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SAN FRANCISCO - July 30, 2025<a data-mce-href="https://datacurve.io" href="https://datacurve.io" target="_blank" rel="noopener"> DataCurve</a>, the AI company transforming fan intelligence across sports, media, and entertainment and <a data-mce-href="https://swiirl.io" href="https://swiirl.io" target="_blank" rel="noopener">Swiirl</a>, the leading platform for community-powered creative campaigns, today announced a strategic partnership designed to transform how sports teams, leagues, and entertainment companies engage with their audiences and measure impact.This partnership brings together DataCurve's advanced digital engagement and analytics platform, FanZone, and Swiirl's AI-powered campaign engine for community co-creation, to deliver an integrated solution for authentic fan interaction, event-driven digital content, and real-time ROI measurement.Key Benefits for Sports Teams, Leagues, Media, and Entertainment Companies<ol><li>Authentic, Localized Content at Scale: Swiirl enables brands to co-create campaigns directly with communities—local creators, schools, and grassroots organizations—bringing real voices to the forefront. Proprietary AI agents guide communities through ideation and content creation, using real-time sentiment data to shape messaging that feels emotionally resonant and culturally aligned.</li><li>Grassroots Amplification That Drives Real Engagement: With Swiirl, communities don't just create the campaigns—they champion them. Content is shared through the same trusted local networks that shaped it, embedding the brand organically into everyday conversations and culture. The result: deeper engagement, greater credibility, and authentic reach that scales.</li><li>Enhanced Digital Engagement Through Smart Profiles: DataCurve's FanZone platform and AI agents capture contextual intelligence from Swiirl's creative outputs to power dynamic, always-evolving smart profiles. This enables hyper-personalized engagement that is rooted in privacy and transparency.</li></ol>Unlock New Revenue Streams with Measurable ROI FanZone empowers brands to capture real-time insights on fan behavior to accelerate growth with actionable, monetizable insights that drive new revenue streams. With a privacy driven, unified platform for fan engagement, teams and entertainment companies can create new revenue sources and unlock deeper personalization opportunities."Swiirl turns communities into creative partners for brands—producing content that is real, travels further, and resonates more deeply. With DataCurve, we're layering in powerful fan insights to deliver campaigns that not only engage but drive meaningful action" said Daniel Mohanrao, founder &amp; CEO of Swiirl.DataCurve's Role: Driving Digital Asset Innovation and Consumer Intelligence"Our mission at DataCurve is to turn fragmented fan data into intelligent, real-time engagement. With Swiirl, we are enhancing the value of personalized content, to build deeper, richer connections with fans in both digital and physical spaces", said Aman Johar, founder and CEO, DataCurve.About SwiirlSwiirl is an AI-powered platform transforming communities into creative partners. By connecting brands with local creators, schools, and organizations, Swiirl enables the design, production, and distribution of authentic, story-driven campaigns.About DataCurveDataCurve, Inc. powers FanZone™, an autonomous AI agent platform that surfaces actionable insights from fragmented fan data, enabling real-time personalization and revenue growth for sports, media, and entertainment partners.

DataCurve & Swiirl | Authentic Voices. Engaged Fans. Real Impact.

