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Google ‘BlueBuddy’ AI assistant to guide Chromebook users through Bluetooth troubleshooting
Google reportedly plans to add new artificial intelligence (AI) technology to Chromebooks that can help people troubleshoot issues with connecting Bluetooth devices to their laptops, as part of its ongoing and fast-moving strategy to integrate AI into its products.
According to a published report, the virtual assistant, “BlueBuddy”, will provide quick and easy answers to user questions if they can’t get a Bluetooth device paired with their Chromebook, something that often is troublesome when using devices that leverage the wireless protocol.
The website Windows Report gleaned details of the virtual assistant from developer documentation for Google’s Chromium web browser project. The documentation made mention of something called “BlueBuddy” that would allow users to “enter an issue and I will recommend a fix.”
The addition of BlueBuddy is in line with various other AI features that Google already has unveiled for Chromebooks, which provide alternatives to Windows laptops and MacBooks and which run the lightweight ChromeOS. Google already has added its much improved Gemini AI chatbot to Chromebook Plus laptops, as well as adding other AI features such as “Help me write,” an AI editing assistant; generative AI wallpaper and video call backgrounds; and Magic editor using AI to enhance photos.
The company did not respond immediately to a request for comment on Tuesday.
A trust issue?As Google competes with Microsoft and other tech giants to achieve AI dominance, integrating the technology seamlessly into various products, including consumer devices, is one key strategic play. Not to be outdone, Microsoft also has integrated its AI assistant, Copilot, into its Microsoft 365 apps, Word, Outlook, and OneNote, to make it easy to accomplish tasks such as generating first drafts and revising text, as well as making other AI improvements.
But one blind spot tech providers may have when it comes to the seamless integration of AI into products that people already use is that, while it’s certainly helpful, maybe customers aren’t quite ready for it because it’s still unproven, observed one expert.
“It’s natural to want to incorporate the newest technological innovations into your products, and when done well, it can have amazing gains in efficiency and productivity,” noted Gal Ringel, co-founder and CEO of data-privacy firm Mine.
However, “in many cases consumers are not yet asking for AI to be added to products,” he said. That’s because “there is still the major issue of trust when it comes to AI, and trying to push the tech through without first asking why consumers are cautious and addressing those issues is not doing AI well,” he noted.
Google’s secure focusStill, Google has a good chance of integrating AI more safely into Chromebook than a competitor like, say, Microsoft, does with Windows machines, because it has full control over the technology, observed Bradley Shimmin, chief analyst of AI platforms, analytics, and data management for research firm Omdia.
“Google really owns the laptop as it sits on the user’s desktop, in terms of how software runs on that machine,” he said. “This allows the company to provide a much better security profile than other systems.”
Google also requires that all ChromeOS devices use secure boot, which means that every time the machine boots up, it’s guaranteed to run without any malware that could possibly have been picked up beforehand, he noted. Moreover, the OS uses strong sandboxing for each app/web to prevent any in-app exposure to risk, Shimmin said.
“Taken together, these efforts means that Google can roll out OS- and app-level functionality to all current Chromebooks in short order,” he said. “And given Google’s strong adherence to security practices, I would imagine that this implementation will focus on user privacy and security.”
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Nvidia reportedly trained AI models on Youtube data
Nvidia scraped huge amounts of data from YouTube to train its AI models, even though neither Youtube nor individual YouTube channels approved the move, according to leaked documents obtained by 404 Media via Futurism.
Among other things, Nvidia reportedly used the YouTube data to train its deep learning model Cosmos, an algorithm for automated driving, a human-like AI avatar, and Omniverse, a tool for building 3D worlds.
Nvidia’s data collection lies in an ethical and legal gray area. According to Youtube’s terms of use, the company is not allowed to use YouTube data without permission. According to 404 Media, several Nvidia employees questioned the data collection and were told by managers that the decision to do so had been approved at the top of the company.
Nvidia already faces legal action, filed in May, alleging it has violated fair use copyright laws.
Adobe’s AI-powered customer journey tool helps ID enterprise buyers
Adobe wants to make it easier for B2B marketers to identify and target groups of enterprise buyers with the integration of AI assistance into a new customer journey planning tool.
Adobe Journey Optimizer (AJO) B2B is now available, the company announced Wednesday, offering an enterprise-focused alternative to the existing AJO tool, which caters to B2C marketing.
One of the key features in AJO B2B is the ability to create buyer groups to target in sales and marketing efforts — a different approach to traditional lead-based and account-based marketing, said Sundeep Parsa, vice president of product for Adobe’s customer journey management portfolio.
Large-scale procurement decisions — such as the purchase of enterprise software or hardware, for example — now often involve lengthy sales processes with input from “committees” of as many as 15 business and technology leaders at customer organizations. This puts pressure on marketing and sales teams to establish relationships with the right people within client organizations and move towards eventual sales, he said.
AJO B2B helps simplify that process by making it easier to access related information, said Parsa, thanks in part to the integration with Adobe’s recently unveiled Experience Platform AI assistant. For example, a sales rep can ask the AI assistant in natural language for details on buying groups at a client organization, and whether any of these are likely to be interested in a particular product.
The AI tool can also provide a “completeness score,” which can indicate that a certain job role is missing from the list of buying group contacts, said Parsa. An example might be a security software vendor that wants to include a CISO or another employee with regulatory knowledge in their sales and marketing efforts.
Adobe Journey Optimizer now has a generative AI-driven email creator.
Adobe
The AI recommendations are based on Adobe’s core model, which understands concepts such as what a buying group is, or what a lead is, alongside custom models developed based on an AJO B2B customer’s own sales and marketing data.
Eventually, Adobe hopes the AI assistant can provide more guidance on how to target individuals within a buying group, such as a suggestion to send white papers and case studies to a technical diligence team, for instance, and an invitation to a decision-maker to an upcoming executive forum event.
The ability to create buying groups is one of several key features in AJO B2B. Once they are identified, users can create tailored “customer journeys” for specific job roles at client organizations across platforms such as email, web, chat, and webinars. Here, the embedded AEP AI assistant can be accessed for how-to advice and troubleshooting as users build customer journeys in the application.
AJO B2B users can then access asset libraries — including images from Adobe’s Firefly generative AI model — to create personalized emails suited to different buyer groups.
Sales and marketing teams can also view each other’s buying group engagements —this will streamline workflows and provide more effective customer connections, said Parsa. “There are less ‘broken telephone’ scenarios; they’re able to collaborate on a common understanding of buying groups,” he said.
Finally, dashboards that provide insights in buying group journey performance are now available in AJO B2B, with the ability to query data via the conversational AI assistant “coming soon,” Adobe said.
“You can say, ‘Give me a trend of the buying groups over the last six months and give me a linearity model by month.’ You can ask that question and the [AI assistant will] generate that for you,” he said.
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