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AI

Beyond RAG basics: Advanced strategies for AI applications

Our recent virtual event with Cohere dove deep into the world of retrieval augmented generation (RAG), focusing on the critical considerations for building RAG applications beyond the proof-of-concept stage. Our speakers, Lily Adler, principal solutions architect at Elastic, and Maxime Voisin, senior product manager at Cohere, shared valuable insights on the challenges, solutions, and best practices in this evolving field of natural language processing (NLP).

Harness GenAI to enhance IT incident management

Advances in generative AI are rapidly transforming the IT operations landscape. According to Enterprise Strategy Group, 85% of organizations use or plan to deploy AI across many functional areas, including ITOps. AIOps platforms can apply advanced GenAI to quickly identify an incident’s root cause, impact, and recommend steps to resolution. When fed the correct information, AIOps gives IT teams immediate access to context-rich insights.

The 8 Best AI Tools for Productivity in 2024

Since the launch of ChatGPT in November 2022, the world has seen a huge shift in our personal, business, and creative lives. Although we often use AI daily, its addition to our lives has not been without problems. It has caused writer strikes and worries about how AI handles our data and what it means for privacy, and many people are worried about AI taking over their jobs.

AI in Telecommunications: Opportunities, Challenges, and the Role of Resolve

Artificial Intelligence (AI) is rapidly becoming an essential component of the telecommunications industry, driving significant changes in how networks are managed, optimized, and maintained. With the growing complexity of telecom networks, coupled with the rising demand for seamless connectivity, AI offers a range of solutions to address these challenges. From predictive maintenance and network optimization to enhancing customer service, AI is poised to transform telecom operations.

AI Summer Camp | Episode 4: AI on public cloud with open source

Welcome to AI Summer Camp. Join 5 essential trainings on AI from Canonical experts and level up your skills while on holiday. Episode 4: AI on public cloud with open source This will cover: Scenarios in which open source tooling on public cloud solves a problem for AI initiatives Main benefits of using open source tooling on the public cloud for AI projects Use cases from our customers Hybrid cloud and multi cloud opportunities for AI projects.

AI Summer Camp | Episode 5: AI on private cloud in the hyperscalers era

Welcome to AI Summer Camp. Join 5 essential trainings on AI from Canonical experts and level up your skills while on holiday. Episode 5: AI on private cloud - why is it relevant in the hyperscalers era? This will cover: Why consider a private cloud for AI? Key considerations when building a private cloud for AI projects Performance acceleration options for private cloud Guidance for Kubernetes on OpenStack for AI initiatives.

Monitor your Anthropic applications with Datadog LLM Observability

Anthropic is an AI research and development company focused on building reliable and safe artificial intelligence systems. Their flagship product is Claude, an advanced language model and conversational AI assistant known for its strong capabilities in natural language processing, reasoning, and task completion. Anthropic places a particular emphasis on AI safety and ethics, and its models and APIs are used by organizations across various industries to build powerful, safe, and performant AI applications.

Unlocking MSP Efficiency With AI

In this episode of the Beyond the Horizon podcast, N-able’s Andrew Burton and Stefan Voss discuss the role of AI and machine learning in backup products for MSPs. They highlight the importance of technician efficiency and the need for tools that can help MSPs do more with less. They specifically focus on the addition of machine learning capabilities to recovery testing in COV and how it improves accuracy and efficiency. They also address concerns about AI adoption and emphasize the importance of responsible use and partnering with the right vendors.