IBM's Business Analytics Enterprise breaks down data silos and offers new advantages to data-driven businesses.
Earlier this quarter, IBM released Business Analytics Enterprise to meet the demands of new-era, data-driven businesses. The software suite includes IBM Planning Analytics with Watson, IBM Cognos Analytics with Watson and the new Analytics Content Hub .
People Analytics Must Evolve Or Die
Labor is the biggest corporate expense for most organizations. The cost of labor for an average company typically represents around 30% of revenue (this percentage can be a lot higher for service-based businesses).
More often than not, people analytics teams get stuck in the reporting phase. They focus too much on the "what" when they should be thinking of the "so what."
Data Center Construction Projects Overview and Analytics 2022: Projects in Pipeline Worth $393 ...
The publisher is currently tracking a global pipeline of large-scale data center projects with a total value of US$393.0 billion. The pipeline of projects includes all those with a value above US$25 million, and at any stage from pre-planning through to execution.
This report provides a detailed analysis of data center construction projects globally, based on projects tracked by the publisher.
AI-as-a-service makes artificial intelligence and data analytics more accessible and cost ...
Artificial intelligence (AI) has made significant progress in the past decade and has been able to solve various problems through extensive research. From self-driving cars to intuitive chatbots like OpenAI's ChatGPT .
AI solutions are becoming a norm for businesses that wish to gain insights from their valuable company data. Enterprises are looking to implement a broad spectrum of AI applications, from text analysis software to more complex predictive analytics tools.
Blockchain analytics unable to prevent FTX-level illicit schemes
Data transparency has been a focal point for the cryptocurrency industry, but the FTX fiasco has shown that centralized exchanges (CEXs) are not transparent enough. So far, crypto analytics firms are apparently not capable of tracking transactions to help prevent collapses like that of FTX.
Key Data Science, Machine Learning, AI and Analytics Developments of 2022 - KDnuggets
It's the end of the year, and so it's time for KDnuggets to assemble a team of experts and get to the bottom of what the most important data science, machine learning, AI and analytics developments of 2022 were.
The end of the year is imminently upon us, and just as we have done for a long time, KDnuggets has reached out to a varied cast of experts to solicit their input on the following question:
Product Analytics: What To Know - NewsWatchTV
Product analytics is a data-driven approach to understanding and improving the performance of a product or service. It involves collecting, analyzing, and interpreting data related to a product’s usage, customer behavior, and business outcomes.
Product analytics is a key aspect of product management that helps businesses understand how their products are being used and how they can be improved.
Top 5 Functional Requirements for BI Platform
An analytics and business intelligence (ABI) platform supports the development and delivery of analytics for nontechnical users — providing them with self-service access to approved data, analysis, visualization and reporting capabilities that they can easily explain and share.
Databricks' Howard Levenson: Open Source Tools Could Help Agencies Perform Predictive ...
Levenson discussed how machine learning and an open source-based data lakehouse architecture like the Databricks Lakehouse Platform could help agencies perform predictive analytics using various forms of data, whether it is structured, semi-structured or unstructured.
"The Databricks Lakehouse Platform combines the reliability, governance and performance of data warehouses with the openness, flexibility and machine learning support of data lakes," he wrote.
Army of the Alien Monkeys
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