Real-time Analytics News for Week Ending March 6
In this week's real-time analytics news: Moderna and IBM team to use AI, blockchain, and cloud to get real-time insights for smart vaccine management, and more.
In this week's real-time analytics news: Moderna and IBM team to use AI, blockchain, and cloud to get real-time insights for smart vaccine management, and more.
Answer these questions to ensure that you can unlock the promised value of no- and low-code platforms.
Every transaction, order, customer interaction, and internal operation depends on decisions. At a time when businesses are under pressure to improve efficiencies, cut costs, and be more responsive, automating decisions becomes essential. While many businesses have picked off the low-hanging fruit when automating, most need to add more. Specifically, businesses want to automate complex decisions, involving multiple steps, multiple data sources and many rules.
Today’s banking customers expect real-time interactions and are used to getting an instant response when using applications or accessing services.
Toga Networks' Meital Bar-Kana explains why Python is gaining traction among software engineers.
In this week's real-time analytics news: Financial services and security powerhouses boost offerings with AI-enhanced services, and more.
In today's dynamic marketplace, new applications that use data from multiple sources and deliver rapid insights constantly need to be created on very short notice. The challenge is how to have the flexibility to rapidly develop and deploy new applications to meet fast-changing business requirements. The only way to ensure success is to use a dynamic architecture that delivers access to data, processing power, and analytics (including artificial intelligence and machine learning models) on demand.
Cloud migration is key to providing new services and capabilities that are now in demand.
In this webinar, sponsored by Cockroach Labs, Bose explains how they are using Kubernetes and CockroachDB to build Databases on Demand.
Open Data Hub is an open-source community project that implements end-to-end workflows for AI and ML with containers on Kubernetes on OpenShift.