Set Up Your Account in 5 Steps | H2O.ai Managed Cloud

Set Up Your Account in 5 Steps | H2O.ai Managed Cloud

Video by H2O.ai via YouTube
Set Up Your Account in 5 Steps | H2O.ai Managed Cloud

Follow the full activation path for H2O.ai Managed Cloud, from the invitation email through multi-factor authentication to your first login.

Access to H2O.ai Managed Cloud runs through an External Okta account. This is the identity platform customers and partners use to reach H2O.ai environments and the support portal.

Before you start, your H2O.ai contact is the entry point. If you are evaluating the platform, request access at h2o.ai/demo or through a sales representative, and qualified opportunities may receive a time-bound sandbox. If you are already a customer, your account representative or customer success manager provides access.

Covered in this video:
Step 1: receive your invitation email and find the secure activation link
Step 2: activate your account
Step 3: set a password that meets the criteria
Step 4: configure multi-factor authentication with a security question and an authenticator app
Step 5: reach your environment from the access portal or a custom link

Activation links expire after a limited time. If yours has lapsed, contact your administrator or support@h2o.ai for a new one.

LINKS
H2O.ai University: https://h2o.ai/university
Documentation: https://docs.h2o.ai
Request access or a demo: https://h2o.ai/demo
Support: support@h2o.ai

ABOUT H2O.ai
H2O.ai builds the platform enterprises use to develop, deploy, and operate AI on their own private data, across predictive machine learning and generative AI.

#Okta #EnterpriseAI #H2Oai

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Agent Memory EXPLAINED – Complete Architecture

Agent Memory EXPLAINED - Complete Architecture

Video by Hugging Face via YouTube
Agent Memory EXPLAINED - Complete Architecture

Quick case study persistent memory for AI agents featuring Mem0. The architecture of long form memory for agents goes far beyond a vector search. This deep dive explains Mem0’s memory stores, ingestion pipeline, hybrid retrieval with semantic search, BM25 and entity boosting, plus practical open models for running the system locally.


šŸ”— *Links*
– Mem0 documentation: https://docs.mem0.ai/
– Mem0 source code: https://github.com/mem0ai/mem0
– Hugging Face models: https://huggingface.co/models
– Hugging Face embedding models: https://huggingface.co/models?pipeline_tag=feature-extraction
– MTEB leaderboard: https://huggingface.co/spaces/mteb/leaderboard


šŸ‘‹ *Connect with me*
– My website: https://alejandro-ao.com/
– X (Twitter): https://x.com/_alejandroao
– LinkedIn: https://www.linkedin.com/in/alejandro-ao/


šŸ¤“ *Topics Covered*
– Long-term memory architecture for AI agents
– Mem0 ingestion, storage and hybrid retrieval
– Local LLM and embedding model choices


ā±ļø *Timestamps*
0:00 Introduction
0:55 What agent memory is
3:28 Persistent memory across agents
4:26 Databases used by Mem0
8:06 Memory ingestion
15:30 Retrieval: queries and semantic search
19:19 Retrieval: BM25 and entity boosting
25:38 Open models and conclusion

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MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction – OpenCV Live! 221

MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction - OpenCV Live! 221

Video by OpenCV via YouTube
MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction - OpenCV Live! 221

Join Jason Ren of Ai2 (Allen Institute for AI) for MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction, a live look at how open multimodal models move past describing a scene to predicting where things go next. Building on the Molmo family’s pointing and tracking capabilities, MolmoMotion takes a plain-language instruction and forecasts point trajectories through 3D space, so the model answers by showing exactly where and when motion will happen. Expect live demos, a walk through the training data and recipe, and a discussion of what this opens up for robotics, video understanding, and embodied agents.

OpenCV is a 501(c)(3) registered non-profit in the United States. See how you can support open source CV & AI: http://opencv.org/support/

Watch along for your chance to win during our live trivia segment, and participate in the live Q&A session with questions from you in the audience.

