cleaner robots. AI tools are becoming more and more elaborate and support people and companies more effectively in their tasks, such as generating graphics, texting or coding, or interpreting large amounts of data.

What AI tools are there, how do they work, how do they help in our everyday world – and how do they change our lives? These are the questions we address in our Content Hub Artificial Intelligence in Practice.

AI in practice

Google leans on token metrics, not revenue, adding to bubble talk about AI growth

AI in practice

OpenAI launches GPT-5 as a unified system with adaptive reasoning for complex tasks

AI in practice

OpenAI releases its first open-weight language models since GPT-2 with GPT-oss

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AI in practice
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AI startup Cohere has raised $270 million in funding from investors including Nvidia, Oracle, and Salesforce. Cohere specializes in developing generative AI for businesses that securely handles sensitive company data, offering Large Language Models (LLMs) that can be tailored to customer needs. Founded by former members of Google's Brain Team, the company's language model is built on the Transformer architecture. Cohere now has offices in Toronto, Palo Alto, San Francisco, and London.

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Salesforce introduces Marketing GPT and Commerce GPT, powered by the Salesforce Data Cloud and the Einstein GPT generative AI assistant, to enhance its Marketing Cloud and Commerce Cloud services.

Marketing GPT uses natural language prompts and AI-driven segment intelligence to improve the creation, delivery and analysis of personalized campaigns. Commerce GPT translates product descriptions for different audiences, with a focus on improving personalized shopping experiences. Available in summer 2023, these products reflect Salesforce's increased focus on putting AI at the core of its services.

AI in practice
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Google Cloud has launched the Enterprise Search on Generative AI App Builder, a tool that enables organizations to build custom chatbots and semantic search applications.

The tool provides a scalable approach that can handle multimodal data and ground outputs in specific data sources for accuracy. Notable early adopter Mayo Clinic is testing the tool to facilitate fast and efficient interpretation of patient health data, such as medical history and genomic information. The goal is to reduce administrative tasks and improve physician efficiency while maintaining a high level of privacy.

Video: Google

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Spot, Boston Dynamic's mobile robotic inspection platform, now includes thermal monitoring, acoustic leak detection and gauge reading capabilities.

These new capabilities make it easier to perform critical industrial tasks and enable autonomous robots to augment the global workforce, according to the company. Improved inspection workflows help prevent costly equipment failures and unplanned downtime. Oh, and Spot can now use its arm to autonomously open doors during missions, allowing the robot to access new inspection routes and move between rooms unassisted.

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Instagram is testing an AI chatbot with 30 personalities, according to a screenshot leaked on Twitter by Alessandro Paluzzi. The chatbot feature is designed to answer questions, offer advice, and help users compose messages.

Meta hasn't officially announced any plans for social AI chatbots, but other companies like Snap have recently experimented with similar elements. The potential challenge is creating a chatbot that is safe, but still engaging, especially for young people. Meta declined to comment on Instagram's AI chatbot plans, but in April, Meta CEO Mark Zuckerberg confirmed that his company was working on AI chats for WhatsApp and Messenger.

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AI research

Gemini 3 Pro tops new AI reliability benchmark, but hallucination rates remain high

AI research

Researchers push "Context Engineering 2.0" as the road to lifelong AI memory

AI and society

German court deepens the split on AI and copyright with its latest ruling

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