Overview of Data Analytics and Blockchain Concepts

Descriptive Analytics

Explains what happened.

Diagnostic Analytics

Explains why something happened.

Predictive Analytics

Forecasts what may happen.

Prescriptive Analytics

Recommends what should be done based on forecasts.

Effective Data Visualization

Clear purpose/audience, correct chart type, and simplicity ('less is more').

Bar Chart

Use to compare different categories or groups.

Pie Chart

Use to show proportions of a whole.

Line Chart

Use to show trends over time.

Map

Use to show spatial data or geographic patterns.

Issues with Generative AI

Inaccuracy, bias, toxicity, misuse of personal data, and extrapolation errors.

Alignment Problem

The challenge of ensuring AI behaves according to human values and intentions.

HHH Framing

Helpful, Honest, Harmless.

Transformer Key Innovation

Attention mechanisms.

Big AI Requirements

Very large neural networks, massive training data, and powerful compute.

ERP Item Life Cycle

Stages from item creation to disposal or discontinuation.

Accounts Payable Process

Includes creation of vendor class and managing outgoing payments.

Accounts Receivable Process

Manages incoming payments and customer transactions.

Hash Function

Transforms input into fixed-length output; one-way function.

SHA-256

A widely-used hash function developed by the NSA.

Digital Signature Inputs

Transaction data and sender's private key.

Signature Verification Inputs

Transaction data (digest), digital signature, sender's public key.

Validator Node

Checks if the message was created by the owner of the private key.

Blockchain Block Connection

Cryptographic hash functions.

Blockchain Consensus

Mechanisms that ensure agreement in the network.

Bitcoin vs SWIFT

Bitcoin is decentralized and cryptographic; SWIFT is a centralized messaging network.