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This post first appeared on the Transform with Google blog <a data-mce-href="https://cloud.google.com/transform/gen-ai-web3-better-together-datacurve-interview-pot-o-crypto/" href="https://cloud.google.com/transform/gen-ai-web3-better-together-datacurve-interview-pot-o-crypto/" target="_blank" rel="noopener">here.</a>&nbsp;Matt A.V. Chaban, Senior Editor, Transform @Google Jeremy van der Heiden, Contributing Writer @Google In today’s digital technology world, data is everywhere — and this data proliferation has sparked the development of new technologies, and in turn new business opportunities.Consider blockchain, Web3, generative AI, and AI agents. While they all serve a wide array of purposes, their ability to tackle data challenges has been a big part of their growing popularity, especially when it comes to creating new products and services that can unlock new revenue streams.Do you want to verify the provenance of data to bolster trust? Put it on the blockchain. Do you want to uncover insights from your organization’s massive and often unused data stockpiles? Query them with AI-powered enterprise search. Do you want to automate repetitive tasks, yet create products and services tailored to the end user? Deploy AI agents.Each in their own way is significantly driving the evolution of digital processes — and when combined, Web3 and AI technologies can become even more powerful and impressive, unlocking new and exciting capabilities. AI agents, for example, can streamline and automate data processes and workflows, adding intelligence and context to applications.“Most enterprises were not built digital-first and are instead dealing with archaic processes or siloed and unlinked data systems,” Aman Johar, co-founder of DataCurve, explains. “No one can manually manage and analyze, let alone take action on the millions of terabytes of data generated by enterprises everyday.” Gemini gems – AI summary<ul><li>The intersection of Web3 and AI is likely inevitable, considering Web3 tools can bring transparency to AI's black box problem. </li><li>DataCurve's AI agents parse through data to identify connections and generate recommendations, helping businesses engage with customers and build community. </li><li>"We embrace the philosophy that AI really refers to “actionable intelligence.” AI tools are about getting to the results and finding some sort of measurable impact for a company." Summary created using Gemini for Google Workspace. </li></ul>To help meet this increasingly widespread problem, DataCurve has introduced a suite of AI agents that not only help retrieve, analyze, and craft insights from data, they also were developed with Web3’s unique verification features. “Our Web3 agents verify data authenticity and ensure IP and ownership protections are respected,” Johar said. “This is especially critical for companies utilizing multi-party data.”The end goal is demonstrating to companies that there truly is a new and better way to manage and build on data, unlocking exciting new revenue streams in the process.Johar knows this confluence of AI and Web3 well. Before launching DataCurve last year, he worked on leveraging Web3 technologies to tokenize financial assets for a Hollywood studio, and helped create an early version of a regulated stablecoin in Switzerland. DataCurve was built on the simple insight that data-driven actions are valuable for every company, yet the majority of enterprise data is untapped because it is either not readily accessible or not actionable when desired. “The potent combination of AI and Web3 bridges the gap between data and impact, and more importantly between insights and actions,” he said.Given his background and the launch of DataCurve, we wanted to sit down with Johar to learn more about where he sees AI going, the exciting intersection between AI and Web3 applications, and the future of data in the cloud.Gen AI seemed to almost steal the spotlight from Web3, but do you feel as though the two can compliment one another?Aman Johar: A lot of the Web3 projects started as generative imaging projects. Without gen AI, those projects were hard, sometimes involving thousands of images aggregated from different elements, and just putting those images together and deploying them was not trivial.AI obviously simplified that process. But while gen AI does a fantastic job, it relies on digitized data rather than real-time, contextual user information. The question then becomes how can you incorporate actual user behavior in a way that has an impact in the real world? &nbsp; &nbsp; I think the confluence of Web 3 and gen AI is almost inevitable. If you think about how AI is being implemented today, a lot of it is still a black box. From the outside perspective, it is very hard to know. How have these models been generated in the first place and what kind of biases might they have internally? What data was used to train them and who has access to train them?Web3 can bring a lot of transparency around those processes. Web3 has the power to contextualize gen AI at scale and en masse, allowing individuals to follow digital footprints in incredible detail and covering the seldom discussed but critically important concept of provenance. Whether it’s knowing when an event first occurred, when relevant data was generated, or when a model was first published, Web3 has the ability to reveal that provenance. Finally, Web3 can assist in defining the chain of custody for everything.We are doing a lot of things around that, that will come to light in the near future. So, I'll just leave it at that. But I think there's a big confluence of AI and Web3 coming together and the latter really providing some much-needed transparency to the former.What might this look like in the real world?AJ: I think there's two big trends that I think will come together in the next two to three years. One is obviously the growing demand for AI-powered solutions because nobody has the bandwidth to manually look at all of that data anymore — that train left the station a long time ago. As markets evolve and embrace more and more data, I think we'll continue to see new rollouts of consumer engagements or experiences that will redefine relationships between consumers and brands.I think there will also be a big focus on privacy-centric marketing, especially with the decline of third-party cookies. In a cookie-less era, the importance of first-party data and data collection will only be further amplified. Organizations need to balance targeted marketing with a high level of respect for a user’s privacy, and I think Web3 possesses a lot of answers to these problems. &nbsp; That’s a use of both technologies we haven’t heard a lot about. Can you say more about how each works for addressing the data needs of marketing?AJ: Absolutely. At DataCurve, we see AI agents and Web3 as complementary technologies that address critical challenges in marketing — specifically, data fragmentation, personalization, and privacy. Let me break it down.AI agents are the analytical powerhouses. They help marketers process enormous datasets — often millions of records — at scale. DataCurve’s AI agents can analyze customer behavior patterns in real time across multiple channels, including social media, CRMs, data lakes, and payments. These AI agents enable marketers