Name: Vector databases for generative AI applications
Start: 2024-08-07T15:00:00Z
End: 2024-08-07T15:00:39.000Z
Location: BrightTALK
Rating: 0

Get the most in depth information about the Ubuntu technology and services from Canonical. 

Learn why Ubuntu is the preferred Linux platform and how Canonical can help you make the most out of your Ubuntu environment.

In this webinar, Henry Coggill will showcase USG (the Ubuntu Security Guide) and demonstrate how it can automate compliance requirements. We will discuss the hardening profiles that are available, including DISA-STIG and CIS benchmarks, then cover setting up and configuring the tool and demonstrate the configuration options that you can make for maximum security and coverage of the STIG rules.

USG is available with an Ubuntu Pro subscription, and we will show you what extra features and capabilities that are included with Pro, such as extended security vulnerability patching and FIPS-140 certified crypto modules.

STIG hardening on Ubuntu 22.04 with Ubuntu Security Guide

Confidential computing is a revolutionary technology that disrupts the conventional threat model of public clouds. In the past, vulnerabilities within the extensive codebase of the cloud’s privileged system software, including the operating system and hypervisor, could pose a constant risk to the confidentiality and integrity of code and data in operation. Likewise, unauthorized access by a cloud administrator could compromise the security of your virtual machine (VM). 

To protect your data and code against such threats on Google Cloud, Ubuntu Confidential VMs (CVMs) offer enhanced security for your workloads by utilizing hardware-protected Trusted Execution Environments (TEEs). To achieve such strong security guarantees, Ubuntu Confidential VMs build on Intel’s innovations at the silicon level, and the foundation laid by Intel® Trust Domain Extensions (Intel® TDX), now available through Google Cloud.  Ubuntu also offers further primitives to further secure your CVMs at rest, and offer a strong remote attestation.  

Come join this webinar to learn about the great engineering that goes into making Ubuntu confidential VMs with Intel TDX on Google Cloud, and how you use them to implement a zero trust strategy for your security-sensitive application.

Exploring Ubuntu Confidential VMs with Intel TDX on Google Cloud

Across the world, the application of Artificial Intelligence and Machine Learning (AI/ML) to business challenges is a hot topic. But, what does it mean for storage systems, and how can open source storage answer those needs? Without data, and speedy access to it, AI solutions might not deliver the results as quickly as expected, delaying insights and innovation. Canonical Ceph is a great example of a highly scalable open source storage solution that can be used to back modern AI/ML workflows and unlock the full potential of your AI ecosystem.
In this webinar we will explore typical use cases for external storage for AI systems, the workflows, the impact AI has on storage systems, and also the impact that storage systems can have on your AI jobs.

AI Storage with Ceph

Welcome to AI Summer Camp. 

Join 5 essential trainings on AI from Canonical experts and level up your skills while on holidays. 

 

Episode 5: AI on private cloud - why is it relevant in the hyperscalers era?

The webinar 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

AI on private cloud - why is it relevant 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 holidays. 

 

Episode 4: AI on public cloud with open source

The webinar 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 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 holidays. 

 

Episode 2: Kubeflow VS MLflow

Which one should you choose for Machine Learning Operations? Join a panel discussion to learn about: 

Production-grade MLOps 

Open-source MLOps 

Community-driven ML tooling 

Kubeflow vs MLFlow; Pros and Cons

Kubeflow vs MLFlow

Welcome to AI Summer Camp. 

Join 5 essential trainings on AI from Canonical experts and level up your skills while on holidays. 

 

Episode 1: How to build LLMs with open Source? 

This webinar will cover: 

What large language models are 

How to overcome adoption barriers of LLMs within your enterprise 

Use cases of LLMs 

Guidance to build projects using LLMs

How to use open source to build LLMs

How to build LLMs with open source?

There are benefits to using a specialised database for every new use case you need to support. For example, we can make a case for using a graph database to manipulate graph data, or a specialised vector database to manage vectors. Yet, multiplying your data stores comes with consistency, cost and operability issues that you need to consider carefully.

