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.
CDOS is not just a technological shift but a new way of thinking about vehicle engineering. As EVs become more complex, software-driven, and reliant on …
Meeting user expectations with personalization, embedded finance, security, and sustainability creates a competitive advantage that attracts NeoBank customers …
Factory managers need reliable data to drive real-time analytics and AI-driven insights of their manufacturing
The right-to-repair movement presents an opportunity for technology manufacturers to redefine their relationship with consumers as a preferred service
AI bookkeeping gives companies access to real-time insights that save them from financial fiascos. Additionally, it empowers companies to proactively track …
As AI continues to transform capital markets, the importance of multimodal data integration will only increase. The competitive advantage will increasingly …
The modernization of existing auto manufacturing operations is no longer a luxury; it is a necessity for staying competitive in today’s fast-paced industrial …
Survey: Most U.S. retailers plan to expand AI capabilities to enhance efficiency, improve job satisfaction, and elevate the shopping
By integrating Autonomous Mobile Robots (AMRs) and Automated Guided Vehicles (AGVs) into their operations, automakers can reduce costs, increase agility, and …
As automakers face growing competition, embracing the smart factory revolution in 2025 is no longer just a strategic advantage—it’s a