article thumbnail

Invoking IT to help revitalize Indigenous languages at risk of extinction

CIO

Data collection on tribal languages has been undertaken for decades, but in 2012, those working at the Myaamia Center and the National Breath of Life Archival Institute for Indigenous Languages realized that technology had advanced in a way that could better move the process along. “We They have different programs; they have different goals.

Culture 246
article thumbnail

Trio Of New, Cloud-Native IPOs Highlight Push To Modernize Digital Infrastructure In A Post-Covid World

Battery Ventures

information-technology spending is poised to hit more than $1.8 In the current recessionary environment, most enterprises are even more interested in wringing costs out of their IT budgets—and thus even more focused on shifting apps and services to the cloud, where they don’t have to host the services themselves.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

The Smart Way for Insurance Brands to Modernize Legacy Software

Praxent

When you’re falling behind the competition, facing growing security gaps, and dealing with dwindling support, you know it’s time to do something about your legacy software. When everyone hates the old system so much, it’s natural to dream of building a brand new one using all the latest technologies and best practices.

article thumbnail

How do you measure ROI for building custom software for the automation of your business process?

Sunflower Lab

Evaluation of custom software has to be done just like any other aspect of business viz. Once you’ve decided upon your budget, you need to decide whether you’ll be using a waterfall method or agile methodology for the development process. through management and reporting tools. Let’s have a look at some of them. Development cost.

article thumbnail

Exafunction aims to reduce AI dev costs by abstracting away hardware

TechCrunch

. “Improvements [in AI] are often underpinned by large increases in … computational complexity. This is very difficult because the technology is improving so rapidly, and the workload size quickly increases as deep learning proves value within a company,” Chen told TechCrunch in an email interview.

Hardware 243
article thumbnail

11 Most Effective Data Analytics Tools For 2020

Altexsoft

Continuous software improvements and upgrades. Oracle certainly represents elite data analytics software, but it does come with a price tag. Based on cutting-edge technologies such as a query optimizer and DAG scheduler, Apache Spark is able to speed up internal operations by up to 100 times. Data import capabilities.