What is machine learning
Machine learning is a quickly evolving and broad field with many types of applications, use cases, and potential solutions.
Collecting information of interest
Tightly coupled with machine learning is artificial intelligence, and data science
The development of collective technologies to simulate human thinking in order to model problems, solutions, and engineer intelligence into systems and software that can operate and improve autonomously. The growth of machine learning, artificial intelligence, and data science fields are in large part because the modern business world is swimming in data. The internet and other modern technologies have made the production and consumption of data seamless and mindless, that the production and collection of interesting and relevant data for businesses is no longer the problem, understanding it and leveraging it is.
A transforming field
Rapidly evolving solutions
Over 80% of the world’s digitally stored data has been created in the last decade. In fact, there’s so much data generated today that most companies are unable to leverage and unlock its potential value for their business. This is because most data science projects and machine learning implementations are expensive investments almost exclusively made by either large corporations or tech companies in cutting edge fields. But this is changing as machine learning infrastructure, tools, and technologies become more available and usable by small-to-medium businesses for specific use cases.
Our Machine Learning development services
How we help businesses leverage machine learning development
Problem and Process
Asymm focuses on understanding problems and assessing potential solutions that create returns and improvements on existing processes. We help clients analyze potential solutions and develop products to solve end to end problems with appropriate technologies. Here are some of the business processes and objectives we solve:
How Businesses Use Machine Learning
The applications of machine learning projects and concepts are far and wide
Machine learning adaptability
Return on invesment
The top companies in the world today, such as Tesla are using machine learning and artificial intelligence to power their autonomous driving capabilities, while other less cutting edge companies are using machine learning to identify and leverage business patterns to drive sales and revenue. Overwhelmingly, businesses today are finding and investing in machine learning projects that they believe will generate a return through improved efficiencies, autonomy, and other cost-saving and production improving methods. Not all machine learning and data science projects require large teams of developers and tens of millions of dollars to generate results and return.
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Schedule a call to learn more about how we help companies execute solutions and gain succesfull outcomes with machine learning.
Types of machine learning services
Machine Learning solutions and applications
Custom technology for your business needs
With machine learning and artificial intelligence being broad fields and disciplines, with endless subfields, niches, and technologies, one of the hard things about implementing a solution is having a team that understands your use case and requirements well enough to design a solution with the fitting technologies and methodologies.
Subfields and ways that businesses leverage machine learning and AI
How Machine Learning Works
Automated learning and decision making is an intricate process that always starts understanding a problem holistically.
Analyzing successful outcomes
Understanding your needs
A number of processes and phases are completed to create and refine the development of a system that uses machine learning and AI technologies. We usually start with understanding the goals of a system and core issues that the current solution presents, whether it is accuracy, speed, consistency, etc. Subsequent phases include understanding the datasets we’re working with, and the complexity of the problem we’re trying to solve from both an operational and theoretical perspective.
Generally, machine learning development solutions require one or many large datasets that are used to derive insights, predictions, and other outcomes from a system of algorithms and models. A large part of our work is analyzing datasets and possible outcomes for projects - evaluating the probability of building a solution that will provide what the client is looking for. We have several methods for analyzing and evaluating the suitability of datasets and corresponding solutions.
Asymm’s industry experience
Why Use Asymm for Machine Learning development services
High-end technology used by experts
Implementing machine learning requires the assistance of both machine learning professionals and software professionals who understand the lifecycle development of creating a solution that can work in a production environment. At Asymm, we have experience developing solutions that leverage machine learning and artificial intelligence technologies. To learn more about our capabilities and machine learning experience, schedule a call with us.