to create highly personalized and more effective ad campaigns. With one retail customer, for example, we boosted engagement rates by 10x, and we’re starting to see similar results with others.Web3 agents, on the other hand, focus on privacy and transactional experiences. In a world where 82% of consumers say they want more personalized experiences, our Web3 agents enable exactly that. For instance, marketers can interact directly with customers, utilizing multi-party data to tailor the experience. Our smart profile product Aura, available on Google Cloud Marketplace, can create unique attributes for each customer and put brands firmly on a track for deeper engagement.When we combine these technologies, the results are transformative. Let’s say a brand wants to run a loyalty program in conjunction with a sports team. Our AI agents, and subsequent agentic workflows, can identify high-value fans and automate fan engagement by sending tailored offers like VIP experiences, personalized merchandise, or invent a whole new engagement model on top of our platform. The intent is to boost fan engagement, drive sales, and strengthen brand loyalty by meeting the fans not only in real life but also where they are in the digital space.What did you see happening in the world that inspired you to start DataCurve?AJ: The genesis really goes back a few years to the COVID-19 pandemic. I was drafted to be part of a national task force trying to figure out how to reopen stadiums and arenas safely and securely.One thing we noticed was that stadiums are kind of like miniature smart cities. They support a little bit of everything — ticketing, concessions, shopping, logistics, infrastructure, security, payments — and each of those areas track data for thousands of people. There’s huge potential for stadiums to really understand attendees and use their digital footprints to explore how to increase revenues while keeping everyone safe and secure. But with so much data, the challenge is finding actionable insights.We quickly realized that this isn’t a unique problem. For a lot of medium and large enterprises, the amount of data available has eclipsed their ability to analyze it. Drawing on our stadium experience, we saw an opportunity to develop AI agents to add context to data and help organizations add value for their customers. <blockquote>Our job isn’t about disrupting the way companies do business, but to make it easier for them to do what they already do: engaging with customers and building a community. &nbsp;</blockquote>Stadiums aren’t a place one often expects to find cutting-edge tech. What industries have you translated this work to?AJ: We work across all verticals. It’s been inspiring to see how customers use our platform. Once they understand the potential, they come back with new ideas about what they can do.We work with one customer that is completely reimagining the amateur athletics market. This space is notorious for a myriad of applications that can only do one thing — whether stats, gear, merchandise, or event management — and that leads to massive data fragmentation, with no incentive to consolidate. By leveraging our platform, companies are creating a unified platform that integrates athlete performance tracking, event management, and sponsorship opportunities. This approach is empowering for athletes, coaches, and helps create new sponsorship opportunities for organizations with real-time insights.We have another customer in the sustainable energy vertical. They are setting up huge solar farms for decarbonizing their electric grid. Our agents analyze the data and autonomously convert them to carbon credits that can be freely traded on exchanges. The last few quarters, we returned about $3.3M in previously untapped community benefits. This is a good example of the technology confluence where AI agents work to understand the data and Web3 agents make it transactional and inject transparency to an otherwise opaque market.Just recently, a healthcare customer started working with us to find new ways of adding value for patients beyond healthcare. Say someone is coming into a clinic to check on a broken leg, can we automatically provide for an Uber ride to help the patient return home safely? It’s something unexpected that makes patients’ experiences a little bit better before they even step through the doors of a clinic.That is unexpected — what’s it take to help customers make those kinds of connections?AJ: At DataCurve, we embrace the philosophy that AI really refers to “actionable intelligence.” AI tools are about getting to the results and finding some sort of measurable impact for a company. DataCurve isn’t about disrupting the way companies do business, but making it easier for them to do what they already do: engaging with customers more effectively and building a stronger community.DataCurve does this by deploying AI agents that parse through CRM, ERP, and unstructured data to identify connections, generate contextual recommendations, and help businesses take action. Our AI and Web3 platform, Logicware, works with our customers’ data in a highly targeted fashion to extract tangible value in existing data that was not visible before. &nbsp;&nbsp; In order to develop Logicware, we needed a technology partner with a robust technical base that could support both gen AI and Web3 applications. Running AI models and agents can get expensive, and for Web3, we also need secure and scalable integrations, including to blockchain networks. Working with Google Cloud helps us bring down those costs for our clients, sometimes by up to one-third, all while maintaining data security and service uptime.Another advantage has been Google Cloud’s Vertex AI and AgentSpace, which have been fantastic in terms of accelerating our own development. They’re very agile, making it easy to work with teams and incorporate fast-moving changes. The Model Garden feature has been especially important for us to understand what our AI models are doing.Do you have any advice for startups based on your journey with DataCurve?Johar: When you’re building anything new, you’re going to run into roadblocks. I think it’s important to have a collaborative approach with partners. This is another area where Google Cloud has been great for us. One time, we were hitting a technical wall trying to figure out an optimal way to look through logs and siloed data for a particular customer from across their applications. Google Cloud literally sat us down with some engineers, and we collectively overcame those hurdles within a few hours.Another way to overcome these roadblocks, or even get started, is always to ask tough questions about the decisions driving your work. Don’t just think about how to build something — think about why you’re building it. Ask what your customers need. I think when you do that, a lot of interesting things start to happen. You’ll be surprised at what you can create.Learn more about how the Google for Startups Cloud Program can help you grow your business.Opening image created with Imagen 3 running on Vertex AI using the prompt: A flat style illustration... of a rainbow... between a rack of servers and a pot of gold... on a grassy hilly field on a happy, bright, partly cloudy day... and in the rainbow are plus signs and cryptocurrency... symbolizing the power of Web3 and AI together.&nbsp; &nbsp;

