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Get Ready For These Six 2020 Business Intelligence Trends

Smart Data Collective

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade.

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AI adoption accelerates as enterprise PoCs show productivity gains

CIO

At Lilly sites, we leverage sophisticated algorithms and models, automated guided vehicles, fully automated warehouses, robotics, and highly automated production equipment to increase and accelerate the production of our medicines,” Rau says. Align your AI strategy with your business strategy. That gets the fear factor down,” she says.

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9 Careers You Could Go into With a Data Science Degree

Smart Data Collective

The interdisciplinary field of data science involves using processes, algorithms, and systems to extract knowledge and insights from both structured and unstructured data and then applying the knowledge gained from that data across a wide range of applications. Business Intelligence Developer. Data Scientist. Data Analyst.

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What Can Artificial Intelligence Do for Me? (Part 2)

Dataversity

In my previous blog post, I described some concrete techniques and surveyed some early approaches to artificial intelligence (AI) and found that they still offer attractive opportunities for improving the user experience. The post What Can Artificial Intelligence Do for Me? Regression Analysis Regression […].

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What is the KMeans Clustering Algorithm and How Does an Enterprise Use it to Analyze Data?

Elegant BI

This article provides a brief explanation of the KMeans Clustering algorithm. What is the KMeans Clustering algorithm? Once the algorithm has been run and the groups are defined, any new data can be easily assigned to the correct group. How Does an Enterprise Use the KMeans Clustering Algorithm to Analyze Data?

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Data Audit in the Age of Machine Learning: Goals and Challenges

Dataversity

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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What is the Multinomial-Logistic Regression Classification Algorithm and How Does One Use it for Analysis?

Elegant BI

This article provides a brief definition of the multinomial-logistic regression classification algorithm and its uses and benefits. What is the Multinomial-Logistic Regression Classification Algorithm? How Does One Use the Multinomial-Logistic Regression Classification Algorithm? About Smarten.