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  1. At our Google Cloud Next event this past August, we announced the preview of Duet AI in Google Cloud, which embeds the power of generative AI to provide assistance to Google Cloud users of all types to help them get more done, faster. Since the announcement, we received a huge amount of interest from users all around the world. While we are on-boarding more users to Duet AI in Google Cloud preview, we would like to share some behind-the-scenes information around the journey of how we built Duet AI, especially about how we customized the foundation models powering Duet AI to make it better serve our Google Cloud users... View the full article
  2. Are you a content creator or a blog author who generates unique, high-quality content for a living? Have you noticed that generative AI platforms like OpenAI or CCBot use your content to train their algorithms without your consent? Don't worry! You can block these AI crawlers from accessing your website or blog by using the robots.txt file. Love this? sudo share_on: Twitter - Facebook - LinkedIn - Whatsapp - Reddit The post How to block AI Crawler Bots using robots.txt file appeared first on nixCraft. View the full article
  3. In this episode we’re talking about observability in MLOps When we think of observability, we talk about alerts, dashboards, logs, things that are helping people know better what’s happening with their system. Is it correct? People used to talk about the three pillars of observability. I kind of don’t agree with that way of looking at it. But it’s, it’s basically in its simplest form, it’s logs, metrics and traces. View the full article
  4. Generative AI will have a profound impact on the development community's use of automation, QA and compliance and productivity. View the full article
  5. Tray.io's Universal Automation Cloud service leverages an existing Merlin AI engine to identify the most efficient way to automate a workflow. View the full article
  6. Don MacVittie explains his vision of generative AI - the 90% rule - and how it will help developers. View the full article
  7. Techstrong Group's Alan Shimel and Will Willis talked with JFrog's Stephen Chin about the impact of generative AI on software development. View the full article
  8. HashiCorp and Microsoft have partnered to create Terraform modules that follow Microsoft's Azure Well-Architected Framework and best practices. In previous blog posts, we’ve demonstrated how to build a secure Azure reference architecture and deploy securely into Azure with HashiCorp Terraform and Vault, as well as how to manage post-deployment operations. This post looks at how HashiCorp and Microsoft have created building blocks that allow you to repeatedly, securely, and cost-effectively accelerate AI adoption on Azure with Terraform. Specifically, it covers how to do this by using Terraform to provision Azure OpenAI services... View the full article
  9. AI-engineered tools can be used to improve the SRE measurements and observability pillar of practice. View the full article
  10. H2O.ai is a visionary leader in democratizing artificial intelligence (AI) by rapidly provisioning AI platforms that help businesses make better decisions. Our company’s SaaS platform, built on AWS, H2O AI Managed Cloud, enables businesses to build productive models and gain insights from their data quickly and easily. H2O.ai’s platform uses data and technology to improve: Speed: Our platform helps businesses to quickly develop and deploy AI/ML models, which leads to faster time to market and improved decision-making. Accuracy: Our platform uses a variety of techniques to improve the accuracy of AI/ML models, including automatic feature engineering and model selection. Scalability: Our platform can be scaled to handle large datasets and complex problems. Explainability: Our platform provides insights into how AI/ML models make decisions, which can help businesses to trust and adopt these models. This post demonstrates how we used Karpenter, an AWS open-sourced just-in-time Kubernetes autoscaler, and Bottlerocket, a secure, lightweight, purpose-built Linux-based operating system to run containers in the Amazon Elastic Kubernetes Service (Amazon EKS) clusters. This combined functionality, along with prefetching container images, helped us improve the compute provisioning and configuration time for our ML workloads by 100-fold... View the full article
  11. AI can support monitoring and observability by analyzing logs and metrics to predict potential system failures or performance degradation. View the full article
  12. Red Hat has been instrumental in driving many open source community efforts around artificial intelligence and machine learning (AI/ML) technologies for more than 6 years through the Open Data Hub project. Open Data Hub is a fully open project that supports end-to-end AI/ML workflows running in containers on Red Hat® OpenShift®, a Kubernetes-powered application platform. Many organizations have used some of the technologies curated in the Open Data Hub project—such as Jupyter, TensorFlow, Pytorch, Kubeflow, and Ray—to jumpstart their own do-it-yourself efforts aimed at creating a core data science platform to build intelligent applications. View the full article
  13. As indicated in my prior blogs Optimizing Cloud Costs for DevOps With AI-Assisted Kubernetes and Optimizing Cloud Costs for DevOps With AI-Assisted Orchestration, an AI-assisted Kubernetes orchestrator is needed to optimize cloud costs for DevOps, DevSecOps and SRE. This blog describes DevOps-specific use cases for an AI-assisted Kubernetes orchestrator. The blog also describes a roadmap […] The post DevOps Use Cases for AI-Assisted Kubernetes appeared first on DevOps.com. View the full article
  14. As indicated in my prior blog, Optimizing Cloud Costs for DevOps With AI-Assisted Orchestration, an AI-assisted Kubernetes orchestrator is needed to optimize cloud costs for DevOps, DevSecOps and SRE. This blog describes the landscape for cloud-native optimization approaches and a features requirement blueprint for an AI-assisted Kubernetes orchestrator. The blog also describes a roadmap for […] The post Optimizing Cloud Costs for DevOps With AI-Assisted Kubernetes appeared first on DevOps.com. View the full article
