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2 days ago
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- Martechvibe
BigCommerce, Feedonomics Partner with Perplexity
Both companies have partnered with Perplexity to ensure brands can deliver structured, AI-ready product data that improves visibility, accuracy, and conversion in next-gen AI search experiences. BigCommerce, an open SaaS ecommerce platform for B2C and B2B businesses, and Feedonomics, a data feed management solution, have announced that their customers now have access to AI-powered search engine Perplexity to optimise visibility and relevance for brands in AI search results. In the shift from traditional SEO to AI search, it is critical that merchants ensure their products can be syndicated to the right marketplaces and advertising channels or owned channels so they can be found in order to drive traffic and sales. Historical data scraping is inefficient and often inaccurate for large language models. Feedonomics now provides Feedonomics now provides Perplexity with pre-optimised, structured product data, ensuring that the LLM understands and recognises merchants' products, leading to better search results that favour the brand. 'AI-powered search is redefining how consumers discover and engage with products online,' said Sharon Gee, Senior Vice President of Product for AI at BigCommerce and Feedonomics. For consumer brands, this represents a pivotal moment to lead with innovation. 'By delivering high-quality product data directly to LLMs, brands ensure their products surface more accurately and contextually. Ensuring quality data feeds are optimally structured and accessible to AI search channels is a strategic imperative for driving relevance, loyalty and growth in an increasingly competitive digital landscape.' ALSO READ: Feedonomics, YouTube Partner for Shopping Affiliate Program Owen Spencer, Director of Enterprise Applications at Revelyst, said, 'With Feedonomics powering our product data, we have confidence that our catalogue is being presented accurately and optimally to drive results with AI search platforms.' 'Improved visibility and stronger brand consistency are critical for traffic and conversion. Having structured and channel-optimised data in place allows us to take more control of how our products appear in AI-driven experiences, and that is a game-changer for our ecommerce performance in the AI era.' As commerce adopts agentic shopping, where AI agents research, recommend, and even act on behalf of consumers, the quality of the product catalogue is critical. As agentic purchasing evolves, the need for flawless data transfers and optimised, conversion-ready storefronts becomes paramount. Together, BigCommerce, Feedonomics and Makeswift provide the data and storefront software that enable this critical connectivity and better performance for merchants on virtually any ecommerce platform to optimise revenue. 'Some aspects of the AI future are already clear—consumers want agentic experiences throughout their shopping journey, and they turn to Perplexity for accurate answers they can trust,' said Taz Patel, Head of Advertising and Shopping at Perplexity. 'When our systems can ingest clean, well-organised product information — with rich attributes, consistent taxonomy and up-to-date availability — the results speak for themselves: more relevant search experiences, higher conversion rates and better alignment with shopper intent.' 'With Feedonomics delivering AI-ready data to Perplexity's powerful and highly-trusted answer engine, we are setting a new standard for ecommerce search.' 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It provides fully composable content management, digital asset management, creative workflows, personalisation, targeting and customer data technologies in one place, ensuring a holistic approach to B2B, B2E and B2C experiences. VISIT WEBSITE Neptune DXP is a PaaS(Platform-as-a-Service) provider, helping marketing teams build custom apps based on modular, reusable application building blocks. The company offers flexible environments to businesses across different verticals, further providing personalised digital solutions at scale. VISIT WEBSITE Magnolia is a composable DXP that comes with no-code connector packs and low-code micro-frameworks for third-party integrations. It also offers an open-source version alongside its commercial plans enabling enterprises to build tailored use cases. VISIT WEBSITE Liferay DXP helps marketers deliver personalised and connected digital experiences across a broad range of channels, including customer portals, websites, intranets, mobile apps, and connected devices. It offers intuitive CMS, user analytics, and site management tools that businesses need to launch, test and optimise digital experiences for faster go-to-market. VISIT WEBSITE Powered by IBM Consulting, IBM iX offers a composable DXP, providing a comprehensive solution to make enterprises' systems future-ready. Utilising its data-driven insights and intelligent workflows, marketers can design and deliver human-centred experiences across the customer lifecycle. VISIT WEBSITE HCL Digital Experience (DX), forms part of a wider HCL Customer Experience (CX) product portfolio, offering core capabilities such as content management, DAM, CDP called Signals, and low-code application development. It provides services in government, life