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25 results found
From Robots to Personalization: Three Tech Trends Redefining the QSR Experience
Learn how AI, robotics and data are shaping the future of fast food.
A Brief History of NLP
NLP has substantially transformed our daily life. We dive into the history of NLP models to understand its past, present, and future, and how NLP can help businesses create value using text data.
The Data Reckoning: Turning Your Information Assets Into Competitive Weapons
Looking to turn your data chaos into competitive advantage? This candid blog cuts through the hype of "data lakes" and analytics dashboards to reveal what actually works. Discover practical frameworks like the "Revenue Traceability Test" and "Monday Morning Test" that help executives transform information overload into strategic decision-making power.
Modernizing Network and Infrastructure Observability: SNMP to Streaming Telemetry
Network teams are saddled with aging monitoring solutions based on dated technology. A new approach known as streaming telemetry is gaining popularity, providing real time metrics using modern, secure protocols and the ability to leverage advanced analytics on a path toward autonomous operation. WWT has helped some of the largest enterprises realize this and would love to help make it a reality in your environment.
AI Recipes for Quick Service Restaurant Success
A brief guide on leveraging data and analytics in the QSR/Retail space to address opportunities and threats in a fast-evolving industry.
Digital Experience Monitoring Insights
Organizations are adopting Digital Experience Monitoring (DEM) solutions as part of their Digital Employee Experience (DEX) strategy. This post addresses some of the key DEM considerations when adopting a DEX strategy.
Unlocking the Future of Edge Computing with WWT's Edge Enablement Platform
Discover how WWT's Edge Enablement Platform (EEP) revolutionizes real-time data processing and analytics by bringing high-performance computing and AI-driven insights directly to the edge. Built on AWS services and leveraging NVIDIA Jetson, EEP empowers businesses across industries to enhance operational efficiency and drive innovation. Learn more about this scalable, secure platform.
Modernizing Financial Institutions Data in Private Cloud
Financial institutions face challenges in managing complex data environments in the digital landscape. Core banking modernization is crucial for digital transformation and delivering superior customer experiences. World Wide Technology proposes a strategic approach aligning with industry best practices to address these challenges and achieve operational excellence.
From Kiosks to AI: What RLC 2025 Means for the Future of Restaurant Tech
Explore key insights and strategies from Restaurant Leadership Conference 2025 that are shaping the future of restaurant technology and innovation.
Elevating Retail Analytics: Entry into Computer Vision for Success
Retailers should consider replacing traditional retail analytics solutions like RetailNext and ShopperTrak with computer vision systems for enhanced accuracy and precision in data collection, real-time analytics, and improved security measures. Computer vision offers comprehensive insights into customer behavior and provides scalability for businesses of various sizes. The integration of computer vision with emerging technologies further positions retailers to adapt to evolving consumer expectations and stay competitive in the dynamic retail landscape.
Artificial Intelligence, Machine Learning Help Argonne National Lab Expedite Fight Against COVID-19
Argonne National Laboratory (ANL) is leading an initiative in collaboration with the U.S. Department of Energy (DOE) to uncover treatments for COVID-19, using the nation's most powerful supercomputer along with an advanced artificial intelligence (AI) platform to run models and simulations.
IT Ops at The Core: A Brief History and Overview
The world of IT Operations is vast and wide, and increasingly popular. This article will give a background into how this "Ops" world came about, and provide a high-level understanding of DevOps, MLOps and AIOps in particular.