Remove 2022 Remove Business Intelligence Remove Cloud Data
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Enhance your Amazon Redshift cloud data warehouse with easier, simpler, and faster machine learning using Amazon SageMaker Canvas

AWS Machine Learning Blog

The analyst can easily pull in the data they need, use natural language to clean up and fill any missing data, and finally build and deploy a machine learning model that can accurately predict the loan status as an output, all without needing to become a machine learning expert to do so.

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. This method is particularly effective in capturing the complexities and many-to-many relationships inherent in modern business processes.

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5 Takeaways from the 2022 Gartner® Data & Analytics Summit, Orlando, Florida

DataRobot Blog

How do you drive collaboration across teams and achieve business value with data science projects? With AI projects in pockets across the business, data scientists and business leaders must align to inject artificial intelligence into an organization. Data Analysis Must Include Business Value.

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What is the Snowflake Data Cloud and How Much Does it Cost?

phData

Snowflake’s Data Cloud has emerged as a leader in cloud data warehousing. As a fundamental piece of the modern data stack , Snowflake is helping thousands of businesses store, transform, and derive insights from their data easier, faster, and more efficiently than ever before. What is a Data Lake?

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IBM to help businesses scale AI workloads, for all data, anywhere

IBM Journey to AI blog

. “The media and entertainment industry has undergone a significant digital transformation, with viewers consuming content across different devices and platforms,” said Vitaly Tsivin, EVP Business Intelligence at AMC Networks. ” Notably, watsonx.data runs both on-premises and across multicloud environments.

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Celebrating 40 years of Db2: Running the world’s mission critical workloads

IBM Journey to AI blog

Don Haderle, a retired IBM Fellow and considered to be the “father of Db2,” viewed 1988 as a seminal point in its development as D B2 version 2 proved it was viable for online transactional processing (OLTP)—the lifeblood of business computing at the time. Db2 (LUW) was born in 1993, and 2023 marks its 30th anniversary.

Database 101
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Visionary Data Quality Paves the Way to Data Integrity

Precisely

And the desire to leverage those technologies for analytics, machine learning, or business intelligence (BI) has grown exponentially as well. Read our eBook 4 Ways to Measure Data Quality and learn more about the variety of data and metrics that organizations can use to measure data quality.