Artificial Intelligence (AI) Training
For businesses, new AI applications are appearing all the time. Organizations deploying AI strategies are excelling over their competition. Some of the ways businesses can use AI, include:
- Improve analysis of video and audio in real time
- Enhance customer intimacy and thereby increase consumer demand
- Multiply productivity gains by automating processes
- Increase competitive advantage and improve efficiency
- Advance automated interactions with customers, partners and workers
- Power smarter machinery, vehicles and structures
Every industry now has AI applications specifically tailored for their business needs. For instance, in retail, machine learning algorithms are used by online retailers to offer personalized promotions or user experience based on customer’s previous purchases or activities. Also, monitoring price changes over a certain period of time enables e-commerce companies to track patterns in these fluctuations and set prices according to demand.
For financial services, machine learning helps banks, insurers and investors make smarter decisions in a number of different areas, including predicting risk, reacting to market trends and managing client satisfaction.
Healthcare organizations can capitalize on the intersection between Internet of Things (IoT) and data analytics to enable smarter healthcare solutions. For example, robot assisted surgeries are becoming more common. Personalized health monitoring using smartwatches and other wearable devices has made health telemetry a reality.
Machine learning is a subset of artificial intelligence (AI) and describes machines that are taught to learn and make decisions by examining large amounts of input data. It makes calculated suggestions and/or predictions based on analyzing this information and performs tasks that are considered to require human intelligence. This includes activities like speech recognition, translation, visual perception and more.
The field of machine learning also encompasses the area of deep learning. The key difference between machine learning and artificial intelligence is the term learning.
To provide business value, the machine is trained to learn patterns from data and then can proceed autonomously on new and changing data. This creates a dynamic feedback loop, which allows it to efficiently generate more models to gain further insights, even more accurately, without requiring additional resources or human interaction.
With continuous advancement in this field, machines are becoming increasingly self-healing, self-organizing and self-architecting, seamlessly producing greater value for businesses.
Organizations that have got off to a slow start with AI and ML, can benefit from courses taught by Tonex. We currently offer three contemporary AI courses to help guide you into the AI era.
For more information, questions, comments, contact us.
Artificial Intelligence (AI) and Machine Learning (ML)
|Artificial Intelligence Training Bootcamp | AI Training||3 days|
|Machine Learning for Control Training||3 days|
|Machine Learning Training Bootcamp||3 days|