AI Analytics Artificial Intelligence Augmented Analytics 
Dataversity
APRIL 29, 2024
The sheer volume and complexity of information available have made it increasingly difficult for organizations to extract meaningful insights using traditional business intelligence (BI) tools and the expertise of specialized data scientists. This is where augmented analytics comes in.
ODSC - Open Data Science
FEBRUARY 12, 2024
Data analytics is integral to modern business, but many organizations’ efforts are starting to fall flat. Now that virtually every company is capitalizing on data, analytics alone isn’t enough to surge ahead of the competition. As it happens, this area is also an ideal application for augmented analytics. REGISTER NOW 2.
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Dataconomy
JANUARY 21, 2021
Augmented analytics: the combination of AI and analytics is the latest innovation in data analytics. For organizations, data analysis has evolved from hiring “unicorn” data scientists – to having smart applications that provide actionable insights for decision-making in just a few clicks, thanks to AI.
Tableau
SEPTEMBER 20, 2021
Now, we’re putting artificial intelligence (AI) in the flow of work, too. With Tableau’s powerful augmented analytics capabilities directly in Slack, your data is more actionable, accessible, and intelligent than ever. . Data, insights, and AI in the flow of work . What does that look like? .
Tableau
SEPTEMBER 20, 2021
Now, we’re putting artificial intelligence (AI) in the flow of work, too. With Tableau’s powerful augmented analytics capabilities directly in Slack, your data is more actionable, accessible, and intelligent than ever. Data, insights, and AI in the flow of work. What does that look like?
ODSC - Open Data Science
AUGUST 24, 2023
Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. As LLMs become integral to AI applications, ethical considerations take center stage.
Dataversity
JULY 21, 2022
Despite its many benefits, the emergence of high-performance machine learning systems for augmented analytics over the last 10 years has led to a growing “plug-and-play” analytical culture, where high volumes of opaque data are thrown arbitrarily at an algorithm until it yields useful business intelligence.
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