On the smartchain: How Web3 and gen AI make each other better

man standing in front of Boss Hugo Boss store

<h2>The Power of Data in Retail</h2>Data has become an invaluable asset for brands looking to enhance their customer connections. Retailers can no longer rely on intuition alone to understand their customers' needs and preferences. By leveraging data analytics, they can gain deep insights into consumer behavior and tailor their strategies accordingly.&nbsp;As data collection technologies advance, retail brands have access to a wealth of information that can be used to create personalized experiences. From tracking online browsing habits to analyzing in-store purchasing patterns, data is transforming the way retailers engage with their customers.Yet, analytics only goes so far in creating new revenue streams - retailers need Actionable Intelligence.&nbsp;<figure id="figure-ez47r4s5hm64cjs8u"><img id="ez47r4s5hm64cjs8u" src="https://media.gettyimages.com/id/1502452985/photo/abstract-idea-of-personalized-data-protection.jpg?b=1&amp;s=2048x2048&amp;w=0&amp;k=20&amp;c=-16ppby457T5iZicP466St7U0HS7KDPSC9Rm9sK_URE=" alt="Abstract idea of personalized data protection" title="Abstract idea of personalized data protection" class="object-cover bg-gray-100 rounded-sm md:rounded-md lg:rounded-lg" style="aspect-ratio: 16/9; object-position: center center;" data-corners="default" data-aspect="16:9" data-caption="" data-positionx="null" data-positiony="null" data-fullwidth="false" data-mce-src="https://media.gettyimages.com/id/1502452985/photo/abstract-idea-of-personalized-data-protection.jpg?b=1&amp;s=2048x2048&amp;w=0&amp;k=20&amp;c=-16ppby457T5iZicP466St7U0HS7KDPSC9Rm9sK_URE=" data-mce-style="aspect-ratio: 16/9; object-position: center center;"></figure><h3>Actionable Intelligence: The Key to Customer Happiness</h3>One of the most significant benefits of using data in retail is the ability to personalize the customer experience. Personalization goes beyond addressing customers by their names; it involves curating offers, recommendations, and services that resonate with individual preferences. Most of today's brands were not built for the data revolution currently underway. To deliver personalized services, they rely on a mix archaic sets of marketing funnels, analytics, cohort segments, sentiment analysis, social media scavenging etc. Much of the information that populates these rag tag solutions is managed by agencies and even the simplest ofcampaigns planned around a big event, say <a data-mce-href="https://www.nfl.com/super-bowl/" href="https://www.nfl.com/super-bowl/" target="_blank" rel="noopener">Superbowl LIX</a>&nbsp; can take months of planning, data gathering, and analysis. By the time the offers are sent out, the information that they are based on may not be actionable anymore - for example, the target may have already abandoned their intent to buy <a data-mce-href="https://www.nike.com/jordan" href="https://www.nike.com/jordan" target="_blank" rel="noopener">Jordan</a> sneakers and switched over to another brand.&nbsp;Retailers and marketers need to embrace behavioral data rather than inferred intent to ensure accuracy, relevance, and impact. This shift emphasizes observable actions over subjective interpretations, providing a more reliable foundation for strategic decisions.The Value of Behavioral DataBehavioral data refers to measurable actions taken by individuals. Unlike intent, which is speculative and often derived from surveys or indirect cues, behavior offers a factual and objective basis for analysis. This distinction is pivotal for decision-making, as it reduces the risk of bias and ensures decisions align with actual user patterns.For example, in retail, rather than assuming intent based on demographic or psychographic data, marketers can design tailored campaigns that directly address proven behaviors, whether it is with the brand or with partners in the brand's ecosystem - also refered to as <a data-mce-href="https://datacurve.io/blog/dynamic-fan-engagement-in-sports---entertainment-using-multi-party-data" href="https://datacurve.io/blog/dynamic-fan-engagement-in-sports---entertainment-using-multi-party-data" target="_blank" rel="noopener">multi-party data</a>.&nbsp;<figure id="figure-vcox36yha8m64j64gt"><img id="vcox36yha8m64j64gt" src="https://images.unsplash.com/photo-1511389969857-eb54b420278b?crop=entropy&amp;cs=tinysrgb&amp;fit=max&amp;fm=jpg&amp;ixid=M3wyNjI5NjF8MHwxfHNlYXJjaHw1OHx8ZW5kdXJhbmNlJTIwfGVufDB8fHx8MTczNzM0NjQ5M3ww&amp;ixlib=rb-4.0.3&amp;q=80&amp;w=1080" alt="proof of a person running an ultra marathon is a better indicator of behavior than an intent to run " title="proof of a person running an ultra marathon is a better indicator of behavior than an intent to run " class="object-cover bg-gray-100 rounded-sm md:rounded-md lg:rounded-lg" style="aspect-ratio: 16/9; object-position: undefined undefined;" data-corners="default" data-aspect="16:9" data-caption="" data-positionx="undefined" data-positiony="undefined" data-fullwidth="false" data-mce-src="https://images.unsplash.com/photo-1511389969857-eb54b420278b?crop=entropy&amp;cs=tinysrgb&amp;fit=max&amp;fm=jpg&amp;ixid=M3wyNjI5NjF8MHwxfHNlYXJjaHw1OHx8ZW5kdXJhbmNlJTIwfGVufDB8fHx8MTczNzM0NjQ5M3ww&amp;ixlib=rb-4.0.3&amp;q=80&amp;w=1080" data-mce-style="aspect-ratio: 16/9; object-position: undefined undefined;"></figure>Why Behavior Outweighs Intent&nbsp;1. Accuracy: Behavioral data captures real-world actions, eliminating the guesswork associated with interpreting intent.&nbsp;2. Scalability: Tracking behaviors across large datasets is more straightforward than assessing subjective intent, making it scalable for organizations handling vast user bases.&nbsp;3. Timeliness: Behaviors are immediate and trackable in real time, enabling quick responses to emerging trends or issues.&nbsp;4. Actionability: Decisions based on behavior can directly influence outcomes, such as improving customer experiences or optimizing operations.Case ExampleIn retail, behavioral data plays a pivotal role in personalizing customer experiences. For instance, an online fashion retailer can leverage multi-party data to understand specific behaviors - did a customer go to a concert, did they travel for a vacation, do they frequently buy for kids etc. The answers to these questions can lead to a high degree of personalization, that is also relevant to the customer. DataCurve's <a data-mce-href="https://datacurve.io/solutions/logicware" href="https://datacurve.io/solutions/logicware" target="_blank" rel="noopener">Logicware</a> platform is designed to take advantage of the patterns, feedback loops and the cross functional nature of data to help retailers not only create better user experiences but also new revenue channels via co-marketing and co-branded inventory.&nbsp;<h3>The Future of Retail: Actionable Intelligence</h3>As technology continues to evolve, the future of retail will be heavily influenced by actions taken to drive more revenue.&nbsp;By staying ahead of technological advancements and leveraging data effectively, retail brands can create seamless shopping experiences that meet the ever-changing expectations of their customers. The key lies in continuously adapting and evolving with the data insights available. By prioritizing what people do over what they may intend, retailers can achieve greater precision, adaptability, and impact in their strategies.Enhancing customer connections through data is not just a trend—it's a game-changer for retail brands aiming for success in the digital age. By embracing DataCurve's Actionable Intelligence platform <a data-mce-href="https://datacurve.io/solutions/logicware" href="https://datacurve.io/solutions/logicware" target="_blank" rel="noopener">Logicware</a>, retailers can build stronger relationships with their customers, improve service delivery, and drive innovation for future growth.

