Latest news with #DaveWright
Business Wire
10-06-2025
- Business
- Business Wire
Pattern Integrates AWS-Powered Generative AI Solution with Amazon Nova to Enhance Its Ecommerce Acceleration Platform
SALT LAKE CITY--(BUSINESS WIRE)--Pattern, the global leader in ecommerce acceleration, today shared that it has implemented Amazon Nova on Amazon Web Services (AWS). Using its extensive 44 trillion data points, product performance metrics, and visual content analysis, Pattern is leveraging Amazon Bedrock and Amazon Nova - state-of-the-art foundation models that deliver frontier intelligence and industry leading price performance - to deliver gen AI-powered insights for brand partners globally. With Amazon Nova, we're now executing millions of optimizations each day, helping our brand partners win across marketplaces worldwide with our patented technology. — Dave Wright, Co-Founder and CEO of Pattern Share An early adopter of generative AI, Pattern launched Content Brief, a content optimization technology solution for consumer brands powered by Amazon Bedrock and Amazon Nova. Streamlining the content optimization process enables users to quickly analyze millions of data points across text, imagery, and video, providing brands with specific recommendations for how to modify product titles, descriptions, and visual assets to significantly improve both traffic and conversion rates. These actionable insights are synthesized into concise reports that deliver clear guidance on content and image changes proven to drive marketplace performance. "Ecommerce is benefiting disproportionately from generative AI. And from the beginning, Pattern's technology has leveraged AI to drive growth for our brand partners," said Pattern Co-Founder and CEO Dave Wright. "With Amazon Nova, we're now executing millions of optimizations each day, helping our brand partners win across marketplaces worldwide with our patented technology. This collaboration allows us to process vast amounts of data more efficiently, generate insights faster, and constantly build new capabilities that keep our partners ahead of the game." Pattern's use of Amazon Nova via Amazon Bedrock on AWS marks a significant step in the company's commitment to innovation and increasing efficiency by leveraging AI and machine learning models. The company has seen more than a 76% reduction in costs compared to other similar generative AI models, along with dramatic decreases in processing time. In one example, Pattern's Content Brief improvements led to a 48% lift in traffic compared to 8% category growth. "Generative AI technology is a game-changing accelerator in so many areas of ecommerce. We are heavily investing in the development of AI applications across our product portfolio to enhance the Pattern experience,' said Pattern's Chief Architect and Technical Advisor to the CEO, Jason Wells. "AWS has been a great partner, providing stability for our applications and confidence to our brand partners. When we brought in Amazon Nova, we realized it was not only reliable and accurate but also affordable – key factors when building software we hope to scale to thousands, if not millions, of users." 'Pattern's use of Amazon Nova demonstrates exactly why we developed this technology – to help companies turn massive, complex datasets into real business outcomes,' said Rich Geraffo, Vice President & Managing Director, AWS North America. 'By harnessing the power of its trillions of data points and data platform alongside our generative AI, Pattern is delivering tangible marketplace advantages to brands while drastically reducing their AI processing costs and making their own teams more productive. This exemplifies our commitment to AI innovation that makes customers' lives easier and better – providing the freedom to invent differentiated solutions that would otherwise be unfeasible or cost-prohibitive, all built on a foundation they can trust.' For more information, visit About Pattern Pattern is the category leader for global ecommerce and marketplace acceleration. Since its founding in 2013, Pattern has profitably grown to more than 1,800 team members operating from 18 global locations. Hundreds of global brands depend on Pattern's ecommerce acceleration platform every day to drive profitable revenue growth across hundreds of global marketplaces—including Amazon, eBay, Tmall, JD, and Mercado Libre. For more information about Pattern please visit
Yahoo
10-06-2025
- Business
- Yahoo
Pattern Integrates AWS-Powered Generative AI Solution with Amazon Nova to Enhance Its Ecommerce Acceleration Platform
Pattern leverages Amazon Nova understanding models to improve conversions for brand partners and reduce gen AI costs by 76% SALT LAKE CITY, June 10, 2025--(BUSINESS WIRE)--Pattern, the global leader in ecommerce acceleration, today shared that it has implemented Amazon Nova on Amazon Web Services (AWS). Using its extensive 44 trillion data points, product performance metrics, and visual content analysis, Pattern is leveraging Amazon Bedrock and Amazon Nova - state-of-the-art foundation models that deliver frontier intelligence and industry leading price performance - to deliver gen AI-powered insights for brand partners globally. An early adopter of generative AI, Pattern launched Content Brief, a content optimization technology solution for consumer brands powered by Amazon Bedrock and Amazon Nova. Streamlining the content optimization process enables users to quickly analyze millions of data points across text, imagery, and video, providing brands with specific recommendations for how to modify product titles, descriptions, and visual assets to significantly