<h3>Paris / San Francisco — [July 22, 2025] </h3><a data-mce-href="https://matchain.io" href="https://matchain.io" target="_blank" rel="noopener">Matchain</a>, a leading Web3 identity and blockchain platform and Official Partner of Paris Saint-Germain (PSG), today announces the launch of MatchAI, the next-generation AI infrastructure layer developed in strategic collaboration with <a data-mce-href="https://datacurve.io" href="https://datacurve.io" target="_blank" rel="noopener">DataCurve</a>, Inc., the AI company transforming fan intelligence across sports, media, and entertainment.MatchAI is a foundational intelligence layer that embeds DataCurve’s advanced FanZone™ AI suite directly with Matchain’s blockchain ecosystem. This powerful integration unites identity, data, and intelligence, enabling real-time personalization, behavioral insights, and agent-driven contextual experiences at global scale.<figure id="figure-c13j1q0elzmden31b1" class="selected"><img id="c13j1q0elzmden31b1" src="https://cdn.durable.co/blocks/4llvlj1c7lxJla56Ef6rqZLyP01UB0h7ZuMjwaqNV1Mk39x7iEXgz79tzFTBxNel.jpg" alt="DataCurve's FanZone now powers MatchAI for fan intelligence for clubs like Paris Saint-Germain, PSG and sports clubs, teams, leagues, venues and fans. " title="DataCurve's FanZone now powers MatchAI for fan intelligence for clubs like Paris Saint-Germain, PSG and sports clubs, teams, leagues, venues and fans. " 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://cdn.durable.co/blocks/4llvlj1c7lxJla56Ef6rqZLyP01UB0h7ZuMjwaqNV1Mk39x7iEXgz79tzFTBxNel.jpg" data-mce-style="aspect-ratio: 16/9; object-position: undefined undefined;"></figure><h3>Introducing MatchAI with FanZone™ </h3>MatchAI is a vertically integrated AI and agent infrastructure powering the entire Matchain ecosystem. From decentralized identity (MatchID) to user-facing tools (MatchHUB) and partner applications.At its core, MatchAI integrates key capabilities from DataCurve’s FanZone™ suite:<ul><li>Smart Fan and Player Profiles: Dynamic, always-evolving smart profiles for fans and players driven by contextual AI agents that enable hyper-personalized engagement, rooted in privacy and transparent data practices that foster trust</li><li>Real-time Contextual Intelligence: Interactive data-driven experiences that go from insights to activations in hours that spark authentic participation to unlock meaningful connections between fans, teams, and brands</li><li>Unlock New Revenue Streams: Accelerate growth with actionable, monetizable insights that deliver relevant upsells, tokenized rewards and dynamic sponsor activations, to transform engagement into a measurable business opportunity</li></ul>This infrastructure gives Matchain and its partners a robust, modular foundation to deploy and scale intelligent fan-facing services globally.<h3>Smarter Identity with MATCHID </h3>MatchID, Matchain’s decentralized identity platform, will now be powered by MatchAI agents to deliver real-time intelligence and automation while preserving user privacy and control through on-chain governance.These agents enhance MatchID by enabling features like intelligent onboarding, dynamic support flows, fraud detection, and identity interaction scoring. The result is a living, learning identity system, where every user interaction becomes more relevant, personalized, and autonomous.