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How Bitrix24 CRM helps automate sales, marketing, tasks, and customer service in one system.
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Cyberthreats 2026: What Changed and How to Defend
The 2026 shift is not more attacks, but a shorter patching window: vulnerability remediation takes 32 to 43 days, and only 26% of CISA KEV is closed. DBIR, DDoS in CIS, Federal Law GDPR, and a business defense plan.
Learn moreDeveloper and PM estimate: L10-L60, workflow and AI
How KT.Team evaluates developers and project managers: L10-L60, TTU, workflow, client trust, and AI's role in modern development.
Learn moreSite access control: physical access systems, the law, and biometrics in 2026
Learn how to set up construction site access control and ACS under 2025-2026 rules, including biometric checks under Law 572-FZ.
Learn moreWhat is TS PIoT: marking migration for retail and 1C
TS PiOT is a certified in-store module that checks marking codes in authorization mode. What it is, who it affects, and how retail and 1C should migrate.
Learn moreClaude in Mid-Market and Enterprise
How to deploy Claude in mid-market and enterprise: from pilot to scale, where GDPR really blocks AI, where it does not, and what closes faster.
Learn moreCRM market in CIS 2026: Bitrix24 implementation, AI, trends, and project economics
CIS’s CRM market grew to 44.1 billion rubles (+25%): domestic solutions exceed 90%, Bitrix24 leads users at about 48%, and the top 2026 trend is AI in sales.
Learn moreESB Systems for Integration Comparison: 2026 Overview
Compare 7 enterprise service bus systems with CNews rating and 2026 CIS market analysis for integration selection.
Learn moreCross-platform development: RN, Flutter, or Kotlin Multiplatform
Choose between React Native, Flutter, and Kotlin Multiplatform for mobile apps: comparison table, scenarios, and integration with 1C, ERP, and PIM.
Learn morePricing Automation in E-commerce: How to Choose Tools Without Giving Pricing to a Black Box
How to build a price automation framework: competitor monitoring, repricing, ML/AI, limits of off-the-shelf tools, and KT.Team's approach.
Learn moreHow to give an LLM your knowledge: RAG, llm-wiki, graphs, fine-tuning
Compare RAG, llm-wiki, knowledge graphs, and fine-tuning for giving LLMs your knowledge, including when Obsidian helps and when it becomes unnecessary overhead.
Learn moreManaging Brand Image in Neural Networks: Pro et Contra
GEO gives no control over neural-network answers. What you can actually manage: brand facts, sources, reputation, measurement and the data perimeter.
Learn moreChestny Znak in 1C: how to work with it, export codes, and configure cash registers in 2026
How to work with Chestny Znak in 1C in 2026: marking code export, SBIS/EDI, UTD auto-signing, POS compliance mode, and error control.
Learn moreModel Fine-Tuning: A Short Guide
What LLM fine-tuning is, its pros and cons, when it makes sense (factories, construction, retail), and when cloud-based RAG or llm-wiki is enough.
Learn moreKarpathy's Lens: Understanding vs. Execution
A breakdown of Andrej Karpathy's ideas: AI as a spirit, a decade of agents, understanding matters more than execution, and what this means for business.
Learn moreHow we cut token costs without losing quality
How KT.Team reduces AI task costs: short context, RTK, Caveman, Cavecrew, caching, batch processing, and complexity-based routing.
Learn moreWhat McKinsey, Gartner, BCG, and Sequoia say about AI adoption - and what it means for you
What reports from Morgan Stanley, Gartner, and Sequoia say about AI adoption in 2025-2026 and what it means for enterprise: ROI, agents, build vs buy.
Learn moreLLM capabilities in 2026: choosing the right model for your process and budget
Comparison of frontier, open-weight, and CIS LLMs in 2026 by inference cost, context window, licensing, on-prem, and Federal Law GDPR, including GigaChat 3.5 Ultra.
Learn moreCommunication discipline: how to disagree without losing ground
Why a difficult dispute requires sequencing, questions, and written records of emotions: a management practice for digital teams.
Learn moreDORA 2026: AI does not deliver ROI - your platform does
DORA 2026 on AI ROI in development: 88% see returns, but transformation is rare. Why AI is an amplifier of platform maturity, not a source of ROI. Analysis by Andrey Putin.
Learn more5 critical WMS and 1C integration mistakes before switching to unit-level labeling tracking from June 1
Five critical WMS-1C integration mistakes: direct exchanges without contracts, manual statuses, poor monitoring, weak directories and missing business metrics.
Learn moreProcess automation in construction for controlling deadlines, budgets, contractors and digital project management
How to automate construction processes: plan-versus-actual, procurement, contractors, CDE/BIM, ERP, integrations, and AI summaries for the project manager.
Learn moreLocation-based storage, WMS, and warehouse slotting: how to eliminate unnecessary movement and improve logistics efficiency
Slotting in WMS: how ABC/XYZ analysis, placement rules, and integrations speed up picking, cut travel distance, and remove chaos in bins.
Learn moreWhy TMS no longer works without ERP integration: how to build end-to-end digital logistics in 2026
How to connect TMS, ERP, 1C, WMS, and tracking without point-to-point integrations: events, statuses, SLA, error control, and unified analytics.
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