Neural Networks for Presentations: Overview and Comparison
Infrastructure
22.09.2025
8 min read
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Since the advent of the first neural networks, it was believed that they would only work with text. However, progress does not stand still, and today neural networks not only generate text but also work seamlessly with photos, videos, and graphics. Yet, this is not the limit of artificial intelligence capabilities.
One such capability is creating presentations. Previously, users had to manually create presentations using various office programs such as Microsoft PowerPoint, LibreOffice Impress, OpenOffice Impress, Apple Keynote, Google Slides, and others. But with the development of AI, users now only need to compose a simple text query specifying the topic and parameters for the future presentation, or use one of the ready-made templates for quickly generating complete presentations.
Today we will review MagicSlides (GPT for Slides), Plus AI, Gamma, SlidesGo, SendSteps, and Pitch.
Basic Features of AI Presentation Generators
Each of the AI presentation software reviewed in this article has basic capabilities, including:
- Free trial period.
- Support for multiple languages.
- Presentation creation using prompts (text queries).
- A wide variety of templates.
- Generated presentations are suitable for different tasks, ranging from creating educational materials to business applications.
MagicSlides (GPT for Slides)
An AI-powered plugin integrated with Google Slides. It allows users to quickly create professional presentations using text, PDFs, and YouTube videos. Before generation, users can set their own parameters, such as color scheme, font, and style.
Advantages:
- Slide creation from various sources, including plain text, web pages, YouTube videos, and PDF files.
- Integration with Google Slides without the need to install or configure third-party services.
- Presentations are generated in 2-3 minutes.
Disadvantages:
- Limited usage: the plugin only works with Google Slides and cannot be used independently or with other services.
- Limited customization: despite basic functions such as color and style selection, MagicSlides offers a limited range of templates and layouts, lacking advanced tools for graphic editing and animation.
- Generation quality depends heavily on the accuracy of the entered prompt and the detail of the specified topic.
Plus AI
Plus AI is an AI-powered tool for creating presentations in Google Slides and PowerPoint. Users simply enter a text query in any language, and the service generates a ready-made presentation.
Advantages:
- Simple integration with Google Slides and Microsoft PowerPoint, provided as a ready-to-use plugin.
- Intuitive interface and easy operation, suitable for both beginners and professionals.
- Snapshots feature: embeds dynamically updating data snapshots from web pages or other sources into presentations.
Disadvantages:
- Limited trial: the free trial lasts only 7 days and requires a credit card to start.
- Limited usage: Plus AI works only with Google Slides and Microsoft PowerPoint.
- Weak customization: limited flexibility for configuring specific templates.
Gamma
An AI-based platform designed to simplify presentation creation. The developers position the service as an alternative to Microsoft PowerPoint, offering a more flexible and interactive approach to visualizing ideas. It has numerous features and integrations with third-party services.
Advantages:
- Create presentations from various sources, including Word, PDF, PowerPoint files, or URLs.
- One-Click Polish: automatically improves slide design and formatting to make them professional without manual adjustment.
- Collaborative features: users can work on presentations in real time, including editing, commenting, and suggesting changes.
- Multimedia support: allows adding GIFs, videos, and charts.
- Built-in analytics: tracks views and audience engagement during presentations.
- Over a dozen integrations with third-party services, including Microsoft Word, Microsoft 365, PowerPoint, Typeform, Google Slides, Google Docs, and Google Drive.
Disadvantages:
- Results depend on the prompt: the best outcomes require highly precise prompts.
- Export issues to PowerPoint: formatting errors can occur, including overlapping elements and unsupported fonts.
SlidesGo
A popular platform for creating presentations, offering a wide range of professionally designed templates for Google Slides, Canva, and PowerPoint. It has a simple and clear web interface.
Advantages:
- Extensive template library: more than a thousand templates for any topic, both free and premium.
- Cloud access: work on presentations across multiple devices.
- AI Lesson Plan generator: a section specifically for teachers to generate educational content for schools and universities.
Disadvantages:
-
Template quality: some templates may appear outdated or poorly designed.
SendSteps
An AI-powered tool for creating interactive presentations. Simplifies preparation for educational, business, and conference purposes, saving time through automation of content, design, and interactive elements.
