Market Insights from Artificial Intelligence

early themes are evolving....

do you see them?

Early Investment Signals from Artificial Intelligence

The ability to see evolving themes is a strategic advantage. Our proprietary artificial intelligence and knowledge graph discovers early patterns or themes in complicated and dynamic markets and societies. Thousands of weekly news, blog and social media signals often hide evolving themes. Interesting companies or new products are increasingly connected to other themes, companies, competitors, customers and influencing market forces. Leading political leaders are increasingly connected to issue themes that are important to their constituents. Our AI discovers these early connections and tracks them over time.

Ultimately the public will realize what our artificial intelligence discovers very early in the theme investment life cycle

often long after our clients have achieved an early mover advantage

[Investments can be in capital markets, strategic corporate planning or political campaigns.]

General Theme Investment Cycle

Emergent themes are where investment opportunities hide, until they become obvious and less attractive as investments

Nobody can guarantee the future. Nevertheless an advantage can be created by seeing what our AI sees - early discoveries of emerging and increasingly connected market and societal themes.

Examples: Financial Stock Investing

A Measure of Actual Performance

Throughout 2019 and into 2020, a portfolio of eight themes composed of 28 different stocks significantly beat the market and most hedge funds.

This stock market measure is also useful evidence for corporate strategic decision making. Three themes shown below.

Early Theme Discovery Portfolio Return

[pre pandemic fear reaction]

+34%

Early Theme Discovery Portfolio vs S&P 500

[pre pandemic fear reaction]

+16%

Early Theme Discovery Portfolio Annualized

[pre pandemic fear reaction]

+30%

THEME 095: Silicon on the Edge Will Outperform S&P 500

GO TO AI CPU's IN CLOUD ECOSYSTEM THEME RADAR

Analysis: The primary thesis of this theme is the pushing of intelligence and AI to the edges of cloud networks, thereby enabling faster network decisions without the need to transmit data and then wait for computed reactions from the central cloud.

Example: Corporate Strategic Planning

2016 Themes Discovered

2020 Themes Realized

Early Theme Discoveries for major oil company

Early Themes Proven Prescient

Example: Product Development

Beauty Ecosystem Market Themes: Year 2020 Report

THE REPORT:
256,000 unstructured news/blog signals were collected and analyzed over 2020 with Natural Language Processing (NLP) and Artificial Intelligence (AI). Early market themes were discovered as strategic inputs for new products, acquisitions and business models.

Example: Societal Messaging Campaigns

THE THREE SOCIETAL CLASSES:
These classifications have useful predictive utility. We classify someone into one of these categories to better predict their future behaviors.

Classifications like liberal, progressive, conservative, Socialist, Capitalist, Marxist, Communist, Party X, Party Y, left, right, red, blue, etc. are increasingly useless to predict or influence behaviors especially voting. #thesurvivalclass

Our theme discovery artificial intelligence

Knowledge Graph

Our artificial intelligence is based on creating knowledge graphs based on competitive context. In these contexts, "survival of fittest" dynamics are created to discover winning companies and ideas.

Event Content

Themes are the sum of countless events that are connected with our artificial intelligence - even if not visible without AI assistance. Thousands of news, blogs and other unstructured inputs are some of the the raw inputs for our intelligent agent engines.

Artificial Intelligence

Our servers conduct billions of daily competitive relationship seeking calculations. Event dots are connected over long periods to discover and track themes. Our artificial intelligence highlights the interesting themes, suppressing the noise.

Analyst Supervision

Our analysts assist our AI with supervised machine learning. Most importantly, our analysts deliver strategic and tactical intelligence to our clients - leveraging the powerful AI theme discovery network.

Theme Discoveries

Themes are early emerging and increasingly connected indications of market and societal directions. Discovery Patterns enables investors and strategists to leverage artificial intelligence as a competitive advantage.

The Science, Engineering & Results of Our Artificial Intelligence

Discovery Patterns [DP] has created an artificial intelligence platform for unstructured big data that amplifies the worldwide market insights of human analysts, investors, competitive intelligence professionals and strategic planners. One of the outputs of DP analytics are Expanded Market Sentiments. These expanded sentiment discoveries can be used to anticipate actual market movements ahead of prevailing market sentiments. Two case studies will illustrate the process of creating expanded market sentiments, then discovering mismatches and investing opportunities based prevailing market sentiments. This paper demonstrates the power of DP AI for superior investor/analyst decisions in the era of big data.