improve both traffic and conversion rates. These actionable insights are synthesized into concise reports that deliver clear guidance on content and image changes proven to drive marketplace performance. "Ecommerce is benefiting disproportionately from generative AI. And from the beginning, Pattern's technology has leveraged AI to drive growth for our brand partners," said Pattern Co-Founder and CEO Dave Wright. "With Amazon Nova, we're now executing millions of optimizations each day, helping our brand partners win across marketplaces worldwide with our patented technology. This collaboration allows us to process vast amounts of data more efficiently, generate insights faster, and constantly build new capabilities that keep our partners ahead of the game." Pattern's use of Amazon Nova via Amazon Bedrock on AWS marks a significant step in the company's commitment to innovation and increasing efficiency by leveraging AI and machine learning models. The company has seen more than a 76% reduction in costs compared to other similar generative AI models, along with dramatic decreases in processing time. In one example, Pattern's Content Brief improvements led to a 48% lift in traffic compared to 8% category growth. "Generative AI technology is a game-changing accelerator in so many areas of ecommerce. We are heavily investing in the development of AI applications across our product portfolio to enhance the Pattern experience," said Pattern's Chief Architect and Technical Advisor to the CEO, Jason Wells. "AWS has been a great partner, providing stability for our applications and confidence to our brand partners. When we brought in Amazon Nova, we realized it was not only reliable and accurate but also affordable – key factors when building software we hope to scale to thousands, if not millions, of users." "Pattern's use of Amazon Nova demonstrates exactly why we developed this technology – to help companies turn massive, complex datasets into real business outcomes," said Rich Geraffo, Vice President & Managing Director, AWS North America. "By harnessing the power of its trillions of data points and data platform alongside our generative AI, Pattern is delivering tangible marketplace advantages to brands while drastically reducing their AI processing costs and making their own teams more productive. This exemplifies our commitment to AI innovation that makes customers' lives easier and better – providing the freedom to invent differentiated solutions that would otherwise be unfeasible or cost-prohibitive, all built on a foundation they can trust." For more information, visit About Pattern Pattern is the category leader for global ecommerce and marketplace acceleration. Since its founding in 2013, Pattern has profitably grown to more than 1,800 team members operating from 18 global locations. Hundreds of global brands depend on Pattern's ecommerce acceleration platform every day to drive profitable revenue growth across hundreds of global marketplaces—including Amazon, eBay, Tmall, JD, and Mercado Libre. For more information about Pattern please visit View source version on Contacts Pattern Media ContactTom Error while retrieving data Sign in to access your portfolio Error while retrieving data Error while retrieving data Error while retrieving data Error while retrieving data
Yahoo
06-06-2025
- Business
- Yahoo
Pattern Unveils Suite of AI-Powered Ecommerce Innovations at Accelerate 2025
SALT LAKE CITY, June 06, 2025--(BUSINESS WIRE)--Pattern, the global leader in ecommerce acceleration, announced a comprehensive suite of new AI-powered innovations designed to transform how brands win in digital marketplaces. The announcements came during Pattern's annual Accelerate Summit, the premier gathering for ecommerce professionals worldwide. "At Pattern, we believe the future of ecommerce isn't guesswork, it's precision powered by AI, rich data, and advanced data science working in perfect harmony," said Pattern Co-Founder and CEO Dave Wright. "With innovations like Chessboard, GEO Scorecard, TrendVision, and the Portal, we're giving brands unprecedented visibility into why consumers buy, not just what they buy. This new suite of products and tools doesn't just optimize performance, it fundamentally rewrites the rules of digital retail by making every creative asset, every product detail, and every decision, smarter." GEO Scorecard: Revealing Critical Insights as Shoppers Turn to AI Assistants Consumers are no longer starting their buying journey just on Google or Amazon, they're increasingly asking ChatGPT, Gemini, and other AI assistants what to buy. This is a seismic shift in how consumers shop, and it demands a new approach to brand visibility. Pattern's new Generative Engine Optimization (GEO) Scorecard shows brands how they appear on AI platforms, providing data-driven insights to optimize content strategy and maintain a competitive advantage. "Consumers aren't just using AI tools like ChatGPT or Gemini to search, they're trusting them to decide," said Wright. "This new level of confidence in AI-generated recommendations is reshaping how purchase decisions are made. Brands must urgently understand how they appear in these responses and adapt their content and messaging strategies to stay competitive in this new era of AI-led commerce." Chessboard: Enabling Content Optimization with Accuracy and Efficiency Pattern introduced Chessboard, a breakthrough analytics engine that leverages data science to reveal why shoppers convert, not just how often. Unlike traditional metrics that treat every view equally, Chessboard uses visibility modeling and attribute-level analysis to identify the specific