Operations | Monitoring | ITSM | DevOps | Cloud

Interview with AI Ethicist, Alice Thwaite

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.

Incident Reporting and Crime Detection: The Role of Computer Vision

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.

6 Ways Artificial Intelligence Improves Software Development

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.

How Can Companies Integrate Ethical AI? | Splunk's Ram Sriharsha & Dr. Rumman Chowdhury

Organizations use AI to be more competitive, deliver better business outcomes and avoid falling behind. However, business leaders should know they pose their organizations’ serious risk if they do not comply with ethical standards. Leadership must enable teams to practice ethical business strategies, up-level talent strategy, and enable organizational resilience. Dr. Rumman Chowdhury and Ram Sriharsha, Head of Machine Learning at Splunk, discuss the challenges companies will face if they do not comply with ethical standards and how to solve for fairness and privacy.

Using AI and Automation to Enrich the Employee Service Experience

Artificial intelligence (AI) continues to take its place in the tech field. From virtual assistants to software capable of self-remediation, AI enhances everyday user experiences and increases the use of IT automation solutions in the workplace. Most of the tech workforce welcomes AI with open arms and understands the advances smart technology can bring and how it can improve business objectives.

AI and machine learning streamline workflows at Coca-Cola

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.

Bridge the gap in your OSS by adding an AI brain on top

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.

Five worthy reads: Location intelligence-the key to next-level data utilization

Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. This week we explore the rising scope of location intelligence in improving the overall customer experience.

Conversational AI Chatbots- The Best Solution for Your Customer Engagement

Conversational AI chatbots are a new vector of artificial intelligence use case that makes the user experience satisfactory, providing immediate response. This technology enables users to converse with applications through various means, such as via text, voice, touch, or gesture, which are closely the same as humans. Users find it much more impressive as they can communicate with their vocabulary and terminologies.

AI on premise: benefits and a predictive-modeling use case

Running an Artificial Intelligence (AI) infrastructure on premise has major challenges like high capex and requires internal expertise. It can provide a lot of benefits for organisations that want to establish an AI strategy. The solution outlined in this post illustrates the power and the utility of the universal Operator Lifecycle Manager (OLM) using Juju, a universal OLM, to create and manage on premise AI infrastructure.