sciences, insurance, financial services, and other verticals. VISIT WEBSITE Contentstack is a headless CMS and Composable Digital Experience Platform (DXP) solution provider that helps marketers gain a competitive edge. It recently launched into Google Cloud Marketplace, and is also available on Microsoft Azure and AWS. It seamlessly enables mid-market brands to adopt its omnichannel campaign engine to drive higher conversions and sales. VISIT WEBSITE Bloomreach Commerce Experience Cloud provides businesses an edge with its modular capabilities: Content Management System (CMS), Discovery features for search and merchandising optimisation, and Engagement tools such as Customer Data Platforms (CDP) for personalisation and analytics. VISIT WEBSITE Adobe Experience Cloud offers a comprehensive set of services specifically designed to address the day-to-day requirements for personalised customer experience at scale. Its platform helps manage different digital content and assets to improve customer satisfaction. Some of its products include Adobe Gen Studio, Experience Manager Sites, Real-time CDP, and Marketo Engage. VISIT WEBSITE Acquia offers DXP solutions, comprising of two main elements: Acquia Drupal Cloud and Acquia Marketing Cloud. It can be accessed in both platform-as-a-service (PaaS) and software-as-a-service (SaaS) with additional components such as Site Factory for multisite management, digital asset management (DAM), CDP, personalisation, and Campaign Studio. VISIT WEBSITE
Yahoo
2 days ago
- Yahoo
Meta, Anthropic win legal battles over AI 'training.' The copyright war is far from over.
Artificial intelligence developers won marginal legal battles this week when federal judges in California ruled that Anthropic ( and Meta (META) could "train" large language models (LLM) on copyrighted books. But the larger war over AI developers' use of protected works is far from over. Dozens of copyright holders have sued developers, arguing that the developers must pay rights holders before allowing generative AI software to interpret their works for profit. Rights holders also argue that the AI output cannot resemble their original works. Rob Rosenberg, an intellectual property lawyer with Telluride Legal Strategies, called Tuesday's ruling siding with AI developer Anthropic a "ground-breaking" precedent, but one that should be viewed as an opening salvo. "Judges are just starting to apply copyright law to AI systems," Rosenberg said, with many cases coming down the pike. In that ruling, California US District Judge William Alsup said that Anthropic legally utilized millions of copyrighted books to train its various LLMs, including its popular chatbot Claude. However, the judge distinguished books that Anthropic paid for from a pirated library of more than 7 million books that it also used to train Claude. As for the stolen materials, the judge said, Anthropic must face the plaintiff authors' claims that it infringed on their copyrights. In a more limited ruling favoring Meta on Wednesday, California US District Judge Vince Chhabria said that a group of 12 authors who sued the tech giant, including stand-up comedian Sarah Silverman, made "wrong arguments" that prevented him from ruling on infringement. According to the authors, Meta used their copyrighted books to train its large language model Llama. The rulings are among the first in the country to address emerging and unsettled questions over how far LLMs can go to rely on protected works. "There is no predicting what's going to come out the other end of those cases," said Courtney Lytle Sarnow, an intellectual property partner with CM Law and adjunct professor at Emory University School of Law. Sarnow and other intellectual property experts said they expect the disputes will end up in appeals to the US Supreme Court. "I think it's premature for Anthropic and others like it to be taking victory laps," said Randolph May, president of the Free State Foundation and former chair of the American Bar Association's Administrative Law and Regulatory Practice section. US copyright law, as defined by the Copyright Act, gives creators of original works an exclusive right to reproductions, distributions, and public performances of their material, according to Sarnow, including some derivative works and sequels to their original creations. Absent a license from the rights holders to use their copyrighted material, all large language models are stealing from authors, she said. But under US law, a certain level of what would otherwise be deemed stealing is, in fact, an exception permitted under the doctrine of "fair use." That doctrine makes it legal to use the material without a license for commentary and critique, to reference it for news reporting and education, and to transform it into something new and distinct that serves a purpose different from the original form. Both Anthropic and Meta argued that training their LLMs on copyrighted material didn't violate the Copyright Act because the models transformed the original authors' content into something new. In his ruling, Judge Alsup reasoned that Anthropic's use of books was "exceedingly transformative" and therefore qualified as fair use under the Copyright Act. Rosenberg and Sarnow said it's too soon to tell how courts will ultimately rule on the issue. In cases where a "transformative" use is being used as a defense, LLM defendants need to show that their use of copyrighted