Artificial Intelligence in the Cloud - Comparing Google Vertex AI vs. Amazon Sagemaker

Cloud solutions make it easier for businesses to manage, track, and move their apps, files, and other resources to the cloud without having to deal with many obstacles.

Several benefits exist for moving to the cloud, including increases in scalability, security, and flexibility, as well as decreases in cost and environmental effects.

Artificial Intelligence in the cloud enables businesses to train, test, and deploy deep learning models using cloud infrastructure and services. The leading cloud providers are Amazon AWS, Google GCP, and Microsoft Azure. All three providers provide quality, highly scalable and secure cloud solutions and a huge set of cloud services.

This article focuses on cloud artificial intelligence services, specifically Google Vertex AI, and Amazon Sagemaker. Microsoft Azure also provides AI services through Azure AI, which I would also recommend, but for this article we will focus on Google Vertex AI, and Amazon Sagemaker.

Google Cloud Platform (GCP)

The Google Cloud allows you to host virtual machines (VMs) on a wide variety of hardware and operating systems through their Compute Engine. VMs can be used to host your website, web applications, or other services, and provide you terminal OS access to most Linux based operating systems. You can also enable ssh to allow remote access to your VM from your own computer.

Google Cloud makes it easy to create, start, and stop a VM, and billing is charged by the minute, which makes it easy to run experiments or tests on high end hardware with keeping costs low.

Google provides disk, image, and snapshot resources within its Compute Engine. Files can also be stored in Google Cloud Storage to allow network access and sharing of files.

Google Vertex AI 

Google Vertex AI provides a cloud service to make it easier to train, test, and deploy deep learning models in the cloud.

Vertex AI provides AutoML as an easy way for non developers to start training a model. AutoML supports a UI for training models for image, tabular, text, and video. This provides an easy way to get started, but for most projects you will want a lower level of configuration through code.

Python is the overwhelmingly dominant language for deep learning. Most deep learning models are based on Python frameworks such as TensorFlow, PyTorch, or Apache MXNet. Python can be either through a terminal and your favorite code editor, or through Jupyter Notebooks. Jupyter notebooks provide a web based UI for editing and running Python scripts.

Vertex AI provides a Jupyter notebook based environment through Vertex AI Workbench. Vertex AI Workbench makes it easy to create and share Jupyter notebooks with your team.

Vertex AI is mainly geared to training models using TensorFlow Enterprise, but do also support creating VMs configured for PyTorch.

Once you have trained your model, you can deploy it using Vertex AI endpoints. Vertex AI endpoints provide a way to enable access to your model as a cloud service.

Vertex AI allows you to train models using very high end GPU and TPU servers. This is the main advantage of cloud AI, as most development organizations do not have their own high end GPU hardware, and training high models on traditional hardware is not feasible.

Amazon Web Service (AWS) 

AWS allows you to host virtual machines (VMs) on a wide variety of hardware and operating systems through their EC2 service. VMs can be used to host your website, web applications, or other services, and provide you terminal OS access to most Linux based operating systems. You can also enable ssh to allow remote access to your VM from your own computer.

AWS makes it easy to create, start, and stop a VM, and billing is charged by the minute, which makes it easy to run experiments or tests on high end hardware with keeping costs low.

AWS provides disk, image, and snapshot resources within its EC2. Files can also be stored in AWS S3 to allow network access and sharing of files.

Amazon Sagemaker

Amazon Sagemaker provides a cloud service to make it easier to train, test, and deploy deep learning models in the cloud.

Sagemaker provides Jumpstart as an easy way for non developers to start training a model. Jumpstart supports a UI for training a wide variety of different models including image, tabular, text, and video. This provides an easy way to get started, but for most projects you will want a lower level of configuration through code.

Sagemaker provides a Jupyter notebook based environment through Sagemaker Studio. Sagemaker Studio makes it easy to create and share Jupyter notebooks with your team.

Sagemaker is more framework agnostic than Google, and provides Jumpstart models and VM configuration for Apache MXNet, PyTorch, and TensorFlow. Most of their Jumpstart models tend to be based on Apache MXNet.

