The Curious Engineer

All blogs / AI / ML

STX Next Blog

stxnext.com/blog

Get inspiring strategies and actionable insights in Python, AI, and Data Engineering, rooted in STX Next's real-world projects.

AI / MLPythonSoftware / engineering practice

’24’25’26
Posts
260 from 29 Oct 2024 to 30 Oct 2026
Posting
weekly (92 in the last year)
Kind
company blog

2026 89

  1. Insurance Workflow Automation: How to Identify and Prioritize the Right Opportunities
  2. Data Engineering Provider Capabilities: What an End-to-End Partner Should Deliver
  3. Top 10 AI Development Companies for Insurance in Europe [2026]
  4. Best Snowflake Partners for Regulated Companies in EuropeOctober 22, 2026October 21, 2026
  5. Logo Detection for Sports Video: Engineering Lessons from a Real-World AI System
  6. How to Choose the Right RAG Architecture for Enterprise AI
  7. AI-Augmented Software Development: What 3-5× Faster Delivery Really Requires
  8. 10 Best Python IDEs & Code Editors 2026
  9. Building Claims Processing AI: Where Fine-Tuning Helps and Where Advanced RAG Becomes Essential
  10. Lessons from a Claims Intake Review: What Insurers Should Automate First
  11. How STX Next Validates AI Automation Opportunities Before Implementation
  12. How to Evaluate an AI Implementation Company Before You Commit to a Project
  13. Industrial Data Lakehouse Architecture: Connecting Machine Data with Manufacturing ContextOctober 15, 2026October 14, 2026
  14. 40 Python Libraries for Data Science, AI & Data Engineering in 2026
  15. 10+ Must-Read Books for CTOs
  16. Paginated APIs: Simple Ways to Fetch Data at Any Scale
  17. Mental Models and Expectations
  18. AI in FinTech: Threats, Risks, and Challenges
  19. AI in Healthcare: Enhancing Clinical Trials with Precision Tools
  20. AI Solutions: Empowering the Future of Businesses
  21. AI Use Cases in Oil and Gas: 3 Ways to Start Without a Moonshot Project
  22. How to Use a Burndown Chart for Transparent and Predictable Development
  23. Apache Iceberg for Manufacturing: Designing a Lakehouse Architecture for Industrial Data Platforms
  24. RAG for HR: Get More Efficient with AI
  25. AI in Finance: Use Cases & Tech Deep Dive
  26. AWS Sovereign Cloud: Benefits, Trade-offs, and Best-Fit Use Cases
  27. Best Python Engineering Books for 2026: 14 Expert Recommendations
  28. AI in Insurance Starts with Data: Building AI-Ready Insurance Data Platforms with Snowflake
  29. Case Study: Building a Progressive Web App to Spread the Wisdom of the Buddha in 41 Languages
  30. How to Enhance User Experience Through Design
  31. Cross-Platform Mobile Development: Benefits, Risks, and Tools for Your Next Mobile Project
  32. Escape from Merge Hell: Why Trunk-Based Development Beats Feature Branching and GitFlow
  33. The Evolution of Online Banking: Digital Banking Apps and Trends
  34. FinTech Product Development: How to Build Trustworthy Financial Institutions?
  35. Gen AI Security in User-Facing Products: Risks Teams Should Address Before Launch
  36. Getting Started with Machine Learning Using Python: A Tutorial
  37. How a Solid Data Engineering Lifecycle Powers Analytics and AI
  38. How Can You Manage Your Outsourced Development Team?
  39. How to Implement Predictive Analytics in Your Organization
  40. What Is Scrum, Anyway? An Introduction to Scrum Development
  41. Introduction to QA in Data Engineering [2026]
  42. Is Python a Good Choice for Finance?
  43. How do Large Language Models Work?