Actionable Intelligence: The Path to Delightful Customer Journeys

At <a data-mce-href="https://datacurve.io" href="https://datacurve.io" title="DataCurve" target="_blank" rel="noopener">DataCurve</a>, our mission has always been to empower organizations with transformative tools and insights to unlock their full potential. Over the last year, we’ve had the privilege of collaborating with <a data-mce-href="https://lrsnation.com" href="https://lrsnation.com" title="Locker Room Sports" target="_blank" rel="noopener">Locker Room Sports</a> Nation, driving success through innovative solutions tailored to their needs. Today, we’re thrilled to highlight an exciting opportunity that has the potential to redefine the youth sports market: a partnership with <a data-mce-href="https://athletx.com" href="https://athletx.com">ATHLETX</a>. <h3>A Shared Vision for Sports and Entertainment</h3>Locker Room Sports Nation and ATHLETX share a commitment to fostering talent, building communities, and enhancing the youth sports experience. Together, they represent a powerful force for change in a market that is ripe for innovation. By leveraging DataCurve’s <a data-mce-href="https://datacurve.io/logicware" href="https://datacurve.io/logicware" target="_blank" rel="noopener">Logicware</a> platform for Actionable Intelligence and web3, this collaboration has the potential to set new benchmarks in the industry.The Role of DataCurve in Driving Transformation with ATHLETX and LRS<figure id="figure-f2h534ixz2m6h1egpy" class=""><img id="f2h534ixz2m6h1egpy" src="https://cdn.durable.co/blocks/2dxB4mCrRMQnxblhHNbefSjAzktPXzTpHCaqOm9pkCXH9OcuO5pN65zXRmM1KIKv.jpg" alt="" title="" class="object-cover bg-gray-100 rounded-sm md:rounded-md lg:rounded-lg" style="aspect-ratio: 16/9; object-position: center center;" data-corners="default" data-aspect="16:9" data-caption="" data-positionx="undefined" data-positiony="undefined" data-fullwidth="false" data-mce-src="https://cdn.durable.co/blocks/2dxB4mCrRMQnxblhHNbefSjAzktPXzTpHCaqOm9pkCXH9OcuO5pN65zXRmM1KIKv.jpg" data-mce-style="aspect-ratio: 16/9; object-position: center center;"></figure>Our solutions are designed to bridge gaps, unlock hidden data, and create meaningful connections between organizations and their communities. Here’s how we’re catalyzing success for Locker Room Sports Nation and ATHLETX:Unlocking Hidden Potential:<ul><li style="list-style-type: none;" data-mce-style="list-style-type: none;"><ul><li style="list-style-type: none;" data-mce-style="list-style-type: none;"><ul><li style="list-style-type: none;" data-mce-style="list-style-type: none;"><ul><li>Through DataCurve’s platform, we’re helping identify untapped opportunities in youth sports, from participation trends to fan engagement strategies.</li><li>By shining a spotlight on invisible data, organizations can make informed decisions that drive growth and engagement.</li><li><span style="font-family: inherit; font-size: calc(18px * var(--body-fontSize, 1)); font-style: var(--body-fontStyle, normal);" data-mce-style="font-family: inherit; font-size: calc(18px * var(--body-fontSize, 1)); font-style: var(--body-fontStyle, normal);">From gamified engagement to real-time updates, we’re creating a connected ecosystem that fosters deeper involvement from players, families, and fans. </li></ul></li></ul></li></ul></li></ul>&nbsp;Empowering Growth Through CollaborationDataCurve’s interoperability solutions ensure that Locker Room Sports Nation and ATHLETX can integrate their systems, enabling a seamless flow of data and insights. This collaboration paves the way for scalable solutions that support growth and sustainability in the youth sports market. Looking AheadAs this collaboration unfolds, DataCurve remains committed to supporting Locker Room Sports Nation, ATHLETX, and the broader youth sports community. Together, we’re not just envisioning the future of youth sports—we’re building it.Text From PR below:&nbsp;FOR IMMEDIATE RELEASEDate: January 15, 2025Contact: Christine Herring, Vice President - Strategy and Business Development, <a href="mailto:cherring@athletx.com" data-mce-href="mailto:cherring@athletx.com">cherring@athletx.com</a> ATHLETX SPORTS GROUP ANNOUNCES ATHLETE CONTENT MANAGEMENT PARTNERSHIP WITH LOCKER ROOM SPORTS LOUISVILLE, KY: Athletx Sports Group, a national leader in producing baseball and softball events, is pleased to announce a groundbreaking partnership with Locker Room Sports, the creator of an immersive content ownership and brand development platform. The Locker Room Sports program incorporates an athlete’s personal community of family, friends and coaches that share an interest in an athlete’s development and success. Locker Room Sports, based in Chicagoland, helps guide young athletes in the development of their personal brand by championing responsible digital citizenry and the creation of positive digital footprints. Both are essential components of player development in the era of social media. The Locker Room Sports application will enable an athlete to maintain a personalized media gallery, authenticated by coaches, and further allow for development tracking and the interactive engagement of athletes creating and exchanging personalized trading cards. “We are thrilled to introduce the Locker Room Sports experience to the Athletx Sports Group family of baseball and softball brands,” said Todd Kuta, Partner with Locker Room Sports and Co-Founder of Golflogix, the world’s #1 golf application. “This partnership will allow thousands of athletes to begin to build and manage their own personal brand, which can be incredibly valuable in today’s day and age. Athletes will also be able to better preserve the lifelong memories and new friendships forged at experiential events produced by Athletx,” Kuta continued. The Locker Room Sports solution was beta tested during Game Day USA’s Junior All-American Games, which took place at the Minnesota Twins Spring Training Complex in Fort Myers, Florida from November 29 through December 1, 2024. The Junior All-American Games enables top athletes to play and train in a MLB Spring Training venue alongside former Major Leaguers. Junior All-American Games participants got the first look at the Locker Room Sports platform and had the opportunity to experiment with it and provide immediate and direct feedback to the owners and developers of the product. The official launch of the Locker Room Sports solution took place at BaseballFest, the nation’s premier New Year’s baseball event, from December 27, 2024 through January 1, 2025, with locations in Panama City Beach, Florida and Mesa, Arizona. The solution also debuted at SoftballFest, a similar event hosted by Athletx in Panama City Beach during the same time frame. “BaseballFest and SoftballFest represent the ideal environment for a new product launch,” said Rich Janor, Partner with Athletx. “These events are high energy, celebratory family events in a festival atmosphere with a truly national audience…a new product for a new year,” Janor added. For more information about Athletx Sports Group, visit https://go.athletx.com/e/975153/2025-01-15/hqxxv/805349743/h/IwDITY3deGPi56wemRwTfxqsWalzvKK5xevTgma9N_A and for more information about Locker Room Sports, visit https://go.athletx.com/e/975153/2025-01-15/hqxxy/805349743/h/IwDITY3deGPi56wemRwTfxqsWalzvKK5xevTgma9N_A

