Belitsoft. Software Development Company
Belitsoft > Amazon Cut Tens of Thousands corporate Jobs to Invest more in AI Automation

Amazon Cut Tens of Thousands corporate Jobs to Invest more in AI Automation

Updated Oct 28, 2025 , Published Oct 28, 2025

Amazon is planning to cut 30,000 corporate jobs beginning on October 28, 2025, according to Reuters (Amazon itself says it will be only 14,000). This will impact employees in the United States, the United Kingdom, and Canada. It is a corporate reduction, representing 10 percent of Amazon’s corporate employees. Amazon doubled its workforce to 1.6 million from 2019 to 2021, but that number dipped to 1.55 million last year.

Contents

Amazon staff reduction due to AI automation

Andy Jassy, Chief Executive Officer, says the reason is to reduce the "excess of bureaucracy". The vision is to operate like the world’s biggest startup and to make the company leaner, with fewer layers and more ownership, so Amazon can move more quickly.

However, the key reason may be the increased use of AI that cut jobs by automating repetitive and routine tasks. It seems that AI-driven productivity gains within corporate teams were sufficient for a substantial reduction in force.

Amazon has long-term investments in building out its AI infrastructure and in the short term must offset costs. The company is expected to spend $118 billion in capital expenditures for the year, with much of it going towards building AI and cloud infrastructure.

Beth Galetti, Senior Vice President of People Experience and Technology, says the reduction is necessary because this generation of artificial intelligence is the most transformative technology since the Internet, and it accelerates the pace of innovation across existing and new market segments.  

Amazon had more than 1,000 generative artificial intelligence services and applications in progress or built, but that figure was a "small fraction" of what it plans to build.

Amazon shares rose 1.2 percent to $226.97 on Monday following the report.

The company appears to be expecting another big holiday selling season and plans to offer 250,000 seasonal jobs to help staff warehouses, among other needs, which is the same seasonal hiring level as in the prior two years. This contrasts large seasonal warehouse hiring with corporate reductions.

Amazon Web Services

Amazon Web Services, the company’s cloud computing unit, is affected among others.

AWS reported second-quarter sales of $30.9 billion (17.5 percent increase year over year), and that growth was well below gains recorded for Microsoft Azure (39 percent and for Alphabet’s Google Cloud at 32 percent in the same period). This competitive pressure may be driving Amazon to restructure AWS.

The division has been making headlines recently for a fifteen-hour internet outage last week that disrupted many widely used online services.

Amazon Robots

Amazon executives believe the company is on the cusp of a major workplace shift that will replace more than 500,000 jobs with robots. Robotic automation could allow the company to avoid hiring more than 600,000 people by 2033, even while selling twice as many products. Amazon’s automation team expects the company can avoid hiring more than 160,000 people in the United States by 2027.

To mitigate fallout in communities that may lose jobs, Amazon policy avoids using words such as "automation" and "artificial intelligence" when discussing robotics and instead substitutes phrases such as "advanced technology" or the word "cobot" to imply collaboration with humans.

Daron Acemoglu, a professor at the Massachusetts Institute of Technology who studies automation and who won the Nobel Prize in Economic Sciences last year, said that once companies work out how to automate profitably, the practice will spread to other firms.

Never miss a post! Share it!
# News # Generative AI # AI Agents # AI # AWS
Author
Written by
Chief Innovation Officer / Partner
I've been leading a department specializing in custom software development for 20 years.
5.0
1 review

Rate this article

Leave a comment
Your email address will not be published.