Advantages:
- Focus on education: provides many ready-made templates for schools and universities, helping teachers save preparation time. Interactive quizzes enhance student engagement.
- Support for interactive elements: live polls, quizzes, Q&A sessions, and voting can be included in presentations.
- Unique content generation: includes a built-in plagiarism checker to ensure content originality.
Disadvantages:
- Technical issues: generation or interactive features may sometimes fail.
- Limited free version: allows creating only two presentations, in English only, with restrictions on interactive content.
Pitch
An AI-powered presentation tool positioned as a competitor to Microsoft PowerPoint and Apple Keynote. It is designed with a focus on simplicity, collaborative work, and stylish design.
Advantages:
- Simple and intuitive interactive editor with full customization: when creating a presentation, users can fully customize the background, color scheme, and fonts.
- Collaboration features: presentations are stored in a shared workspace, allowing users to manage access and coordinate actions with others.
- Wide selection of templates: includes a large library of templates for different purposes, including corporate templates. Templates can be easily customized if needed.
- Cloud synchronization: allows work on presentations from any device.
- Official mobile apps for iOS and Android: mobile applications simplify working with presentations on the go.
Disadvantages:
- No offline mode: Pitch relies on the cloud, which may limit usability without an internet connection.
- Dependence on paid subscription: some features, such as interactive elements and exporting presentations to PDF/PPTX formats, are only available in the paid version.
Conclusion: Comparison Table
We reviewed six AI presentation makers. Each service has its own advantages and disadvantages. The table below clearly shows the features of all the AI tools mentioned in this article:
|
|
MagicSlides (GPT for Slides) |
Plus AI |
Gamma |
SlidesGo |
SendSteps |
Pitch |
|
Free Trial |
Available but limited: up to 3 presentations per month, max 10 slides each. |
7-day trial, then paid subscription required. |
Available but limited: watermarks and restricted export. |
Fully free basic plan, premium features like tech support are optional. |
Fully free plan, creation of only 2 presentations. |
Fully free plan, unlimited presentations. |
|
Pricing |
Essential: $8/mo, Pro: $16/mo, Premium: $29/mo; 33% discount for annual payment. |
Basic: $10/mo, Pro: $20/mo, Team: $30/mo, Enterprise: quote-based. |
Plus: $10/mo, Pro: $20/mo; 25% annual discount. |
Premium: €1.99/mo; 67% annual discount. |
Starter: $9.50/mo, Professional: $19.50/mo, Enterprise: quote-based; 31% annual discount. |
Pro: $20/mo, Business: $80/mo; 15% annual discount. |
|
Third-Party Integrations |
Google Slides, YouTube, Wikipedia |
Slack, Google Slides, Notion, Confluence, Coda, Canva, Slite, Guru, Gitbook, Gamma, Tome, Fermat, Obsidian |
Microsoft Word, Tally, Unsplash, Calendly, Microsoft 365, PowerPoint, Airtable, Typeform, Google Slides, Google Docs, Miro, Amplitude, Google Drive, GIPHY, Figma, Power BI |
Export presentations to Google Slides and PowerPoint |
None |
HubSpot, Slack, Notion, Loom, Unsplash |
|
External Source Support |
Supports YouTube videos, PDF, URL (web scraping), Wikipedia |
No support, only text input or PDF/PPTX/TXT upload |
No support, only text or PDF |
No, only text input or Freepik/Pexels media |
No, only text input or PDF/PPTX/DOCX/TXT upload |
No, only text input |
|
Slide Editing |
Limited, editing only through Google Slides |
Full editing in Google Slides/PowerPoint |
Full built-in editor |
Full built-in editor |
Limited editing |
Full built-in editor |
|
Animation & Interactivity Support |
Yes, through Google Slides (transitions, animations) |
Yes, automatic animations and transitions |
Yes, animations, video, interactive elements |
Limited |
Yes, polls, quizzes, timers, videos |
Yes, animations and transitions |
|
Export Formats |
PPTX, PDF, Google Slides |
PPTX, Google Slides |
PDF, PowerPoint (limited in free plan) |
PDF, JPEG, PPTX | PDF, PPTX | PDF, PPTX |
Infrastructure
22.09.2025
8 min read
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Infrastructure
Information Security (InfoSec): Definition, Principles Triad, and Threats
Information security refers to various methods of protecting information from outsiders. That is, from everyone who should not have access to it. For example, a marketer typically has no reason to view the company's financial statements, and an accountant doesn't need to see internal documents from the development department.