Success Story | Reimagining Youth Sports

a person walking in front of a louis vuitton store

In the rapidly evolving retail landscape, maximizing revenue with digital assets is more critical than ever. Quite simply, there is a limitation on how much more revenue physical store sales can generate.&nbsp;Additionally with digital natives, retailers must adapt to changing consumer behaviors, economic shifts, and competitive pressures. Data-driven strategies are at the forefront of this transformation, and DataCurve AI agents are leading the way in helping retailers unlock new revenue streams.&nbsp;DataCurve AI Agents specialize in providing Actionable Intelligence, enabling retailers to make informed decisions when personalizing customer engagement. By leveraging multi-party data, retailers can not only optimize their operations and enhance customer experiences, but ultimately focus on driving sales.&nbsp;<figure id="figure-9a727bbvm9m5kccu42"><img id="9a727bbvm9m5kccu42" src="https://media.gettyimages.com/id/1889510378/photo/ai-enhanced-social-networking.jpg?b=1&s=2048x2048&w=0&k=20&c=9qP8sQkkkRHC2roYuoQ4gVejwcqrLOyWVADVOd-iUZY=" alt="AI-Enhanced Social Networking" title="AI-Enhanced Social Networking" class="object-cover bg-gray-100 rounded-sm md:rounded-md lg:rounded-lg" style="aspect-ratio: 16/9; object-position: center center;" data-corners="default" data-aspect="16:9" data-caption="" data-positionX="null" data-positionY="null" data-fullWidth="false"/></figure><h2>Understanding Consumer Behavior</h2>One of the most significant ways retailers can boost revenue is by gaining a deeper understanding of their customers. <a data-mce-href="https://datacurve.io" href="https://datacurve.io" target="_blank" rel="noopener">DataCurve</a> AI Agents use sophisticated algorithms to analyze customer data, identifying patterns and preferences that might not be apparent through traditional methods. For example connecting retail brand preferences to their interests in sports nad entertainment or travel. This understanding allows retailers to tailor their offerings to meet customer demands more effectively.By deeply understanding consumer habits and engagement metrics, retailers can do away with general segmentation and create a 1:1 relationship with their customers and retain them with personalized marketing strategies, delivered at scale.&nbsp;<h3>Personalized Marketing Strategies</h3>The era of one-size-fits-all marketing is long gone. Today, personalization is key to capturing consumer interest. DataCurve assists retailers in creating highly targeted marketing campaigns that resonate with individual customers. By using data to understand what customers want and when they want it, retailers can deliver timely promotions that encourage purchases through channels that they may otherwise not have engaged in.&nbsp;<h3>Improving In-Store Experiences</h3>While online shopping continues to grow, brick-and-mortar stores remain an essential part of the retail ecosystem. Enhancing the in-store experience can significantly impact sales. Retailers can use information to optimize store layouts, enhance product displays, and offer personalized services that align with customer expectations. By creating a more engaging in-store environment, retailers can increase customer satisfaction and encourage repeat visits.<figure id="figure-vyta239hv5m5kccu42" class=""><img id="vyta239hv5m5kccu42" src="https://media.gettyimages.com/id/1394033419/photo/luxury-fashion-store-front-in-modern-shopping-mall.jpg?b=1&amp;s=2048x2048&amp;w=0&amp;k=20&amp;c=qXpgZXpl2-j_WQRCeXD8FfFsYrrEDg6IL-EWG4l5UU8=" alt="luxury fashion store front in modern shopping mall." title="luxury fashion store front in modern shopping mall." class="object-cover bg-gray-100 rounded-sm md:rounded-md lg:rounded-lg" style="aspect-ratio: 16/9; object-position: center center;" data-corners="default" data-aspect="16:9" data-caption="" data-positionx="null" data-positiony="null" data-fullwidth="false" data-mce-src="https://media.gettyimages.com/id/1394033419/photo/luxury-fashion-store-front-in-modern-shopping-mall.jpg?b=1&amp;s=2048x2048&amp;w=0&amp;k=20&amp;c=qXpgZXpl2-j_WQRCeXD8FfFsYrrEDg6IL-EWG4l5UU8=" data-mce-style="aspect-ratio: 16/9; object-position: center center;"></figure><blockquote>DATACURVE worked with a large retail brand to identify their superfans and elevate their engagement rates 10x&nbsp;</blockquote><h3>Leveraging Technology for Customer Engagement</h3>Maximizing revenue in retail requires a strategic approach that can be enhanced by multi-party data. From mobile apps to interactive kiosks, retailers have numerous opportunities to engage customers digitally. To unlock this high value market and create new revenue streams, DataCurve can play a vital role in the next generation of retail strategies.&nbsp;DataCurve AI and web3 agents embed within the existing enterprise stack and help retailers create new revenue streams from existing data by understanding specific customer preferences and investing wisely in customer engagement tools that yield the highest returns.By partnering with DataCurve, retailers can unlock valuable insights that drive growth and profitability. Whether it is in understanding consumer behavior, optimizing inventory, or enhancing customer experiences, data-driven decision-making is the key to thrive in tomorrow's retail ecosystem.&nbsp;If you are a retailer or a systems integrator with retail customers, talk to us on how to natively use our AI Agents if you are already using <a data-mce-href="https://cloud.google.com" href="https://cloud.google.com" target="_blank" rel="noopener">Google Cloud Platform</a>, <a data-mce-href="https://www.ibm.com/us-en" href="https://www.ibm.com/us-en" target="_blank" rel="noopener">IBM</a>, or <a data-mce-href="https://www.databricks.com" href="https://www.databricks.com" target="_blank" rel="noopener">Databricks</a>.&nbsp;

