Operations | Monitoring | ITSM | DevOps | Cloud

Six Enterprise AI Predictions for 2025

In many ways, the upcoming year is shaping up to be one of opportunity and innovation as IT leaders see more benefits and options around AI than ever before in running the enterprise. By the same token, this progress is creating new complexities and choices for organizations to navigate. Through conversations with ScienceLogic customers, leading industry analysts, partner companies and key executives, several AI-related themes have emerged moving into 2025.

Future Trends in Ecommerce and Predictions for Business Growth

Explore the evolving world of ecommerce with insights into mobile commerce, AI-driven personalization, omnichannel retailing, and sustainable practices. Learn how emerging technologies and innovative strategies can help businesses thrive in the competitive online retail landscape. Discover opportunities to enhance customer experiences and drive success in ecommerce.

ElasticGPT: Empowering our workforce with generative AI

Like all organizations, Elastic deals with an ever-increasing volume of information and data, making it harder for our teams to keep information up to date and for employees to find answers from relevant resources. As a leading Search AI company, our approach to customer-first starts with customer zero — us. When our employees needed a better way to find the information necessary to do their jobs, we knew we could use our own technology to bring that vision to life.

The Growing Role of Data Science in Technology

Have you ever wondered how your favorite apps predict what you want to watch or buy? In today's world, data drives much of what we experience in technology. From smartphones to smart cities, data science shapes how tools, systems, and services are built and improved. As technology advances, data becomes even more critical in solving problems, improving efficiency, and enhancing user experiences. In this blog, we will share how data science plays a key role in shaping the technology of today and the future.

What is Agentic AI? And why does it matter in IT service management and ITAM?

When embarking on a new digitalisation project today, people expect more than just the basics, such as security, functionality or choosing a trusted brand. They're looking for tools that offer a personalized experience and smart automations. This is especially true for service desks and IT management platforms, where automating repetitive tasks and tailoring the experience to users really matter. AI agents are a great solution for this. They can handle tasks on their own, make processes smoother, boost efficiency, and save money.

AI-Powered Fuzzing: The Future of Automated Application Security Testing

Increasingly complex code, evasive attackers, and other factors make application security essential during and after app development. Throughout the process, developers should be testing the application for bugs and security vulnerabilities to protect against downtime, whether that downtime is caused by unintentionally problematic inputs or deliberate attacks.

AI Agent RCA on Alerts: Get the Info You Need, Fast

A critical component of any monitoring and observability system is alerting. But alerts in and of themselves aren’t enough—when something goes wrong, time is of the essence, and your team needs to figure out not just what’s going on but how to fix it, and fast. Additionally, constantly chasing down alerts can be the bane of any observability practitioner’s existence.

PagerDuty's AI-First Future with AWS: Key Announcements at AWS re:Invent 2024

At AWS re:Invent 2024, PagerDuty is strengthening its long-standing partnership with Amazon Web Services (AWS). Together, we’re launching new AI and automation tools to enhance operational efficiency and help teams deliver superior customer experiences. With a plugin for Amazon Q, and integrations with Amazon Bedrock and Amazon Bedrock Guardrails, PagerDuty Advance is redefining what it means to respond to incidents faster and smarter.

The Rise of DevOps Copilots: A New Era of Automation and Intelligence

As the demands of modern software development continue to grow, so too does the complexity of DevOps. To keep pace, many organizations are turning to AI-powered assistants that help manage infrastructures, streamline pipelines, and automate repetitive tasks. These assistants are known as copilots, and they promise to enhance productivity while reducing operational overhead. But not all of them are created equal.

Monitor your OpenAI LLM spend with cost insights from Datadog

Managing LLM provider costs has become a chief concern for organizations building and deploying custom applications that consume services like OpenAI. These applications often rely on multiple backend LLM calls to handle a single initial prompt, leading to rapid token consumption—and consequently, rising costs. But shortening prompts or chunking documents to reduce token consumption can be difficult and introduce performance trade-offs, including an increased risk of hallucinations.