We collect cookies to analyze our website traffic and performance; we never collect any personal data. Cookie Policy
Accept
NEW YORK DAWN™NEW YORK DAWN™NEW YORK DAWN™
Notification Show More
Font ResizerAa
  • Home
  • Trending
  • New York
  • World
  • Politics
  • Business
    • Business
    • Economy
    • Real Estate
  • Crypto & NFTs
  • Tech
  • Lifestyle
    • Lifestyle
    • Food
    • Travel
    • Fashion
    • Art
  • Health
  • Sports
  • Entertainment
Reading: From 220M information factors to income: How AI is remodeling sports activities leisure ROI
Share
Font ResizerAa
NEW YORK DAWN™NEW YORK DAWN™
Search
  • Home
  • Trending
  • New York
  • World
  • Politics
  • Business
    • Business
    • Economy
    • Real Estate
  • Crypto & NFTs
  • Tech
  • Lifestyle
    • Lifestyle
    • Food
    • Travel
    • Fashion
    • Art
  • Health
  • Sports
  • Entertainment
Follow US
NEW YORK DAWN™ > Blog > Technology > From 220M information factors to income: How AI is remodeling sports activities leisure ROI
From 220M information factors to income: How AI is remodeling sports activities leisure ROI
Technology

From 220M information factors to income: How AI is remodeling sports activities leisure ROI

Last updated: February 7, 2025 3:03 pm
Editorial Board Published February 7, 2025
Share
SHARE

The Tremendous Bowl is likely one of the largest sports activities leisure occasions on the planet, bringing in additional than 100 million viewers and a billion in income.

However for NFL groups and sports activities leisure basically, there’s a lengthy highway to championship as franchises goal to construct model, develop fandom and maximize revenues.

One of many methods to make that occur is AI.

The expertise isn’t any stranger to the world of sports activities leisure. Predating the trendy period of generative AI — way back to 2017 — huge distributors like IBM had been already discussing how AI would disrupt sport leisure networks. The NFL itself is utilizing AI to assist enhance participant security with a Digital Athlete system developed in partnership with AWS. The NFL can also be utilizing AWS to construct gen AI-powered apps utilizing the Amazon MemoryDB database.

For particular person groups, each within the NFL and throughout the sports activities leisure panorama, there are different choices for implementing gen AI. One such choice, launching right now, comes from Elevate, a expertise vendor led by Al Guido, who can also be the president of the San Francisco 49ers NFL soccer workforce.

The corporate’s new Elevate efficiency and insights cloud (EPIC) information and AI platform combines client insights, ticketing administration and property analytics to assist sports activities and leisure organizations have interaction higher with followers. The platform helps organizations with focused engagement efforts to higher perceive potential buyer personas. That info helps decide stadium seating choices, ticket pricing and fan retention. The platform has already been utilized by greater than 25 organizations, together with the Tennessee Titans.

Elevate has been in operation since 2018, however now with the arrival of gen AI, the corporate is ready to do way more with information.

“Building EPIC has reinforced a fundamental truth that we’ve seen and validated with our clients since we’ve been in operation — data is only as powerful as the decisions it enables,” Guido, Elevat’s chairman and CEO, informed VentureBeat. “In sports, the challenge isn’t just capturing that data but harnessing it to drive real, actionable intelligence that improves fan engagement, revenue strategies and operational efficiency.”

The information challenges of constructing an AI-first engagement system

Elevate already has information for about 220 million folks in its system. The corporate collects first-party information by way of its shopper work and relationships. This consists of information on fan conduct, ticket gross sales, sponsorships and different property-related info. Elevate additionally licenses and purchases third-party information units to additional enrich person profiles.

Guido famous that many organizations accumulate what looks like infinite quantities of information, however they battle to unify and leverage it. EPIC was designed to bridge that hole. 

To completely profit from fashionable gen AI, information ought to be in a vector database format, Elevate contends. CIO Jim Caruso defined to VentureBeat that his firm has undergone an intensive course of to not solely vectorize information, however to verify it’s the proper information to assist inform enterprise choices.

