Machine learning enables organizations to identify potential risks and quickly explore profitable opportunities. Vast amounts of data, increasing powerful processing power, and affordable data storage are fueling the growth of machine learning jobs. According to Market Research Future, the global machine learning market is expected to grow from $7.3 billion in 2020 to $30.6 billion in 2024, achieving a compound annual growth rate of 43%. If you are looking for the best machine learning companies, here is the list of the best companies.
1. Amazon AWS
Our list of top machine learning companies worth working for starts with Amazon. Amazon Web Services (AWS) is a subsidiary of Amazon that offers an on-demand cloud computing platform and APIs. Launched in 2006, it is now the world's largest Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and private cloud services provider. AWS SageMaker is a fully managed service that enables data scientists to rapidly build, train, and deploy machine learning models.
AWS is headquartered in Seattle, Washington and has approximately 25,000 employees across 32 offices across 19 countries.
Featured Projects
1. Amazon S3
Amazon Simple Storage Service (Amazon S3) is used to store and retrieve large amounts of data (up to 5 TB) from the cloud. It is designed for archiving and online backup of data and application programs. S3 gives users full control over the access of their data.
2. AWS Lambda
Amazon Lambda allows users to run code without servers, runs your code only when users need it, scales automatically, and users pay only for the compute time of their code.
Now let’s take a look at the next machine learning company to work for.
2. Databricks
Databricks was founded in 2013 by the original creators of Apache Spark. The company is rooted in open source and offers an integrated data and AI platform on a lakehouse architecture. Databricks is a relatively young company, but has grown rapidly in just a few years. It is currently ranked 5th on the Forbes Cloud 100 list. If you are interested in a pure data science and machine learning organization, Databricks is the place to be.
Databricks is headquartered in San Francisco, California, and has approximately 1,650 employees across 16 offices across 11 countries.
Featured Projects
1. Databricks Unified Analytics Platform
The Databricks Unified Analytics Platform helps you build reliable, performant, and scalable deep learning pipelines. It provides a single platform for data scientists to handle data preparation, exploration, model training, and predictions at scale, making it easy to build, train, and deploy deep learning applications.
2. AutoML on Databricks
AutoML on Databricks automates various steps in machine learning pipelines and data science workflows, providing data scientists with flexibility and control over their data. Data scientists can also track and visualize thousands of experiments using open source or managed MLflow.
Let's take a look at the following machine learning companies you can join:
3. IBM
IBM is one of the oldest and most respected companies in the technology industry and one of the pioneers of AI and machine learning. IBM is also known as “Big Blue” due to its profound impact on early technologies.
Headquartered in Armonk, New York, IBM has offices in 174 countries. IBM is one of the world's largest companies with more than 350,000 employees.
Featured Projects
1. IBM Watson Machine Learning
IBM Watson Machine Learning enables data scientists and developers to accelerate the adoption of AI and machine learning. With open and extensible model operations, Watson Machine Learning enables continuous learning and automatic retraining of models.
2. IBM SPSS Modeler
IBM SPSS Modeler is a data mining and text analytics software application used to build predictive models and perform other analytical tasks. One of its main features is to eliminate the unnecessary complexity of data transformations and facilitate the use of complex predictive models.
The next machine learning company is TIBCO.
4. Tibco
TIBCO was founded in 1997 and specializes in data integration, data management, and analytics. TIBCO Data Science is TIBCO's flagship machine learning product. TIBCO Data Science has four versions: TIBCO Data Science – Statistica, TIBCO Data Science – Team Studio, TIBCO Data Science for AWS, and TIBCO Data Science for Students and Academics.
Headquartered in Palo Alto, Calif., TIBCO has approximately 4,200 employees in 22 countries.
Featured Projects
1. TIBCO Data Science Team Studio
TIBCO Data Science Team Studio is an enterprise analytics platform that enables data scientists and data engineers to build machine learning workflows with minimal code and also enables data scientists to collaborate and share insights with other members of their organization.
2. TIBCO StreamBased
TIBCO Streambase is an event processing platform that enables organizations to rapidly build and deploy event-driven applications. There are multiple ways to integrate with machine learning to leverage models discovered during real-time processing.
5. Prolific
Prolifics is an IT service management company focused on digital consulting, engineering and managed services, providing an array of data analytics, cloud and quality assurance services to a range of industries including retail, healthcare, insurance, banking and the public sector.
Prolifics was founded in 1978 and was acquired by SemanticSpace Technologies in 2008. The company has over 1,200 employees with offices across North America, Asia and Europe.
Featured Projects
1. Data science in a box
Prolifics Data Science in a Box is a powerful solution for AI and machine learning analytics that provides a fully managed, turnkey product to create clean, structured, governed data from any source and apply AI/ML to perform advanced predictive analytics.
2. BA360 Accelerator
Prolifics' BA360 Accelerator is equipped with powerful machine learning capabilities to automate the entire software testing lifecycle. Tests are executed more consistently and accurately, adding more value and reducing costs. Time spent on manual test cases is reduced by 98%.
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Machine learning is key to helping organizations unlock the value of their corporate and customer data. As more companies enter the AI and ML space, more are investing in machine learning experts to gain an edge over the competition. With the demand for machine learning jobs on the rise, getting certified by a reputed organization is a sure way to accelerate your career in this field. Simplilearn offers a host of AI and Machine Learning courses to prepare you for a prosperous career.