<h3>Personalized Engagement via MATCHHUB </h3>MatchHUB, Matchain’s central user interface for dApps and services, will also benefit from the MatchAI integration. By integrating agent-driven personalization and AI-based insights, MatchHUB delivers a smarter, more adaptive user experience. Fans receive tailored content and service recommendations, while multilingual AI assistants provide seamless onboarding and responsive support. Real-time analytics and sentiment feedback loops ensure the platform continuously learns and improves, enabling dynamic community experiences that evolve based on user behavior. MatchHUB is redefining fan engagement by transforming static, one-way interactions that adapts and improves with every fan touchpoint.<h3>A New Era for Global Sports and Fan Engagement</h3>‍As part of this initiative, DataCurve will provide its software and AI expertise and agent-building services to Matchain and its clients, including global brands like <a data-mce-href="https://www.psg.fr/en" href="https://www.psg.fr/en" target="_blank" rel="noopener">Paris Saint-Germain (PSG)</a>. For PSG and other partners, MatchAI unlocks the ability to:<ul><li>Deploy multilingual fan-facing AI agents across Web, mobile, and social platforms</li><li>Monitor and respond to fan sentiment in real time</li><li>Deliver personalized offers, content, and digital rewards based on behavioral signals</li><li>Activate AI-driven experiences around live matches, merchandise, and community moments</li></ul>Together, Matchain and DataCurve are reimagining what fan engagement looks like for PSG’s 550 million global fans and laying the foundation for adoption across leagues, teams, and entertainment ecosystems worldwide.<h3>‍🔗 Why This Partnership Matters </h3>This is more than a product launch, it’s a strategic alliance."With MatchAI, we’re not just adding intelligence to our platform, we’re redefining the way fans connect with their favorite teams and communities. This collaboration with DataCurve allows us to deliver dynamic, AI-powered experiences that respect privacy, scale globally, and unlock the true potential of MatchID” said Petrix Barbosa, founder and CEO, Matchain.Matchain brings a powerful blockchain identity platform and distribution through tier-one partners while DataCurve brings deep AI agent expertise and customizable infrastructure. &nbsp;Together, this is a potent combination for privacy-respecting, real-world AI adoption for the next generation of digital fans."Our mission at DataCurve is to turn fragmented fan data into intelligent, real-time engagement. Through MatchAI, we’re empowering global sports brands like PSG to build deeper, richer connections with their fans while preserving trust and ownership”, said Aman Johar, founder and CEO, DataCurve.<h3>📅 What’s Next </h3>MatchAI is already live in early-stage integrations within the MatchID system and will launch publicly in conjunction with upcoming PSG campaigns. Developer tools and agent SDKs will be available via MatchHUB in Q4 2025, allowing creators, brands, and developers to build on the MatchAI framework.About Matchain and DataCurve Matchain is a Web3 infrastructure provider delivering decentralized identity and blockchain solutions to global brands. As the Exclusive Digital Identity Partner of Paris Saint-Germain from 2024 to 2027, Matchain is leading the transformation of sports engagement through secure, intelligent technology.DataCurve, Inc. powers FanZone™, an autonomous AI agent platform that surfaces actionable insights from fragmented fan data, enabling real-time personalization and revenue growth for sports, media, and entertainment partners.Visit <a data-mce-href="https://matchain.io" href="https://matchain.io" target="_blank" rel="noopener">matchain.io</a> and <a data-mce-href="https://datacurve.io" href="https://datacurve.io">datacurve.io</a> to learn more.