Before the era of universal digitization, it was mainly paper documents that needed protection. They were hidden in safes, secret messages were encrypted, and information was transmitted through trusted people. Today, computer security is the foundation of any business.
InfoSec Principles
Information security protection is based on three principles: availability, integrity, and confidentiality.
Confidentiality: data is received only by those who have the right to it. For example, application mockups are stored in Figma, with access limited to designers and the product manager.
Integrity: data is stored in full and is not changed without permission from authorized persons. Suppose there's code in a private repository. If an unauthorized person gains access to the repository and deletes part of the project, this violates integrity.
Availability: if an employee has the right to access information, they receive it. For example, every employee can access their email. But if the email service is attacked and made unavailable, employees won't be able to use it.
Adhering to these principles helps achieve the goal of information security: to reduce the likelihood of or eliminate unauthorized access, modification, distribution, and deletion of data.
Many companies also adopt a zero-trust security approach that assumes no user or system should be trusted by default. This reinforces all three principles by requiring continuous verification.
What Information Needs Protection
Understanding what data should be protected is what information security in a company depends on.
Information can be publicly accessible or confidential.
Publicly accessible: this data can be viewed by anyone.
Confidential: available only to specific users.
At first glance, it seems that information security measures don't apply to publicly accessible information, but this isn't true. Only the principle of confidentiality doesn't apply to it. Publicly accessible data must remain integral and, logically, available.
For example, a user's page on a social network. It contains publicly accessible information. The social network ensures its availability and integrity. If the user hasn't changed privacy settings, anyone can view their page. But they cannot change anything on it.
At the same time, the account owner can configure confidentiality, for instance, hide their friends, groups they're subscribed to, and musical interests.
Confidential information also comes in different types. These can be:
Personal user data.
Trade secrets: information about how the company operates and what projects it conducts and how.
Professional secrets, which must be kept by doctors, lawyers, notaries, and representatives of certain other professions.
Official secrets: for example, pension fund data, tax inspection information, banking details.
State secrets: intelligence information, data on economic conditions, foreign policy, science and technology.
This is not an exhaustive list, but rather an attempt to show how much data needs information security measures applied to it.
Possible Threats
The enormous list of potential threats is usually divided into four types:
Natural: for example, hurricanes or floods.
Man-made: phenomena related to human activity. They can be unintentional (employee error) or intentional (hacker attack).
Internal: threats that originate from within the system, such as from employees.
External: threats that originate from other sources, such as attacks by competitors.
With the mass adoption of remote work formats, the number of man-made threats, both external and internal, intentional and unintentional, has noticeably increased. Because of this, the workload on information security specialists has grown.
Today's threat environment includes several increasingly prevalent attack vectors:
Ransomware attacks: malicious software that encrypts company data and demands payment for its release. These attacks have become more sophisticated and targeted, often crippling entire organizations.
Supply chain attacks: compromising software or hardware providers to gain access to their customers' systems. Attackers exploit trust relationships between organizations and their vendors.
AI-powered threats: artificial intelligence is being used to create more convincing phishing campaigns, generate deepfakes for social engineering attacks, and automate vulnerability discovery. At the same time, AI is also being deployed defensively to detect and respond to threats faster.
Social engineering and deepfakes: attackers use AI-generated audio and video to impersonate executives or trusted individuals, making fraudulent requests appear legitimate.
Protection Measures
Organizational information protection measures are implemented at several control levels.
Administrative: the formation of standards, procedures, and protection principles. For example, developing a corporate security policy. At this level, it's important to understand what data you will protect and how.
Logical: protection of access to software and information systems. At this control level, access rights are configured, passwords are set, and secure networks and firewalls are configured.
Physical: at this level, physical infrastructure is controlled. This refers not only to access to equipment, but also to protection from fires, floods, and other emergency situations.