Recommended posts

Belitsoft Blog for Entrepreneurs
Google Launched Antigravity 2.0 with Gemini 3.5 Flash. Will Agents Be 4x Faster?
Google Launched Antigravity 2.0 with Gemini 3.5 Flash
Google released Gemini 3.5 Flash. Antigravity was unified onto a single agent harness (desktop, CLI, SDK and API). Gemini CLI for consumers will be shut down on June 18, 2026. Ultra pricing was cut down, although the per-token API price of the model went up and early developers are skeptical about the value.
Dmitry Baraishuk• 3 min read
Google Makes Gemma 4 Up to 3x Faster Locally
Google Makes Gemma 4 Up to 3x Faster Locally
Google updates Gemma models to make AI generation significantly faster.
Dmitry Baraishuk• 4 min read
Top-7 AI Voice Agents for Clinical Trial Screening
Top-7 AI Voice Agents for Clinical Trial Screening
Clinical trial recruitment platforms and CROs use voice AI during clinical trials to call potential participants, conduct initial screenings, and schedule appointments.
Dzmitry Garbar• 4 min read
Claude vs ChatGPT
Claude vs ChatGPT
After the Donald Trump administration labeled Anthropic a supply chain risk in March 2026, following the company’s refusal to allow Claude to be used in autonomous weapons systems, the backlash against OpenAI’s competing Pentagon agreement drove an estimated 700,000 ChatGPT cancellations. Claude’s paid subscriptions more than doubled, and its iOS application reached number one on the App Store.
Dmitry Baraishuk• 2 min read
Microsoft Copilot Tasks
Microsoft Copilot Tasks
On February 26, Microsoft announced Copilot Tasks. They call Copilot Tasks the "second chapter" of their AI products. It is no longer just an AI chatbot that holds conversations, but an AI agent tool that can perform complex tasks to support your business.
Dmitry Baraishuk• 2 min read
Top AI Developers 2026: How to Choose the Best AI App Development Company
Top AI Developers 2026: How to Choose the Best AI App Development Company
Various artificial intelligence (AI) market research sources claim that the volume of the artificial intelligence market is expected to reach almost 1.68 trillion dollars by 2030 with a CAGR of nearly 37% from 2026 to 2031.
Dmitry Baraishuk• 11 min read
Agentic AI Coding: What Still Remains Expensive Amid a 90% Drop in Costs
Agentic AI Coding: What Still Remains Expensive Amid a 90% Drop in Costs
If a problem can be reduced to something solvable by simple code, an AI assistant can deliver the solution very quickly. However, reducing a complex problem to one solvable by simple code s
Alexander Kom• 10 min read
AWS Outage Prevention: Single Сloud with multi-Region or Multi Сloud?
AWS Outage Prevention: Single Сloud with multi-Region or Multi Сloud?
AWS had a major outage (October, 2025). One month after the incident (November, 2025), Amazon introduced a new Route 53 feature that was reported to help prevent similar disruption. However, if your servers are in one AWS region and it goes down, switching DNS records alone is not enough.
Dmitry Baraishuk• 4 min read
Top-10 Conversation Intelligence Software Products
Top-10 Conversation Intelligence Software Products
The global conversational analytics market is vast, ranging from all-in-one enterprise platforms for contact centers that provide omnichannel analytics along with workforce optimization and workforce engagement management, to standalone analytics modules that connect to existing telephony and CRM systems and focus exclusively on speech and interaction analysis. Cloud-based conversational AI systems automate quality assurance and agent training, while real-time assistants listen to calls and provide guidance to agents during conversations. Advanced conversational and agentic AI platforms support contact centers by combining analytics, assistance, and automation in one tool.
Alexander Suhov• 10 min read
Catastrophic Outage of Online Security Company Cloudflare
Catastrophic Outage of Online Security Company Cloudflare
On Tuesday, November 18, 2025, Cloudflare suffered a massive worldwide outage that began around 06:20 a.m. ET / 11:30 GMT. Cloudflare said it began with a "spike in unusual traffic" to one of its services. As a result, "Network" and "multi-region fabric" went offline, and 20–25% of the internet saw HTTP 500, 521, 522, and "Connection Timed Out" errors.
Dmitry Baraishuk• 4 min read
Cloud .NET Development
Cloud .NET Development
