Chaos LakeDB & Generative AI
Built from the ground up to transform your cloud storage into a Live Search+SQL+GenAI Analytics Database.
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AI
AI will empower app developers-not replace them
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.
Use embedded AI to find performance problems
The root cause of a performance transaction can be complex to troubleshoot, but it does not have to be. By using AppDynamics’s built-in machine learning capabilities, we can quickly identify Health Rule violations triggered by transaction response times deviating from their baseline and then combine those with diagnostic capabilities that get us to the specific cause. We are able to drill down into the relevant snapshots to see which method and specific line of code is to blame.
Latest breakthroughs in vector search for Elasticsearch and Lucene: ElasticON AI
Elastic experts Jim Ferenzi and Ben Trent discuss key Elasticsearch and Lucene improvements — including intuitive vector search support, multi-threading, RRF, and hybrid search with filtering and doc-level security. Plus, hear what they are working on next! Additional resources.
AI-Generated Status Updates
PagerDuty’s AI-Generated Status Updates makes it easy to keep stakeholders in the loop during an incident. Learn how you can create your status update in seconds, leveraging the power of AI.
AI-Generated Incident Postmortems
PagerDuty’s AI-Generated Incident Postmortems help teams document and implement learnings from major incidents, faster. Watch this demo to learn how.
AI-Generated Runbooks
AI-generated Runbooks lower the barrier to entry to new automation developers and speeds up the time to create new automation for experienced automation authors. This feature works seamlessly with the user’s preferred scripting language, offering a low-code solution for what used to be a high-code task. Watch how Runbook Automation users can write the task they wish to automate in plain-English and let AI build a template of automation for that particular task.
Sponsored Post
AI for Customer Support and Why You Need It
Providing exceptional customer support has become a key differentiator for businesses. Customers expect quick and personalized solutions to their queries and issues. To meet these expectations, organizations are turning to Artificial Intelligence (AI) for customer support solutions. AI technologies, such as Generative AI, have revolutionized the way companies interact with their customers, streamlining support processes, and delivering superior customer experiences. In this comprehensive guide, we will explore the significance of AI for customer support, its various use cases, how to implement it, the role of Generative AI, and the barriers to overcome for its successful adoption.
GenAI in production: how we built AI into CircleCI
In this episode, you’ll learn how to empower your team to do the most challenging thing when it comes to AI - getting started! Rob is joined by Kira Muehlbauer and Ryan Hamilton, two engineers who worked on building a groundbreaking feature at CircleCI called the AI error summarizer. Discover their insights into the process of building AI products, the challenges they faced, and the valuable lessons they learned along the way.
D2iQ's DKP 2.6 Announcement Video: AI-Powered and Secure Cluster Management
Simplify the Complex Reduce the knowledge gap between business goals and technical solutions with the AI Navigator. Get the visibility and insights you need to build, troubleshoot, and secure your clusters with the power of artificial intelligence.