Anomalies don’t have to be a fear factor; they could even present an opportunity to make money. Imagine detecting positive spikes in in-app purchases, conversions, or gaming activity in real-time and then having your business monitoring system identify what caused them 10x faster than you can now – autonomously. With 95% accuracy in the root cause analysis you could replicate and capitalize on the deviation immediately.
More and more, working smarter and faster means building more intelligent software with a focus on AI capabilities to enhance machine learning, increase automation, and produce faster, more accurate predictions. Unlocking the benefits of artificial intelligence is a central focus for the ServiceNow Advanced Technology Group (ATG)—a customer-centered innovation group founded in August 2020.
For our latest expert interview on our blog, we’ve welcomed Alice Thwaite to share her thoughts on the topic of artificial intelligence (AI) as well as the reasons behind founding technology ethics company Hattusia. Alice Thwaite is an AI ethics philosopher and ethicist who specialises in creating democratic information environments.
One of the most important uses of Artificial Intelligence (AI) and Machine Learning (ML) lies in the detection and prevention of criminal activities. Today, companies are widely using AI-powered computer vision devices to predict and detect crimes ranging from frauds and theft to violence and cybercrimes. The developments in computer vision technologies enabled authorities to simplify incident reporting and crime detection more efficiently.
Artificial intelligence is transforming software development. From the code to the deployment, AI is slowly but surely upping its game and helping us discover a brand new paradigm for inventing technology. Algorithm-based machine learning is being used to accelerate the software development lifecycle and AI is supporting developers to optimize software workflow at every stage of the development process.
Coca-Cola is one of the most recognizable brands on the planet. That’s because wherever it’s produced, the quality, product, and design are the same. When three Coca-Cola companies merged in 2016 to create Coca-Cola European Partners, operational differences became apparent. The company needed a way to standardize platforms and processes across 13 Western European countries and 50 bottling plants. We had three systems in place, three ways of working, and multiple languages.
Telecom companies monitor their network using a variety of monitoring tools. There are separate fault management and performance management platforms for different areas of the network (core, RAN, etc.), and infrastructure is monitored separately. Although these solutions monitor network functions and logic – something that would seem to make sense — in practice this strategy fails to produce accurate and effective monitoring or reduce time to detection of service experience issues.