Become a paid member of the channel to help us make more episodes https://www.youtube.com/channel/UCkrcW82Y2kbgU-U9RaYfgxw/join

Got a cool project of your own? Send it to us and you may be featured https://www.jotform.com/form/233105358823151

Thumbnail by Natalia de la Rosa natdlrs.com

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Lightning Talk: Using Keycloak Authorization Service for Kubernetes Service-to-Service… H. Ɩzkan

Lightning Talk: Using Keycloak Authorization Service for Kubernetes Service-to-Service… H. Ɩzkan

Video by CNCF [Cloud Native Computing Foundation] via YouTube
Lightning Talk: Using Keycloak Authorization Service for Kubernetes Service-to-Service… H. Ɩzkan

Don’t miss out! Join us at our next KubeCon + CloudNativeCon events in Shanghai, China (8-9 September, 2026) and Salt Lake City, United States (Nov 9–12, 2026). Connect with our current graduated, incubating, and sandbox projects as the community gathers to further the education and advancement of cloud native computing. Learn more at https://kubecon.io

Lightning Talk: Using Keycloak Authorization Service for Kubernetes Service-to-Service Authorization – Halil Ɩzkan, Keymate

Modern Kubernetes environments often centralize identity but still leave service-to-service authorization spread across
application code, gateway rules, and proxy-specific configuration. This session presents a practical pattern for using
Keycloak Authorization Services as a centralized authorization control plane while enforcing decisions at the platform
layer instead of inside each application.

The talk shows how Kubernetes workloads can remain unchanged while a mesh-level Policy Enforcement Point evaluates HTTP
requests using workload identity, request metadata, and centrally managed policy. The architecture uses Istio Ambient
mode, waypoint proxies, a WebAssembly-based enforcement extension, and a Keycloak-backed decision flow.

The session also covers allow and deny behavior, fail-closed handling, bypass-prevention requirements, observability
with OpenTelemetry, and the latency and reliability trade-offs that appear when Keycloak participates in the live
authorization path. A live demo shows both the enforcement path and the operational signals it produces.

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Celebrating Open Source Wins: Why Recognition Matters | David Shone

Celebrating Open Source Wins: Why Recognition Matters | David Shone

Video by FINOS via YouTube
Celebrating Open Source Wins: Why Recognition Matters | David Shone

David Shone (Senior Director, Data & Digital Solutions at ISDA) highlights why celebrating community achievements, milestone contributions, and open-source champions with tangible recognition drives real momentum across financial tech standards.

šŸ—½ Catch Us at OSFF New York! Meet global open-source leaders and industry champions at OSFF New York on November 4–5, 2026.
šŸŽŸļø Register Now: https://hubs.ly/Q04n_bZL0
šŸ”„ 20% OFF DISCOUNT CODE: 26YTOSFFNY20C

#Shorts #FINOS #ISDA #OpenSource #FinTech #DeveloperRecognition #CommunityGrowth

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From AI User to AI Builder: The Skills You Need to Build AI Agents and Workflows

From AI User to AI Builder: The Skills You Need to Build AI Agents and Workflows

Video by Open Data Science and AI Conference via YouTube
From AI User to AI Builder: The Skills You Need to Build AI Agents and Workflows

Most professionals are now using AI tools, but the next step is learning how AI systems, agents, and automated workflows are actually built. In this session, we’ll break down the core skills behind modern AI builders – from LLMs, prompting, context, memory, tools, retrieval, and evaluation to coding assistants, workflow automation, and agentic systems.

This session is designed for both technical and non-technical professionals. We’ll cover how developers are using tools like Codex, Claude Code, Cursor, and GitHub Copilot to build faster, while also looking at how managers, analysts, marketers, sales teams, product leaders, and operations teams can use AI agents and workflow tools to automate real work.

You’ll leave with a practical roadmap for moving from AI user to AI builder, including what to learn first, which concepts matter most, and how the ODSC AI Accelerator provides a structured hands-on path for going deeper.

Who should attend:
Ā AI practitioners, data scientists, analysts, software developers, ML engineers, data engineers, product managers, business leaders, operations teams, sales and marketing professionals, and anyone looking to build practical skills with AI agents and workflows.

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Open Source AI Heats Up: DeepSeek Harness, Alibaba’s Rise, and Security

Open Source AI Heats Up: DeepSeek Harness, Alibaba’s Rise, and Security

Introduction The open-source landscape is buzzing with activity, especially in the AI sector. From new developer tools like DeepSeek’s agent harness to Alibaba’s staggering download numbers, the ecosystem is evolving rapidly. This digest highlights the most impactful stories, offering insights into trends, security concerns, and the growing influence of Chinese tech giants. For developers and … Read more

Open Source Weekly: AI, Linux, & Cloud

Open Source Weekly: AI, Linux, & Cloud

Introduction This week’s open source news is a whirlwind of activity, from AI’s massive impact on cloud native tech to exciting developments in Linux desktop and gaming. A common thread emerges: the push for openness and community-driven innovation, even as big players like NVIDIA and OpenAI make moves. For those invested in open source, these … Read more