Michael Vizard

Migration of ERP apps to the cloud may accelerate as organizations try to optimize processes while simultaneously conserving liquidity.

As organizations evaluate how they fared during the pandemic, it will become obvious which applications proved too inflexible to adapt to what is rapidly become a “new normal” for business.

The framework can help organizations accelerate the move to DataOps by providing reference architectures that simplify adoption.

The COVID-19 pandemic has reinforced the need to have access to data in real-time.

Today, it is critical to increase the installed base of developers that can build and deploy applications infused with AI models.

Organizations trying to assess the impact of the pandemic on their business can use TIBCO Spotfire to analyze the Johns Hopkins data alongside other public data sources the company is starting to aggregate.

A genomic sequencing process that once took 30 hours or more can now be completed in a few minutes.

Honeywell also revealed it is working with JPMorgan Chase to develop algorithms that can be applied to both quantum computers and existing systems.

IBM researchers first showcased this capability last year as part of Project Debater and is now moving to commercialize that capability within offerings such as Watson Discovery later this year.

Organizations that fail to incorporate computer vision into processes will simply not be able to compete with rivals capable of processing massive amounts of data in a way that provides their customers with real-time insights that previously would be unattainable.

The new systems will triple the capacity and double the storage and interconnect speed NOAA can access, allowing the agency to create both higher-resolution models as well as build more comprehensive global models.

Adoption of low-code tools has risen in recent years because they let developers and business executives collaborate to build new innovative applications.