Despite digitization, physical information protection remains no less important. Antivirus software and access rights separation won't help if attackers gain physical access to the server. They won't save you in case of an emergency either. To eliminate such problems, Hostman uses infrastructure in protected data centers.
20 October 2025 · 5 min to read
Infrastructure
Private Cloud In Cloud Computing: Benefits and When To Use
What is a cloud? It’s virtualized server resources: RAM, processor power, disk space, and installed applications. The main advantage of the cloud-based approach to infrastructure is flexibility. If you need more performance, you can easily add memory or connect additional processing power when the load increases.
Difference Between Private, Public, and Hybrid Clouds
Below is the standard classification of cloud services:
Private Cloud: The infrastructure is used by only one organization. The equipment can be located either at the provider’s site or on the user’s premises.
Public Cloud: The infrastructure is shared by all registered users. Examples include Amazon Web Services, Microsoft Azure, and Hostman.
Hybrid Cloud: A combination of private and public infrastructure. Part of the equipment may be located with the user, and part with the provider.
From this classification, it’s clear that hybrid clouds are a compromise solution. However, using them isn’t always justified. To understand this better, let’s compare all three types across several parameters.
Comparison Table
Parameter
Private
Public
Hybrid
Complexity
High level of complexity. Requires selecting equipment and developing architecture.
Low level of complexity. You choose a suitable service and pay for it.
High level of complexity. You need to configure the private part and connect it with the external infrastructure.
Cost
Expenses are borne by the owner of the equipment and licenses.
Expenses are borne by the provider; the user pays a service fee.
Expenses are partly on the user, partly on the provider.
Maintenance
The organization must monitor the system and fix failures itself.
The provider manages the infrastructure.
The organization must monitor its private part.
Scalability
Additional resources must be purchased and configured manually.
Additional resources are available on demand.
Additional resources are available on demand.
Security
High, as everything is under the owner’s control.
Lower level of control; many security aspects remain the provider’s responsibility.
High level of security with proper architecture, when all critical nodes are located in the private cloud.
Private Cloud Advantages and Disadvantages
The comparison table above clearly shows the pros and cons of private clouds. Let’s look at them in more detail.
Advantages:
Physical access to the equipment usually remains only with the owner. It’s also possible to limit internet connections to prevent unauthorized data access.
You can save on physical equipment by investing in the development of a virtual infrastructure instead.
Flexible configuration of resources and computing power for different departments within the company.
Disadvantages:
Requires significant financial investment: you can’t build it without purchasing or renting equipment.
System design and deployment take a lot of time.
Scalability is limited by the available physical resources. If more capacity is needed, new equipment must be purchased.
When to Create a Private Cloud
Now that we understand what a private cloud is and what its pros and cons are, let’s figure out when companies choose this approach.
The main scenario comes from how a private cloud operates. Large organizations often have enough resources to purchase equipment, design a well-thought-out architecture, and fund teams of specialists to maintain the system. Such companies also tend to handle large volumes of data that require a high level of security.
Based on this scenario, the main users of private clouds are:
Mobile network operators
Banks
Insurance companies
Gas and oil enterprises
Retail companies
The types of data that companies host in their private cloud environments can vary, but they generally fall into two main categories:
Confidential or proprietary information, for which the organization must retain full control. Security policies or internal regulations may prohibit the use of public cloud servers, leaving private infrastructure as the only viable option.
Data governed by strict legal or industry-specific compliance requirements. For instance, certain privacy laws or standards (such as GDPR, HIPAA, or PCI DSS) require data to be stored in secure, controlled environments or within specific jurisdictions.
In such cases, a private cloud is often the most suitable solution. It provides greater control over security and compliance, reduces regulatory risks, and allows for certification under relevant industry standards.
Moreover, if the company later needs to expand its infrastructure to store or process less sensitive data, it can integrate a public cloud and adopt a hybrid model, combining flexibility with strong data protection.
17 October 2025 · 4 min to read
Infrastructure
Hardware Virtualization: What It Is, Its Types, and Benefits
Hardware virtualization allows creating virtual machines (VMs) on physical hardware while distributing resources as efficiently as possible. This article explains how it works, what types exist, and what advantages it provides for business.
How It Works
The basic level of any virtualization is the server. Data processing occurs on physical hardware, regardless of the level of abstraction.