Matchain and DataCurve Launch MATCHAI: An AI-Powered Intelligence Layer for Web3 Identity and Global Fan Engagement

<h3>DataCurve Joins Perplexity for Startups&nbsp;</h3>Revolutionizing Fan Engagement Through AI-Powered Data UnificationWe are thrilled to announce a significant milestone in DataCurve's journey toward transforming the sports, media, and entertainment landscape. DataCurve, Inc. has been selected for the Perplexity for Startups program, marking a pivotal moment in our mission to revolutionize fan engagement through intelligent data unification. This partnership represents more than just program participation—it signals the beginning of a new era where AI-native search and contextual intelligence will fundamentally reshape how organizations understand, connect with, and monetize their fan communities across the dynamic ecosystems of sports, media, and entertainment.Breaking Down Data Silos in Sports and Entertainment In today's fragmented digital landscape, fan data exists in countless disconnected silos across venues, streaming platforms, ticketing systems, social media interactions, and other touchpoints. Each platform captures valuable insights about fan behavior, preferences, and engagement patterns, yet these insights remain isolated and underutilized. DataCurve's <a data-mce-href="https://datacurve.io/solutions/fanzone" href="https://datacurve.io/solutions/fanzone" target="_blank" rel="noopener">Fanzone</a> platform addresses this critical challenge by unifying fan identity and fan data across these fragmented systems while maintaining the highest standards of privacy protection.Fanzone serves as the connective tissue between disparate data sources, creating a holistic view of fan behavior that was previously impossible to achieve. By bridging the gaps between venue analytics, streaming metrics, social engagement data, and transaction histories, we enable organizations to understand their audiences in unprecedented depth and granularity.The privacy-first approach embedded in our platform ensures that while data becomes more connected and actionable, individual fan privacy remains paramount. DataCurve employs advanced encryption, anonymization techniques, and consent management protocols to ensure that fan trust is never compromised in the pursuit of better insights.The Power of AI-Native Context and Search The partnership with Perplexity opens extraordinary opportunities to accelerate the integration of AI-native context and search capabilities into the fluid, fast-paced environments that define sports, media, and entertainment industries. In these sectors, data flows like a stream, constantly moving, evolving, and requiring real-time analysis to extract meaningful insights.Traditional data analysis methods often fall short in these dynamic environments because they rely on static reports and historical analysis. The integration of Perplexity's advanced AI search and contextual intelligence capabilities will enable real-time, conversational interactions with complex fan data sets. Organizations will be able to ask natural language questions about fan behavior, engagement trends, and market opportunities, receiving instant, actionable insights for immediate decision-making.This AI-native approach transforms how organizations interact with their data, moving from periodic reporting cycles to continuous, intelligent monitoring and analysis. The ability to surface contextual insights in real-time means that opportunities can be identified and acted upon while they're still relevant, whether that's adjusting marketing campaigns during live events, optimizing content distribution strategies, or personalizing fan experiences at the moment of interaction.Driving Measurable Business Impact The combination of DataCurve's unified data platform and enhanced AI capabilities delivers tangible business results that extend far beyond improved analytics. Organizations implementing our solutions experience more than a 10x improvement in fan engagement metrics, driven by the ability to create more personalized, timely, and relevant fan experiences.This dramatic improvement in engagement translates directly into new monetization channels and revenue opportunities. When organizations understand their fans at a granular level and can act on those insights in real-time, they can create targeted sponsorship packages, develop personalized merchandise offerings, optimize pricing strategies, and identify previously hidden revenue streams.Fanzone's ability to connect data across touchpoints also enables sophisticated attribution modeling, allowing organizations to understand which investments in fan engagement deliver the highest returns. This data-driven approach to fan relationship management ensures that marketing budgets are allocated efficiently and that fan acquisition and retention strategies are optimized for maximum impact.Transforming League and Studio Operations The applications of our enhanced platform extend across the entire sports, media, and entertainment ecosystem. For sports leagues, the integration of AI-powered contextual search enables deeper fan engagement through personalized content recommendations, targeted marketing campaigns, and optimized event experiences. Leagues can now understand fan preferences at both the individual and segment level, allowing for sophisticated personalization that drives loyalty and revenue.Media studios face increasingly complex distribution decisions in today's fragmented content landscape. DataCurve helps streamline these decisions by providing comprehensive insights into audience preferences, engagement patterns, and market dynamics across multiple platforms and geographic regions. Studios can optimize release strategies, target marketing efforts more effectively, and make data-driven decisions about content development and distribution partnerships.The real-time nature of these insights is particularly valuable in fast-moving entertainment markets where timing can make the difference between success and failure. Whether it's adjusting a marketing campaign based on early audience reactions or pivoting distribution strategies based on competitive developments, the ability to access contextual intelligence instantly provides a significant competitive advantage.The Growing Demand for Contextual Intelligence The need for contextual and actionable data in sports, media, and entertainment has never been greater. Modern fans expect personalized experiences that reflect their individual interests, viewing habits, and engagement preferences. They interact with content and brands across multiple platforms and touchpoints, creating complex behavioral patterns that require sophisticated analysis to understand and act upon. The traditional approach of analyzing data in isolation fails to capture these cross-platform behaviors and the contextual factors that influence fan decisions.As fan expectations continue to evolve and competition for attention intensifies, organizations must move beyond simple demographic analysis to understand the nuanced, contextual factors that drive fan behavior and preferences.The partnership with Perplexity addresses this growing demand by providing the tools and capabilities necessary to extract contextual intelligence from complex, multi-source data sets. Organizations can now understand not just what fans are doing, but why they're doing it and how external factors influence their behavior and preferences.This collaboration brings together complementary expertise and shared vision for the future of intelligent data platforms. An alignment of capabilities and bedrock infrastructure positions DataCurve to drive innovation in the broader landscape of AI-powered business intelligence and contextual decision-making.The future of fan engagement lies in the seamless integration of comprehensive data intelligence with AI-powered contextual search and analysis. As we work together with the Perplexity team, we're not just improving existing processes—we're reimagining what's possible when organizations have access to unified, intelligent, and actionable insights about their audiences. This partnership marks the beginning of a new chapter in data-driven fan engagement, and we're excited to lead this transformation alongside Perplexity and our growing community of forward-thinking organizations in sports, media, and entertainment.