There isn’t any scarcity of database distributors and applied sciences that declare to make vectorizing information easy. In actuality, Caruso burdened that the vectorization course of isn’t so simple as turning on a swap. As a part of constructing EPIC, they reevaluated all information and the way it may work collectively to offer the very best insights. The precise vectorization course of concerned testing completely different approaches and processing pipelines to search out the proper steadiness of accuracy and efficiency.

At present, Elevate makes use of Amazon Sagemaker to make its vectorization work.

How Anthopic Claude, XGBoost and Amazon Bedrock assist to energy AI insights for EPIC

Caruso defined that the EPIC system supplies a variety of AI-powered purposes, from pricing tickets to growing client insights personas. Elevate is utilizing a mixture of various applied sciences to construct these instruments.

On the core is the Anthropic Claude Haiku 3.5 massive language mannequin (LLM), which has been fine-tuned on Elevate’s information. Claude supplies the interface to ask questions and get insights based mostly on completely different personas. 

For instance, one persona may very well be a venue operator that desires to find out one of the simplest ways to configure premium seating in a venue. That operator might want to perceive who could be occupied with these seats and the way they need to be marketed to completely different teams.

Elevate went past simply figuring out broad demographic segments, like suburban millennials. As a substitute, they created a sequence of distinct personas with a spread of attributes together with funds, shopping for preferences, leisure decisions and social networking engagement. The important thing purpose is to offer very concrete, detailed personas that allow organizations to make particular enterprise choices.

The system additionally makes use of the XGBoost (eXtreme Gradient Boosting) open-source machine studying (ML) library by way of Amazon Sagemaker to particularly assist with numerical information for ticket pricing.  XGBoost is a supervised ML algorithm that makes use of determination timber to make predictions. Caruso defined that his workforce transformed historic information, in addition to real-time information, into 55 completely different options. These embrace occasion particulars, stock particulars and up to date gross sales info. All had been then then fed into the XGBoost algorithm. 

The aggressive panorama for AI throughout sports activities leisure

Guido stated that throughout the NFL and past, the preliminary response to EPIC has been optimistic.

Many properties face related challenges: fragmented information sources, evolving fan expectations and the necessity for smarter, extra environment friendly income technology. Guido additionally clearly acknowledges that the aggressive panorama for this type of expertise is increasing. There are conventional buyer relationship administration (CRM) and analytics suppliers, like Salesforce, however in his view, they usually lack the industry-specific intelligence that EPIC brings to sports activities and reside leisure.

“What sets EPIC apart is its deep integration with the realities of sports,” stated Guido. 

How AI-powered insights are driving real-world influence for the Tennessee Titans

Among the many early customers of EPIC is the NFL’s Tennessee Titans. The workforce is working with Elevate because it develops a brand new $2.1 billion stadium set to open in 2027.

As a part of the engagement, Elevate has helped lead sponsorship gross sales for the brand new stadium. The corporate developed a strategic partnership income roadmap, a category-specific go-to-market technique and set annual gross sales targets by way of the stadium’s launch. 

With EPIC, the Titans have been capable of construct out detailed personas for followers to tell focused advertising and marketing methods, from messaging to premium seating and hospitality choices. Though the brand new stadium remains to be a number of years away from opening, the Titans have been capable of exceed gross sales targets for premium seating already, with information and AI-powered insights as the inspiration.

It’s not only for the NFL; school athletics are additionally benefiting from AI-powered insights

Whereas there’s huge cash within the NFL, there’s additionally a whole lot of alternative (in addition to many challenges) at different ranges of sports activities leisure, together with schools.

“University athletic departments are undergoing a profound digital transformation, and data is at the center of it,” Tom Moreland, chief business officer on the College of Illinois Athletics, informed VentureBeat. “One of the biggest lessons we’ve learned is that technology alone isn’t the solution — strategy comes first.”

Moreland defined that his college has been prioritizing the way it collects, interprets and applies information to boost the experiences of its coaches, student-athletes, and followers. 

