Latest AI and machine learning Technology Companies
Readers may be surprised to see how the AI/ML technology is getting used in different ways as we write. There are few sentences in this article which has written by AI and it would really difficult to differentiate the one which is created by humans or by AI. So, let's dive into the different companies in AI/ML technology.
Coiled - The Easiest Way To Scale Data Workloads in Python
- Coiled is enterprise-grade Dask made easy. Coiled manages Dask clusters in your AWS or GCP account, making it the easiest and most secure way to run Dask in production. Coiled manages cloud infrastructure for you, deploying on your AWS or Google Cloud account in minutes. Giving you a rock-solid deployment solution with zero effort.
MindsDB - Join our mission to democratize Machine Learning
- MindsDB helps anyone use the power of machine learning to ask predictive questions of their data and receive accurate answers from it. MindsDB was founded in 2017 by Adam Carrigan (COO) and Jorge Torres (CEO) and is backed with over $7.6M in seed funding from Walden Catalyst Ventures, YCombinator, OpenOcean, the venture fund launched by the creators of MySQL and MariaDB, SpeedInvest, and the University of California Berkeley SkyDeck fund. MindsDB is also a graduate of YCombinator's recent Winter 2020 batch and was recently recognized as one of America's most promising AI companies by Forbes.
Zone7
- Zone7 helps elite athletes and practitioners harness data science to safely and effectively reach their full potential while maintaining health and fitness. Zone7 analyzes comprehensive player data, including in-game and training positioning information, as well as biometric, strength, sleep, and stress levels. The platform, in turn, identifies undetected risk patterns, creates real-time injury threat alerts, and offers practical intervention methods to help guide and inform coaches’ decision-making.
BLOOM
- Bloom is a blockchain solution for secure identity and credit scoring. Bloom gives consumers ownership over their identity and financial data. By decentralizing the way that information is shared between untrusted parties, the system reduces the risk of identity theft and minimizes costs associated with customer onboarding, compliance, and fraud prevention. Bloom's mission is to provide superior data and identity authorization and authentication to consumers and businesses worldwide.
Landing AI
- Landing AI™ is building the data-centric MLOps platform for computer vision. Focusing on manufacturing visual inspection, LandingLens enables ML teams to build, deploy, and scale computer vision applications 10x faster than before, and rapidly create significant ROI. Founded by Dr. Andrew Ng, co-founder of Coursera, and founding lead of Google Brain, the team at Landing AI is uniquely positioned to help companies across the globe successfully move their AI projects from proof of concept to full-scale production.
- Landing AI Principles (LAPs) are a codification of our way of work. Similar to our DNA, these principles guide us in our work and provide us with a framework for our decision-making – be it customer engagement, product development, hiring and talent management, business operations, or sales & support. These principles are intended to align our thought process as leaders of the organization and influence our way of working with people and teams across locations and with businesses.
Databricks - Databricks is the Data + AI company
- 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.
- Simple. Open. Multicloud. The Databricks Lakehouse Platform combines the best elements of data lakes and data warehouses to deliver the reliability, strong governance, and performance of data warehouses with the openness, flexibility, and machine learning support of data lakes. This unified approach simplifies your modern data stack by eliminating the data silos that traditionally separate and complicate data engineering, analytics, BI, data science, and machine learning. It’s built on open source and open standards to maximize flexibility. And, its common approach to data management, security, and governance help you operate more efficiently and innovate faster.
Hugging Face - The AI community building the future.
- Build, train and deploy state-of-the-art models powered by the reference open source in machine learning. Hugging Face alters this by making it easy to identify and contribute on models inside an organization, much like GitHub and GitLab do for code. The company gives access to tens of thousands of pre-trained models via its Inference API. This is significant since most businesses lack the skills to create models on their own.
If you are planning to pursue B.Sc then you can select the field in Artificial Intelligence and Machine Learning. You can see by yourself the companies which are skyrocketing in innovation in AI & ML Domain. So the future is really bright if you are planning to take a Bachelor of Science in AI (Artificial Intelligence) Or ML (Machine Learning)