Artificial Intelligence

Explore the present and the future of AI

The Enterprise AI Promise: Path to Value

Insights from a SAS survey on the readiness for AI for Enterprises

Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data.

What is Artificial Intelligence

"AI in banking is really helping serve the customer better and provide offers that are more relevant to them at the right time through the right channel." Pierre Montagnier Director of Customer Marketing, Analytics & Modeling Bank of Montreal

How Artificial Intelligence Is Being Used

Every industry has a high demand for AI capabilities – especially question answering systems that can be used for legal assistance, patent searches, risk notification and medical research. Other examples of AI in use include:

Health Care

AI applications can provide personalized medicine and X-ray readings. Personal health care assistants can act as life coaches, reminding you to take your pills, exercise or eat healthier.

Retail

AI provides virtual shopping capabilities that offer personalized recommendations and discuss purchase options with the consumer. Stock management and site layout technologies will also be improved with AI.

Manufacturing

AI can analyze factory IoT data as it streams from connected equipment to forecast expected load and demand using recurrent networks, a specific type of deep learning network used with sequence data.

Sports

AI is used to capture images of game play and provide coaches with reports on how to better organize the game, including optimizing field positions and strategy.

SAS® Visual Data Mining and Machine Learning on desktop - neural network

SAS® Visual Data Mining and Machine Learning

AI is simplified when you can prepare data for analysis, develop models with modern machine-learning algorithms and integrate text analytics all in one product. Plus, you can code projects that combine SAS with other languages, including Python, R, Java or Lua.

How Artificial Intelligence Works

AI works by combining large amounts of data with fast, iterative processing and intelligent algorithms, allowing the software to learn automatically from patterns or features in the data. AI is a broad field of study that includes many theories, methods and technologies, as well as the following major subfields:

Read more about the future  Artificial Intelligence

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