  15. With technology evolving in leaps and bounds, AI is shaping the future of digital transformation for every business seeking speed, scalability, quality and flexibility. Since DevOps is on the verge of delivering exceptional software development environments, DevOps in AI is undeniably the next breakthrough in technology. We’ve witnessed every industry racing toward the adoption of […] The post Leveraging AI in DevOps for Non-Linear Scaleup appeared first on DevOps.com. View the full article
  16. We are tired. Information overload is a problem in the modern world. We hear instantly about events we never would have known about otherwise, or that we would have learned about months after the fact. Today, moments after an event, we have thousands of “professionals” analyzing it for us, a millions-strong army of amateurs telling […] The post Filter the Firehose appeared first on DevOps.com. View the full article
  17. The AI Use Case Explorer is a business outcome centric web search tool that enables users to easily find the right artificial intelligence (AI) use cases, discover relevant customer success stories, and mobilize their teams towards AI deployments. The user friendly tool takes business problem descriptions as inputs and provides relevant, practical use cases and success stories as outputs. View the full article
  18. Organizations need a cloud platform that can securely scale from on-premises, to edge, to cloud while remaining open to change, choice, and customization. They must be able to run their applications wherever they need, on infrastructure optimized to process a very high volume of data with minimal delay, all while maintaining the satisfaction and stability of their ML-driven user experiences. At Google, we deeply understand these customer requirements, which is why we launched Google Distributed Cloud last year. With Google Distributed Cloud, we bring a portfolio of fully managed solutions to extend our infrastructure to the edge and into customers’ own data centers… https://cloud.google.com/blog/products/infrastructure-modernization/google-distributed-cloud-adds-ai-ml-and-database-solutions
  19. Microsoft is committed to the responsible advancement of AI to enable every person and organization to achieve more. Over the last few months, we have talked about advancements in our Azure infrastructure, Azure Cognitive Services, and Azure Machine Learning to make Azure better at supporting the AI needs of all our customers, regardless of their scale. Meanwhile, we also work closely with some of the leading research organizations around the world to empower them to build great AI. Today, we’re thrilled to announce an expansion of our ongoing collaboration with Meta: Meta has selected Azure as a strategic cloud provider to help accelerate AI research and development… View the full article
  20. San Francisco, CA, Rome, ITALY, May 16, 2022 — Exein is an innovative company and leading provider of Embedded Security Solutions for IoT Devices. With proprietary AI algorithms, their product detects and mitigates cyber threats to protect your customers and devices from malicious attacks. Pulsar is Exein’s modular agent framework that provides reactive defence capabilities with […] The post The World’s Most Advanced Embedded Security Solution appeared first on DevOps.com. View the full article
  21. AI-Powered Analytics Helps Organizations Expedite Review and Investigations. Tysons, VA, June 16, 2021 — Casepoint, a leader in cloud-based legal technology solutions, today announced that its built-in AI and advanced analytics technology, called CaseAssist, has been significantly upgraded to give users more insight and control over the analytics process with enhanced visualization capabilities and configuration templates. The enhancements […] The post Casepoint Unveils Latest Iteration of AI and Advanced Analytics Technology, CaseAssist appeared first on DevOps.com. View the full article
  22. Predict Signals Gives FP&A Teams Unmatched Confidence and Strategic Insight to Drive Greater Business Impact Redwood City, CA, June 9, 2021 – Planful Inc., the pioneer of financial planning, analysis (FP&A), and consolidations cloud software, today announced the launch of “Predict: Signals,” the first of a range of product releases in the Planful Predict portfolio, a […] The post Planful Debuts “Predict: Signals,” a Native AI and ML Anomaly Detection Technology for FP&A appeared first on DevOps.com. View the full article
  23. As businesses worked to stay afloat over the last year, innovation in many areas fell behind. Business leaders struggled to understand the short-term and long-term impact the COVID-19 pandemic would have on their business, while employees worried about losing their jobs and customers scrambled to rearrange budgets. As we near the end and can finally […] The post Why AIOps is Critical For Pandemic Business Recovery appeared first on DevOps.com. View the full article
  24. GitLab announced this week it has acquired UnReview, a provider of a tool that employs machine learning algorithms to both identify which expert code reviewers to assign to a project based on the quality of their previous efforts and current workloads. David DeSanto, senior director for product management at GitLab, said the acquisition of UnReview […] The post GitLab Acquires UnReview to Further AI Ambitions appeared first on DevOps.com. View the full article
  25. IBM this week announced its intention to spin out a new company next year focused primarily on managed infrastructure as part of a plan to focus more on hybrid cloud computing and artificial intelligence (AI) initiatives. IBM is combining the Red Hat assets it gained last year via a $34 billion acquisition with its investment […] The post DevOps Deeper Dive: IBM to ‘Maniacally Focus’ on Hybrid Cloud, AI appeared first on DevOps.com. View the full article
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