material did not disrupt the market for the authors' original works. Judge Chhabria criticized Alsup's ruling, calling his analysis incomplete for "brushing aside" such market concerns. "Under the fair use doctrine, harm to the market for the copyrighted work is more important than the purpose for which the copies are made," Judge Chhabria said. Anthropic still faces some other big legal challenges. Reddit sued the company earlier in June. The suit alleges Anthropic intentionally scraped Reddit users' personal data without their consent and then put their data to work training Claude. Anthropic is also defending itself against a suit from music publishers, including Universal Music Group (0VD.F), ABKCO, and Concord, alleging that Anthropic infringed on copyrights for Beyoncé, the Rolling Stones, and other artists as it trained Claude on lyrics to more than 500 songs. The company faces more peril in the case where a judge determined it must face claims from authors that it infringed on their copyrights by paying for a pirated library of more than 7 million books. For copyright infringement, willful violations can result in statutory fines up to $150,000 per violation. If Anthropic were found liable for intentionally misusing the 7 million books at issue in its case, the maximum penalties could end up north of $1 billion. Three authors brought the case, requesting that the court grant their request to pursue their claims as a class action. The judge's decision on the class certification request is pending. "The judge did not give Anthropic a free pass," Rosenberg said. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Scoop
2 days ago
- Business
- Scoop
Gigamon Launches AI Tools For Deep Observability
Multi-phase AI strategy delivers intelligent visibility and automation, sets a new standard for hybrid cloud security and management Gigamon, a leader in deep observability, today announced the first phase of its multi-year AI strategy, introducing foundational innovations designed to help organizations better secure and manage hybrid cloud infrastructure. The initial offerings include Gigamon AI Traffic Intelligence, which delivers real-time visibility into GenAI and LLM traffic across 17 leading engines to enable data-driven enforcement and policy governance, and GigaVUE Fabric Manager (FM) Copilot, a GenAI-powered assistant that simplifies onboarding, configuration, management, and troubleshooting of Gigamon deployments. By embedding AI into the Deep Observability Pipeline, Gigamon expands its value to customers by eliminating blind spots, strengthening governance, and enhancing operational efficiency across modern hybrid environments. We're embedding AI directly into the Deep Observability Pipeline to help customers strengthen cybersecurity with practical, easy-to-implement capabilities that keep pace with the speed and complexity of AI adoption. As GenAI workloads multiply, organizations face surging data volumes, expanding attack surfaces, and growing security risks. One of the most fundamental challenges is simply knowing which AI services are in use. In the 2025 Hybrid Cloud Security Survey of over 1,000 global Security and IT leaders, one in three reported that network traffic has more than doubled due to AI workloads, while 55 percent said their tools are failing to detect modern threats. In response, 88 percent now consider deep observability—combining network-derived telemetry with log data—essential for securing and scaling AI deployments across hybrid cloud infrastructure. 'As GenAI use matures in organizations, we're focused on both AI for security and security for AI,' said Michael Dickman, chief product officer at Gigamon. 'It has never been more true that you cannot secure what you cannot see, making complete visibility into AI traffic and workloads, including shadow AI usage, critical for today's Security and IT teams. That is why we're embedding AI directly into the Deep Observability Pipeline to help customers strengthen cybersecurity with practical, easy-to-implement capabilities that keep pace with the speed and complexity of AI adoption.' Complete Visibility into AI and GenAI Network Traffic: A New Standard for Cybersecurity The Gigamon Deep Observability Pipeline efficiently delivers actionable network-derived telemetry, including packets, flows, and application metadata directly to cloud, security, and observability tools, bringing the complete picture into focus. With the new AI Traffic Intelligence capability, organizations gain real-time visibility into GenAI and LLM activity from 17 leading engines, including ChatGPT, Gemini, and DeepSeek. The capability also allows user-defined targeting of additional LLMs beyond the pre-defined set, extending flexibility and reach. For ease of integration, this intelligence is agentless and applies even to encrypted data in motion, surfacing shadow AI usage and enabling more effective, policy-driven governance. AI Traffic Intelligence enables organizations to: Gain real-time insights into GenAI and LLM traffic across public, private, virtual, and container environments Identify shadow AI, or unsanctioned AI usage, to reduce risk and improve oversight Track usage patterns to inform governance and manage AI-related costs Empower Security and IT teams with trusted, network-derived telemetry to drive informed decisions 'Gigamon has established itself as a trusted source of granular network data, providing comprehensive visibility across highly complex, distributed environments,' said Bob Laliberte, principal analyst at theCUBE Research. 