DataCurve x Perplexity

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

Data Analysis Chart Graph 3D Statistics Background

<h2>Real-Time Analytics Unify the Sports Experience</h2>In today’s sports world, fans aren’t just spectators—they’re active participants, craving deeper connections and immersive experiences. At <a data-mce-href="https://datacurve.io" href="https://datacurve.io" target="_blank" rel="noopener">DataCurve</a>, we believe the future of sports lies in harnessing real-time analytics to not only elevate gameplay but to unify fan data and transform how audiences engage with their favorite teams. Let’s dive into how this technology is rewriting the rules of fandom.<img id="7v68o53fpnm6ecltpx" src="https://media.gettyimages.com/id/1809645289/photo/sports-car-driving-at-on-a-road-on-high-speed-racing-through-the-colorful-dark-tunnel-with.jpg?b=1&amp;s=2048x2048&amp;w=0&amp;k=20&amp;c=RsVPD3WMkC49wMsEXrJBbyK9ijKafrpeiSlL52A3qcw=" alt="3D Car Model: Sports Car Driving at on a Road on High Speed, Racing Through the Colorful Dark Tunnel With Lights Reflecting Everywhere. Dark Supercar Driving Fast on Highway. VFX on Image." title="3D Car Model: Sports Car Driving at on a Road on High Speed, Racing Through the Colorful Dark Tunnel With Lights Reflecting Everywhere. Dark Supercar Driving Fast on Highway. VFX on Image." class="object-cover bg-gray-100 rounded-sm md:rounded-md lg:rounded-lg" 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/1809645289/photo/sports-car-driving-at-on-a-road-on-high-speed-racing-through-the-colorful-dark-tunnel-with.jpg?b=1&amp;s=2048x2048&amp;w=0&amp;k=20&amp;c=RsVPD3WMkC49wMsEXrJBbyK9ijKafrpeiSlL52A3qcw=" data-mce-style="aspect-ratio: 16/9; object-position: center center;" style="border-color: rgba(229,231,235,var(--tw-border-opacity)); border-image-source: none; width: 640px; aspect-ratio: 16 / 9; object-position: center center;"><h3>Real-Time Analytics: The&nbsp;</h3><h3>Ultimate Fan Engagement Tool</h3>Gone are the days of waiting for post-game stats or static updates. Real-time analytics is injecting adrenaline into every moment of the sports experience, delivering instant insights that&nbsp;pull fans closer to the action. Imagine watching a game while tracking a player’s speed, heart rate, or shot accuracy live—or adjusting your fantasy league picks mid-play based on dynamic data. This isn’t science fiction; it’s the new reality for fans.At DataCurve, we’re pioneering platforms that aggregate data from wearables, sensors, and social media to create a 360-degree view of every fan. By unifying these insights, teams and brands can deliver hyper-personalized content, rewards, and interactions that resonate in real time.<h3>The Power of Unified Fan Data</h3>Real-time analytics isn’t just about speed—it’s about context. When fans interact with apps, streaming services, or in-stadium tech, they leave behind a trail of data. By unifying this information, sports organizations can:Personalize Experiences: Tailor content like highlight reels, merch offers, or loyalty rewards based on a fan’s behavior, location, or preferences. Boost Interaction: Power live polls, prediction games, or augmented reality (AR) features that sync with on-field action. Connect Communities: Foster global fan networks by linking social media activity, fantasy league stats, and live chats into a single ecosystem. For instance, picture a fan receiving a push notification the moment their favorite player scores, alongside an exclusive discount on that player’s jersey—all because the platform knows their history and preferences. That’s the magic of unified data.From Fantasy