Maximize Revenue in Retail: Insights from DataCurve

A Thrilling Concert with a Vibrant Crowd in a large stadium

<h2>Introduction to Multi-Party Data in Sports &amp; Entertainment</h2>In today's fast-paced digital world, the sports and entertainment industries need to turn to multi-party data to enhance customer engagement. By leveraging such information instantly, these sectors can create more personalized and immersive experiences for fans and audiences. This transformation is not only revolutionizing how <a data-mce-href="https://datacurve.io" href="https://datacurve.io" target="_blank" rel="noopener">DataCurve</a> customers operate in this field, but also how fans experience these events.&nbsp;<figure id="figure-ta2xk8nkb9m5ac9zbk"><img id="ta2xk8nkb9m5ac9zbk" src="https://media.gettyimages.com/id/922624188/photo/textured-soccer-ball-closeup.jpg?b=1&amp;s=2048x2048&amp;w=0&amp;k=20&amp;c=m6pM9fZfZB8QK4KvnBpHR63mqQM9AueB9kq1Z7Bg8UI=" alt="Textured Soccer Ball Closeup" title="Textured Soccer Ball Closeup" class="object-cover bg-gray-100 rounded-sm md:rounded-md lg:rounded-lg" style="aspect-ratio: 16/9; object-position: center center;" data-corners="default" data-aspect="16:9" data-caption="" data-positionx="null" data-positiony="null" data-fullwidth="false" data-mce-src="https://media.gettyimages.com/id/922624188/photo/textured-soccer-ball-closeup.jpg?b=1&amp;s=2048x2048&amp;w=0&amp;k=20&amp;c=m6pM9fZfZB8QK4KvnBpHR63mqQM9AueB9kq1Z7Bg8UI=" data-mce-style="aspect-ratio: 16/9; object-position: center center;"></figure><h3>Understanding Multi-Party Data</h3>The sports and entertainment industries thrive on collaboration, with multiple stakeholders—teams, leagues, sponsors, broadcasters, and fans—relying on shared data to create seamless experiences. Multi-party data refers to the exchange and integration of information across these entities, enabling insights that drive fan engagement, operational efficiency, and revenue growth. For example, ticket sales data from a league, combined with demographic insights from sponsors and viewing patterns from broadcasters, can inform targeted marketing campaigns. However, managing multi-party data requires robust frameworks to ensure interoperability, security, and compliance with regulations like GDPR.By leveraging advanced technologies such as AI and blockchain, organizations can securely share data while maintaining transparency and control. This approach not only unlocks new revenue streams but also enhances the fan experience by delivering personalized, real-time interactions.Understanding and implementing multi-party data strategies is no longer optional—it’s a necessity for staying competitive in the dynamic landscape of sports and entertainment.<h3>Benefits of Real-Time Data for Customer Engagement</h3>Implementing multi-party data strategies offers numerous benefits for customer engagement. Some of the key advantages include:<ul><li>Personalization: Tailoring content and experiences to individual preferences enhances customer satisfaction.</li><li>Immediate Feedback: Real-time data allows companies to respond quickly to audience reactions, improving service and engagement.</li><li>Enhanced Interaction: Interactive features like live polls and Q&amp;A sessions can be seamlessly integrated into events, boosting participation. </li></ul>For example, a fan attending a live game could receive personalized notifications about concessions, merchandise offers, or exclusive meet-and-greet opportunities, all informed by data shared between the venue, team, and sponsors.Additionally, this collaborative approach fosters innovation. Sports and entertainment organizations can work with <a data-mce-href="https://datacurve.io" href="https://datacurve.io" target="_blank" rel="noopener">DataCurve</a> to develop immersive experiences, such as augmented reality activations or gamified interactions, using shared datasets to ensure relevance and engagement.The benefits extend beyond engagement to include operational efficiency and compliance. By adopting secure, interoperable systems, stakeholders can maintain data privacy and adhere to regulations like GDPR while unlocking new revenue streams. Multi-party data is not just a tool—it’s a strategic advantage for driving deeper connections with fans and audiences in today’s competitive landscape.