Embedded analytics: opportunity and drivers Embedding analytics inside applications converts passive interfaces into action-oriented products that keep users in-context, reduce friction, and create new monetization or retention levers. Rather than forcing customers to export data or toggle to separate BI tools, in-app analytics deliver immediate insights—personalized reporting, anomaly alerts, and

Speculative sampling overview Speculative sampling speeds up autoregressive generation by splitting work between a small, fast draft model that proposes token candidates and a larger, high-quality target model that verifies and accepts or rejects those proposals. The draft generates short sequences (chunks) quickly; the target evaluates them and either accepts

Define goals and KPIs Start by tying analytic work to a measurable business outcome: what specific behavior in category pages will move revenue—more product clicks, higher add-to-cart rate, reduced exits, or larger average order value. Quantify each objective with a timebound target and a baseline (for example: increase category→PDP click-through

Quiz Overview and Instructions This quiz contains 12 challenging problems designed to stretch your advanced SQL skills across real-world tasks: writing set-based queries, composing and optimizing CTEs, applying window functions, debugging unexpected results, and reasoning about indexes and execution plans. Expect a mixture of question types—write-the-query prompts that require exact

Set goals and success metrics Begin by defining one clear, business-aligned outcome (e.g., reduce contact center calls, increase self-serve completion, or raise conversion) and express it as a measurable KPI. Pair that primary KPI with 2–3 guardrail metrics to prevent gaming: examples include task completion rate, average time-to-resolution or turns-to-complete,

Quick overview: What is a CNN Convolutional neural networks are a type of deep learning model built to process grid-like data (most commonly images). Instead of treating every pixel independently, they apply small learnable filters that slide across the image to detect local patterns—edges, textures, and simple shapes—producing feature maps

Define Co‑Creative AI Co-creative AI refers to systems designed to collaborate with students and teachers as generative partners rather than as passive tools. Instead of fully automating tasks, these systems propose ideas, offer scaffolds, surface alternatives, and respond to human direction in iterative cycles—supporting ideation, revision, assessment and reflection. In

Multimodal LLMs Overview Multimodal LLMs combine language understanding with non-text inputs—images, audio, video, and structured data—so a single model can reason and generate across modalities rather than treating each silo separately. They fuse modality-specific encoders (e.g., vision transformers or audio front-ends) with powerful language decoders or unified transformer backbones, enabling

Why DuckDB for Local Analytics DuckDB brings a desktop-grade analytical engine to your laptop: fast, SQL-first queries directly over Parquet (and other columnar files) with minimal setup. Single-process, embeddable engine: no server to run or maintain — use the CLI or embed in Python/R/notebooks with a few lines of code.