product features that actually drive purchases. By isolating the attributes that matter most to consumers, it empowers brands to optimize content, design, and spend with surgical precision. "Chessboard finally gives brands increased clarity on what influences a purchase," said Wright. "It separates signal from noise so your product listing is focused on the features that actually convert. That level of insight is the key to unlocking real efficiency and growth." TrendVision: Empowering Brands to Win Amid Rise in Social Shopping Pattern launched TrendVision, an AI-powered solution that helps brands win on TikTok and Instagram. TrendVision analyzes trending topics, deconstructs high-performing social content, and identifies the hooks, emotional triggers, and creative patterns that drive engagement and conversion. It then turns these insights into ready-to-execute video scripts, and assets, enabling brands to scale impactful social content using their existing media. The Portal: Addressing Challenges in AI-Generated Product Imagery Pattern unveiled The Portal, a breakthrough in AI-assisted product photography that combines high-fidelity image capture with data-driven creative generation. As Pattern's first hardware-enabled solution, The Portal produces hyper-realistic lifestyle images – where the product retains its true detail even in bespoke AI-generated scenes – and the right images – those optimized to drive conversions based on Pattern's proprietary data models. The Portal dramatically accelerates content production with programmable backgrounds, dynamic lighting, and adjustable camera configurations.. Pattern Delivers Competitive Advantage as AI Redefines Ecommerce "We're entering a new era where AI doesn't just accelerate commerce, it redefines how it works," said Wright. "By combining Pattern's data, creativity, and technology, we're helping brands not only keep up with the pace of change, but lead it. The breakthroughs we launched at Accelerate 25 aren't just tools, they're competitive advantages built for the future of buying and selling." For more information, visit About Pattern Pattern is the category leader for global ecommerce and marketplace acceleration. Since its founding in 2013, Pattern has profitably grown to more than 1,800 team members operating from 22 global locations. Hundreds of global brands depend on Pattern's ecommerce acceleration platform every day to drive profitable revenue growth across hundreds of global marketplaces—including Amazon, eBay, Tmall, JD, and Mercado Libre. About Accelerate Accelerate: The Global Ecommerce Acceleration Summit is the premier event for ecommerce professionals, designed to equip executives with the tools and knowledge needed to thrive in the multi-trillion-dollar global ecommerce market. By bringing together industry leaders and innovators, Accelerate aims to foster collaboration and drive immediate impact in ecommerce businesses worldwide. To learn more, visit View source version on Contacts Tom CookCommunications 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
Business Wire
06-06-2025
- Business
- Business Wire
Pattern Unveils Suite of AI-Powered Ecommerce Innovations at Accelerate 2025
SALT LAKE CITY--(BUSINESS WIRE)--Pattern, the global leader in ecommerce acceleration, announced a comprehensive suite of new AI-powered innovations designed to transform how brands win in digital marketplaces. The announcements came during Pattern's annual Accelerate Summit, the premier gathering for ecommerce professionals worldwide. Consumers are no longer starting their buying journey just on Google or Amazon, they're increasingly asking ChatGPT, Gemini, and other AI assistants what to buy. Share 'At Pattern, we believe the future of ecommerce isn't guesswork, it's precision powered by AI, rich data, and advanced data science working in perfect harmony,' said Pattern Co-Founder and CEO Dave Wright. 'With innovations like Chessboard, GEO Scorecard, TrendVision, and the Portal, we're giving brands unprecedented visibility into why consumers buy, not just what they buy. This new suite of products and tools doesn't just optimize performance, it fundamentally rewrites the rules of digital retail by making every creative asset, every product detail, and every decision, smarter.' GEO Scorecard: Revealing Critical Insights as Shoppers Turn to AI Assistants Consumers are no longer starting their buying journey just on Google or Amazon, they're increasingly asking ChatGPT, Gemini, and other AI assistants what to buy. This is a seismic shift in how consumers shop, and it demands a new approach to brand visibility. Pattern's new Generative Engine Optimization (GEO) Scorecard shows brands how they appear on AI platforms, providing data-driven insights to optimize content strategy and maintain a competitive advantage. 'Consumers aren't just using AI tools like ChatGPT or Gemini to search, they're trusting them to decide,' said Wright. 'This new level of confidence in AI-generated recommendations is reshaping how purchase decisions are made. Brands must urgently understand how they appear in these responses and adapt their content and messaging strategies to stay competitive in this new era of AI-led commerce.' Chessboard: Enabling Content Optimization with Accuracy and Efficiency Pattern introduced Chessboard, a breakthrough analytics engine that leverages data science to reveal why shoppers convert, not just how often. Unlike traditional metrics that treat every view equally, Chessboard uses visibility modeling and attribute-level analysis to identify the specific product features that actually drive purchases. By isolating the attributes that matter most to consumers, it empowers brands to optimize content, design, and spend with surgical precision. 