November 3, 2023

IntualityAI's 'big picture' market analysis says no new trading yet!

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"Where can IntualityAI's be used?", by Grant Renier 

Dr Howard Rankin writes, "IntualityAI in healthcare and education"

Michael Hentschel discusses "IntualityAI in retail"

IntualityAI continues to 'Sleep', since 9/12. See intualityai.com/predictions for its daily status.

TRADING PERFORMANCE RESULTS OF THE INTUALITYAI SYSTEM HAVE MANY INHERENT LIMITATIONS.  NO REPRESENTATION IS BEING MADE THAT ANY ACCOUNT WILL OR IS LIKELY TO ACHIEVE PROFITS OR LOSSES SIMILAR TO THOSE SHOWN. IN FACT, THERE ARE FREQUENTLY SHARP DIFFERENCES BETWEEN REPORTED PERFORMANCE RESULTS AND RESULTS SUBSEQUENTLY ACHIEVED BY THE SYSTEM OR PORTFOLIO. THERE ARE NUMEROUS OTHER FACTORS RELATED TO THE MARKETS IN GENERAL OR TO THE IMPLEMENTATION OF THE SYSTEM WHICH CANNOT BE FULLY ACCOUNTED FOR IN THE PREPARATION OF REPORTED PERFORMANCE RESULTS AND ALL OF WHICH CAN ADVERSELY AFFECT ACTUAL TRADING RESULTS.

Where can IntualityAI's be used?

For the most part, current AI (GPTs) does not predict and when it attempts to predict in complex environments the standard statistical methodologies do not work well. There are lots of reasons for this, the main one being the lack of relevance these math tools have to real-world human decision-making. The following are the criterion for IntualityAI applications.

Howard and Michael write about how these criterion apply to 4 out of the 20+ application sectors we have identified.

by Grant Renier, Intuality Chairman, engineering, mathematics, behavioral science, economics

IntualityAI in healthcare and education

The application of IntualityAI to developing technologies in different sectors will grow exponentially over the next few years. AI will impact almost every area of life supported by IntualityAI which has major contributions to the field in general. IntualityAI’s ability to make real time decisions and predict future events with accuracy in even complex environments will demonstrate and enhance its potential.

One of the most promising applications is in the healthcare sector, which is expected to grow to a $6.6 billion global market in the next few years. IntualityAI already has shown that it can significantly increase the critical time needed to identify potentially fatal conditions, like epileptic seizures and heart arrhythmias. This is a major development in preventative medicine, and will be one of the most significant advances. Predicting critical events from data from wearable devices will save many lives and take preventative medicine to a new level.

In addition to alerts, AI will enhance patient engagement by being more specific about an individual’s health risks and providing education and support around the lifestyle changes that can improve health in the vast majority of cases. Indeed, I have argued that one of the best additions to healthcare systems would be the availability of lifestyle coaches who could engage and guide patients to lifestyle changes that would significantly improve their health. For examples, most people with Type 2 Diabetes could significantly improve, or reverse their condition, with healthier eating. AI guided coaching could fill that massive gap.

Another highly promising sector is education. According to a report by Research and Markets, the global market for AI in education is expected to reach $3.7 billion by 2025.

IntualityAI’s predictive analytics could identify likely areas of success for individuals, thus making both the institutional and personal choices more appropriate. Another personal interest of mine is making any subject relevant by presenting it in the context of the student’s interests. I once had a parent tell me that his son was not interested in “academic” subjects and was only interested in basketball. Well, you could teach any topic, from physics to math, from history to geography using basketball metaphors. The problem is that is a very time and labor intensive process – unless you get an AI application to do it.

As in almost all sectors, the application of AI in health and education is only limited by imagination. And IntualityAI can significantly aid such applications with its uniquely human intelligence contribution and unparalleled accuracy.

by Howard Rankin PhD, Intuality Science Director, psychology and cognitive neuroscience

IntualityAI in retail

Important to prioritizing IntualityAI’s contribution to various market sectors is whether the algorithm represents unique and standalone creation of value, and whether it can be integrated easily with other methods currently in use to maximize value. In many cases, we can supplant current optimization methods, but we will be relatively more popular and welcome if we are supplementary and in tune with existing efforts. It is not always the best strategy to be simply disruptive: market penetrations and acceptance is often best gradual and collaborative with what users already use. 

That means that while we are clearly disruptively effective with a single new algorithm, we are not disrupting existing methodologies. This is also more politically acceptable after our customers have invested huge levels of resources in their existing predictive environments and AI efforts.

With limited resources thus far, IntualityAI has chosen Stock Markets, Sports Wagering, Health Alerts, and Election Trends as “showcase” applications for IntualityAI. But there are many other major opportunities, which can be examined and tested with greater levels of application testing resources. A million dollars in market research will now potentially yield some of our future most promising market potentials.

