Top 10: Machine Learning Companies

To kick-start 2024, AI Magazine considers some of the leading Machine Learning (ML) Companies that were committed to enhancing the world of AI last year

The year of 2024 is shaping up to be a huge year for AI technology, as more businesses and world leaders are considering its global impact moving forward.

Whilst AI holds great potential to be harnessed for good, benefitting plenty of key industries, there are also risks that must continue to be addressed if the technology is to reach its full positive potential.

With this in mind, as we move into 2024, AI Magazine considers some of the leading machine learning companies to-date and what they contributed to the sector in 2023.

10. DataRobot

DataRobot is the leader in Value-Driven AI: a unique and collaborative approach to AI. The company strives to make ML more accessible to everyone in every organisation by incorporating the knowledge and best practices of the world’s best data scientists into a fully automated modelling platform, which is described as automated machine learning.

DataRobot also offers classes through DataRobot University for anyone looking to bring automated machine learning to their organisation, take their machine learning prowess to the next level, or to learn how organisations can benefit from the technology.

9. SAS

Founded in 1976, SAS develops and markets a suite of analytics software, which helps access, manage, analyse and report on data to aid in decision-making. The company uses machine learning, computer vision, natural language processing (NLP) and forecasting to help users unlock new possibilities.

SAS Machine Learning on SAS Cloud supports the entire ML process, combining data preparation, feature engineering, modern statistical and ML techniques in a single, scalable in-memory processing environment to develop, test and deploy models.

8. Databricks

With origins in academia and the open source community, Databricks was founded in 2013 by the original creators of Apache Spark, Delta Lake and MLflow. As the world’s first and only lakehouse platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.

Databricks Machine Learning empowers ML teams to prepare and process data, streamlines cross-team collaboration and standardises the full ML lifecycle from experimentation to production. Its customers include Comcast, Adobe and T-Mobile.

7. Dataiku

Dataiku supports a wide range of machine learning and analytic tasks, such as prediction, clustering, time series and image classification.

Through its DSS platform, Dataiku augments the model development process with a guided methodology, built-in guardrails, and white-box explainability so data scientists and analysts alike can build and compare multiple production-ready models.

Dataiku AutoML offers algorithms from leading frameworks for prediction, clustering, time series forecasting, and computer vision tasks to help people across the business generate the best results, all in an easy-to-use interface.

6. IBM

IBM was founded in 1911, making it one of the oldest and most influential players in the AI and computing industry. With a focus on enterprise solutions, cloud computing, AI and consulting, IBM has consistently pushed the boundaries of technology. 

Now a leader in global hybrid cloud and AI, the company has announced plenty of new developments in the world of AI. This includes its continued partnership with NASA to extend its geospatial AI model, as well as forming an AI Alliance with Meta to continue advocating for the responsible use of AI.

5. Google DeepMind

Google DeepMind is a team of scientists, engineers, ML experts and more, working together to advance the state of the art in AI. 

DeepMind’s long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence, which could help society find answers to some of the world’s most pressing challenges. 

At the end of 2023, the company collaborated with Google to release Gemini AI, which has been branded a ‘new breed’ of AI. It has been speculated that this may be one of the most capable AI systems to-date.

4. Open AI

OpenAI is an AI research and deployment company dedicated to ensuring artificial general intelligence benefits all of humanity. 

In June 2020, OpenAI announced GPT-3, a language model trained on trillions of words. Its release of ChatGPT, and of GPT-4 this year, have significantly contributed to increased interest in generative AI. 

2023 was a year of mass change and innovation for the company that invented ChatGPT. In addition to GPT-powered chatbots, the company is responsible for the DALLE model: an AI system that can create realistic images and art from a description in natural language.

3. Microsoft

Headquartered in Redmond, Washington and led by CEO Satya Nadella, Microsoft was first founded in 1975 by Bill Gates and Paul Allen.

Fast-forward to the present day, Microsoft’s mission is to empower every person and every organisation to achieve more. The company believes technology - including AI - can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. 

The company has invested very heavily in AI, most famously announcing a multi-billion dollar investment into OpenAI at the start of 2023. The company also launched its own AI service, Microsoft Copilot.

2. Google Cloud

Google Cloud offers a vast array of products and services, including AI, online advertising, search engine technology, cloud computing, computer software, quantum computing, ecommerce and consumer electronics. In particular, its Vertex AI platform allows users to build, deploy, and scale ML models faster, with fully managed ML tools for any use case. 

Vertex AI brings together all of Google Cloud’s services for building ML under one, unified UI and API. In Vertex AI, users can easily train and compare models using AutoML or custom code training, with all models stored in one central model repository. These models can be deployed to the same endpoints on Vertex AI.

1. Amazon Web Services (AWS)

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud, with more than 200 fully featured services available from data centres globally. AWS has expanded in recent years to be the most comprehensive and widely-used cloud computing platform. 

The organisation has significantly more services and more features than any other cloud provider – from infrastructure technologies like compute, storage, and databases to emerging technologies, such as machine learning and AI, data lakes and analytics, and the Internet of Things (IoT).

Today, millions of customers, including the fastest-growing startups, largest enterprises, and leading government agencies, are using AWS to lower costs, become more agile and innovate faster.

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For more insights into the world of AI - check out the latest edition of AI Magazine and be sure to follow us on LinkedIn & Twitter.

Other magazines that may be of interest - Technology Magazine | Cyber Magazine.

Please also check out our upcoming event - Net Zero LIVE on 6 and 7 March 2024.

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