Development of Machine Learning: Top Companies Using Artificial Intelligence
The challenge of streamlining data to make systems more compatible with new applications and user-friendly spurs software designers to make innovations. Intelligent automation is the face of the future but there is plenty of middleware and integration to do to get there. You can get many software companies to develop applications and mobile software. The real work takes place at the office of the machine learning companies.
Developing Artificial Intelligence
The challenges of artificial intelligence development are not limited to data-driven technologies for making predictions. Architecture assessment and development of business intelligence in the core and side streams such as upstream and downstream distribution network development and assessment of predictors are fast becoming a priority.
On the other hand, many of the top machine learning companies develop complete applications ready for production right from raw data. They use tools and steps involving big data and aggregating them all into one platform. One such company is Dataikuthat uses a virtual data abstraction layer so you don’t need extra data warehouses. It can run directly on Hadoop or Spark or even do parallel streaming on your machine’s server.
Leading Companies Using Machine learning
Artificial Intelligence and Machine Learning walk hand in hand. Most of the applications need Big Data technology to work. The top machine learning companies include the following:
- IBM Watson
- Ant Works
In terms of sheer applicability, Amazon uses machine learning in the process of providing consumer services. You find it in specific applications like Alexa Smart Home Device, Amazon Music, and Alexa Engine among many others. They offer services for machine learning through AWS. And close on the heels of Amazon, we see Apple.
Apple has Siri working magic through the iPhone that rivals and even betters Alexa. It acquired many artificial intelligence start-ups including Pop Up Archive, Lattice.io, and SensoMotoric among many others. It can help cut down spam because it can sense if someone not in your contact list has emailed you. Siri can read more than 30,000 Chinese characters and do facial recognition.
Intel is the largest chipmaker in the world. It is presently working on chips to do data processing for machine learning applications and artificial intelligence. It acquired Nirvana Systems that makes chips capable of data transfer at the rate of 2.4 terabytes per second with low latency. This speed is more than five times faster than the rate of transfer for normal chips. It will help the machine learning developer a great deal. Amazon, Nvidia, and Google are also developing fast chips to compete with Intel.
The usefulness of Machine Learning
The two areas where machine learning companies score are in predicting customer behavior and in developing social media networks. Qubit is a typical example that has developed Aura, an AI-backed shopping app for personal use. It gives product images to the users to help enrich their shopping experience.
Changes in the way we shop, socialize, and interact with each other have changed since machine learning has come on the scene. It has improved the quality of life and enhanced the accessibility of all objects.