Operations | Monitoring | ITSM | DevOps | Cloud

April 2021

Five Reasons To Choose Dell and Robin Cloud Native Platform For AI/ML (Blog series - Part 3 of 3)

In part 1 and part 2 of this series, we examined how AI/ML can help improve healthcare and the challenges faced by AI/ML teams in realizing the benefits respectively. In this part, we will explore how Robin and Dell can help overcome these challenges.

Four Key Challenges To Adopting AI/ML In Healthcare (Blog series - Part 2 of 3)

In part 1 of this series, we examined how AI/ML can help improve healthcare. AI/ML is an ambitious undertaking that promises to revolutionize healthcare. Getting excited is easy, but where do you start and why is it not just another empty promise? In fact, despite all these promises and futures, most AI/ML projects fail and don’t deliver. The failure rate of AI/ML projects is starting to make some wonder if this is real or hype.

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.

Five Use Cases for AI/ML in Healthcare (Blog series - Part 1 of 3)

Technology has accelerated changes toward information-based healthcare delivery and management. Today’s multi-disciplinary approach to delivering better healthcare outcomes coupled with advanced imaging and genetic-based customized treatment models depend on AI/ML driven information systems. At Robin.io, we believe machine learning is the life-saving technology that will transform healthcare. AI/ML challenges the traditional, reactive approach to healthcare.

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.