data science
data science

Pega Helps Businesses Mitigate Risk With AI Transparency Controls

Within the  latest release of its Pega® Customer Decision Hub, Pegasystems has announced the ability for customers to deploy AI algorithms based on transparency thresholds. Called the T-Switch, the software is aimed at helping companies mitigate potential risks and maintain regulatory compliance while providing differentiated experiences to their customers. Not all  AI models are built with […]

CognitiveScale CEO: What to expect in AI in 2018

By Akshay Sabhikhi, CEO & Co-founder, CognitiveScale AI Will Not Be Commoditized Only one in 20 companies has extensively incorporated AI in offerings or processes. Less than 39% of all companies have an AI strategy in place. According to MIT Sloan Review, the largest companies — those with at least 100,000 employees — are the […]

Barrier to AI in the Enterprise: Access to High Quality Data

According to a recent Teradata study, 80% of IT and business decision-makers have already implemented some form of artificial intelligence (AI) in their business. The study also found that companies have a desire to increase AI spending. Forty-two percent of respondents to the Teradata study said they thought there was more room for AI implementation across the […]

Researchers Combat Gender and Racial Bias in AI with Teams

When Timnit Gebru was a student at Stanford University’s prestigious Artificial Intelligence Lab, she ran a project that used Google Street View images of cars to determine the demographic makeup of towns and cities across the U.S.  While the AI algorithms did a credible job of predicting income levels and political leanings in a given area, Gebru says her work was susceptible […]

The Difference between Data Science and Data Visualization and the Connection between them

Data Science and Data Visualization The expression “data science” (initially used reciprocally with “datalogy”) has existed for more than thirty years and was used at first as a substitute for software engineering by Diminish Naur in 1960. In 1974, Naur published Concise Survey of PC Methods, which unreservedly used the term data science in its […]

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BlockChain as a Service (BaaS)

Blockchain technology is being used to distribute the financial market, rather than keep it in the control of a few major companies. How about the same concept with Artificial Intelligence so that it can deliver the values in a plug and play mode i.e A…

Deeper look into Big Data vs Data Mining vs Data Visualization Tools vs Business Intelligence and their integration

Big Data vs Data Mining vs Data Visualization Tools vs Business Intelligence Big Data Big data is data sets that are so large and also complex that conventional data processing application software is unable to manage them. Big data challenges incorporate data collection, data storage, data analysis, search, sharing, transfer, visualization, questioning, refreshing and data […]

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Intelligence Augmentation and Artificial Intelligence

AI is today increasingly used as a wide term to describe machines that can mimic human functions such as learning and problem solving, but was originally founded on the premise that human intelligence can be precisely described, and machines made to si…

BitCoin State of Blockchain and Artificial Intelligence in Fintech

Blockchain technology is a digital innovation that is poised to significantly alter financial markets within the next few years, within a cryptographic ecosystem that has the potential to also significantly impact trusted computing activities and there…

A Comprehensive Tutorial to Learn Data Science with Julia from Scratch

Introduction Recently, I came across a quote about Julia: “Walks like python. Runs like C.” The above line tells a lot about why I …
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