Europe’s Digital Decade Requires Collaboration and Data
Collaborative efforts will help transform Europe's cities and regions into the next era of
Topic: Industry Insights
How various industries use real-time analytics to improve the business bottom line. We explore both physical, IoT uses (such as sensor data in manufacturing, transportation, and energy) as well as use of transactional and Web data, such as in the financial services, marketing, and customer-experience management industries.
Product Data Enrichment: 3 Tips for Improved Data Quality
Manual efforts are no longer enough to ensure data quality. That's why data quality enhancement technology is an imperative.
Data Fabric: Make Safety a Strategic Center by Unlocking the Value of Big Data
A data fabric can break down data silos to help improve safety analyses, enabling more refined signal detection, benefit-risk profiles, and risk management …
Go for the Low-Hanging Fruit: How Traditional Insurers Can Compete with InsurTechs
By automating claims processing, onboarding, and underwriting, traditional insurers can see big gains when it comes to competitiveness and customer retention …
Creating Better Patient Outcomes Through Edge Computing
An urgent call to action that optimizes patient experiences and how edge computing can
Copenhagen Ranks First in Digital Cities Index
Digital cities seeing the most remarkable success use technology to achieve clear, measurable goals. They also prioritize citizen and business engagement from …
Where Does IoT Exist in the World? Expect the Unexpected.
IoT ecosystems incorporate a diverse set of technologies from physical devices to cloud-based solutions and connectivity options. That is enabling IoT …
Manufacturing Ahead of the Curve via AI, 5G, and Edge
Deploying AI applications at the edge with 5G has the potential to generate new revenue sources in manufacturing, putting the industry at the forefront of …
5G is Making On and Offline Retail Fun Again
5G can bring technology and innovation into the equation helping retailers make data-driven decisions, see the supply chain end to end, and work with customers …
Keeping Models Relevant When Behavior Patterns Change
Customer profiling techniques must learn a customer’s changing preferences and maintain an up-to-date view to continue to make highly relevant decisions as …