Early Investment Signals from Artificial Intelligence

The ability to see evolving market themes is a strategic advantage. Our proprietary artificial intelligence discovers early patterns or themes in complicated and dynamic markets. 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. Our AI discovers these early connections and tracks them over time. Ultimately the general market will realize what our AI discovered very early in the theme investment life cycle.
[Investments can be in capital markets or strategic corporate planning.]

Specific Theme Discovery & Tracking Examples

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 themes.

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 094: Microsoft Will Outperform General Cloud Indices

GO TO MICROSOFT IN CLOUD ECOSYSTEM THEME RADAR

Analysis: Early theme discoveries were prescient about Microsoft's upside potential

THEME 304: Industrial Internet Platforms Will Outperform S&P 500

GO TO FUTURE FACTORY ECOSYSTEM THEME RADAR

Analysis: Early theme discoveries have not yet proven themselves in stock prices. Time will tell if the Industrial Internet of Things becomes an exciting market opportunity.

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.

Our market focused artificial intelligence

Knowledge Graph

The IBB database organizes the world economy into 20,000 ultra-granular industries. Thousands of companies are mapped to unique lines of business. Theme potentials are revealed.

Event Content

Themes are the sum of countless market 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. Market event dots are connected over long periods to discover and track market 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 market intelligence to our clients – leveraging the powerful AI theme discovery network.

Theme Discoveries

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

More Theme Discovery & Tracking Examples

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THEME 009: Emerging Indo Pacific Alliance is an Early Indicator of Macro Investment Themes

GO TO INDO PACIFIC ECOSYSTEM THEME RADAR

Analysis: Most of market is looking for signals that US trade with China will resume, in sync with historical patterns. This is one overarching theme. Another overarching theme is that a radically new trading dynamic will emerge, perhaps synchronized with an emerging Indo Pacific geopolitical strategy.

________

THEME 093: Microsoft Has Upside Potential in Several Dynamic Ecosystems

Analysis: Theme 094 below certainly highlights Microsoft's stock performance. There remain other interesting themes that can further propel MSFT success.

Portfolio of Microsoft Related Themes	Theme Status	Eco- systems	Analysis	Real-Time Theme Radars & Tracking Reports
Cloud platforms continue to be a growth market		Cloud Ecosystem	Microsoft Azure continues to be a leading competitor against Amazon AWS	GO TO MICROSOFT THEME IN CLOUD RADAR

Microsoft has been a successful competitor and leader of Cloud Platform services		Cloud Ecosystem	Microsoft stock is now running ahead of SKYY Cloud ETF since the start of Theme 094	THEME #094 TRACKING REPORT

The Industrial Internet of Things (IIOT) is a growth opportunity in Cloud Computing		Cloud Ecosystem	IIOT market leadership is yet to be established	GO TO IIOT THEME IN CLOUD RADAR

Augmented Reality is an ongoing opportunity for Microsoft		Alternative Realities	Microsoft has been a leader with HoloLens	GO TO MICROSOFT THEME IN ALTERNATIVE REALITIES RADAR

Artificial intelligence is a strategic imperative for Microsoft		AI Ecosystem	Microsoft is keeping up its AI capabilities versus Google, Amazon and other tech companies	GO TO MICROSOFT THEME IN ARTIFICIAL INTELLIGENCE RADAR

Autonomous car applications are an opportunity for Microsoft		Robotics Ecosystem	Autonomous cars (robo cars) are a central theme influencing all other robotic ecosystem themes	GO TO TRANSPORTATION THEME IN ROBOTICS RADAR

Connected healthcare is an emerging opportunity for Microsoft		Connected Healthcare	Microsoft will compete with big tech competitors like Apple, Amazon and Google	GO TO MICROSOFT THEME IN CONNECTED HEALTHCARE RADAR

Gaming is an ongoing opportunity for Microsoft		Gaming Ecosystem	In spite of growing competition, Microsoft has infrastructure and device advantages	pending radar ecosystem

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.