  44. Managing Software Developers: 9 Steps to Improve Your Process and Increase Team Productivity
  45. Data Engineering Fundamentals: Mastering the Basics
  46. DevOps Tools Overview: Monitoring Cloud Infrastructure with CloudWatch and OpsGenie
  47. The Most Interesting Companies Using Python
  48. Predictive Maintenance in Manufacturing: Benefits, Challenges, and How to Get Started
  49. Predictive Maintenance in Oil & Gas: Use Cases, ROI, Challenges + Implementation Roadmap (2026)
  50. How to Evaluate a Data Engineering Partner for Manufacturing Before Signing a ContractOctober 8, 2026October 7, 2026
  51. dbt Tests in Action: From Freshness Checks to Unit Testing
  52. Data Lakehouse Implementation: Why Projects Fail and Best Practices for a Successful Migration
  53. Digital Twin in Manufacturing: When It Creates Value and When It’s Just a Dashboard
  54. Predictive Maintenance in Aviation: How It Works, Key Challenges, and Implementation Roadmap [2026]
  55. Why Manufacturing Data Lakehouses Are the New Operating Model for OT/IT Integration
  56. From RAG Prototype to Production: Why a RAG Pipeline Fails at Scale
  57. Predictive Analytics in Healthcare: Use Cases, Benefits, and Opportunities
  58. AI Readiness Assessment: How to Prioritize Workflows, ROI, and Technical Foundations
  59. AI ROI in Oil and Gas: A Framework for Choosing What to Automate First
  60. Django vs. Ruby on Rails Framework Comparison: Which Is Better?
  61. Python 2.7 to 3.X Migration Guide: How to Port from Python 2 to Python 3
  62. How AI-Powered Prototyping Protects Development Budgets in Data Product Delivery
  63. How AWS Cloud Migration Transforms the DevOps Infrastructure: Client Success Story
  64. Azure Cost Optimization: Cut Cloud Infrastructure Spend
  65. Using the dbt_artifacts Package to Detect Performance Degradation and Improve Project Observability
  66. 9 Fintech Companies with Python in Their Tech Stack: Insurtech Edition
  67. What is AIOps? Transforming Modern IT Operations
  68. Applications of Machine Learning: Innovations Across Sectors
  69. AI in Energy: Companies, Use Cases & the Future
  70. AWS Glue Studio Guide: How to Build Data Pipelines Without Writing Code
  71. AI Soundtrack Creation: Insights from a PoC
  72. Cut Costs with Predictive Maintenance in Manufacturing
  73. AI Forecasting: Business Insights and Predictions
  74. Implementing Predictive Maintenance Strategies in Energy
  75. Mastering AI in Predictive Maintenance: Client Success Story
  76. Prescriptive vs. Predictive Maintenance: Which is Best?
  77. dbt Versioning: How to Version dbt models Without Breaking Downstream Consumers
  78. Data Ecosystem Explained – Key Elements & Benefits of Modern Data Solutions [2026]
  79. Big Data Technologies: Ranking and Guide
  80. Data Governance Challenges: What Breaks Before and After Implementation
  81. ETL vs ELT: Key Differences & How to Choose
  82. Data Engineering Best Practices: Implementation Guide
  83. Is Your Company Ready for Data Mesh?
  84. Predictive vs. Prescriptive Analytics: Definition & Uses
  85. Data Engineering as a Service: When Ongoing External Support Makes Sense
  86. The Real Challenges of Predictive Maintenance: Lessons from a Real Industrial Data Project
  87. Smart Factory: AI in Manufacturing Use Cases, Challenges + Implementation Guide
  88. Build Your MVP the Right Way: 5 Common Mistakes to Avoid (And How to Fix Them)
  89. Expert Reveals: How To Manage Large Teams at Hypergrowth Companies [2026]

