Development Team Review Quality Assurance Technical Review 
CIO
APRIL 2, 2025
And also by improvements to its quality control processes as CrowdStrike added a check for that particular problem after the outage, as well as other tests, deployment layers, and checks. Its worth doing that extra step of diligence because it can save you problems down the road, she says. Trust, but verify.
AWS Machine Learning - AI
MARCH 18, 2025
This is where the integration of cutting-edge technologies, such as audio-to-text translation and large language models (LLMs), holds the potential to revolutionize the way patients receive, process, and act on vital medical information. These audio recordings are then converted into text using ASR and audio-to-text translation technologies.
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TechCrunch
FEBRUARY 28, 2023
Undergirding their strong conviction is a bet that India and Indonesia and other markets in South Asia will double and triple their GDPs in the next 10 to 15 years, and the public markets and tech companies stand to take a significantly broader role in that surge. The combined market cap of top-five tech companies in the U.S.
Zensar
AUGUST 22, 2019
million due to bad data! *. However, attaining high quality data is an ambitious task. It is here that Data Quality Assurance (Data QA), which performs these very behind-the-scene validations, comes to our rescue. While it is necessary to have well-seasoned ETL (Extract Transform Load) developers, it isn’t enough.
Trigent
JUNE 27, 2022
Why Quality Assurance (QA) outsourcing is good for business. With outsourced QA being expedited through teams distributed across geographies and locations, many aspects that were hitherto guaranteed through co-located teams have now come under a lot of pressure. The challenge is to find the right skill mix.
Gorilla Logic
MAY 19, 2021
To grow faster, CEOs must prioritize technology and digital transformation. Companies that lead in technology innovation achieve 2-3x more revenue growth as compared to their competitors. Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more.
Modus Create
JUNE 1, 2020
But one thing technology leaders need to ask themselves is, “what are the threats we face?” The news is filled with tales of hackers breaking into financial institutions, DDoS attacks on credit card companies, and data breaches due to poor software configuration. Phase 1: Due Diligence and Discovery.
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