The rise of AI (especially generative AI) is creating a general-purpose technology revolution comparable to past great innovations. Recent studies show vast task and job exposure: for example, ~80% of U.S. workers have at least 10% of their tasks exposed to LLMs, and 19% have half or more tasks exposed. Brookings finds over 30% of workers could see ≥50% of tasks disrupted by generative AI. The economic potential is enormous (McKinsey estimates ≈$4.4 trillion in productivity gains globally), but gains may be delayed. In manufacturing, AI adoption often induces a short-term productivity dip (a “J-curve”) before stronger growth in output and revenue. Moreover, AI’s effects vary by sector: McKinsey reports that healthcare, tech, media/telecom, and even agriculture are investing heavily now, whereas finance, consumer retail, energy, and logistics are (so far) slower to invest. These differences reflect that AI’s impact comes through multiple mechanisms – from automation of routine tasks to augmentation of knowledge work, the creation of entirely new products and services, platformization of industries, and strong data/network effects that favor large incumbents. Emerging AI-native sectors (e.g. synthetic biology, AI-powered healthcare diagnostics, automated creative services) are already taking shape.

Healthcare Signal Processing and Monitoring Analytics

It includes: Exploratory Data Analysis (EDA) with dplyr and ggplot2 Group means by channel ANOVA to test for differences in conversion rates across channels Post-hoc Tukey HSD test if ANOVA is significant Enhanced boxplot with jitter for conversion rates by channel Density plot to visualize distribution shifts Channel-wise summary statistics This provides a thorough and visually engaging statistical analysis for marketing optimization impact.

With Trend and Seasonality

Satya's Impact Analysis of Trump on CT Manufacturing Employment

This includes metals

ARIMAX

Sales and sentiment analysis

forecasting

KNN Classification

Dygraph

Using the Dygraph to represent the time series data

Download the following two books from project Gutenberg # "The Fall of the House of Usher" by Edgar Allan Poe (#932) # & # "The Adventure of the Red Circle" by Arthur Conan Doyle (#2345) # Use the nrc dictionary. # conduct an analysis of emotional words in both texts # First, emotional words without positive and negative sentiment # Second, just positive and negative sentiment # Provide your results in a Quarto Document; include visual displays.

Scatter Plot and Line Plot

employee satisfaction and last evaluation using Box Plots and Correlograms

Created the histogram for employee satisfaction and Evaluation. Bar plots as well.

Using R doing Brand Analysis