Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

ASML makes $1.5 billion investment in Mistral AI — ASML becomes the largest shareholder for the French AI start-up

Inside Trump’s Private Dinner with Top AI Leaders

UniVerse-1: Unified Audio-Video Generation via Stitching of Experts – Takara TLDR

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • OpenAI (GPT-4 / GPT-4o)
    • Anthropic (Claude 3)
    • Google DeepMind (Gemini)
    • Meta (LLaMA)
    • Cohere (Command R)
    • Amazon (Titan)
    • IBM (Watsonx)
    • Inflection AI (Pi)
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • AI Experts
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • The TechLead
    • Matt Wolfe AI
    • Andrew Ng
    • OpenAI
    • Expert Blogs
      • François Chollet
      • Gary Marcus
      • IBM
      • Jack Clark
      • Jeremy Howard
      • Melanie Mitchell
      • Andrew Ng
      • Andrej Karpathy
      • Sebastian Ruder
      • Rachel Thomas
      • IBM
  • AI Tools
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
  • AI Policy
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
  • Business AI
    • Advanced AI News Features
    • Finance AI
    • Healthcare AI
    • Education AI
    • Energy AI
    • Legal AI
LinkedIn Instagram YouTube Threads X (Twitter)
Advanced AI News
SiliconANGLE - Big Data

Unified data ecosystem: How the NFL boosts performance & engagement

By Advanced AI EditorSeptember 9, 2025No Comments4 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


The NFL is reshaping how professional football is played, managed and experienced through data. At the core of this shift is a unified data ecosystem — centralizing collection, storage and usage to accelerate decision-making, deliver sharper insights and fuel continuous innovation.

By adopting a unified data ecosystem, the league has modernized operations end to end. The approach is advancing on-field performance, strengthening player safety, streamlining management, personalizing fan engagement and driving commercial success, according to Joe Steinke (pictured), senior director of data management at NFL Enterprises LLC.

Joe Steinke, senior director of data management at the NFL Enterprises LLC., talks with theCUBE during Future of Data Platforms Summit 2025 about how a unified data ecosystem is transforming NFL operations.

NFL’s Joe Steinke (right) talks with theCUBE’s Rob Strechay about how a unified data platform is transforming football.

“We got direction and commitment to really dive all the way into building out this central data analytics function, and at the heart of that was really the data ecosystem, making sure that we could take it to the next level and modernize our approach to producing data products at scale and living up to the idea that we can cover all business domains throughout the organization,” Steinke said. “The idea that we could bring a central function in that could produce some standards and operational consistency throughout the league is really what drove our decision to step back and create this ecosystem.”

Steinke spoke with theCUBE’s Rob Strechay at the Future of Data Platforms Summit, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how a unified data ecosystem is transforming NFL operations. (* Disclosure below.)

The five pillars powering the NFL’s unified data ecosystem

The NFL’s unified data ecosystem rests on five pillars — data governance, data engineering, data solutions, data operations and end-to-end delivery. Data governance ensures compliance, quality and strategic alignment with all of them driving optimal results, according to Steinke.

“I work within the data and analytics department, and my job is to lead the data management team,” he said. “The way we approach that is we really break it down into five main pillars with our resourcing.”

The NFL’s unified data ecosystem framework begins with data governance, followed by the engineering and architecture team. A separate group focuses on data solutions, while operations provide 24/7 support, monitor SLAs and assess ecosystem opportunities. The final pillar emphasizes complete end-to-end delivery.

Collaboration has been key to the NFL’s unified data ecosystem, advancing on-field analytics and player safety while enhancing fan engagement and operational efficiency, according to Steinke. He noted that the team has focused on aligning with stakeholders’ most important needs as part of that process, he added.

“It’s a continual journey … putting more emphasis into building models that are fit for consumption … looking at different applications to use for metadata management and data dictionaries and serve that up in a meaningful and fit for purpose way,” Steinke said. “It was collaboration all around the entire end-to-end ecosystem.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the Future of Data Platforms Summit: 

(* Disclosure: TheCUBE is a paid media partner for the Future of Data Platforms Summit. Sponsors of theCUBE’s event coverage do not have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE

Support our mission to keep content open and free by engaging with theCUBE community. Join theCUBE’s Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities.

15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more
11.4k+ theCUBE alumni — Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network.

About SiliconANGLE Media

SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios — with flagship locations in Silicon Valley and the New York Stock Exchange — SiliconANGLE Media operates at the intersection of media, technology and AI.

Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Our new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleSmart ring maker Oura’s CEO addresses recent backlash, says future is a ‘cloud of wearables’
Next Article MIT Sloan Management Review Research Points to New R&D Framework in Light of Restrictive Immigration Policies
Advanced AI Editor
  • Website

Related Posts

Definite bags $10M in funding to replace clunky big-data warehouses, connectors and BI tools

September 9, 2025

Vast Data’s SyncEngine helps AI agents to tap unstructured data from every source

September 9, 2025

VMware Tanzu delivers speedy, AI-ready data access for AI agents

September 9, 2025

Comments are closed.

Latest Posts

Anne Imhof Reimagines Football Jerseys with Nike

Jason Wu, Robert Rauschenberg Collaboration for New York Fashion Week

Storied Collector and MoMA Trustee Dies at 92

Congress Obtains Drawing Trump Apparently Made for Jeffrey Epstein

Latest Posts

ASML makes $1.5 billion investment in Mistral AI — ASML becomes the largest shareholder for the French AI start-up

September 9, 2025

Inside Trump’s Private Dinner with Top AI Leaders

September 9, 2025

UniVerse-1: Unified Audio-Video Generation via Stitching of Experts – Takara TLDR

September 9, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Recent Posts

  • ASML makes $1.5 billion investment in Mistral AI — ASML becomes the largest shareholder for the French AI start-up
  • Inside Trump’s Private Dinner with Top AI Leaders
  • UniVerse-1: Unified Audio-Video Generation via Stitching of Experts – Takara TLDR
  • OpenAI CFO Says Cloud Giants Have Been ‘Learning on Our Dime’
  • MIT professor’s AI tools to predict breast and lung cancer risk get her recognized in TIME

Recent Comments

  1. RafaelKaf on Chinese Firms Have Placed $16B in Orders for Nvidia’s (NVDA) H20 AI Chips
  2. MichaelOrada on Chinese Firms Have Placed $16B in Orders for Nvidia’s (NVDA) H20 AI Chips
  3. Harryjes on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  4. Josephbew on Chinese Firms Have Placed $16B in Orders for Nvidia’s (NVDA) H20 AI Chips
  5. JohnnieEtect on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

LinkedIn Instagram YouTube Threads X (Twitter)
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.