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AI for Amateurs: Questions Answered by Veda’s AI Experts

Everything You Always Wanted to Know About AI But Were Afraid to Ask

Impossible to miss, 2023 is synonymous with the year AI debuted to the masses. AI capabilities have brought up questions in every industry, including healthcare. Your organization will likely find itself navigating the risks and rewards associated with healthcare AI in the coming year.

But, let’s start with a question you’re too afraid to ask at the company meeting: What is AI? Like, really. We’ve found a lot of false information out there and we’re here as a trustworthy source you can pull information from.

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Why is Veda a Trusted Source?

As pioneers who have used AI technology since our founding, we’re passionate advocates for AI and want to ensure everyone else feels comfortable with it too.

Want our credentials? Our technology and data science team has 80 years of collective AI experience. Veda co-founder and Chief Science and Technology Officer, Bob Lindner, is the author of five technology patents on AI, entity resolution, and machine learning. Bob also has over 16 years of experience writing and publishing scientific and academic papers in the artificial intelligence field.

Backed by extensive experience and science, we’re the AI experts.

What is AI?

OFFICIAL ANSWER: Artificial intelligence Is a field of study that focuses on how machines can solve complex problems that usually involve human intelligence.

AI is not one specific tool. It is a field of study. With AI’s computing power, computers can make decisions and predictions, and take actions. An algorithm recommending which movie you should watch next is an AI action.

VEDA’S TAKE: So why does this matter? Why is AI important? By freeing up human resources, AI can reduce manual and often error-prone tasks. Freeing up people so they have the time to do the things they do best, that’s the power of AI.

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What is machine learning?

OFFICIAL ANSWER: Machine learning is a sub-field of AI and focuses on algorithms that train models to make predictions on new data without being explicitly programmed. Meaning, the machine learns the way humans do, with experience.

Note: In recent years, some organizations have begun using the terms artificial intelligence and machine learning interchangeably.

Instead of learning step by step, computers using machine learning can learn through trial and error and lots of practice. What does machine learning practice on? Lots and lots of data. The data can be things like images, video, audio, and text. When fed loads of data, machine learning will recognize patterns and make predictions based on these patterns.

AI is not one specific tool. It is a field of study. With AI’s computing power, computers can make decisions and predictions, and take actions.

VEDA’S TAKE: Veda uses machine learning, and therefore, AI for the healthcare industry, every day. For what exactly? To power our provider information. Veda uses machine learning to:

  • Determine correct addresses and phone numbers
  • Transform provider rosters from one format to another
  • Simulate an experience a member may have when booking an appointment

With a patented training data approach, our machine learning can make predictions on a wide variety of new data (that it has never seen before in the training set).

Feeling good about AI and machine learning? Further your AI understanding with these blogs:



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