'Chessboard finally gives brands increased clarity on what influences a purchase,' said Wright. 'It separates signal from noise so your product listing is focused on the features that actually convert. That level of insight is the key to unlocking real efficiency and growth.' TrendVision: Empowering Brands to Win Amid Rise in Social Shopping Pattern launched TrendVision, an AI-powered solution that helps brands win on TikTok and Instagram. TrendVision analyzes trending topics, deconstructs high-performing social content, and identifies the hooks, emotional triggers, and creative patterns that drive engagement and conversion. It then turns these insights into ready-to-execute video scripts, and assets, enabling brands to scale impactful social content using their existing media. The Portal: Addressing Challenges in AI-Generated Product Imagery Pattern unveiled The Portal, a breakthrough in AI-assisted product photography that combines high-fidelity image capture with data-driven creative generation. As Pattern's first hardware-enabled solution, The Portal produces hyper-realistic lifestyle images – where the product retains its true detail even in bespoke AI-generated scenes – and the right images – those optimized to drive conversions based on Pattern's proprietary data models. The Portal dramatically accelerates content production with programmable backgrounds, dynamic lighting, and adjustable camera configurations.. Pattern Delivers Competitive Advantage as AI Redefines Ecommerce 'We're entering a new era where AI doesn't just accelerate commerce, it redefines how it works,' said Wright. 'By combining Pattern's data, creativity, and technology, we're helping brands not only keep up with the pace of change, but lead it. The breakthroughs we launched at Accelerate 25 aren't just tools, they're competitive advantages built for the future of buying and selling.' For more information, visit About Pattern Pattern is the category leader for global ecommerce and marketplace acceleration. Since its founding in 2013, Pattern has profitably grown to more than 1,800 team members operating from 22 global locations. Hundreds of global brands depend on Pattern's ecommerce acceleration platform every day to drive profitable revenue growth across hundreds of global marketplaces—including Amazon, eBay, Tmall, JD, and Mercado Libre. About Accelerate Accelerate: The Global Ecommerce Acceleration Summit is the premier event for ecommerce professionals, designed to equip executives with the tools and knowledge needed to thrive in the multi-trillion-dollar global ecommerce market. By bringing together industry leaders and innovators, Accelerate aims to foster collaboration and drive immediate impact in ecommerce businesses worldwide. To learn more, visit
Tahawul Tech
19-05-2025
- Business
- Tahawul Tech
'You need the right data to get the outcomes you want, AI is not magic, it's maths.' – Dave Wright, ServiceNow
CNME Editor Mark Forker spoke to Dave Wright, Chief Innovation Officer at ServiceNow, during Knowledge 25 in Las Vegas, to learn more about how the global ITSM leader is going to use their platform to power the new era of Agentic AI across the enterprise space, why they are viewing agents as 'assets', the importance of cleansing your data – and why his innovation office is focused on futurism. Dave Wright has been a central figure in the seismic success of ServiceNow, who's stock as a company has rocketed both in a figurative and literal sense over the last number of years. In this new transformative era of Agentic AI, ServiceNow has emerged as the company with the platform to power this movement, with NVIDIA CEO Jensen Huang describing the company as the Central Nervous System of the 21st century in the enterprise space. A big announcement on Day 1 of Knowledge 25 was the launch of ServiceNow's AI Control Tower, and Wright outlined how they are viewing agents as 'assets'. 'We now have the capability of building agents that actually do something that can affect something on the background, but there's got to be a way to control that. However, the challenge at the moment is the fact that nobody has built agent detection technology. It's not like you can scan an enterprise in the same way you can scan networks, so what we wanted to do was build a Control Tower that will allow people to not just manage ServiceNow agents, but manage other agents, whether it be on Copilot, or Salesforce, but we were asking ourselves how are we going to do this because we can't detect them. We actually use the concept of putting them in the CMDB, and we treat the agent as an asset. Essentially, what that means is any agent that's written on any platform is seen as an asset and what allows us to do better understand the relationship between the assets. We'll see the links that exists between agents and similar to how you can manage the lifecycle of an asset, then you can manage the lifecycle of an agent,' said Wright. Agentic AI is only as effective as the data you feed it, and in 2024, 60% of AI projects were abandoned due to incomplete data, so the governance around the data is going to be a tough nut to crack, and Wright has advocated for companies to have a Chief Data Officer. 