PostgreSQL is built from the ground up to be extensible, so you can choose from over 1000 extensions to cover more use cases with the same solution – saving you time and resources.

In this webinar, we will examine the use cases you can meet with just PostgreSQL.We will cover the following:
Analytics 
Online transaction processing 
Geospatial data
Graph data 
Search and similarity
AI and ML 
Time Series and more

How many use cases can you cover with PostgreSQL extensions?

If you’re a technology channel organization, you and your customers are probably considering  alternatives for virtualized environments amid shifting market forces, escalating costs, and vendor realignment. The solution needs to be cost-efficient while providing comparable technical capabilities to the status quo. In this webinar, you’ll learn how Canonical (the company behind Ubuntu) fills that need and the ease of reselling the solution. 

Open source private clouds can offer alternatives for everything in your customers’ stack. From virtualization to Hypervisor to storage and more. Canonical offers a cost-effective open source cloud approach that provides a rich set of capabilities and a migration path from existing cloud environments. 

This webinar is for technology companies in the channel that are proactive in creating better solutions for their customers and whose customers are struggling with finding alternatives to their current virtualized environments. Canonical wants to help you get in front of customers with solutions that will free them from the lock-in of legacy Hypervisor vendors.

In this webinar you’ll learn:
- The capabilities of Open Source Private Cloud compared to alternatives
- Reselling Open Source Private Cloud solutions to your customers
- Price Point Comparison between Canonical and alternatives
- The growth of open source for clouds

Private Cloud Alternatives for Channel Partners

Deploying a PostgreSQL instance on Ubuntu is as simple as running a single command (i.e. sudo apt install postgresql-<version>). Yet, running a single instance of PostgreSQL is a recipe for downtime and reputation damage to your company.

To run a highly available PostgreSQL deployment you need to leverage several techniques such as replication, automatic failovers, failure isolation and backups. 

In this webinar, we will examine advanced techniques to implement fail-safe replication and automatic fail-overs. We will cover the following:
Replication techniques
Automatic fail-over techniques on client and server side
Demo

A deep dive into PostgreSQL replication and automatic failover techniques

If you’re a technology channel organization, you and your customers are probably considering  alternatives for virtualized environments amid shifting market forces, escalating costs, and vendor realignment. The solution needs to be cost-efficient while providing comparable technical capabilities to the status quo. In this webinar, you’ll learn how Canonical (the company behind Ubuntu) fills that need and the ease of reselling the solution. 

Open source private clouds can offer alternatives for everything in your customers’ stack. From virtualization to Hypervisor to storage and more. Canonical offers a cost-effective open source cloud approach that provides a rich set of capabilities and a migration path from existing cloud environments. 

This webinar is for technology companies in the channel that are proactive in creating better solutions for their customers and whose customers are struggling with finding alternatives to their current virtualized environments. Canonical wants to help you get in front of customers with solutions that will free them from the lock-in of legacy Hypervisor vendors.

Often, the advantages for you are the same advantages that customers get:
- Flexibility in your solution portfolio 
- Lower Total Cost of Ownership for customers at a crossroads with current providers
- Enterprise grade security for Open Source software packages beyond Ubuntu
- Greater profitability for your business 
- No vendor lock-in which provides flexibility for your customers

Canonical recently announced the availability of the latest version of Real-time Ubuntu and its availability on Raspberry Pi hardware. In this webinar we’ll be discussing:

Real-time fundamentals:
- Key use cases across different market segments
- The role of PREEMPT_RT patchset in enhancing predictability
- RTOS, low latency or real-time Linux?

Understanding Real-time Ubuntu 24.04 LTS:
- Latest developments in Real-time Ubuntu 24.04 LTS
- Support for Raspberry Pi 4 and 5
- Long-term Support and security

Join the webinar for a comprehensive look at the core concepts behind real-time systems and the PREEMPT_RT patch set. You will learn about the latest features and optimisations for Raspberry Pi hardware and discover how Real-time Ubuntu 24.04 LTS can enhance the performance and reliability of your applications. 