'As AI increases the complexity and volume of network traffic, clear visibility into GenAI activity has become critical. Gigamon is well-positioned to meet these emerging challenges by delivering the requisite insights to monitor AI usage, regain control, and take decisive action.' 'AI is accelerating digital transformation, but it's also introducing security risks and data challenges across hybrid cloud infrastructure," said Chris Konrad, vice president, Global Cyber at World Wide Technology (WWT). 'By integrating AI into its Deep Observability Pipeline, Gigamon delivers the complete visibility and insights our customers need to detect threats, govern GenAI use, and strengthen cybersecurity best practices. At WWT, we're proud to partner with Gigamon to shape the future of hybrid cloud security by delivering the deep observability customers require.' GigaVUE-FM Copilot Simplifies Deployment and Day-to-Day Operations Gigamon also introduced GigaVUE-FM Copilot, a GenAI-powered assistant designed to help organizations onboard, configure, manage, and troubleshoot their Gigamon environments with greater speed and accuracy. Embedded directly within GigaVUE-FM, GigaVUE-FM Copilot enables Security and IT teams to reduce time to insight, simplify complex workflows, and improve productivity. Through a natural language interface, GigaVUE-FM Copilot securely connects users directly to the internal knowledge base and LLM contained within technical documentation, deployment guides, and release notes, delivering fast, context-aware answers. This capability empowers Security, IT, and DevOps teams to resolve issues independently, whether or not they are power users, and reduce reliance on Tier 3 support resources. With GigaVUE-FM Copilot, organizations can: Simplify configuration and management using GenAI-assisted support Accelerate onboarding and feature discovery to improve readiness Instantly search documentation to troubleshoot and apply best practices Reduce Tier 3 support escalations by enabling broader self-service Improve operational efficiency across teams and environments Availability and Roadmap The AI Traffic Intelligence capability is available now for all GigaVUE Cloud Suite customers. GigaVUE-FM Copilot is in early access for select customers, with general availability in 2H25. Additional AI-powered innovations are underway as part of the multi-phase strategy and will be spotlighted at the Gigamon Visualyze Bootcamp, the company's virtual customer conference taking place Sept. 9–11. For more information
Engadget
3 days ago
- Business
- Engadget
Meta wins AI copyright case filed by Sarah Silverman and other authors
Federal Judge Vince Chhabria has ruled in favor of Meta over the 13 book authors, including Sarah Silverman, who sued the company for training its large language model on their published work without obtaining consent. His court has granted summary judgment to Meta, which means the case didn't reach full trial. Chhabria said that Meta didn't violate copyright law after the plaintiffs had failed to show sufficient evidence that the company's use of the authors' work would hurt them financially. In his ruling (PDF), Chhabria admitted that in most cases, it is illegal to feed copyright-protected materials into their large language models without getting permission or paying the copyright owners for the right to use their creations. "...by training generative AI models with copyrighted works, companies are creating something that often will dramatically undermine the market for those works, and thus dramatically undermine the incentive for human beings to create things the old-fashioned way," he wrote. However, the court "must decide cases based on the evidence presented by the parties," he said. For this particular case, the plaintiffs argued that Meta's actions cannot be considered "fair use." They said that that their creations are affected by Meta's use because the company's LLM, Llama, is capable of reproducing small snippets of text from their books. They also said that by using their books for training without consent, Meta had diminished their ability to license their work for LLM training. The judge called both arguments "clear losers." Llama isn't capable of generating enough text straight from the books to matter, he said, and the authors aren't entitled to the "market for licensing their works as AI training data." Chhabria wrote that the argument that Meta copied their books to create a product that has the capability to flood the market with similar works, thereby causing market dilution, could have given the plaintiffs the win. But the plaintiffs barely touched the argument and presented no evidence to show how output from Meta's LLM could dilute the market. Despite his ruling, Chhabria clarified that his decision is limited: It only affects the 13 authors in the lawsuit and "does not stand for the proposition that Meta's use of copyrighted materials to train its language models is lawful." Another judge, William Alsup, also recently sided with Anthropic in a class action lawsuit also brought by a group of authors who accused the company of using their copyrighted work without permission. Alsup provided the writers recourse, though, and allowed them to take Anthropic to court for piracy.
