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Elizabeth Sramek
Written by
Elizabeth Sramek

Elizabeth Sramek is an independent advisor on search visibility and demand architecture for B2B companies operating in high-competition markets. Based in Prague and working globally, she specializes in designing search presence for AI-mediated discovery and building category visibility that survives algorithmic shifts.

Articles
Automated Data Analysis · 5 Oct 2026

Aspen Digital Research and Market Intelligence: What It Is, How It Works, and Why It Matters for Data-Driven Organisations

Aspen Digital provides institutional-grade research for digital asset markets (crypto, DeFi, blockchain). What sets specialist providers apart: on-chain analytics capability, protocol-level engineering understanding, regulatory expertise, and independence from the assets they cover.

Automated Data Analysis · 2 Oct 2026

The 8 Best Free AI Tools for Market Research in 2026: Honest Reviews for Data-Driven Decisions

Best free AI market research tools 2026: ChatGPT for synthesis, Perplexity for verifiable competitor research, Google Trends for trend analysis, Julius AI for survey data, Semrush free tier for digital competitive analysis, and AnswerThePublic for customer question mapping.

Automated Data Analysis · 29 Sep 2026

AI/ML Consulting and Development Services: A Complete Enterprise Buyer’s Guide to Sourcing, Pricing, and Engagement Models

AI/ML consulting defines strategy and use cases; development services implement them. A consulting-first approach prevents the 60-85% failure rate in AI/ML projects. Key sourcing destinations: India (best value), Eastern Europe (high quality), US boutiques (frontier expertise). Choose engagement models that match your problem clarity.

Automated Data Analysis · 26 Sep 2026

How to Choose the Best AI/ML Development Company in 2026: A Decision Framework for Enterprise Buyers

A rigorous framework for enterprise buyers: define your problem first, evaluate portfolio relevance not size, scrutinise the team not just the company, assess data practices rigorously, select the right engagement model, and demand MLOps and production readiness evidence before signing.

Automated Data Analysis · 23 Sep 2026

AI Development Services vs. Machine Learning Development Services: Key Differences and When to Use Each

AI development and ML development are not the same thing. AI builds systems from explicit rules; ML builds systems that learn from data. Choose AI when rules are known and stable. Choose ML when you have data and need prediction. Getting this wrong wastes budget and delivers wrong results.

AI Tools · 22 Sep 2026

How to Analyze Research Papers Faster with AI: A Data Scientist’s Workflow

AI can't replace reading the papers that matter, but it's an excellent filter for deciding which ones do. Here's my actual triage workflow.

Automated Data Analysis · 20 Sep 2026

M.Sc. in Data Science and Artificial Intelligence From BITS Pilani: The Complete 2026 Program Guide

BITS Pilani's M.Sc. in Data Science & AI is a 2-year online degree. Cost: INR 38,500/trimester (INR 2.31L total). DEB-approved. Includes 4 major projects and a professional portfolio. Best for working professionals seeking a recognised credential without career interruption.

Machine Learning · 15 Sep 2026

F1 Score in Machine Learning: Formula, Range, and How to Interpret It

F1 score, precision, and recall: what they mean, when to use each, and why F1 beats accuracy on imbalanced classification problems.

Data Science · 8 Sep 2026

Artificial Intelligence vs. Machine Learning vs. Data Science: What’s the Real Difference?

AI, ML, and data science get used interchangeably, but they're not the same thing. Here's the practical distinction that actually matters for hiring and scoping.

Automated Data Analysis · 8 Sep 2026

How AI Can Generate Statistical Reports

How generated statistical reports should be produced: from fitted structure to sentences, with checkable claims.

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