Large Language Models (LLMs) are all the rage in software development, and for good reason: they provide crucial opportunities to positively enhance our software. At Honeycomb, we saw an opportunity in the form of Query Assistant, a feature that can help engineers ask questions of their systems in plain English.

From the science fiction fantasies of the mid-20th century to today's reality, AI's journey has been a blend of innovation and apprehension. As we contemplate the future of AI, it’s interesting to look back at the early days of AI, how far it’s come and what we might yet expect. AI has the potential to be of huge benefit but could be disruptive in the wrong hands, particularly in the realm of cybersecurity. A Brief History and Development of AI.

Learn how Cisco AppDynamics OpenAI API monitoring provides comprehensive insights that enable application owners and operations to optimize cost and monitor performance of OpenAI integrations. The rapid advancement of generative artificial intelligence (GenAI) has reshaped various industries and transformed the way we interact with technology. Companies across diverse sectors have fully embraced the power of GenAI to such an extent that it is now an integral part of the digital experience.

Despite the rise of AI, the need for app developers isn’t going away. In fact, a 2023 ServiceNow-sponsored study by Pearson suggests approximately 95,000 new application developer roles will be added globally over the next five years. According to ServiceNow’s special report on the impact of AI on tech skills, based on the research, only about 20% of app developer tasks will be either automated or augmented by 2027.

In today’s ever-evolving digital landscape, data is the new gold. And with the advent of generative AI in cloud services, businesses have a unique chance to transform their data in powerful new ways.

Over the last several months, AI has been everywhere in the technology space and far beyond. Since it directly affects the tech ecosystem, however, it’s no surprise that developers have harnessed artificial intelligence to create tools that boost productivity and enhance workflows. Artificial intelligence is essentially a computer’s ability to perform tasks at the same level (and often beyond) as intelligent beings.

If generative AI is innovative for enterprises in 2023, being cloud-based is ubiquitous. What that means is that the data today is extremely voluminous and complex. Not to mention that all that data needs proactive monitoring and analysis. Thus, data in observability and monitoring can often be complex and challenging to understand due to its sheer volume and diversity.

Virtana’s AI-powered platform is at the forefront of IT infrastructure management, offering a comprehensive suite of tools and services that empower IT leaders to make informed decisions on how to forecast demand and streamline operations. The rapid evolution of technology has ushered in an era of complexity and dynamism that IT leaders must navigate effectively.

Like many companies, earlier this year we saw an opportunity with LLMs and quickly (but thoughtfully) started building a capability. About a month later, we released Query Assistant to all customers as an experimental feature. We then iterated on it, using data from production to inform a multitude of additional enhancements, and ultimately took Query Assistant out of experimentation and turned it into a core product offering.