Making choices about cloud technology without deep design knowledge or architectural expertise leads to escalating long-term problems, especially for companies that hire low-cost .NET development agencies to save money upfront. This technical debt worsens over time and costs companies three to ten times more to fix than the initial software development. Extremely low-cost .NET developers frequently deliver applications as a single, large unit (monolithic applications) that cannot scale to support growth. This forces clients to completely rebuild the software (re-architecture) soon after release. Vendor lock-in adds further risk: you become overly dependent on a single cloud provider such as AWS, Azure, or GCP. When applications perform poorly, these performance bottlenecks are usually caused by poor application architecture too. To avoid these risks, companies should work with development firms that can demonstrate specialized expertise in cloud-native architecture.
Alexander Kom• 18 min read
Composer LLM from Vibe Coding Platform Cursor 2.0: Cool or Overhyped?
Composer LLM from Vibe Coding Platform Cursor 2.0
Cursor 2.0 from Anysphere now supports not only external models like GPT-5, Claude Sonnet 4.5, and Gemini, but also its own Composer large language model. Composer is the first coding model built specifically for production-level agent programming, offering an early look at the future of everyday programming. Composer is fully integrated into Cursor 2.0, which is available to everyone.
Dmitry Baraishuk• 5 min read
Microsoft Reports Strong Earnings Amid Major Azure Outage
Microsoft Reports Strong Earnings Amid Major Azure Outage
On October 29, 2025, Azure Portal and Microsoft 365 went down worldwide. Applications that depend on Microsoft servers slowed down or stopped working. Users could not access websites, apps, or cloud-connected services. This was one of the most severe outages in Microsoft's recent history. It began between 11:30 a.m. and 12 p.m. ET (16:00 UTC), according to Downdetector, just hours before the company announced its quarterly earnings. The investor relations and status pages were also down. Microsoft confirmed the outage on its status page and classified the incident as Critical across all Azure regions worldwide (North America, South America, Europe, Asia-Pacific, the Middle East, and Africa).
Dmitry Baraishuk• 2 min read
ChatGPT Agent Builder: Main Module of the AgentKit Platform
ChatGPT Agent Builder: Main Module of the AgentKit Platform
During OpenAI’s DevDay in San Francisco (october 2025), the AgentKit platform was announced to help developers build custom agents. Google already offers a similar platform, Vertex AI Agent Builder, and Microsoft has its own Copilot Studio. Agent Builder is the main module of the AgentKit platform. It is designed to control the behavior of ChatGPT models much more precisely than is possible with standard prompts or custom GPTs. Agents have existed for a long time, including those using ChatGPT models, but most often they were created through third-party intermediary platforms. Now, OpenAI allows you to build custom agents on its models without intermediaries.
Dmitry Baraishuk• 7 min read
H-1B Visas Rule Changes Under Trump in 2025
H-1B Visas Rule Changes Under Trump in 2025
Trump signed an order (Sep. 19, 2025) that makes companies pay $100,000 for each H-1B visa they use to hire foreign workers. If your employer doesn't pay the $100,000, you can't come in. The State Department and Homeland Security will turn you away. Indians get more than 70% of H-1B visas, Chinese citizens get 10%, and the rest go to experts from Mexico, Canada, Philippines, Taiwan, and Korea. Trump's decisions create uncertainty in business. This supply shock isn't good for the US. However, tech companies agree that America's loss could be Canada's and Europe's gain.
Dmitry Baraishuk• 9 min read
OpenAI’s ChatGPT Agent Outperforms the o3 Model Alone: What This Means for Developers
OpenAI’s ChatGPT Agent Outperforms the o3 Model Alone
A new ChatGPT agent was introduced in OpenAI’s July 17, 2025 announcement as a new agentic model in the same family as OpenAI o3, but with better benchmarks. Do the new features only affect ChatGPT product users, or do they also impact OpenAI platform customers and third-party developers? ! Do not confuse the Agent mode in ChatGPT introduced in July 2025 with the completely different agent-building platform (Agent Builder/AgentKit) launched in October 2025.
Dmitry Baraishuk• 18 min read
ASP.NET Cloud Development: Enterprise Strategy and Best Practices
ASP.NET Cloud Development: Enterprise Strategy and Best Practices