<figure id="figure-b4gl68rumm5ai2mf6"><img id="b4gl68rumm5ai2mf6" src="https://media.gettyimages.com/id/1444539736/photo/a-circle-a-funnel-of-blue-waves-of-lines-and-particles-of-multi-colored-beautiful-bright.jpg?b=1&amp;s=2048x2048&amp;w=0&amp;k=20&amp;c=XTMkRTN3-UV6C09kLmNx58nP6yizGYg6QciwhAZsPIY=" alt="A circle, a funnel of blue waves of lines and particles of multi-colored beautiful bright glowing shiny energy magical. Abstract background" title="A circle, a funnel of blue waves of lines and particles of multi-colored beautiful bright glowing shiny energy magical. Abstract background" class="object-cover bg-gray-100 rounded-sm md:rounded-md lg:rounded-lg" style="aspect-ratio: 16/9; object-position: undefined undefined;" data-corners="default" data-aspect="16:9" data-caption="" data-positionx="undefined" data-positiony="undefined" data-fullwidth="false" data-mce-src="https://media.gettyimages.com/id/1444539736/photo/a-circle-a-funnel-of-blue-waves-of-lines-and-particles-of-multi-colored-beautiful-bright.jpg?b=1&amp;s=2048x2048&amp;w=0&amp;k=20&amp;c=XTMkRTN3-UV6C09kLmNx58nP6yizGYg6QciwhAZsPIY=" data-mce-style="aspect-ratio: 16/9; object-position: undefined undefined;"></figure><h3>Applications in Sports</h3>In the sports industry, multi-party data is being used to transform fan experiences both at the stadium and on streaming platforms. Teams and event organizers can deliver instant updates on player performances, injury reports, and game strategies. This not only keeps fans engaged but also enhances their understanding of the game, and keeping them engaged with pre-game or post-game experiences.&nbsp;Moreover, fantasy sports platforms have an opportunity to embrace multi-party data to break away from the data silo that they operate in by brining new experiences into the fantasy operations. This immediacy will keep participants engaged throughout the season, driving higher user retention and satisfaction.<h3>Applications in Entertainment</h3>The entertainment sector is also leveraging real-time data to enhance viewer experiences. Streaming services can analyze viewing patterns in real-time to recommend shows or movies that align with current viewer preferences. This personalized approach increases viewer engagement and loyalty.<figure id="figure-exh3y0zdwjm5ac9zbk"><img id="exh3y0zdwjm5ac9zbk" src="https://media.gettyimages.com/id/2152071825/photo/group-of-young-women-enjoying-at-a-beach-music-festival-dancing-together-in-summer-outfits.jpg?b=1&s=2048x2048&w=0&k=20&c=gveWjYqQI7zX13mmfbgnYqyquHyFk_OLolYon6LVaPw=" alt="Group of young women enjoying at a beach music festival, dancing together in summer outfits with sunglasses. Sunlight illuminates the happy crowd, friends celebrate, party atmosphere by the ocean." title="Group of young women enjoying at a beach music festival, dancing together in summer outfits with sunglasses. Sunlight illuminates the happy crowd, friends celebrate, party atmosphere by the ocean." class="object-cover bg-gray-100 rounded-sm md:rounded-md lg:rounded-lg" style="aspect-ratio: 16/9; object-position: center center;" data-corners="default" data-aspect="16:9" data-caption="" data-positionX="null" data-positionY="null" data-fullWidth="false"/></figure>Live events such as concerts or festivals benefit from multi-party data by offering dynamic content that adapts based on audience profiles. Real-time feedback from social media platforms can be used to adjust performances or address any issues promptly, ensuring a smooth and enjoyable experience for attendees.<h3>The Future of Real-Time Data in Sports &amp; Entertainment</h3>The future of fan engagement in sports and entertainment is on the cusp of a revolution with the adoption of multi-party data. As technology evolves, we can expect even more innovative applications that will further blur the lines between digital and physical experiences.By keeping pace with these advancements, sports and entertainment organizations can ensure they remain competitive in an ever-evolving landscape, providing fans and audiences with unparalleled experiences that keep them coming back for more.