Where to look first? We have a list of two dozen identified potential sectors among even longer lists, and we asked our “staff” of AI utilities to guide us to the largest potentials, which we are refining from there with additional AI research tools. Initial market size rankings indicate the following list to examine: Social Good, Entertainment, Cyber Security, Marketing, Finance/Banking, Stock Market, Manufacturing, Retail, Healthcare, Election-Opinion, Gaming, Insurance, Environment, Real Estate, Transportation, Sports, Agriculture, Education, Human Resources, Travel, Fashion,, Economics, Art and Culture, Legal.

 Note that our present 4 showcase picks are neither the largest nor the smallest potentials. Understanding which applications represent the best prospects specifically for us requires deeper insights.

So we now undertake some deeper research into specific additional fields of opportunity, where large markets need AI advances, and where IntualityAI is as yet totally unknown. We know we can contribute to efficiency and monetization in all these fields, but these are huge market domains and we need to focus in on where our advantages and additional resources can be most effectively applied. So in the next few essays, we will share with you some of the market segments and Market sizes involved, some of which will lead to finding or shifting more resources to penetrate.

Let’s summarize one potential large market opportunity for this week’s essay. Retail may be seen as a $15.3-$23.6 billion dollar market opportunity for us. Next week, we feature Cyber Security, as large as $42.2 billion by 2025.

Retail Sector Predictive AI Applications:

IntualityAI’s Predictive decision-assisting AI software can be used in a variety of retail applications, including:

• Predicting customer demand and optimizing pricing and inventory management

• Creating personalized offers instantly, based on trained LLM’s empowered by Intuality prediction.

• Improving customer loyalty by maintaining instant and continuous service contact with new opportunities.

• Predicting customer demand and optimizing pricing and inventory management with higher accuracy.

Predictive decision-assisting AI software can be used to predict customer demand for products and services. This information can then be used to optimize pricing and inventory management. For example, a retailer can use a predictive decision-assisting AI software to predict how many of a particular product they will need to sell in a given period of time. This information can then be used to set the price for the product and to ensure that there is enough inventory in stock to meet demand.

Predictive decision-assisting AI software can be used to create personalized offers for customers. This can be done by analyzing the customer's past behavior and by predicting their future interests. For example, a retailer can use a predictive decision-assisting AI software to predict that a customer is likely to be interested in a new product that is similar to a product that the customer has purchased in the past. The retailer can then send the customer an offer for the new product.

Predictive decision-assisting AI software can be used to improve customer loyalty by providing customers with personalized experiences. This can be done by analyzing the customer's past behavior and by predicting their future interests. For example, a retailer can use a predictive decision-assisting AI software to predict that a customer is likely to be interested in a new product that is similar to a product that the customer has purchased in the past. The retailer can then send the customer an offer for the new product.

While all prediction is probabilistic and will miss from time to time, it is the improvement of accuracy that is at the heart of training AI to predict with human characteristics and biases, qualities, and even deficiencies.

The artificial intelligence (AI) sector in retail is poised for significant growth by 2025. The growth projections vary slightly among different market research firms but indicate a robust Compound Annual Growth Rate (CAGR). MarketsandMarkets has predicted a growth from $5.2 billion in 2019 to $19.9 billion by 2027, with a CAGR of 21.2% during the forecast period. This indicates a strong growth trajectory for AI in retail generally, but it does not specify the market size potentials specifically for 2025.

Grand View Research provides a more specific forecast for 2025, suggesting the global AI-in-retail-market size could reach $23.6 billion by 2025, growing at a CAGR of 38.3% from 2019. This report highlights the rapid growth and significant market potential for startups focusing on AI to predict consumer decisions.

Research and markets' predictions align with the general upward trend, forecasting a CAGR of 35.9% during the 2020-2025 period, with an expected market value of $19.9 billion by 2025. A report from Tractica aligns with the same $19.9 billion figure by 2025.

It’s generally accepted that AI's role in personalizing customer experiences has the potential to boost retailer revenues and profitability. IBM suggests that such personalization could lead to a revenue increase of up to 10%. This aligns with the overall sentiment that AI will be a key factor in driving retail growth, especially in areas such as customer experience enhancement, supply chain optimization, and inventory management.

In summary, the AI-in-Retail applications market is expected to grow exponentially by 2025, with estimates ranging from $19.9 billion to $23.6 billion. IntualityAI that leverages AI to predict consumer decisions is well-positioned to tap into this market potential. The use of AI in retail is not only expected to improve customer experiences but also to increase operational efficiencies and revenues for retailers. Obviously precise revenue generation will differ widely depending on sub-applications, but despite variations in the forecasted figures, all reports agree on the significant impact AI will have on the retail industry in the near future.

(https://www.businesswire.com/news/home/20200121005488/en/Global-Retail-AI-Market-Expected-Reach-Growth-12.7-Billion)

by Michael Hentschel, Intuality CFO, anthropologist, economist, venture capitalist

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