Building modern enterprise applications with ASP.NET in the cloud requires consideration of application architecture, cloud services, and deployment models. This article outlines how to develop and deploy ASP.NET applications (including MVC web apps, Blazor interactive UIs, and Web API services) on leading cloud platforms. It highlights key cloud features (like auto-scaling, CI/CD, containerization, and serverless functions) and compares Azure, AWS, and Google Cloud for hosting ASP.NET solutions. This guide is for technical decision-makers to plan a scalable, and compliant enterprise ASP.NET cloud architecture.
Denis Perevalov• 14 min read
Legal AI: Judge Fines Attorneys for AI-Generated Motion
Legal AI: Judge Fines Attorneys for AI-Generated Motion
Why do AI-generated "hallucination" briefs keep showing up — even though the legal-tech market is crowded with AI startups? Lawyers often rely on free, general-purpose chatbots instead of paid legal tools. Cost is a barrier.
Dmitry Baraishuk• 7 min read
AI in Fintech and Banking
AI in Fintech and Banking
AI in banking is moving from widgets to a workforce. The winners industrialize data, build agent governance, redirect talent to judgment tasks, and align regulatory strategy with technical architecture. These steps bring the 25-30% productivity gains demonstrated by today’s pilots without triggering the reputational risks.
Dzmitry Garbar• 8 min read
Lovable grows to $1.8 B valuation despite security issues
Lovable grows to $1.8 B valuation despite security issues
Lovable is a Stockholm-based artificial intelligence startup established in 2023. Although only two years old, the company has moved quickly from formation to product launch and now to a significant growth stage fundraising.
Dmitry Baraishuk• 5 min read
Cloudflare Will Charge OpenAI Bots for Scraping Websites
Cloudflare Will Charge OpenAI Bots for Scraping Websites
Cloudflare has launched a private beta feature called Pay per Crawl, whose sole purpose is to let a website owner charge an AI crawler a fixed fee each time the crawler requests a page. The feature addresses a common operational gap: currently, a publisher can either leave all content open to automated collection or block crawlers entirely, and any paid arrangement must be negotiated manually. Pay per Crawl replaces that binary choice with an automated, per-request billing step handled entirely at Cloudflare’s edge.
Dmitry Baraishuk• 4 min read
Microsoft AI for Health: MAI-DxO Is 4 Times Better at Diagnosis Than Doctors
Microsoft AI for Health: MAI-DxO Is 4 Times Better at Diagnosis Than Doctors
Microsoft has released research that demonstrates a practical way for large language model software to help doctors make difficult diagnoses while spending less money on tests. 
Dzmitry Garbar• 6 min read
Senior Software Developer in the UK is a Top 5 In-Demand Role
Senior Software Developer in the UK is a Top 5 In-Demand Role
Software developers re-entered the UK’s top five most in-demand jobs. Pay has outpaced inflation for twelve months. However, entry-level roles are vanishing as generative AI reshapes workloads.
Alexander Kom• 3 min read
.NET Machine Learning & AI Integration
.NET Machine Learning & AI Integration
Developers can add artificial intelligence features to existing or new C# applications. Adding AI features to .NET software can now be accomplished very fast. 
Denis Perevalov• 14 min read
Gemini CLI Free Open-Source AI Agent
Gemini CLI Free Open-Source AI Agent
Gemini CLI is introduced as an open-source AI agent that brings Google’s Gemini models straight into the command line. Google says it’s a "fundamental upgrade" to the terminal, transforming the CLI into an AI-assisted workspace. The company stresses that Gemini CLI is "built to do so much more" - content creation, problem solving, deep research, and task management. This tight terminal integration promises "the most direct path from your prompt to our model". While the agent itself runs locally in your shell, the Gemini models execute in the cloud.
Dmitry Baraishuk• 5 min read
Microsoft Copilot AI vs ChatGPT
Microsoft Copilot AI vs ChatGPT
Generative AI assistants have left the pilot phase and are becoming routine companions in day-to-day work. Two products dominate: Microsoft Copilot, embedded throughout the Microsoft 365, Windows, and GitHub, and OpenAI’s ChatGPT Enterprise, delivered primarily through a browser interface. Because both assistants draw on the same GPT-4-class model family from OpenAI, executives often struggle to see where the real differences are — in cost, risk, and tangible value. 
Dmitry Baraishuk• 5 min read
Goldman Sachs AI Assistant
Goldman Sachs AI Assistant
