Here is the second half of our two-part series of companies changing the face of AI. AI is quickly scaling through dozens of industries as companies, non-profits, and governments are discovering the power of artificial intelligence. So let’s take a look at some of the companies that are laying down the groundwork for our AI-focused future, and how this new digital frontier will look in the near term.

Institute of Analytics

The Institute of Analytics is a non-profit organization that provides data science and analytics courses, workshops, certifications, research, and development. The courses and workshops cover a wide range of topics, from basic data science concepts to advanced machine learning techniques.

In addition, the Institute conducts research on data science and analytics and develops new tools and techniques for the field, which makes it a great resource for anyone who wants to learn about data science and analytics.

Cloudera

Cloudera is a cloud-based platform that provides businesses with the tools they need to manage and analyze data. They offer a variety of services, including data warehousing, data lakes, and machine learning. Cloudera’s data warehousing service allows businesses to store and analyze large amounts of data, regardless of its format or structure, in a centralized location. This can be helpful for businesses that need to track data from multiple sources, such as sales, marketing, and customer service.

MIT

MIT is a world-renowned university that has been at the forefront of research in artificial intelligence for decades. The university offers a variety of programs in AI, including undergraduate and graduate degrees, as well as research labs and centers. As you can imagine, MIT’s AI programs are highly competitive and attract some of the brightest minds in the world.

This means that the university’s research labs and centers are at the forefront of AI research and have produced some of the most important advances in the field. MIT’s AI programs are a major contributor to the university’s reputation as one of the world’s leading research universities.

Elementl / Dagster Labs

Elementl and Dagster Labs are both companies that provide platforms for building and managing data pipelines. However, there are some critical differences between the two companies. Elementl’s platform is designed for data engineers, while Dagster Labs’ platform is designed for data scientists. Elementl’s platform is also more focused on managing data pipelines, while Dagster Labs’ platform is more focused on building data pipelines.

Elementl’s platform is a cloud-based platform that provides a graphical interface for building and managing data pipelines. The platform also includes a number of features that make it easy to monitor and troubleshoot data pipelines. Dagster Labs’ platform is also a cloud-based platform, but it is more focused on building data pipelines than managing them. The platform includes several features that make it easy to develop and test data pipelines.

Both Elementl and Dagster Labs are relatively new companies, but they have both raised significant amounts of funding. Elementl has raised over $100 million in funding, while Dagster Labs has raised over $50 million in funding.

Meteor Learning

Meteor Learning is a company that provides a platform for building and managing machine learning models. The platform allows users to create, train, and deploy machine learning models without any coding or machine learning experience. Meteor Learning also provides a library of pre-trained models that can be used to solve common machine learning problems. The platform is used by businesses of all sizes to build and deploy machine learning models to improve their operations.

ArangoDB

ArangoDB is a company that provides a database platform for graph and document data. It is a NoSQL database that uses a flexible data model that can be used to store and manage both graphs and documents. ArangoDB is designed to be scalable, reliable, and easy to use. It is used by a variety of companies, including Netflix, Uber, and Spotify.

Ikigai Labs

Ikigai Labs is a company that provides a platform for building and managing natural language processing models. Their platform, called Ikigai, allows users to create and train NLP models without any coding experience. Ikigai also provides a variety of features to help users manage their models, such as model monitoring and performance tracking. Ikigai is a valuable tool for anyone who wants to build or use NLP models.

Here are some of the features of Ikigai:

  • Create and train NLP models without any coding experience
  • Monitor model performance and track changes
  • Share models with others
  • Deploy models to production
  • Integrate with other tools and services

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FeatureByte

FeatureByte is a company that provides a platform for building and managing feature engineering pipelines. Feature engineering is the process of extracting features from raw data that can be used to train machine learning models. The platform makes it easy to create and manage feature engineering pipelines, which can save time and improve the accuracy of machine learning models. Due to this, FeatureByte’s platform is used by companies in a variety of industries, including finance, healthcare, and retail.

Outerbounds

Founded in 2016, Outerbounds is a company that provides a platform for building and managing anomaly detection models. Their platform is designed to help businesses identify and respond to potential problems in their data. Outerbounds’ platform can be used to detect anomalies in a variety of data types, including time series data, transactional data, and sensor data. The platform can also be used to detect anomalies in a variety of industries, including finance, healthcare, and manufacturing. Outerbounds’ platform is valuable for businesses that want to improve their data quality and identify potential problems early on.

Snorkel ai

Snorkel AI is a company that provides a platform for building and managing active learning models. Active learning is a type of machine learning that involves iteratively querying a human for labels for data points that are most informative for the model. This can be a much more efficient way to train a model than traditional supervised learning, which requires all data points to be labeled before training begins. Snorkel AI’s platform makes it easy for users to create and manage active learning workflows, and it includes a number of features that help to improve the accuracy and efficiency of active learning models.

Snorkel AI’s platform has been used by several companies and organizations, including Google, Microsoft, and the US Department of Defense.

Comparative AI / DataGPT

Comparative AI is a company that provides a platform for building and managing comparative analysis models. Their platform allows users to compare different products, services, or companies. This can be helpful for businesses that want to make informed decisions about their products or services, or for consumers who want to compare different options before making a purchase. Comparative AI’s platform is powered by artificial intelligence, which allows it to provide users with accurate and up-to-date information. The platform also includes features that allow users to customize their comparisons and share them with others.

Valohai

Valohai is a company that provides a platform for building and managing machine learning workflows. It helps data scientists and machine learning engineers to build, train, and deploy machine learning models more efficiently. Valohai’s platform includes a variety of features, such as:

  • A drag-and-drop interface for building machine learning pipelines
  • A library of pre-trained models
  • A monitoring and logging system
  • A collaboration platform

Valohai is used by companies such as Spotify, Uber, and Lyft. It has been praised for its ease of use and its ability to help companies build and deploy machine learning models more quickly.

Jetbrains

Founded in 2000 in Prague, Czech Republic, JetBrains is a company that develops intelligent software development tools. The company’s products are used by millions of developers around the world. JetBrains’ most popular products include IntelliJ IDEA, PyCharm, and WebStorm. These are integrated development environments (IDEs) that provide a wide range of features for software development, including code editing, refactoring, debugging, and testing. JetBrains also offers a variety of other tools for software development, such as ReSharper, TeamCity, and YouTrack.

Conclusion

Again, some amazing companies right? With these companies, and countless others, the future of AI will be bright. Now if you’ve enjoyed learning about these amazing companies, then you don’t want to miss them at the ODSC West AI Expo. Learn from and mingle with those who are laying the foundations for the coming age of artificial intelligence.

So, what are you waiting for? Get your pass to the ODSC West AI Expo today!