In hardware virtualization, a hypervisor is installed on the server. This is software that creates sets of virtual resources. There are two main types of hypervisors: Type 1 (bare-metal), which runs directly on the hardware, and Type 2 (hosted), which runs on top of a host operating system. Both create and manage virtual machines, but Type 1 generally offers higher performance. We have covered hypervisors in detail in a separate article.
The top layer of abstraction is the virtual machine. At first glance, it does not differ from a traditional server. Essentially, a VM consists of a single virtual disk and files describing its configuration.
The virtual machine is installed on the hardware hypervisor. Once the VM is prepared, operating systems and application software can be installed on it.
A helpful analogy is a book. Imagine a physical server with installed software as a book on a shelf. You can pick it up and move it physically, but creating a copy to give to someone else requires significant effort: retyping or scanning each page, assembling the pages, and binding the book.
A configured VM with allocated resources and installed applications is like a digital version of the book. You can make unlimited copies with minimal time and effort. You can create a backup, transfer a copy to another machine, or share it with another user. Virtualization of CPUs and other resources enables this simplicity in deployment and management.
Hardware Support
For VMs to function efficiently, resource allocation must be supported at the processor level. Two major technologies exist from leading manufacturers: Intel VT and AMD-V.
Both technologies have multiple development directions. The primary one is CPU virtualization, which allows running multiple systems on a single processor, either in parallel or nested within each other.
Technologies for virtualized graphics and input/output are also advancing. They facilitate remote access and sharing of physical hardware, which is useful for remote workstations or online gaming.
These hardware extensions are particularly important for Type 1 hypervisors, allowing virtual machines to run at near-native performance without modifying the guest operating system.
Types of Hardware Virtualization
The main types of virtualization are:
Full virtualization: hardware is fully emulated. This creates an environment that can run on different servers without lengthy configuration.
Paravirtualization: a special version of the operating system is created for the virtual machine. It can be modified or recompiled based on the server's hardware resources. This method was historically used to improve performance, but modern hardware virtualization extensions have largely reduced its advantage.
Hardware-assisted virtualization: a fully virtualized VM is created using the computer's physical hardware with support from processor extensions (Intel VT/AMD-V).
The choice of type depends on the tasks to be solved.
Differences Between Hardware and Software Virtualization
Hardware virtualization is not the only approach. Software virtualization relies on a host system and adds an extra layer of abstraction:
Physical server with resources
Host operating system
Hypervisor installed on the host OS (Type 2 hypervisor)
Virtual machines installed and managed via the hypervisor
Adding this extra layer complicates the process and reduces hardware performance. Physical resources are consumed by both the host OS and the hypervisor. Other issues include:
If the host system fails, all VMs running on it lose access to physical resources.
Security risks become larger; if the host OS is compromised, all VMs are at risk.
Updating or reinstalling the host OS requires stopping the VMs.
Software virtualization is suitable for simple tasks, such as testing another operating system inside the main one, avoiding the need to install multiple OSes side by side.
For business purposes, hardware virtualization is preferred because it provides higher performance and security. The key is efficient resource usage.
Business Advantages
Virtualization technology offers several benefits:
Cost efficiency: reduces expenses for purchasing, configuring, and maintaining physical hardware. Instead of multiple servers, a single powerful machine can be used, with the virtualization system dividing resources among VMs performing different tasks.
Flexibility: VM configurations can be saved as images and deployed across different hardware or moved between servers.
Scalability: when workload increases, additional VMs can be quickly launched to add resources and stabilize operations.
Fault tolerance: VM snapshots can be created at any time. Copies can be distributed geographically, so even if part of the hardware fails, the infrastructure continues to function. The load on active components can be managed by adding extra resources.
Security: VMs are isolated from each other. Compromising one VM does not affect others.
Conclusion
With hardware virtualization, external applications cannot distinguish virtual machines from physical servers. Guest operating systems run on the CPU without knowledge of other OSes sharing the same hardware. This isolation helps maintain high security.
Virtualization is used by large companies, small and medium businesses, and individual users. It enables building a flexible infrastructure of any size that can be easily scaled and protected against internal and external threats.
17 October 2025 · 5 min to read
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