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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

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Citizen Data Scientists Are Key. So Is the Solution They Use.

Smarten

World-renowned technology analysis firm Gartner defines the role this way, ‘A citizen data scientist is a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics. ‘If

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Assisted Predictive Analytics Benefits All Team Members!

Smarten

Leverage Enterprise Investments for Predictive Analytics and Gain Numerous Advantages! Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Why the focus on predictive analytics? It’s simple!

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Artificial Intelligence, Real Enhancements, Better Insights

Sisense

Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. And at Alteryx it was trying to understand what the more data-science part of the world needs.

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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

Combined, it has come to a point where data analytics is your safety net first, and business driver second. A lot of testing AI methods can be utilized for better and more accurate outcomes from mining the data. Predictive Analytics: Predictive analytics is the most talked about topic of the decade in the field of data science.

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Four starting points to transform your organization into a data-driven enterprise

IBM Big Data Hub

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. You can select a hybrid integration strategy that aligns with your organization’s business strategy to meet the needs of your data consumers wanting to access and utilize the data. Start a trial.