Artificial Intelligence in practice

The world has known the term artificial intelligence for decades. Until recently, discussion of this technology was prospective; experts merely developed theories about what AI might be able to do in the future. Today, integrating AI into your workflow isn’t hypothetical, it’s MANDATORY. No matter what market you operate in, AI is critical to keeping your business competitive. When considering how to work AI into your existing business practices and what solution to use, you must determine whether your goal is to develop, deploy, or consume AI technology.

Developing AI

When most people think about artificial intelligence, they likely imagine a coder hunched over their workstation developing AI models. In the past, creating a new AI model required data scientists to custom-build systems from a frustrating parade of moving parts, but Z by HP has made it easy with tools like Data Science Stack Manager and AI Studio. With those tools involved, users can build new AI models on relatively low-powered machines, saving heavy-duty units for the compute-intensive process of model training.

Deploying AI

Many modern AI systems are capable of leveraging machine-to-machine connections to automate data ingestion and initiate responsive activity. In some cases, the data ingestion comes from cameras or recording devices connected to the model. In other cases, the model might scan and process open-source data. This process, where both input and output of the model are automated, is known as AI deployment.

Some examples of AI deployment are:

• Self-driving technology
• Medical imaging and augmented diagnosis
• Production facility monitoring and quality control
• Dynamic pricing
• Personalized product recommendations

Consuming AI

Consuming AI refers to the practice of incorporating existing artificial intelligence into various aspects of daily human life, such as work, entertainment, and personal relationships. It involves using AI-powered tools and technologies to automate tasks, make decisions, and enhance experiences, with the goal of improving efficiency, productivity, and overall quality of life.

Some examples of AI consumption are:

• Defect detection and preventative maintenance
• Algorithmic trading
• Physical environment simulation
• Chatbots
• Large language models
• Real-time data analysis

To find out more about how your business could benefit from a range of AI tools, such as machine learning as a service, click here.  And for additional information click here.