Once you have trained your model, you can deploy it using Sagemaker Edge Manager. Edge Manager endpoints provide a way to enable access to your model as a cloud service. Sagemaker also provides a service Sagemaker NEO for deploying your model to various hardware and devices.

Sagemaker allows you to train models using very high end GPU servers. This is the main advantage of cloud AI, as most development organizations do not have their own high end GPU hardware, and training high models on traditional hardware is not feasible

Bot Libre and the Cloud 

Although cloud providers do their best to make it easy to start a cloud AI project, cloud platforms and services are still very complex environments with a huge amount of different services to understand, and AI in general is a complex subject. Bot Libre and Paphus Solutions have many years of experience in cloud services, cloud AI, and AI and deep learning. If you are considering a cloud AI project, we can help you get started and develop your service through our development services.

The Bot Libre Enterprise Platform provides a cloud agnostic solutions for chatbots, AI, and deep learning services. Bot Libre can be deployed to Google GCP, Amazon AWS, Microsoft Azure, and many other lower cost cloud providers. Bot Libre and Paphus Solutions also provide cloud AI development services either using the Bot Libre platform, Vertex AI, Sagemaker, as well as custom Python projects.

For all your development and cloud AI needs, contact Bot Libre at sales@botlibre.com

Phygital — Create More Immersive Experiences

 You can be in your small one-bedroom apartment and host a dinner party in the Maldives, you can sell products from your garage but have customers buy from a lavish top-tier storefront on the East Coast, and you can host hundreds of thousands of people from all over the world at a conference from a small office cubicle.

Such is the meaning of “phygital,” the fusion of the physical and digital world to offer an enhanced experience, and it’s the engine that will drive businesses to the metaverse.

Benefits of a Phygital Experience

Personalized experiences — your customers’ and guests’ experiences can be customized to their personality, industry, preferences, and even previous online habits. Unlike entering a physical space, where it’s a “one size fits all” experience, a phygital approach brings your product, service, or event alive in new and exciting ways for each person.

Sustainability — Inventory management and waste management are major issues for traditional retail stores. Retailers can significantly reduce this problem. Also, for entertainment and business events, overhead costs would be far less, and there would be less depreciation on the environment.

Invest in Phygital, Invest in the Metaverse

The concept of this extended reality (XR) that is achieved through phygital, calls for a greater leveraging of AR and VR expertise. This is due to the metaverse’s impending arrival, allowing phygital to use hybrid virtual places to enhance and augment the physical experience.

The Bot Libre Metaverse Enterprise allows a diverse set of businesses in health, retail, finance, and gaming to engage with the metaverse. By joining the Beta Program, members can work with and alongside a team of AI and metaverse experts from Canada, Asia, and the Caribbean to develop their business solutions that are suitable for the metaverse.

If accepted to the program, individuals will benefit from the following assets in building their metaverse space.

• 3D/VR website
• 3D Android & iOS app
• VR Quest app
• Custom 3D avatar
• Custom 3D space
• PLUS integration with blockchain, cryptocurrencies, and NFTs

For persons interested in participating in this dynamic program, contact sales@botlibre.biz.

If you liked this article let us know and don't forget to share!

How to Connect a Bot to Facebook

Keeping up with social media and keeping your online community engaged can be a time-consuming task. Through Bot Libre you can automate your Facebook presence with your own Facebook bot. Any Bot Libre bot can be connected to a Facebook account, page, and Facebook Messenger. The bot will reply to your user's questions in real-time using the responses of the script you have trained your bot with.

 

Connecting a bot to Facebook is quick and easy, This "how to" gives you a step-by-step process to connect your bot to Facebook.

 

 

 

Step 1 - Create your Facebook page.

 

A Facebook page is required. If you already have your Facebook page, you can skip this step.

 

First, you need to visit https://www.facebook.com/ and log in to your Facebook account. After you log in, you will find the "Pages" option on the left side menu. Click it, it will lead you to "Pages and profiles" page.

 

 

Once you get into the "Pages and profiles" page, click the "Create new Page" button on the left side.

