Off-The-Shelf Study Training Weak Development Team 
TechCrunch
SEPTEMBER 7, 2021
Industries of all types are embracing off-the-shelf AI solutions. In the words of Sepp Hochreiter (inventor of LSTM , one of the world’s most famous and successful AI algorithms), “the ideal combination for the best time to market and lowest risk for your AI projects is to slowly build a team and use external proven experts as well.
TechCrunch
NOVEMBER 11, 2021
Lorna Mitchell is head of Developer Relations at Aiven , a software company that combines the best open source technologies with cloud infrastructure. I have worked remotely in technology for over a decade, and I’ll share my tips for how fast-paced technical startups can take good care of their software development talent. Contributor.
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TechCrunch
DECEMBER 20, 2021
But while letter writing is a useful service, the team’s efforts have been focused on developing and testing the suite of digital products they hope to offer across the country starting next year. “We maybe had 8,000 users when we spoke to you, and a few months later we launched our mobile app.
A List Apart
SEPTEMBER 13, 2018
Even in developed nations, people on mobile devices see spotty coverage, flaky wifi connections, and coverage interruptions (like train tunnels or country roads). A Google study found that 53% of mobile users abandon a page if it takes longer than three seconds to load —and none of us are willing to lose half our traffic, right?
Altexsoft
MAY 27, 2022
In collaboration, they trained random forests — ensemble algorithms consisting of many decision trees — to generate individual forecasts. Healthcare facilities and insurance companies would give a lot to know the answer for each new admission. Today, we can employ AI technologies to predict the date of discharge. days in 1960 to just 5.4
Altexsoft
JUNE 11, 2021
It seems pretty straightforward: well, you just heat up milk or boil water, dump those flakes in the bowl, and add fruits, berries, honey, or other yummies you like. And now, try to think about each step: is there any way you can make it faster? Say, how many extra moves are you making because the ingredients are located in different areas?
CollabNet VersionOne
APRIL 26, 2018
One of the main reasons teams set out on a DevOps journey is because they want their organizations to continuously improve. An analogy I like to use, is likening starting a DevOps transformation to operating a train for the first time without ever having driven a train before through a switch yard.
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