2025 63

  1. Looker: How to Implement Business Intelligence Analytics Software at Your Company
  2. Python for Machine Learning: Why Use Python for ML?
  3. Python vs. C++: Which Language Wins For Your Project?
  4. How Predictive Analytics Is Transforming Manufacturing Efficiency
  5. A Beginner’s Introduction to Best Python Web Frameworks in 2022
  6. Python vs. C#: Comparison of Benefits, Differences, and Use Cases
  7. LLMs Powering Knowledge Retrieval: The Linde Story
  8. Beyond Algorithms: The Real Story Behind AI Innovations
  9. Building Human-Centered AI
  10. Designing with AI: Practical Tips for Better UX
  11. Top Django Websites: Real-World Examples & Insights
  12. From Manufacturing to Healthcare: Predictive Maintenance
  13. Software Outsourcing vs. In-House: Pros & Cons
  14. Predictive Analytics & ML for Business Growth
  15. Python for Game Development: Is It a Good Choice?
  16. Predict, Prevent, Perform: AI-Powered Maintenance in Energy
  17. RAG in Energy: Make Smarter Decisions with AI
  18. Generative AI vs Machine Learning: Differences & Uses
  19. Intro to dbt in Data Engineering: Transforming Data
  20. Machine Learning in Forecasting vs. Traditional Methods
  21. Maximize Your ROI with Predictive Maintenance
  22. Agile Best Practices for Product Development and Engineering Teams
  23. How Agile Roles Help You Manage Risk in Software Development Outsourcing
  24. The Best Machine Learning Blogs and Resources
  25. Building a Fintech Startup: How to Avoid Common Mistakes and Problems
  26. Top Business Intelligence and Analytics Software Tools Comparison: Tableau vs. Power BI vs. Domo vs. Sisense
  27. Hemiko Achieves 1,000% Performance Boost and 40% Cost Optimization with DevOps Cloud Infrastructure
  28. How to Compare Prices and Assess Estimations of Software Development Outsourcing Companies
  29. How to Develop, Deliver, and Deploy Better Software Faster
  30. How to Build a Great Developer Experience: A Practical Guide
  31. Managing a Team in Moments of Crisis by Using the DevOps Culture
  32. DevOps: How to Host a Simple Static Website on AWS S3
  33. How to Build a Spark Cluster with Docker, JupyterLab, and Apache Livy—a REST API for Apache Spark
  34. How to Architect a Well-Modularized System with Domain-Driven Design
  35. FastAPI vs. Flask: Comparing the Pros and Cons of Top Microframeworks for Building a REST API in Python
  36. Cybersecurity for Financial Services & FinTech Managers
  37. Flask vs. Django: Which Python Framework Is Better for Your Web Development?
  38. How to Leverage UX Analytics for Data-Driven Product Design
  39. How Scrum Can Go Wrong in Large Organizations
  40. How to Audit the Quality of Your Python Code: A Step-by-Step Guide (Free Checklist and Sample Report Inside)
  41. How to Audit the Quality of Your React Native Code: A Gentle Introduction (Free Step-by-Step Guide Inside)
  42. How to Build a Good API That Won’t Embarrass You
  43. How to Reduce Meetings and Increase Your Developers’ Productivity
  44. How to Scale Tech Teams: A Short Guide for CTOs
  45. Insurtech in 2021: Turning Challenges into Opportunities
  46. The KPI (R)evolution: How Implementing KPIs Can Help You Become a Data-Driven Business
  47. Machine Learning from the Woods: Exploring Tree-Based Ensemble Models in Python
  48. Top Resources for Machine Learning in Python: How to Get Started
  49. Case Study: Turning a Vision into a Product for a Major Sports Retailer
  50. The Manager’s Guide to JavaScript Web Frameworks
  51. Moderated and Unmoderated Remote Usability Testing: What Is It, How to Run It, and What Are the Benefits?
  52. 10+ Leading Companies Driving Innovation in Germany
  53. Polyglot Programming and the Benefits of Mastering Several Languages
  54. STX Next Product & Technology Consulting Team: How Does It Work and What Can It Do for You
  55. How to Hand Over Your Project to a Software Outsourcing Partner (Step-by-Step Checklist Inside)
  56. Why Use Python for Web Development? Pros, Cons, and Business Benefits
  57. Python Outsourcing: A Short Guide for CTOs and Technical Managers
  58. Best Django REST and Django Tutorial in 2022
  59. What Is the Best JavaScript IDE or Code Editor to Use in 2022? (According to Our Developers and the JavaScript Community)
  60. Who is a DevOps Engineer? A Complete Guide to the DevOps Engineer Role
  61. Event Sourcing in Python: Applications, Benefits, and Examples
  62. Google’s AMP: The Future of Mobile Explained with Examples
  63. Product Owner Responsibilities: The Career Path from Junior to Expert