Goldman Sachs on June 23, 2025, switched on its generative AI assistant, GS AI Assistant, across every major division: Investment Banking, Global Markets, Wealth & Asset Management, Research, Engineering, and others. The tool had operated in pilot mode through early 2025 with about 10,000 employees. A memo this week formalized the firm-wide launch and invited roughly 46,500 “knowledge workers” to use it.  
Dmitry Baraishuk• 4 min read
Enterprise Vibe Coding vs SaaS
Enterprise Vibe Coding vs SaaS
As more companies use generative AI tools to let non-programming staff create internal applications, many narrow SaaS products that charge per user can be replaced with solutions built in house.
Dmitry Baraishuk• 6 min read
What Microsoft’s Copilot Vision Launch Means for Software Development
What Microsoft’s Copilot Vision Launch Means for Software Development
Microsoft’s June 12, 2025 launch of Copilot Vision expands the company’s AI assistant from a chat box into an on-screen companion. The feature is available as a free update in the Copilot app for Windows 11 version 23H2 on PCs that support Copilot and for Windows 10. A similar free camera mode is available for iOS and Android. At launch, distribution is limited to the United States, with Microsoft promising to expand to other non-European countries soon. The company has also removed the Copilot Pro subscription requirement.
Dmitry Baraishuk• 2 min read
Outage Affected Multiple Google Cloud Platform Products
Outage Affected Multiple Google Cloud Platform Products
On June 12, 2025, Google Cloud’s central sign-in service — Identity and Access Management (IAM) — stopped issuing the tokens that every Google Cloud product needs to operate. This single failure immediately disabled a long list of Google services worldwide.
Dmitry Baraishuk• 1 min read
AI Software Development Trends in 2025
AI Software Development Trends in 2025
AI entrepreneurs and startup founders must balance four fronts at once with their product roadmaps - system architecture, revenue strategy, market timing, and competitive positioning. This article walks through the key AI infrastructure trends, model capabilities, and market dynamics expected through 2025.
Dmitry Baraishuk• 7 min read
LLM Summarization of Large Documents: How to Make It Work
LLM Summarization of Large Documents: How to Make It Work
Summarizing text is one of the main use cases for large language models. Clients often want to summarize articles, financial documents, chat history, tables, pages, books, and more. We all expect that LLM will distill only the important pieces of information, especially from long texts. However, this isn't always possible with the expected level of quality. Even a larger token limit isn’t a guaranteed solution. Fortunately, there are approaches that help summarize texts of different lengths - whether it’s a couple of sentences, paragraphs, pages, an entire book, or an unknown amount of text.
Dmitry Baraishuk• 6 min read
BloombergGPT is Live. A Custom Large Language Model for Finance
BloombergGPT is Live. A Custom Large Language Model for Finance
Bloomberg is a financial technology and data company with a core business - a subscription-based software platform (Terminal) used by finance professionals for real-time data, analytics, trading tools, and news (this is what Wall Street traders, analysts, and portfolio managers rely on daily). Bloomberg has a strong AI and machine learning division, which developed BloombergGPT, its own financial large language model trained on proprietary financial data. So, it’s time to take the lesson, if you want to build or modernize your own financial product based on a custom LLM and do it smarter, faster, and cheaper.
Dzmitry Garbar• 8 min read
Financial LLM: Use Cases and Examples
Financial LLM: Use Cases and Examples
A major expectation in banking is that LLMs can serve as intelligent assistants for both customers and employees. In the world of asset management, including hedge funds, mutual funds, and other investment firms, the interest in financial LLMs centers on gaining an informational edge and productivity boost. Fintech companies and startups view financial LLMs as an opportunity to differentiate their products with AI and to build new services faster. When the insurance industry speaks of a financial LLM (sometimes explicitly an "insurance LLM"), they mean a model that can understand insurance-specific language and workflows. Companies that provide financial data, analytics, and news have been quick to explore LLMs, often coining their solutions as financial LLMs to market their domain expertise. Their perspective is that a financial LLM should function as an expert financial analyst that a user can talk to on demand.
