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GLOSSARY / Artificial Intelligence

Artificial Intelligence

What is artificial intelligence (AI)?

Artificial intelligence (AI) is a rapidly growing field of computer science featuring machines capable of performing tasks that ordinarily require human intelligence. There are practical applications for AI in virtually every part of human society. In business, AI can help automate processes, identify patterns in data, and provide insights and recommendations to employees in the standard line of their work.

For example, AI-driven business analytics is becoming increasingly popular due to its ability to provide real-time decision support. This, in turn, enables even nontechnical employees to make better, faster decisions and drive competitive value for their organizations.

How does AI work?

No matter its use case, AI analyzes large volumes of data to recognize patterns, discover correlations, and make some decisions without human intervention. Humans are already using AI to automate once-manual processes, provide insights and recommendations, and engineer outcomes not possible through human decision-making alone. Humans can focus on more strategic efforts while machines care for mundane or repetitive tasks. These factors drive competitive advantages and better outcomes compared to similar efforts that do not include AI.

Key benefits of AI:

  • Identify new market trends and opportunities with preemptive recommendations
  • Improve operational efficiencies with minimal human intervention
  • Optimize labor and decisions among employees at any level of the organization
  • Leverage AI-driven analytics capabilities with minimal technical expertise required

How can Pyramid Analytics help?

Pyramid Analytics helps organizations get the greatest possible value from their data. This is done by delivering actionable insights to users at any level of their organizations. Pyramid Analytics’ Decision Intelligence Platform leverages AI and machine learning to automate analytics tasks once reserved for data science experts and then deliver relevant analyses to employees through visualizations and natural language. This way, even nontechnical employees can incorporate AI-driven capabilities into their existing workflows.