Salvatore Salamone

With AutoAI, businesses can build and deploy a machine learning model with sophisticated training features and no coding.

In the news this week: a data analytics solution is certified to meet security and compliance requirements, a smart sensor company joins an open system architecture consortium, an IT solutions provider commits to digital twins, and more.

Continuous intelligence, which relies on real-time analysis of streaming events data, is being widely adopted across many industries, for many applications

Three finalists will be announced for the competition that provides a $3 million Grand Prize, $1 million 2nd place prize, and $500k 3rd place prize.

In the news this week: an AI toolkit that helps businesses prepare board members for AI, enhancements to an intelligence SQL platform, new SaaS offerings to support the digital workplace, and more.

Most use cases for AI in companies are developed by data scientists and then deployed and used essentially as a black box.

The complexity and ever-changing nature of fraud and financial crime patterns requires an ability to quickly and effectively spot and stop incidents.

In the news this week: AI and ML solutions to future-proof vehicles, an update to an open-source multi-model database, a cognitive advertising accelerator, and a major studio turns to AI to pick its next blockbuster.

Corporate AI offerings must be as robust and feature rich as the consumer AI services workers use at home. Otherwise, users will not embrace them.

Many businesses use container-based microservices architectures to develop AI. The container orchestrator Kubernetes can help with management and scaling.

Here is a quick overview of the major real-time analytics developments and innovations that got our readers’ attention over the last year.

Perhaps the underlying reason AI, CI, and other technologies will be disruptive factors in 2020 is digital transformation.