Dzmitry Garbar• 4 min read
Hugging Face: The Guide for AI Startup Founders
Hugging Face: The Guide for AI Startup Founders
Hugging Face (HF) is a leading open-source platform and community in the machine learning ecosystem. As the “GitHub of Machine Learning”, HF is a central place to find, share, and collaborate on AI models and datasets. HF is a one-stop resource in the AI development pipeline, from model search and experimentation to initial deployment, helping startups go from an idea to a working AI faster and with lower upfront R&D costs.
Dmitry Baraishuk• 11 min read
System Prompt Engineering in Gen AI Applications
System Prompt Engineering in Gen AI Applications
This article contains ideas on customizing prompts for gen AI applications and the golden rules of prompt engineering. The enterprise generative AI market is growing. Companies need “picks and shovels" to adapt LLMs to their proprietary data. To assist businesses, software experts examine their niche terminology and workflows and apply prompt engineering to tailor AI behavior to each customer’s requirements.
Dmitry Baraishuk• 7 min read
AI Document Classification: Cost of Building the Model
AI Document Classification: Cost of Building the Model
Our clients often ask us about the cost of building an AI document classification software that automatically analyzes, scores, selects, and prepares large volumes of content for future business use.
Alexander Kom• 7 min read
Augment Your LLM With RAG Using LlamaIndex
Augment Your LLM With RAG Using LlamaIndex
According to Gartner, in the upcoming years, enterprises will need more Gen AI models that are closely related to their industries. That means they will look for solutions to train their large language models (LLMs) and make them focus on proprietary knowledge. Data orchestration frameworks like LlamaIndex help build retrieval-augmented generation (RAG) systems and expand the possibilities of LLMs on top of specific organization’s data. LlamaIndex collects data from files (PDFs, PowerPoints), apps (Slack, Notion), and databases (MongoDB, Postgres) and structures it to make it easily digestible to LLMs.
Dmitry Baraishuk• 7 min read
Truewind AI ($17M): AI Use Case in Finance and Accounting
Truewind AI ($17M): AI Use Case in Finance and Accounting
Generative AI, machine learning capabilities, and predictive analytics are gradually becoming part of modern applications. The finance and accounting industry is no exception: startups are emerging. They not only attract investment but also have real clients. One of them is Truewind — founded just around 2 years ago (at the time of writing). A core component of its offer for companies working in accounting is document classification, assigning categories, displaying a confidence score for classification accuracy, and explaining why a particular classification was applied. Integrating such a solution into a B2B SaaS product enables building a sustainable business model, gradually scaling and deepening automation in accounting processes. Truewind relies less on custom large language models, and its senior full-stack engineers build the application using the OpenAI API and vector databases.
Dmitry Baraishuk• 10 min read
Generative AI App Development Company
Generative AI App Development Company
This article is a full roadmap for companies looking to build serious generative AI products, showing the process, potential obstacles, and how Belitsoft helps clients go from proof-of-concept to production — with the right team, clear planning, and business-focused execution.
Dmitry Baraishuk• 7 min read
Custom AI Chatbot Development Services
Custom AI Chatbot Development Services
Companies know that off-the-shelf solutions can force them to adapt their processes to the tool, while custom solutions let them preserve those unique processes. When businesses look for a custom AI chatbot, they expect the bot to rely on their proprietary information. Beyond data, firms seek special features that fit their domain. Enterprises view custom chatbots as deeply integrated, highly secure systems that align with their complex workflows. They also look for customization in how the bot behaves, and how it represents their brand.
Dmitry Baraishuk• 6 min read
Custom LLM Case Study: Healthcare (Innovaccer, Unicorn)
Custom LLM Case Study: Innovaccer (Healthcare)
