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Global slide inventory for the active corpus filters, with each row opening the slide detail view.

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Corpus coverage

319,975 slides

319,974 are described (100%), so the treemap can explain the corpus instead of just counting files.

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319,975
Described
319,974
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1

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Showing 319,974 described slides — 100.0% of 319,975 rendered pages

+Context & problem43,76713.7% · 6,592 docs+Data & charts72,62022.7% · 8,666 docs+Meta & navigation45,93614.4% · 9,739 docs+Recommend & act67,04121.0% · 9,324 docs+Cases & evidence31,2569.8% · 6,067 docs+Frameworks2,1230.7% · 1,232 docs+Appendix35,68211.2% · 6,614 docs+Other21,5496.7% · 5,566 docs

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Slide collection

31,201-31,260 of 319,975

filter-aware
45
Good times for a changeGood times for a change · Bain
Consulting deck Strategy consulting 1 hit
46
Good times for a changeGood times for a change · Bain
Consulting deck Strategy consulting 1 hit
47
The slide uses a waterfall-style diagram to illustrate the bottom-up aggregation of player sales.Good times for a change · Bain
Consulting deck Strategy consulting 1 hit
48
The slide uses a visual bridge to explain the delta between the old and new market perimeter.Good times for a change · Bain
Consulting deck Strategy consulting 1 hit
49
Good times for a changeGood times for a change · Bain
Consulting deck Strategy consulting 1 hit
01
Slide 1
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Is1 hit
02
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Is1 hit
03
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Is1 hit
04
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Is1 hit
05
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What IsLoop · Golden Circle1 hit
06
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What IsLoop · Golden Circle1 hit
07
The slide highlights the convergence of data availability, hardware, software frameworks, and algorithmic innovation.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What IsLoop · Golden Circle1 hit
08
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What IsLoop · Golden Circle1 hit
09
The slide serves as an educational visual aid for a machine learning presentation.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What IsLoop · Golden Circle1 hit
10
The slide provides the standard OLS (Ordinary Least Squares) formulas for linear regression, though the title mentions 'Gradient Descent' which is an alternative optimization method not explicitly shown in the formulas.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What IsLoop · Golden Circle1 hit
11
The slide uses a standard linear regression example to illustrate basic ML concepts.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Is1 hit
12
The slide explains the derivation of beta coefficients for a simple linear regression model.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Is1 hit
13
The slide sets up a transition from closed-form solutions to iterative optimization.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Is1 hit
14
The slide contrasts the iterative nature of gradient descent (no closed-form formula for coefficients) with the model structure and cost function.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Is1 hit
15
The slide illustrates the iterative nature of gradient descent by showing a poor initial fit (red line) for the data points.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Is1 hit
16
The slide illustrates the iterative nature of gradient descent by showing a poor initial fit (red line) for the data points.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Is1 hit
17
The slide uses a structured layout to define model components (structure, cost function, coefficients, resulting model) and shows the resulting regression line on a scatter plot.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Could BeLoop · Mece Breakdown1 hit
18
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Could BeLoop · Mece Breakdown1 hit
19
The slide uses a node-link diagram to illustrate the mathematical structure of three different machine learning models.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Could BeLoop · Mece Breakdown1 hit
20
The slide illustrates the difference between a single sigmoid output node (binary/single-label) and multiple sigmoid output nodes (multi-label/multi-class) in a neural network context.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Could BeLoop · Mece Breakdown1 hit
21
The slide illustrates a standard feed-forward neural network with an input layer, two hidden layers, and an output layer, specifically applied to the Iris dataset classification problem.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Could BeLoop · Mece Breakdown1 hit
22
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Could BeLoop · Mece Breakdown1 hit
23
Explains the technical process of how GPT models convert text to tokens and predict the next token as a classification task.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Could BeLoop · Mece Breakdown1 hit
24
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Could BeLoop · Mece Breakdown1 hit
25
Explains the mechanism of adding positional encoding vectors to word embedding vectors to preserve sequence information.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Could BeLoop · Mece Breakdown1 hit
26
The slide uses a simple linguistic example to explain the concept of self-attention in AI models.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Could Be1 hit
27
This slide illustrates the core linear algebra operations (matrix multiplication) used in the Transformer architecture's attention mechanism.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Could Be1 hit
28
The slide explains the mathematical steps of the self-attention mechanism in transformer models.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Could Be1 hit
29
The slide uses a direct screenshot of a ChatGPT interface to illustrate the capabilities of transformer architecture.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Could Be1 hit
30
The diagram maps the standard Transformer architecture (Attention is All You Need) to a specific example involving actuarial text processing.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Could Be1 hit
31
The slide illustrates the reduction in required demonstrations as models move from fine-tuning to zero-shot learning.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · What Could Be1 hit
32
The slide uses a circular process diagram to represent a linear 4-step sequence.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New Bliss1 hit
33
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New Bliss1 hit
34
The slide shows a side-by-side comparison of a Jupyter notebook environment and the GitHub Copilot suggestion interface.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New BlissLoop · Quick Win Big Bet1 hit
35
The slide shows a two-column layout: left side details data loading steps, right side provides Python code for plotting histograms with average target overlays.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New BlissLoop · Quick Win Big Bet1 hit
36
The slide demonstrates a specific use case for LLMs in technical workflows.GPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New BlissLoop · Quick Win Big Bet1 hit
37
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New BlissLoop · Quick Win Big Bet1 hit
38
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New BlissLoop · Quick Win Big Bet1 hit
39
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New BlissLoop · Quick Win Big Bet1 hit
40
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New Bliss1 hit
41
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New Bliss1 hit
42
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New Bliss1 hit
43
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New Bliss1 hit
44
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New Bliss1 hit
45
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New Bliss1 hit
46
GPT-3 and the actuarial landscapeGPT-3 and the actuarial landscape · Oliver Wyman
Consulting deck Strategy consulting Beat · New Bliss1 hit
01
Slide 1
Homeowner availability studyHomeowner availability study · Oliver Wyman
Consulting deck Strategy consulting 1 hit
02
Homeowner availability studyHomeowner availability study · Oliver Wyman
Consulting deck Strategy consulting 1 hit
03
Homeowner availability studyHomeowner availability study · Oliver Wyman
Consulting deck Strategy consulting 1 hit
04
Homeowner availability studyHomeowner availability study · Oliver Wyman
Consulting deck Strategy consulting Beat · Situation & Context1 hit
05
The slide is structured as a two-column layout comparing 'Observations' on the left and 'Affordability & Availability Implications' on the right.Homeowner availability study · Oliver Wyman
Consulting deck Strategy consulting Beat · Situation & Context1 hit
06
DCC stands for Defense & Cost-Containment Expenses.Homeowner availability study · Oliver Wyman
Consulting deck Strategy consulting 1 hit
07
Includes a table of annual growth metrics and a line chart of monthly premiums with event annotations.Homeowner availability study · Oliver Wyman
Consulting deck Strategy consulting 1 hit
08
The slide uses a line chart for time-series growth and a histogram for distribution of carrier-level variation.Homeowner availability study · Oliver Wyman
Consulting deck Strategy consulting 1 hit
09
The map uses a color scale from green (low) to red (high) to represent the percentage of building structures in high-risk areas.Homeowner availability study · Oliver Wyman
Consulting deck Strategy consulting 1 hit