Why AI Will Become an Essential Business Tool

Why AI Will Become an Essential Business Tool

Why AI Will Become an Essential Business Tool

In some use cases, it is impossible for humans to replicate the performance of artificial intelligence. But businesses will need a lot of data for AI systems to be effective.

Maybe you’ve seen an artificial intelligence (AI) system like Watson at work on “Jeopardy!” or have heard of its successes in medical diagnoses or other fields. Maybe you’ve only heard about other similar systems working through incredibly complex and large sets of data to produce results that even non-experts can understand, through visualizations or natural language. Either way, AI systems are impressing many on their march toward becoming essential business processes.

How does artificial intelligence work? AI systems “seem so intensely magical, but they’re not. At the bottom of these systems is hardcore data analytics, and in order for them to work, the data needs to be there,” said Kristian Hammond, a faculty member of the International Institute for Analytics (IIA), durin a recent webinar. Hammond, who is also chief scientist of Narrative Science,insists we live in a world absolutely brimming with data—power comes in knowing how to process it.

Read Also:
One Big Question: Why is artificial intelligence still kind of dumb?

Watson, developed in IBM’s DeepQA project, is just one example of an AI system capable of churning through terabytes of information in search of an answer to a natural language question. If one asks it, “Who ruled Spain in 1829?” it will turn the language into a number of similar search queries, such as “was king of Spain” or “ruled Spain.”

Hammond says that with these queries, Watson searches through its various networks of sources to find patterns in historical documents or reputable websites, such as Wikipedia. From there, it’s capable of aggregating the evidence into a best guess: for example, 87 percent of the evidence points toward Ferdinand VII, and 17 percent for Maria Christina. At this point, it’s not a stretch to trust in Watson’s analysis, which would be impossible to replicate in human terms.

It’s not unlike a visual recognition engine, which examines millions of images, and all their individual pixels, to understand what patterns indicate a picture of cat versus a picture of anything else.

Read Also:
Artificial intelligence has a big year ahead, well beyond tech

IBM reported that Watson used more than 100 different techniques for analyzing natural language with Watson, but “what is far more important than any particular technique we use is how we combine them in DeepQA such that overlapping approaches can bring their strengths to bear and contribute to improvements in accuracy, confidence, or speed,” researchers stated.

 



Chief Analytics Officer Spring 2017

2
May
2017
Chief Analytics Officer Spring 2017

15% off with code MP15

Read Also:
Darktrace Automates Network Security Through Machine Learning

Big Data and Analytics for Healthcare Philadelphia

17
May
2017
Big Data and Analytics for Healthcare Philadelphia

$200 off with code DATA200

Read Also:
The Virtual Operational Data Store Demystified

SMX London

23
May
2017
SMX London

10% off with code 7WDATASMX

Read Also:
One Big Question: Why is artificial intelligence still kind of dumb?

Data Science Congress 2017

5
Jun
2017
Data Science Congress 2017

20% off with code 7wdata_DSC2017

Read Also:
Why investors are throwing heaps of money at machine learning
Read Also:
Will Artificial Intelligence Defeat Cancer?

AI Paris

6
Jun
2017
AI Paris

20% off with code AIP17-7WDATA-20

Read Also:
Darktrace Automates Network Security Through Machine Learning

Leave a Reply

Your email address will not be published. Required fields are marked *