Dynamic Fan Engagement in Sports & Entertainment Using Multi-Party Data

5G and AI technology, Global communication network concept.

<h3>The Importance of Actionable Intelligence</h3>Modern day businesses are inundated with information from various sources. However, any enterprise pre-COVID was built in the analog era, when data was a by-product of various processes and operations, whether necessary or not to the enterprise's success.&nbsp;Today, faced with the edict of data-driven decision-making, enterprises are generating vast volumes of data at unprecedented rates. However, the sheer scale of this data has outpaced the ability of human teams to process and extract actionable insights. Compounding this issue, the relationships and patterns within the data—often referred to as “connecting the dots”—are becoming increasingly complex and non-obvious. As such, a significant portion of enterprise data remains underutilized, sitting idle in data centers with no meaningful contribution to business growth or innovation.DataCurve estimates that 80-90% of all enterprise data falls into this category of idle data. This includes unstructured data such as emails, images, and videos, as well as semi-structured and structured datasets from IoT devices, CRM systems, and operational workflows. Data silos between applications, clouds, system integrators, etc. exacerbate this problem. The opportunity cost of not being able to transform this idle data to new revenue is staggering, in our estimate over $1 Trillion. Enterprises are essentially sitting on a goldmine of insights that could drive new revenue and create completely novel consumer experiences, but the inability to process and integrate this data renders it dormant.DataCurve's Actionable Intelligence (AI) refers to insights that are not only relevant and accurate but also immediately applicable to decision-making processes.<h3>Unlocking Idle Data with DataCurve</h3>The key to activating this idle data lies in leveraging advanced technologies like AI, machine learning, and platforms like DataCurve's Logicware. These solutions are designed to process large datasets at scale, uncover hidden patterns, and establish meaningful connections between disparate data points. AI agents, for example, can analyze unstructured and structured data simultaneously, identifying trends and opportunities that would remain invisible to human analysts.Businesses that successfully harness Actionable Intelligence can make informed decisions quickly, adapt to market changes efficiently, and ultimately gain a competitive edge. By focusing on data that provides real value, companies can pinpoint opportunities, mitigate risks, and align their strategies with customer needs and market trends.DataCurve provides the interoperability layer and scalable solutions to integrate multi-party data, enabling enterprises to transform idle data into Actionable Intelligence (AI). By automating data analysis and connecting the dots, businesses can unlock new growth opportunities and make data-driven decisions with confidence. In a competitive landscape, turning idle data into a strategic asset is no longer optional—it is essential for sustained enterprise growth.<figure id="figure-d00a3zaamkm5apqoc8"><img id="d00a3zaamkm5apqoc8" src="https://media.gettyimages.com/id/1209432793/photo/5g-and-ai-technology-global-communication-network-concept.jpg?b=1&amp;s=2048x2048&amp;w=0&amp;k=20&amp;c=MxrWMeRPVXUoGj-X8jmT50XWcKvafgEv-6FoQhwDOYM=" alt="5G and AI technology, Global communication network concept." title="5G and AI technology, Global communication network concept." class="object-cover bg-gray-100 rounded-sm md:rounded-md lg:rounded-lg" style="aspect-ratio: 16/9; object-position: center center;" data-corners="default" data-aspect="16:9" data-caption="" data-positionx="undefined" data-positiony="undefined" data-fullwidth="false" data-mce-src="https://media.gettyimages.com/id/1209432793/photo/5g-and-ai-technology-global-communication-network-concept.jpg?b=1&amp;s=2048x2048&amp;w=0&amp;k=20&amp;c=MxrWMeRPVXUoGj-X8jmT50XWcKvafgEv-6FoQhwDOYM=" data-mce-style="aspect-ratio: 16/9; object-position: center center;"></figure><h3>Leveraging Actionable Intelligence for Revenue Growth</h3>Once Actionable Intelligence is obtained, businesses can use it to drive revenue growth in several ways. One effective approach is through personalized marketing initiatives. By understanding customer preferences and behaviors, companies can tailor their marketing efforts to target specific segments, thereby increasing customer engagement and conversion rates.Another strategy involves product development roadmaps. Actionable Intelligence into market trends can guide product development and innovation, ensuring that the product can continuously adapt to and shape consumer demand. Businesses that embrace Actionable Intelligence and continue to prioritize data-driven decision-making will be well-positioned to thrive in an increasingly competitive marketplace. By staying ahead of the curve, companies can ensure they are not only meeting current demands but also anticipating future trends and opportunities.

Actionable Intelligence: Transforming Raw Data to New Revenue

DataCurve, Inc

DataCurve empowers businesses to turn their data into real-time actionable intelligence that drive deeper customer connections and more revenue. DataCurve focuses on sports & entertainment, retail brands, decarbonization, and smart cities as vertical industries. 

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