Remove 2016 Remove Agile Remove Open Source Remove Scalability
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Digital Transformation and the Evolving Role of CIOs

CIO

Enterprises need agility not just with the app but also with the backend systems. Chet successfully took Apigee public before the company was acquired by Google in 2016. The customer wants to have an experience across the entire company — not just with what they’re seeing on their screens. Chet earned his B.S.

Games 340
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December Tech Trends Report and 2016 Enterprise Tech Projections

CTOvision

The Trends To Track in 2016. Here is more on what we expect each will bring us in 2016: Cloud Computing : The efficiencies of this new architecture are driving compute costs down. And the agility of this model is helping innovators innovate and developers develop. Expect 2 Billion smart phones in the world in 2016.

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Why every business needs CI/CD to succeed: a Q&A with Jim Rose and Cack Wilhelm

CircleCI

How do you make that scalable and repeatable over time? As a founder, you’re trying to get all of that in place and make it scalable, make it effective, and make it resilient to change. When we had conversations with public market investors in 2015 and 2016, they had absolutely no idea what we did.

Software 122
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Manual Testing vs Automation Testing: Which One Should You Prefer?

Openxcell

trillions in assets in 2016. Scalability in manual testing is not much as it is challenging to manually scale large-scale projects or frequent software releases. Scalability: Automated tests can be easily scaled to handle large projects and frequent software releases. Software failures in the US cost the economy USD 1.1

Testing 52
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MyRepublic: How Telcotechs are disrupting the Telco Industry

Hu's Place - HitachiVantara

On one of my trips to Singapore in June 2016, I was invited to meet with a new startup in the telco space. When I met with MyRepublic in 2016 they were providing ultra-fast internet service to over 30,000 homes and businesses in Singapore. Yeo is also a staunch supporter of open source. A company called MyRepublic.

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AI Chihuahua! Part I: Why Machine Learning is Dogged by Failure and Delays

d2iq

This means integrating with lots of data sources and writing custom transformations to shape the data in the format required for each use case. Machine learning engineers are typically responsible for ML models in production environments, dealing with web services, latency, scalability, and handling most of the automation around ML.

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Reviewing Top Software Development Tools For 2021 – Better & The Best

Xicom

The report also shed light on agile methodologies the software team follows, remote works and hiring practices. Maximum agility and productivity through continuous delivery/integrations. In A Nutshell, the trend for Microsoft Azure seems to be an upward drift, however losing some momentum in 2015-2016. Wait, that’s not enough!