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6 trends framing the state of AI and ML

O'Reilly on Data

We use it as a data source for our annual platform analysis , and we’re using it as the basis for this report, where we take a close look at the most-used and most-searched topics in machine learning (ML) and artificial intelligence (AI) on O’Reilly [1]. What’s driving this growth? that support unsupervised learning.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

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Generative AI in the Enterprise

O'Reilly on Data

As of November 2023: Two-thirds (67%) of our survey respondents report that their companies are using generative AI. AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Two-thirds of our survey’s respondents (67%) report that their companies are using generative AI. of nonusers, 5.4%

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5 Ways Machine Learning Can Boost Your Digital Marketing Efforts

Smart Data Collective

As far back as 2018, a veritable eternity in the world of online marketing, over 80% of marketing organizations reported the deployment or growth of their AI and machine learning efforts. This is the same kind of data that can take hours or work or a lot of luck to uncover manually. Remove Guesswork from Marketing Campaigns.

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7 famous analytics and AI disasters

CIO Business Intelligence

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. The refrain has been repeated ever since.

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Billie Inspires Customer Trust with Tool to Improve Dashboard Reliability

Sisense

Especially when dealing with business data, trust in the figures is an essential element of every transaction. A reputation for stability and accuracy is critical in the fintech industry, dealing as it does with sensitive, high-impact data and security challenges. For analytics teams, trust is hard to gain and easy to lose.

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When models are everywhere

O'Reilly on Data

Many of the models you interact with are mediated through screens, and there’s no shortage of news about how many of us spend our lives glued to them. David Foster Wallace had the general structure of the user–product interaction correct. Let’s start by looking at how models impact us. SCREENS, FEEDBACK, AND “THE ENTERTAINMENT”.

Modeling 188