article thumbnail

Core technologies and tools for AI, big data, and cloud computing

O'Reilly Media - Ideas

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Data Platforms. Data Integration and Data Pipelines. Transportation and Logistics.

article thumbnail

What is business intelligence? Transforming data into business insights

CIO

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Building Trust in Public Sector AI Starts with Trusting Your Data

Cloudera

This summer’s MOVEit data breach has impacted over 2,600 organizations and 70,500,000 people worldwide, including Maximus (11 million), the state of Maine (1.3 million), the Louisiana Department of Motor Vehicles (6 million), and Oregon’s Department of Transportation (3.5 million), among others.

Data 104
article thumbnail

Why Stream Data Integration is a Must-Have Delivery Style

Actian

Integrating streaming data into your enterprise data landscape requires re-thinking your delivery methods for transporting streaming data from source to the target consumer. Stream data integration is the way you do that. The Exciting Challenge of Big Data. What is Stream Data Integration?

Data 40
article thumbnail

How Emerging Technologies are Driving Operational Excellence

TIBCO - Connected Intelligence

One example of where this has made a significant impact is in the transportation and logistics industry, specifically using data in motion for insights and automated decisions. However, innovation has taken place across the customer and partner ecosystem when it comes to tracking, analyzing, and responding with data.

article thumbnail

Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

Supply chain practitioners and CEOs surveyed by 6river share that the main challenges of the industry are: keeping up with the rapidly changing customer demand, dealing with delays and disruptions, inefficient planning, lack of automation, rising costs (of transportation, labor, etc.), Analytics in logistics and transportation.

article thumbnail

Machine Learning vs. Data Science: Everything You Need to Know

KitelyTech

Machine learning deals with a wide variety of tasks like image and video recognition, speech recognition, natural language processing, speech transcription, web browsing, text mining, product cataloging, image and video analytics, time tracking, artificial intelligence, and marketing. What is Data Science?