SaaS enterprises adopt custom Gen AI. Innovaccer is an example of an enterprise SaaS company that chose a product diversification strategy by introducing its own proprietary LLM models instead of using ChatGPT. They have been training the model on data prepared by Innovaccer’s team and hosting it on servers controlled by Innovaccer. By 2027, most GenAI models used by enterprises will be industry- or function-specific, predicts Gartner. This means an increasing number of custom LLMs will be trained on proprietary data and hosted on servers controlled by enterprises.
Dmitry Baraishuk• 5 min read
LLM Training
LLM Training
While a generic LLM like OpenAI ChatGPT may have some familiarity with your domain, key information specific to your corporation, like internal documentation or emails, is not available to them by default. Therefore, such LLMs lack the necessary context for providing the best responses. It is possible to train general-purpose LLMs on your business-specific use cases. LLM developers overcome the limitations of generic models by steering them toward the most relevant outputs for your custom needs. They train large language models exclusively on your enterprise's data sets to generate tailored responses.
Dmitry Baraishuk• 6 min read
AWS Document Management System
AWS Document Management System
Electronic document management systems are created for dealing with digital documents and scanned versions of paper documents. Leading companies implement cloud document management software. In partnering with Noventiq, Belitsoft presents a ready-to-use, customizable cloud-based electronic document management system deployed on AWS. The software is available online, so you don't need to install anything. Users can perform all functions using the mobile application. We will accommodate your transition to a new document management system and can customize it by adding AI features. Ask us a question!
Dmitry Baraishuk• 7 min read
Predictive Data Analytics
Predictive Data Analytics
Predictive data analytics is an important industry application of machine learning. Implementing predictive data analytics solutions involves more than just selecting the appropriate machine learning algorithm.
Dmitry Baraishuk• 8 min read
What is Artificial Intelligence? AI vs Traditional Software
What is Artificial Intelligence? AI vs Traditional Software
According to the results of the recent Gartner’s benchmarked survey “AI Strategy: Where Your Competitors Are Investing”, there is a growing number of companies that are planning to build out and deploy AI. A deep understanding of the main difference between the possibilities of AI software and “traditional” software can help to separate AI hype from reality.
Dmitry Baraishuk• 14 min read
Cloud Performance Monitoring Before and After Migration
Cloud Performance Monitoring Before and After Migration
When migrating to the cloud, businesses may face the risk of overspending or bad performance. Typically, it happens due to the wrong resource allocation. To detect the issue early or prevent it at all, we integrate a user-friendly analytics system that surpasses on-premises performance after migration. This system includes intuitive dashboards and proactive alerts to keep stakeholders informed and ready to take action. The dashboards primarily focus on key technical metrics that directly impact your cloud solution's performance and costs. With continuous monitoring and optimization, we guarantee a smooth cloud journey at every stage.
Alexander Kosarev• 3 min read
LLM Pretraining
LLM Pretraining
Pre-training a large language model is a process of taking a transformer neural network and training it on a large corpus of text using supervised learning. This process is called pre-training because it is the first step of training an LLM before any fine-tuning. The output of pre-training is known as a base model.
• 17 min read

Our Clients' Feedback

zensai
technicolor
crismon
berkeley
hathway
howcast
fraunhofer
apollomatrix
key2know
regenmed
moblers
showcast
ticken
Next slide
Let's Talk Business
Do you have a software development project to implement? We have people to work on it. We will be glad to answer all your questions as well as estimate any project of yours. Use the form below to describe the project and we will get in touch with you within 1 business day.
Contact form
We will process your personal data as described in the privacy notice
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply
Contact us

USA +1 (917) 410-57-57
700 N Fairfax St Ste 614, Alexandria, VA, 22314 - 2040, United States

UK +44 (20) 3318-18-53
26/28 Hammersmith Grove, London W6 7HA

Poland +48 222 922 436
Warsaw, Poland, st. Elektoralna 13/103

Email us

[email protected]

to top