Oliver Wendell Holmes, Jr. once said “I would not give a fig for the simplicity this side of complexity, but I would give my life for the simplicity on the other side of complexity.” All classification systems are products of simplicity based on complexity. The overarching trend of the basic sciences like chemistry, biology and genetics are ever granular investigations at the, atomic, species and genetic levels. These complex and granular investigations reveal the fundamental and simple patterns of nature. And once these fundamental patterns are discovered, it is possible to predict missing pieces and predict future outcomes under innovation, evolution, interaction or stress.

So too with recent advancements in business data. Through the application of IBB, an ultra-granular industrial classification system, it is now possible to distill great complexity into simplicity and make early market discoveries of companies and industries as they evolve and morph under competitive innovation, evolution, interaction and stress. This paper will first define the ultra-granular industrial classification system IBB, in the context of existing scientific and industry classification systems. Then this paper will demonstrate simplified investment decision making on the other side of ultra-granular industry complexity.

Useful context is the latest frontier of Internet information. Google is pioneering the next stage of Internet search with its Knowledge Graph, which aims to understand the searcher’s intent and the contextual meaning of his/her search terms . Facebook has been developing its Social Graph for people to people context by learning the personal relationships of its users.

Now the Industry Graph, created by Industry Building Blocks (IBB) and Discovery Patterns, is another source of useful decision making context. The Industry Graph is being developed to serve competitive strategy and financial decision making. The Industry Graph first creates useful competitive context around the companies competing in 16,000 granular industries. This high degree of granularity enables useful intra-industry and inter-industry financial and strategy analyses. The Industry Graph creates a real time situational awareness by prioritizing unstructured information like news and social media that might indicate interesting industry trends or changes within the industry composition and broader inter-industry ecosystem. This Industry Graph context is the foundation for superior searching, discovery, competitive analysis, situational awareness, market anticipations, financial tracking and investing strategies.

Our artificial intelligence for theme discoveries are designed to be trusted assistants to any decision maker who must survive in competitive marketplaces. They are smart and cost effective. They have the advantage of leveraging our contextually relevant dynamic ecosystems. Designed around natural human neurosciences, our theme AI also leverages the amazing power of eye-brain awareness for competitive survival. We transform unstructured big data streams into real-time competitive patterns that are either evolving or dissipating. Patterns can be simple text discoveries or graphical representations that resonate the powerful threat/opportunity pattern detection centers of the brain, thereby significantly enhancing competitive awareness.

Most of the world's market intelligence is hidden in overwhelming flows of news, blogs, texts, Tweets, social media and multimedia. All these are examples of unstructured data. This data is messy and unorganized, unlike the clean structured data that is produced in industrial monitoring. We have invented a unique solution. We build portfolios of automated analytics that distill theme discoveries and other situational awareness insights with our unique knowledge graph, discovery analytics and visualizations. No other analytic provider has these market intelligence competencies.

The problem with the big data analytics, is that they were designed first for computer cycles - not the human awareness needs of managers and analysts. The results are complex tool kits and dashboards best suited for data scientists, thereby removing the decision makers from the original data and the real-time interpretation process. Our intelligence services are designed for immediate client consumption without the need for client data scientist pre-processing.

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Our Business Purpose

We are a sophisticated market intelligence company. We create and maintain ecosystems of artificial intelligence agents that deliver continuous market theme discoveries and tracking. Our AI brings our clients unique real-time insights while minimizing research costs.

Early Investment Signals from Artificial Intelligence

Ultimately the public will realize what our artificial intelligence discovers very early in the theme investment life cycleoften long after our clients have achieved an early mover advantage

General Theme Investment Cycle

Nobody can guarantee the future. Nevertheless an advantage can be created by seeing what our AI sees - early discoveries of emerging and increasingly connected market and societal themes.

Examples: Financial Stock Investing

A Measure of Actual Performance

Early Theme Discovery Portfolio Return

+34%

Early Theme Discovery Portfolio vs S&P 500

+16%

Early Theme Discovery Portfolio Annualized

+30%

THEME 095: Silicon on the Edge Will Outperform S&P 500

Example: Corporate Strategic Planning

2016 Themes Discovered

2020 Themes Realized

Early Theme Discoveries for major oil company

Early Themes Proven Prescient

Example: Product Development

Beauty Ecosystem Market Themes: Year 2020 Report

Example: Societal Messaging Campaigns

Our theme discovery artificial intelligence

Knowledge Graph

Event Content

Artificial Intelligence

Analyst Supervision

Theme Discoveries

The Science, Engineering & Results of Our Artificial Intelligence

Contact us

Our Business Purpose

Ultimately the public will realize what our artificial intelligence discovers very early in the theme investment life cycle

often long after our clients have achieved an early mover advantage