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Artificial intelligence and machine learning

Uncover opportunities, turn ideas into workflows, and realize your vision, at scale

AI and ML basics

Intro to AI and ML

In a world accelerating at the speed of AI, understanding how these incredible capabilities get smarter is critical to driving business outcomes. Artificial intelligence (AI) is the theory of computer systems that can perform complex tasks. Machine learning (ML) is the process by which computers, including AI, learn new things; people use ML to feed data to the AI and train it over time.

How do AI and ML work together?

For a computer to think on its own and perform complex tasks to become AI – it must digest and internalize more and more information and logic over time. That process is machine learning. As the computer takes on more work, ML enables it to become ever more “intelligent.” This is how AI understands and reacts to nuances and distinct scenarios.

Building ethical AI

Computer logic is only as sound as the data that feeds it. If an AI learns biased inputs, it will output biased decisions. This can even challenge organizations with the best of intentions. It’s not always apparent when a strategy contains an implicit bias, but it’s essential for AI practitioners to identify it and adjust accordingly.

See why Forrester named Pega a leader in RTIM

Workflow automation, real-time decisioning and low-code accessibility make it an industry standout.

What can AI and ML do for enterprise processes?

Numerous industries already use AI for more efficiency, accuracy, and better customer experiences. It’s also powerful for enterprise business process management, where it can analyze and consolidate workflows, automate back-end tasks, and flag redundant processes. The result? Streamlining at every step.

Benefits of AI-powered automation

  • Reduce human error, especially in processes that involve analyzing numerical or textual data. AI won’t make oversights due to fatigue or error, like the way a human might.

  • Increase operational efficiency by automating more tasks and identifying and consolidating redundant processes.

  • Empower employees. By automating rote tasks and allowing more time to focus on meaningful, higher-order responsibilities, AI tools can take strain off workers and allow them to maximize their talent.

  • Personalize customer experiences, at scale. Leverage AI to provide more curated, individualized communication with each individual customer – even as overall volume increases.
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What can AI and ML do for enterprise processes?

How is AI different from ML?

What is artificial intelligence?

Artificial intelligence is the theory and development of computer systems trained to “think” and perform tasks that would normally require human intelligence.

What is machine learning?

Machine learning is a subfield of AI; it’s the process that inputs data to train an AI system. ML gives the computer the ability to learn and “think” without explicit programming.

How enterprise organizations use AI and ML

See how businesses leverage AI and ML to solve a variety of challenges, responsibly.

Reduce customer churn

Machine learning informs AI to make individualized offers and meet specific customer needs.

Accelerate business growth

As machine learning feeds more nuanced data to the AI, companies can identify new opportunities.

Automate complex decisions

With more data from machine learning, the AI provides the next best action at every point in a process.

See the Pega Platform drives AI-powered decisioning and growth at scale

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