Operations | Monitoring | ITSM | DevOps | Cloud

Why IT admins and Gen AI need to work together

The role of IT administration has become increasingly crucial for the smooth operation of modern enterprises in the current digital-first climate. With the evolution of technology, the emergence of Generative Artificial Intelligence (Gen AI) has opened new avenues for innovation and efficiency. This blog aims to delve into the synergistic relationship between IT administrators and Generative AI, focusing on two critical areas: IT Asset Management (ITAM) and IT Operations Management (ITOM).

Unleashing the Full Potential of GPT

It's fair to say Open AI has truly let the cat out of the bag when it comes to artificial intelligence and, more specifically, large language models. While these things certainly existed before, every company and its mom chose to use the word AI about 100 times per quarterly statement; it has only been recently that it has been unleashed to the masses for them to use for a vast range of projects ranging from implementing them as chatbots to answer customer queries, to helping both casual and professional coders to maximize their output and massively increase efficiency in the process.

AI-powered insights for continuous profiling: introducing Flame graph AI in Grafana Cloud

Like many in the observability space, we see a lot of potential in harnessing AI to enhance the developer experience. As we continue to evolve and expand our observability platform, we strive to develop features that not only solve complex problems, but make it easier to access and derive value from tools like Grafana Pyroscope.

GenAI in Enterprise Service Management #ivanti

Ivanti’s Peter Adams previews his breakout session at ISS 2024, explaining the profound impact that generative AI is already having on enterprise service management as well as what to expect in the near future. Ivanti finds, heals, and protects every device, everywhere – automatically. Whether your team is down the hall or spread around the globe, Ivanti makes it easy and secure for them to do what they do best.

Exoskeletons not robots

In this clip, Pete explains why we've taken the approach of "exoskeletons, not robots" when building with AI. It’s fair to say that AI is here to stay. So, as companies grapple with this reality, they’re putting their best foot forward to build AI features that really make a difference for their customers. But should you be building these features if there’s no obvious fit in your product? And even if there is, are you making sure to stay true to your product principles?

Elasticsearch accelerates building AI search apps on serverless

Today we are announcing the availability of Elasticsearch Serverless in technical preview, which features: Early access customers have used this new self-service option for a range of use cases — from internal analytics to building generative AI applications and conducting machine learning tasks.

Navigating New Horizons: Modern Marketing Strategies Across Five Key Sectors

Today, in an ever-dynamic market landscape, businesses in all sectors are increasingly drawing towards invention in how they market their products and services in order to command their place and grow. From the automotive industry to technology, the quintessence of marketing at work lies in understanding and adapting to new consumer behaviors and technological advancements. It focuses particularly on the application of contemporary marketing strategies to five key fields: automotive, technology, healthcare, real estate, and retail, to reflect how these industries redefine their practice of outreach and engagement.

The Role of Data Annotation in Agriculture

Going to a supermarket and getting whatever we want for our lunch is our everyday practice. We're even used to some fruits and vegetables available all year round. We also allow ourselves the abundance of grains and roots on our plates. But have you ever wondered what hides behind? Taking logistics and harvesting aside, do you know what steps agriculture undertakes to make this availability and prosperity actually happen?

Building AI features? Don't forget your product principles

It’s fair to say that AI is here to stay. So, as companies grapple with this reality, they’re putting their best foot forward to build AI features that really make a difference for their customers. But should you be building these features if there’s no obvious fit in your product? And even if there is, are you making sure to stay true to your product principles? The reality is that deciding to build AI into your product isn’t a decision you make on a whim.