2024 2

  1. The History of STX Next (and Our Next Big Step)
  2. Interview with GS1 Poland: Helping Solve Global Supply Chain Challenges with Custom-Made Software

Undated 106

  1. Python vs java comparison
  2. Python vs javascript comparison
  3. Python vs nodejs comparison
  4. Python vs php comparison
  5. Python vs ruby comparison
  6. R and python comparison
  7. React native vs flutter comparison
  8. React native vs ionic comparison
  9. React vs angular comparison
  10. Resolve conflicts your teams using nonviolent communication
  11. Retrieval augmented generation giving ai context for tailored results
  12. Revealing new potential in manufacturing hr with ai powered rag
  13. Safeguarding personal data
  14. Serverless computing explained comparing features and pricing saas iaas paas
  15. Software development contract standards
  16. Software development contracts fixed price time materials
  17. Software development outsourcing 5 holes your contract
  18. Software development philosophy
  19. Software development team lead
  20. Software engineering principles
  21. Software product analytics tools
  22. Software product design roi good ux
  23. Software product discovery workshops
  24. Software product requirements high level project specifications guide
  25. Software testing guide
  26. Solutions architect product consulting
  27. Sovereign cloud with cloudferro
  28. Sovereign cloud with stackit
  29. Step step product validation using impact mapping
  30. Tableau vs hex comparing bi platforms
  31. Technical leadership
  32. The future of adtech
  33. The future of security fraud detection machine learning
  34. The importance of data quality and model optimization
  35. The roadmap to ai success evaluating artificial intelligence strategies
  36. Three pillars scrum
  37. Three ways data engineering can empower financial institutions
  38. Top 10 blogs python
  39. Top 10 most expensive countries europe hire python developer
  40. Top 15 fintech companies include python their tech stack
  41. Top ai development companies for mid sized enterprises
  42. Top applications of ai in energy
  43. Top aws consulting partners
  44. Top companies netherlands
  45. Top cto tech blogs
  46. Top data engineering companies
  47. Top data lakehouse implementation companies for enterprises
  48. Top databricks implementation partners
  49. Top django packages libraries
  50. Top fintech companies us
  51. Top fintech insurtech companies uk
  52. Top fintech saas companies nordics
  53. Top maintenance strategies you cant ignore
  54. Top n8n implementation companies
  55. Top python apps
  56. Top python newsletters
  57. Top python nlp libraries
  58. Top react native apps
  59. Top snowflake implementation partners
  60. Top tech trends
  61. Top uk fintech lending companies
  62. Top uk proptech companies tech stack
  63. Top ways for the use of artificial intelligence in marketing
  64. Transform your transactions ai electronic payments advantage
  65. Typescript pros cons javascript
  66. Ui ux public transportation app
  67. Understanding cloud architecture
  68. Ux design q and a head product design stx next
  69. Vue vs react comparison
  70. Web app speed website performance
  71. What do you get when you hire manual software tester
  72. What is agentic ai
  73. What is ai in data analytics
  74. What is big data insights and opportunities for your business
  75. What is data engineering
  76. What is dbt in data engineering
  77. What is deepseek and is it revolutionizing ai
  78. What is devops
  79. What is devops bridging development and operations for seamless software delivery
  80. What is django
  81. What is enterprise ai and what does it offer
  82. What is generative ai tools models and applications
  83. What is hybrid cloud architecture
  84. What is lambda architecture
  85. What is machine learning as a service
  86. What is rag ai meaning and usage
  87. What is sovereign cloud
  88. What is the modern data stack
  89. What types of machine learning serve your business goals best
  90. Whats new python updates
  91. Whats the difference between a research ai project and an engineering ai project
  92. When to bring in external data engineering experts
  93. When to use dbt model contracts
  94. Why agentic ai is a backend engineering problem
  95. Why devops
  96. Why does your company need processes guide for managers
  97. Why migrate from python 2 to python 3
  98. Why our data engineers use python
  99. Why predictive maintenance projects fail key challenges
  100. Why production ai depends on strong python engineering
  101. Why python
  102. Why python should be technology choice your fintech
  103. Why test infrastructure as code
  104. Why use react native your mobile app
  105. Will ai replace programmers
  106. Will artificial intelligence replace artists