 

Fill the page name, category, and description, then create the page. You can fill out the details for your page later.

 

 

Now you have your own Facebook page. You can move on to the next step.

 

 

 

Step 2 - Create your own bot.

 

You will need to create a bot to connect with your Facebook Page and app. You can follow the instructions here to create your bot: How to create your own chat bot in 10 clicks

 

From the Bot Libre website, browse your bot. Go to the Admin Console by clicking on the gear icon or "Admin" button at the bottom.

 

 

In the Admin Console, click on "Facebook" to take you to a screen to configure your Facebook settings. 

 

 

 

 

Step 3 -Authorize your bot to Facebook.

 

You can simply click the "Authorize" button on the Facebook setting page.

 

 

If you have not login to Facebook, it will lead you to the Facebook login page.

Otherwise, you can continue with your Facebook account and select your Facebook page.

If you have previously linked Bot Libre to Facebook, you can click "Edit Settings" to change the page and permission.

 

 

That's it, your bot is now authorized.

 

 

 

If you have multiple Facebook pages, you can choose your desired page from the Facebook page dropdown menu.

 

Step 4 - Connect your bot to Facebook.

 

If you successfully authorized your bot, you can now simply click the "Connect" button to connect to your Facebook.

 

 

After connecting to Facebook, you can configure your bot's Facebook page properties and Messenger properties.

 

 

 

 

That's it, Congratulations! With 4 simple steps, Your bot is now connected to Facebook.

 

 

 

 

(Optional) Use your custom Facebook app.

 

If you wish, you can connect your bot to your own custom Facebook app.

This step is completely optional and a custom app is not required.

 

Go to http://developers.facebook.com and click "My apps" on the top right corner.

 

 

Click "Create app" to create your Facebook app.

 

 

Select your app type.

 

 

Fill the basic info of your app and create it.

 

 

Select your app, then open the app setting - Basic from the left pane.

Under the basic setting, you need to copy the "App ID" and "App secret", we will need them later.

 

 

Scroll to the bottom of this screen and click the 'Add Platform' button.

 

 

Select platform "Website"

 

 

Enter "https://www.botlibre.com" and save changes.

 

 

Click the "Add Product" button on the left pane and add "Facebook Login" to Products.

 

 

Skip the Quickstart, just click the "setting" under 'Facebook Login" on the left pane.

Enter "https://www.botlibre.com/facebook" into the 'Valid OAuth Redirect URIs' field then click the "Save Changes" button.

 

 

Now you can go back to bot's facebook setting page and select "Use custom Facebook App" checkbox.

Enter the "App ID" and "App secret".

 

 

Now you are good to go. You can go back to the first step and finish the connection. 

Congratulations, you have now connected your bot to Facebook Messenger. Now you can train your bot's responses and review its conversations from its "Training & Chat Logs" page in its Admin Console. If you encountered any issues, or would like our help setting up your bot please email us at support@botlibre.com or upgrade to our Platinum service and we can build your bot for you.

The AI and Chatbot Platform for the Metaverse - Bot Libre 9.5

 

Bot Libre is a community of over 500,000 registered users, including businesses from industries such as medical, e-commerce, education, banking and gaming. Through our platform, businesses have engaged their customers everywhere, on web, mobile, social media, phone, IOT, and the Metaverse. 

In order to offer a faster, better and more seamless experience, Bot Libre has updated its website to the 9.5 series. 

This new release includes:

• redesigned sidebar user interface

• simplified single app Facebook integration

• redesigned speech API, improved support for Google Speech, and Microsoft Speech

Benefits of Bot Libre’s Platform 

The chatbot and AI market has become increasingly saturated and while this creates a variety of options, it has also brought about some confusion. Bot Libre can make it easy for you.

Metaverse Update

Another key development in the Bot Libre services includes the availability for businesses to engage their customers in the metaverse through the Bot Libre Metaverse Enterprise Program. 

With AI, the possibilities are endless. If you are an AI, chatbot and metaverse enthusiast, looking to build, participate and grow wealth from all the offerings of web3.0, then join today! To indicate your interest email sales@botlibre.com.