Enable customers to harmonise and democratise the digital and data landscape to drive the business outcomes
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The present associations produce a gigantic measure of information that should be improved and changed into helpful business information. We provide best quality services in the data engineering.
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We help companies of all sizes to drive value from Machine Learning. Our services offering is designed to accommodate different levels of Machine Learning adoption in the company.
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Cloud solutions, also known as cloud computing or cloud services, deliver IT resources on demand over the Internet. Cloud service providers such Amazon Web Services, Microsoft Azure and Google Cloud Platform
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Artificial intelligence (AI) is a set of technologies that enable computers to perform a variety of advanced functions, including the ability to see, analyze data, make recommendations, and more.
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A data pipeline is a collection of steps necessary to transform data from one system into something useful in another. The steps may include data ingesting, transformation, processing, publication, and movement.
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Data visualization is the representation of data through use of common graphics, such as charts, plots, infographics, and even animations. These visual displays of information communicate complex data relationships and data-driven insights.
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Application modernization is the practice of updating older software for newer computing approaches, including newer languages, frameworks and infrastructure platforms. This practice is also sometimes called legacy modernization or legacy application modernization.
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QA Testing Means More than Fixing Software Defects Quality assurance testing is about more than fixing problems. It's also about establishing quality standards and implementing checks and balances to ensure the end-product meets said standards.
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DevOps is the combination of cultural philosophies, practices, and tools that increases an organization's ability to deliver applications and services at high velocity: evolving and improving products at a faster pace than organizations using traditional software development and infrastructure management processes.
We are a specialised Australian consulting company with a goal to empower our customers to build a culture of data driven organisation and enable them to achieve their business objectives in this uncertain but exiting time. We strive to be a trusted partner delivering high-quality services, producing value, and providing unparalleled customer experience. We leverage the latest technologies and industry best practices, to enable our customers to optimise its operations, improve its customer engagement, and enable and drive growth. Our commitment to continuously improve, innovate, maintain high integrity, and excel in what we do.
Our team of experienced professionals is dedicated to understanding our clients' unique needs and providing tailored solutions that meet their specific requirements.
Transform your business and help in using the data, analytics and digital to improve your business outcomes
We used the services of The Neon Labs to automate our data pipeline and the results have been nothing short of spectacular. Their team was able to quickly understand our specific needs and design a custom solution that has greatly increased the efficiency of our data processing. The automation has also freed up valuable time for our team to focus on other important tasks. We highly recommend The Neon Labs for any data pipeline automation needs.
CDO
We recently worked with the team at The Neon Labs to prototype an AI-powered product for our business. Throughout the process, they were extremely professional and knowledgeable about the latest technologies in the field. The prototype they delivered exceeded our expectations and helped us secure funding for the project. We highly recommend The Neon Labs for any AI product prototyping needs.
Data Scientist
We engaged The Neon Labs to help us with our data engineering needs and were extremely impressed with the level of expertise and professionalism they brought to the project.
CTO