Leagues to Front Offices: A Win-Win for Fans and Teams While fans revel in richer experiences, teams and leagues also gain invaluable insights. Real-time analytics allows organizations to:Engage Smarter: Identify superfans, predict attendance trends, or optimize ticket pricing dynamically.Monetize Moments: Serve targeted ads or sponsorships during peak engagement windows (e.g., after a game-winning play).Amplify Storytelling: Broadcasters can integrate live stats, heatmaps, or player biometrics into commentary, turning casual viewers into data-savvy enthusiasts.And let’s not forget fantasy sports and betting markets, where real-time stats aren’t just fun—they’re financial. By unifying fan data, platforms can offer seamless integrations, letting users adjust bets or lineups without ever leaving the app.<img id="ayr5xfv16m6ecltpx" src="https://media.gettyimages.com/id/476499592/photo/team-strategy-on-blackboard.jpg?b=1&amp;s=2048x2048&amp;w=0&amp;k=20&amp;c=5h-Vm2SOr4pphZC8j-9Wtdy3EZRkDqMsFSn5mHNkJA0=" alt="team strategy sports" class="object-cover bg-gray-100" data-mce-src="https://media.gettyimages.com/id/476499592/photo/team-strategy-on-blackboard.jpg?b=1&amp;s=2048x2048&amp;w=0&amp;k=20&amp;c=5h-Vm2SOr4pphZC8j-9Wtdy3EZRkDqMsFSn5mHNkJA0=" data-mce-style="aspect-ratio: 16/9;" style="border-color: rgba(229,231,235,var(--tw-border-opacity)); border-image-source: none; width: 640px; aspect-ratio: 16 / 9;"><h3>Overcoming Challenges: Privacy, Security, and Trust</h3>Of course, great power comes with great responsibility. Unifying fan data requires rigorous attention to privacy and security. At DataCurve, we prioritize:Transparency: Clear opt-in policies and user control over data sharing. Security: Cutting-edge encryption and compliance with global regulations (GDPR, CCPA). Ethical Use: Ensuring data enhances experiences without exploiting user trust. Fans deserve to know their information is safe—and that it’s used to enrich their passion, not exploit it.<h3>The Future: AI, Predictions, and Beyond</h3>The next frontier? Pairing real-time analytics with AI to predict not just player performance, but fan behavior. Imagine platforms that:<ul><li>Anticipate when fans might diseng age and re-engage them with personalized content.</li><li>Use machine learning to suggest new teams or leagues based on viewing habits.</li><li>Offer virtual reality (VR) experiences tha t let fans “step onto the field” using live biometric data.</li></ul>At DataCurve, we’re building this future today—one where every pass, play, and pause is an opportunity to deepen fan loyalty. Real-time analytics isn’t just changing sports; it’s redefining what it means to be a fan. By unifying data streams, we’re creating a world where every interaction—whether in-app, in-stadium, or on social media—feels seamless, thrilling, and uniquely tailored.We’re proud to lead this charge, empowering teams, leagues, and brands to turn raw data into unforgettable experiences. Ready to see how your organization can harness the power of unified fan engagement?Let’s transform the game together. &nbsp;<a data-mce-href="https://cal.com/datacurve/demo" href="https://cal.com/datacurve/demo" target="_blank" rel="noopener">Book a demo</a> or connect with us to <a data-mce-href="https://datacurve.io/contact" href="https://datacurve.io/contact" target="_blank" rel="noopener">start building</a> with DataCurve.&nbsp;

Revolutionizing Fan Engagement: How Real-Time Analytics Unifies the Sports Experience

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

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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