Videos

Video by SAP via YouTube

Discover the top 5 new SAP Analytics Cloud features in the Q3 2026 release and what they mean for analytics, planning, and financial reporting teams who need faster insight, more intuitive workflows, and more flexible analysis.

In this short expert overview, Orla Cullen (Product Marketing Manager – Data & Analytics) walks through the biggest innovations in the quarterly release cycle, starting with new out-of-the-box visualizations. You’ll see how teams can quickly transform existing charts into Gauge, Funnel, and Sankey visualizations to monitor KPIs, identify pipeline drop-off points, and understand financial flows at a glance.

Here’s what’s new this quarter:
• New Out-of-Box Visualizations: Use Gauge, Funnel, and Sankey charts, plus a new QuickBuilder, to create clearer KPI, pipeline, and financial flow analysis.
• New AI-Assisted Features: Generate concise AI prompt insights and use natural language to create story scripts without writing code manually.
• Compass Updates: Use smart boundaries and Compass widgets to run simulations, compare scenarios, and view actuals, plans, and probable outcomes in one place.
• Excel-Like Search: Bring a familiar find experience into SAP Analytics Cloud tables with search, replace, update, and preview capabilities across major filter contexts.
• Data Action Data Filters: Pass multiple input controls and story filters into a single parameter, including date ranges, attribute-based filters, and explicit excludes.

Chapters:
00:00 Intro
00:45 New Out-of-Box Visualizations
03:03 New AI-Assisted Features
05:59 Compass Updates
08:12 Excel-Like Search
09:46 Data Action Data Filters
10:59 Outro

For more on SAP Analytics Cloud visit https://sap.to/6057B1jO6c
Read more on the blog: https://sap.to/6058B1jO6Y…

Follow us on social:
LinkedIn: https://sap.to/6059B1jO6l
Instagram: https://sap.to/6050B1jO6m
Facebook: https://sap.to/6051B1jO6W
Threads: https://sap.to/6052B1jO6o

About SAP:
As a global leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit: https://sap.to/6053B1jO6U

#SAPAnalyticsCloud #Analytics #Planning

Source

Video by TWiT Tech Podcast Network via YouTube

MacBreak Weekly covers all things Apple: Leo, Andy Ihnatko, Jason Snell, and Christina Warren analyze every bit of news from the most interesting company in tech. From AI to Vision Pro, iPad to iPhone, these Apple experts know-all and tell-all.

You can find more about TWiT.tv and subscribe to our full shows at https://podcasts.twit.tv
Join our community at Club TWiT: https://twit.tv/clubtwit

About us:
TWiT.tv is a technology podcasting network located in the San Francisco Bay Area with the #1 ranked technology podcast This Week in Tech hosted by Leo Laporte. Every week we produce over 30 hours of content on a variety of programs including Tech News Weekly, MacBreak Weekly, Windows Weekly, Security Now, Intelligent Machines, and more.

Source

Video by The Linux Foundation via YouTube

The Cap(AI)bility Edge: Why Workforce Upskilling Is Becoming the Defining Competitive Advantage of the AI Era

Sponsored by LF Education, LF Research, & KodeKloud

AI is reshaping the technical workforce faster than most organizations can respond. But the story playing out in the headlines about AI eliminating jobs, shrinking teams, and displacing developers, is not the story the data tells.

The 2026 State of Tech Talent Report reveals a different reality: AI is a net driver of job creation in IT (+31% net hiring effect in 2026), and the organizations struggling most are not struggling because they can’t find people. They’re struggling because they lack the capAIbility to deploy AI safely, securely, and at scale.

Security concerns have jumped from the last-place barrier to technology adoption in 2024 to the number-one barrier in 2026. Most organizations haven’t deployed the foundational infrastructure AI requires. And the talent gap is not just in AI, it runs across the full stack: platform engineering, DevOps, cloud native, and cybersecurity.

The organizations pulling ahead aren’t the ones buying more AI tools. They’re the ones investing in workforce capability, developing their existing people, preserving institutional knowledge, and building the validated, job-ready skills that production AI actually demands.

Source

Video by H2O.ai via YouTube

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

Source

Video by OpenAI via YouTube

ChatGPT Work keeps projects moving. Monitoring what matters, surfacing what needs attention, and picking up where your team leaves off.

Source

Video by Hugging Face via YouTube

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.

—
🔗 *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

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

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

—
⏱️ *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

Source

Video by OpenCV via YouTube

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

Source

Video by CNCF [Cloud Native Computing Foundation] via YouTube

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 Özkan, 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.

Source

Video by FINOS via YouTube

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.

🗽 Catch Us at OSFF New York! Meet global open-source leaders and industry champions at OSFF New York on November 4–5, 2026.
🎟️ Register Now: https://hubs.ly/Q04n_bZL0
🔥 20% OFF DISCOUNT CODE: 26YTOSFFNY20C

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

Source

Video by Open Data Science and AI Conference via YouTube

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:
 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.

Source