'I think if your going AI-first, and that's going to be your strategy long-term then I do think you need a Chief Data Officer, but it's always hard to say that implicitly because you'll always find someone who has done it without a Chief Data Officer. It also comes down to the size of the organisation too, if you have a huge company with a lot of data then you're going to need to be more cognizant about all of that. The big challenge is the fact that people have different perceptions about data. I used to get people come up to me all the time and say our system is going to be amazing because we've got 10 years worth of data, and I'd go that's great, but has anything changed in the last 10 years, and they'd go yeah loads of stuff has changed, and then I'm like well that's sort of useless. Because take for example, let's say you have a process in place for opening a new job rank, and you've got 10 years of data and you have changed that process three months ago, then 97% of the time it's going to recommend the old process because that's where all the data is. The interesting thing about AI is if you said how do I open a new job rank then most likely it'll give you the old way of doing it, but if you change the question and asked what's the most recent way of opening a job rank, it'll give you the right way, so you need to provide the right prompt,' said Wright. Wright highlighted that another major challenge businesses have is cleansing their data in order to ensure that they are using the right data when building their datasets. 'When we first deployed artificial intelligence from a machine learning perspective, I had a customer come up to me and say we deployed your predictive capability categorisation and it is not good. He said that 51% of the time it's right, but 49% of the time it is wrong. We then looked at the data they were using to build the dataset, and the data was wrong 49% of the time. You need the right data to get the outcomes you want, AI is not magic, it's maths. You need to feed it the right things in order to get the outcomes that you want. It's similar to companies who say they are going to implement AI to filter resumes when they come into the company to make sure we get the right keywords, so you feed and input the data from your whole company, and all the AI does is determine that 45% of the company is comprised of middle-aged white men, so it focuses on middle-aged white men. Businesses have to determine the outcome they want and establish the ideal profile of what they are looking for and make sure they are using that type of data. There are five, or six different dimensions when you're thinking about data, but at the end of the day, it's all about the quality of that data, and you need to make sure you're using the right data in your datasets,' said Wright. The conversation then pivoted towards cybersecurity. Cisco's Jeetu Patel recently said that AI is the biggest challenge the security industry has ever faced, and Wright believes that the industry is lagging behind. 'I do think the industry is playing catch-up when it comes to cybersecurity. However, I think there's got to be a point in the future where people need to have the capabilities to not only identify agents, but identify what those agents are doing. At the minute, you could identify an agent, but to actually know what that agent is doing then the industry needs to define some kind of protocol. We are getting agent-to-agent connectivity on one level, but it's almost like thinking of it as an IP stack, so there needs to be connectivity on all these different levels, so not just can I invoke you and get a response, but actually find out what are you doing, what's your security protocol, where are you allowed access? I don't think anyone has come up with it yet, but it's almost like a missed standard that has to be applied to AI, and there has to be some form of security standard when it comes to AI. A lot of companies are looking at it and thinking is this something that needs to be solved locally within their domain, or is it something that needs to be solved at an industry level, and I believe it needs to be solved as an industry standard,' said Wright. Wright concluded the conversation by highlighting the work he does in his role as the Head of the ServiceNow Innovation Office. 'Innovation for me, it's not a person, in fact it's not even a team, but historically, it was. I've been at the company for 14 years, so when I joined there was only 300 people, so you were doing multiple jobs. There was a point where I was managing mergers and acquisitions, product management and pricing to name just a few roles, but as the company got bigger we were able to break those roles up. What the real function of this team now is it's closer to futurism than innovation. My job is almost like an influence role, I can talk to people about what I'm seeing in the industry, but I can't force them to do anything. It's a really good job externally, and a really bad job internally. I get to look at all the cool stuff and then I have to convince people to do something with it. At the minute, the product side of the company looks out at around two to two-and-a-half years, but our remit is to try and look out for three to five years. What do we think the future of the industry is going to look like, what do we think the future of technology is going to be, and so on and so forth. Essentially, that's where we get into all these conversations about does agentic AI move us to a post SaaS world, how do we manage agents, do we treat them as employees, or do we treat them as machines? We do a lot of research around this, and at the end of this month we are going to start releasing papers that have our views on where we think the future of technology is heading. We have been so busy as a company we have never really had a futurist function, but we do now, and we're excited about getting our research out there at the end of this month,' said Wright.