Yahoo
3 days ago
- Health
- Yahoo
ChatGPT could be silently rewiring your brain as experts urge caution for long-term use
Using ChatGPT on a long-term basis could have negative effects on brain function. That's according to a study led by the Massachusetts Institute of Technology (MIT), which found that using a large language model (LLM) to write multiple essays over a four-month period could hamper cognitive abilities. In the study, 54 participants were divided into three groups. Woman Says Chatgpt Saved Her Life By Helping Detect Cancer, Which Doctors Missed One group used ChatGPT, an LLM product made by OpenAI, to write an essay. The second group used only a search engine, and the third group used only their own brains, according to a press release from MIT. Read On The Fox News App The participants underwent three sessions where they completed the same assignment. Then, in the fourth session, the LLM group was asked to write an essay without any tools, and the "brain-only" group was asked to use an LLM for assistance. During each session, the researchers recorded the participants' brain activity using an EEG monitor to assess their "cognitive engagement and cognitive load" and to determine their neural activity, the release stated. Brain Implant Breakthrough Allows Paralyzed Patients To 'Speak' With Their Thoughts The participants also provided their own individual feedback during interviews. Human teachers and an artificial intelligence agent scored the assessments. "EEG analysis presented robust evidence that LLM, search engine and brain-only groups had significantly different neural connectivity patterns, reflecting divergent cognitive strategies," the researchers wrote. Participants showed less brain connectivity when they used the tools to help write their essays, the study found. "The brain‑only group exhibited the strongest, widest‑ranging networks; the search engine group showed intermediate engagement; and LLM assistance elicited the weakest overall coupling," the researchers wrote. In the fourth session, the participants who switched from LLM to brain-only showed "weaker neural connectivity" and less cognitive engagement. The LLM group also had less ability to recall information from the essays they had just written. Those who switched from brain-only to LLM had "higher memory recall" and greater cognitive engagement. Based on these findings, the researchers said there could be a "possible decrease in learning skills" among LLM users. "The use of LLM had a measurable impact on our participants, and while the benefits were initially apparent, as we demonstrated over the course of four sessions … the LLM group's participants performed worse than their counterparts in the brain-only group at all levels: neural, linguistic [and] scoring," they wrote. The findings have been uploaded to Arxiv, a preprint service, but have not yet been peer-reviewed, as the researchers noted that "all conclusions are to be treated with caution and as preliminary." There were also a limited number of participants who were all from the same geographical area. Ai Tool Scans Faces To Predict Biological Age And Cancer Survival "For future work, it will be important to include a larger number of participants coming from diverse backgrounds, like professionals in different areas and age groups, as well as ensure that the study is more gender-balanced," the researchers noted. Only ChatGPT was used in the study; future research could incorporate other LLMs. The EEG technology used to analyze brain connectivity could also have some limitations, as the researchers shared plans to use fMRI (functional magnetic resonance imaging) in future studies. "Our findings are context-dependent and are focused on writing an essay in an educational setting and may not generalize across tasks," they also stated. "Future studies should also consider exploring longitudinal impacts of tool usage on memory retention, creativity and writing fluency." Dr. Harvey Castro, an ER physician and "AI futurist" based in Texas, said he sees this study as a "neuro-wake-up call," especially for younger brains. "ChatGPT can make you 60% faster, but that speed comes at the price of neuro-engagement," Castro, who was not involved in the study, told Fox News Digital. "Brain connectivity collapses from 79 neural links to just 42, and 83% of users can't quote their own essays minutes later. Neuroplasticity research tells us developing brains will feel this hit hardest." In emergency medicine, Castro said, doctors call this "failure to encode." "The brain isn't processing and storing information," he said. "When neural connectivity drops by nearly half, we're looking at what researchers call 'cognitive debt.'" For medical students, an inability to encode and recall information under pressure could have serious implications for clinical decision-making, Castro noted. Click Here To Sign Up For Our Health Newsletter "The same neural networks that consolidate essay information are involved in diagnostic reasoning," he said. Using LLMs for extended periods can be convenient, but could cause cognitive muscles to "atrophy" over time, the expert cautioned. There was one encouraging finding, however. "When people with strong foundational skills later used ChatGPT, they showed enhanced connectivity," Castro said. "The key isn't avoiding AI — it's building cognitive strength first." In education, he emphasized the need for periods of "AI-free cognitive development." For more Health articles, visit "Sometimes you act on preliminary data when the stakes are high enough, and an entire generation's brain development is high stakes." Fox News Digital reached out to OpenAI for article source: ChatGPT could be silently rewiring your brain as experts urge caution for long-term use