To date, the EPIC platform has supplied College of Illinois Athletics with the essential data-driven insights required to enhance soccer and males’s basketball ticketing, in addition to an annual giving mannequin. Moreland stated that the EPIC evaluation supplied intelligence that enabled the varsity to maneuver past assumptions and make strategic, knowledgeable choices. In the end, he famous, EPIC empowered his division to create a extra participating and sustainable mannequin for loyal followers and donors.

“Athletic departments that take the time to invest in data quality, structure and application will be the ones that truly benefit from any new technology,”  stated Moreland.

Each day insights on enterprise use instances with VB Each day

If you wish to impress your boss, VB Each day has you lined. We provide the inside scoop on what corporations are doing with generative AI, from regulatory shifts to sensible deployments, so you may share insights for optimum ROI.

An error occured.

vb daily phone

You Might Also Like

GAM takes purpose at “context rot”: A dual-agent reminiscence structure that outperforms long-context LLMs

The 'reality serum' for AI: OpenAI’s new technique for coaching fashions to admit their errors

Anthropic vs. OpenAI pink teaming strategies reveal completely different safety priorities for enterprise AI

Inside NetSuite’s subsequent act: Evan Goldberg on the way forward for AI-powered enterprise methods

Nvidia's new AI framework trains an 8B mannequin to handle instruments like a professional

TAGGED:220MdataEntertainmentpointsrevenueROISportstransforming
Share This Article
Facebook Twitter Email Print

Follow US

Find US on Social Medias
FacebookLike
TwitterFollow
YoutubeSubscribe
TelegramFollow
Popular News
Reinstallation of Trump and Epstein statue denied after its elimination from Nationwide Mall
Entertainment

Reinstallation of Trump and Epstein statue denied after its elimination from Nationwide Mall

Editorial Board September 26, 2025
The Far Right and Far Left Agree on One Thing: Women Don’t Count
Research look at cost-effectiveness of maternal RSV vaccination and nirsevimab in infants
Examine finds elevated survival with nivolumab plus ipilimumab vs. chemo for metastatic colorectal most cancers
Delia Ephron Writes Her Way Through Cancer to a Happy Ending

You Might Also Like

Gong examine: Gross sales groups utilizing AI generate 77% extra income per rep
Technology

Gong examine: Gross sales groups utilizing AI generate 77% extra income per rep

December 4, 2025
AWS launches Kiro powers with Stripe, Figma, and Datadog integrations for AI-assisted coding
Technology

AWS launches Kiro powers with Stripe, Figma, and Datadog integrations for AI-assisted coding

December 4, 2025
Workspace Studio goals to unravel the true agent drawback: Getting staff to make use of them
Technology

Workspace Studio goals to unravel the true agent drawback: Getting staff to make use of them

December 4, 2025
Gemini 3 Professional scores 69% belief in blinded testing up from 16% for Gemini 2.5: The case for evaluating AI on real-world belief, not tutorial benchmarks
Technology

Gemini 3 Professional scores 69% belief in blinded testing up from 16% for Gemini 2.5: The case for evaluating AI on real-world belief, not tutorial benchmarks

December 3, 2025

Categories

  • Health
  • Sports
  • Politics
  • Entertainment
  • Technology
  • Art
  • World

About US

New York Dawn is a proud and integral publication of the Enspirers News Group, embodying the values of journalistic integrity and excellence.
Company
  • About Us
  • Newsroom Policies & Standards
  • Diversity & Inclusion
  • Careers
  • Media & Community Relations
  • Accessibility Statement
Contact Us
  • Contact Us
  • Contact Customer Care
  • Advertise
  • Licensing & Syndication
  • Request a Correction
  • Contact the Newsroom
  • Send a News Tip
  • Report a Vulnerability
Term of Use
  • Digital Products Terms of Sale
  • Terms of Service
  • Privacy Policy
  • Cookie Settings
  • Submissions & Discussion Policy
  • RSS Terms of Service
  • Ad Choices
© 2024 New York Dawn. All Rights Reserved.
Welcome Back!

Sign in to your account

Lost your password?