Reserve your spot now.

Discover real-time kernel on Ubuntu 24.04 and Raspberry Pi

On June 4th we released Ubuntu Core 24, the fifth release of Canonical's immutable, production-grade operating system designed for deploying embedded systems.

In this webinar, we will introduce Ubuntu Core, give you an overview of how it works and its use cases, and dive into each of the new features that come with this most recent release. 

Join us and discover:
- Everything you need to know about Ubuntu Core; from its architecture to its tooling. 
- A recap of the latest features of Ubuntu Core 24; including device management and graphics support. 
- How Ubuntu Core 24 enable companies to deploy cybersecurity-compliant solutions. is the embedded operating.

An Introduction to Ubuntu Core 24

Each type of NoSQL database offers unique strengths and is suited to specific types of applications and data requirements, making them versatile tools in modern data management. Many of them are compatible with an open source approach, giving you advantages such as the acceleration of innovation, flexibility, customisation, and community support. There are also innovations in the space where databases can run in a multi-cloud environment. 
However, these features and benefits come with their own set of challenges, and operating database clusters can be difficult. In addition, databases need to be integrated within a stack of technologies, such as the infrastructure it is deployed on and other data and AI tools. Faced with these and other challenges (like unpredictable costs and industry skill gaps), companies are finding it increasingly difficult to achieve operational excellence with an in-house team to manage databases. This is why they turn to managed service providers (MSPs).

In this webinar, Canonical product managers Michelle Tabirao (NoSQL Databases) and Adrian Matei (Managed Services) will dive into what operational excellence means for NoSQL Databases, and how this can be achieved with a managed service provider. We will explore: 

1) Introduction and main advantages of adopting NoSQL databases
2) Big data and AI use cases that leverage non-relational databases
3) Operational excellence in NoSQL Databases, from key operations to holistic approaches 
4) Benefits and challenges when choosing a managed service provider for your NoSQL database operations 
5) Future of NoSQL databases

Join us on the 18th of June 2024 for 30 minutes of expertise in NoSQL operations!

Managed NoSQL databases for big data and AI-powered applications

Data Science Stack (DSS) is an out-of-the-box solution for data scientists and machine learning engineers, published by Canonical. It is a ready-made environment for ML enthusiasts that enables them to develop and optimise models without spending time on the necessary underlying tooling.  It is designed to run on any AI workstation that runs Ubuntu, maximising the GPU’s capability and simplifying its usage.

Join us in our next webinar to learn more about data science tools, with a focus on DSS and its capabilities. During the webinar, Michal Hucko, MLOps engineer at Canonical and Andreea Munteanu, AI Product Manager, will talk about:

Key considerations when getting started with data science
Data science through the open source lenses
Deep dive into Data science stack (DSS)
Demo of the DSS

Prepare your questions and join us live to get insights into how DSS improves the developer experience of Ubuntu users who are active in the data science or ML space.

Data science tools on Ubuntu: how can you quickly get started?

AI Summer Camp

Welcome to AI Summer Camp. 

Join 5 essential trainings on AI from Canonical experts and level up your skills while on holidays. 

 

Episode 3: Vector databases for generative AI applications

Join us for a deep dive into the role of vector databases in generative AI applications. This webinar will cover:

The role of vector databases in Generative AI and retrieval augmented generation (RAG)

The importance of search engines

Efficient open source tooling that enables developers and enthusiasts to build their generative AI applications

Vector databases for generative AI applications

Generative AI

Data Analytics

Machine Learning

Database Management

Vector Database

LLMs

Large Language Models

AIOps

Cloud computing has exploded over the past few years, delivering a previously unimagined level of workplace mobility and flexibility. The cloud computing community on BrightTALK is made up of thousands of engaged professionals learning from the latest cloud computing research and resources. Join the community to expand your cloud computing knowledge and have your questions answered in live sessions with industry experts and vendor representatives.

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Application Management

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End User Computing

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Vector databases for generative AI applications

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