Tag: data analytics
Artificial intelligence is powering new ways of doing business in everything from banking to agriculture, with advances ranging from image recognition to machine translating offering real-world benefits.
When Tourism Holdings Limited (thl) implemented a new cloud-based booking and fleet management system, they needed to consider the best way to migrate and consolidate their data for reporting and analysis.
It should serve as the global wake-up call we need, a meticulously researched report from the world’s top climate scientists that suggests the world is driving towards a cliff with our foot planted firmly on the accelerator.
A move by the Government to mandate a Consumer Data Right could make switching providers easier and spur innovation in delivering data-driven services.
The pandemic, more than anything else in recent years, has confirmed that data can inform better decision making, often with life-saving results.
Does your company use modern data visualisation and reporting tools to monitor their performance? Until recently your ability to share insights with your business affiliates might still have been relying on manual processes and outdated systems.
Jeff Bezos, the world’s richest man, is relinquishing his grip on day to day oversight of the e-commerce giant he created. His replacement has big shoes to fill and a background steeped in cloud computing.
Explore the future of data and analytics with Microsoft CEO Satya Nadella and other industry experts. We’ll show you how to create a flowing continuum of trusted, accurate data and timely, actionable insights.
We are swimming in data, but poor on insights that can help us improve our businesses. Technology can help, but a more mature approach to data governance and processes is needed, says analyst firm IDC.
The latest version of OpenAI’s text processing engine signifies a leap forward in computers’ ability to generate coherent language, but comes with a serious risk of bias.
New and emerging technologies open up new insights from data, but the volume and complexity of data being generated creates challenges for IT leaders. How can organisations begin using AI and automation for intelligent data management?