Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. This week, we will delve into low-code/no-code AI, its potential, and how it can facilitate application development. In a world that is advancing technologically, AI could be one of the greatest things the internet industry has ever witnessed. We have heard so much about AI over the past decade as it has increasingly been deployed in various sectors.

Since its inception, GenAI has been the talk of the business town. Globally, enterprises are using this disruptive technology to reap immense benefits like enhanced productivity, generate higher revenue, and do exceptionally well in customer experience. If this GenAI buzzword has your attention and you are trying to grasp its potential, this blog is an ideal read.

We’re bringing AI to network observability. And adding new products to Kentik, including a modern NMS, to simplify troubleshooting complex networks.

CloudFabrix’s Macaw Conference for Observability and AIOps garnered traction and showcased modern solutions to modern IT problems in enterprises. This is a summary of the conference. CloudFabrix CMO – Shailesh Manjrekar kicked off the conference by delivering the keynote by talking about the General Market Trends & highlighting the Modern IT challenges faced by Enterprises during their Digital Transformation journey.

Although Generative AI traces its origins to the earliest machine learning models in the 1950s, its popularity and usage has accelerated exponentially over the past year after OpenAI issued the first public release of its ChatGPT (generated pre-trained transformer) AI chatbot in December 2022. Generative AI holds the potential to transform many professions including IT operations.

Organisations are reshaping their digital strategies, and AI is at the heart of these changes, with many projects now ready to run in production. Enterprises often start these AI projects on the public cloud because of the ability to minimise the hardware burden. However, as initiatives scale, organisations often look to migrate the workloads on-prem for reasons including costs, digital sovereignty or compliance requirements.

It’s safe to say that Generative AI and the launch of GPT4 caused the most excitement – and fear – in technology in 2023. It’s not surprising with its possible areas of application and ease of use. Even schoolchildren are using it!

We’re living in an unprecedented moment in time. Data is reshaping our world. From enterprise networks and the cloud to the smart refrigerators in our kitchens and the watches on our wrists, data is proliferating at an unprecedented scale, both in volume and velocity. As data owners, we continuously strive to monitor and derive intelligent insights from this data so we can catch performance anomalies and issues – from misconfigured systems to a skipped heartbeat – and quickly intervene.