This is disappointing...
Our proprietary Spin-Data Quantum Model analysis suggests that three business leaders Jamie Dimon (JPMorgan Chase), Tim Cook (Apple Inc.), and Jeff Bezos (Amazon Inc.) should use their enormous AI capabilities to understand the current dynamics of business and the economy before it disturbs the financial system. However, up to now they do not seem to be working together. To take full advantage of their capabilities, they must integrate diffusion-flow dynamics with AI algorithms in economics to understand modern Quantum Era financial modelling.
At GIANTAIBI after several years of extensive research, we developed a Spin-Data Computational Model and concluded with an error margin of 99±1 % that this year, 2020, is the Year of Global Wealth Restructuring  or Quantum Era or Ultra-Billionaire Era! Ultra-Billionaires Making Money in the Year 2020.
The Spin-Data Computational Model suggests (99%+-1%) that Joe Biden will be a one-term President of United States 2021-2024. We are looking for investors and investment data due diligence projects to expand our Spin-Data Computational Platform in Palo Alto, CA. Contact Us.
The Spin-Data Computational Model (99%+-1%) suggests that the US President should set up a team of interdisciplinary US-based, trusted, and confidential extraordinary scientists and researchers to deep-investigate the origin and diffusion-flow dynamics of COVID-19 worldwide data. This step will be extremely beneficial for United States to handle COVID-19.
The IMF needs to work hard and understand Dark Data. Now we are 99 percent confident with error margin of +-1%; the IMF seriously needs talent at all levels. The world should take note of IMF as it seems they are just wasting resources. Need help? Let us know. GIANT AIBI.
Dark Data/Global Wealth Restructuring Year 2020. We are at a unique time of civilization where we have the analytic luxury of enormous computational power, technological advancement, predictive data intelligence, and the recently identified dominating phenomenon of dark data syndrome [ref 1].
A week ago we (GIANT AIBI) concluded "The year 2020 will be known as the Global Wealth Restructuring Year". The International Momentary Fund (IMF) is still using decade-old theories when trying to understand the global economic eco-system, but the world is evolving rapidly and in a complex way. The IMF needs to hire best and brightest people, those who understand technology and global eco-dynamics, to develop preventive solutions.
The year 2020 will be known as the "Global Wealth Restructuring Year". Please DO NOT compare it with the 2008 economic crisis; it will be ten times (10x) bigger than 2008 economic crisis. If this problem is not handled properly, a large number of major businesses and even a few countries will go bankrupt. Feel free to let us know if we can organize your data or help you to understand data technology.
The high and mighty are always very busy to accumulate Money and Power. Now when everyone may sit alone with some fear from COVID-19, it can be a good time to introspect to make the world a cleaner and better place (hygiene and greed) to live qualitatively all the time.
The power of Money had a great influence in past, but in AI times, exponential complex data is dictating the terms more than money. Mike Bloomberg took very long to decide to run for president; a detailed analysis of the data including Dark-Data shows extremely minimal chances of winning.
In May 2019, when there was lot of noise, i.e. SoftBank, Vision Fund, WeWork and others.... We had analyzed the SoftBank Vision Fund, and we found tremendous amount of "Data-Dark AI" symptoms in their Vision Fund, therefore, we concluded that SoftBank Vision need a lot of Due-Diligence.
Considering global imbalance in Wealth, Population, and rise in Depression epidemic. People unable to understand Data-Dark with emergence of AI, predicting next 20 year is a global challenge. Scientist and Engineer who is unable to maintain their family and society well, predicting 300 year is not even a far-fetched imagination.
Welcoming year 2019-2020 will be a continuation year of Data-Dark epidemic. Data-Dark will create huge number of business bankruptcy and business instability due to alignment of various dark spots in exponential data, and highly inefficient data analytics. Investments will loose its values exponentially. As a solution to this problem, business will need to find spin-intelligence leadership and engineers or choose to slowly extinct away.
Anytime when such layoff happen, Major responsibility should lies on CEO. Also as Starbucks claimed, just 5% workforce cut will make company nimble and profitable? They should change their Data Analytic Business Intelligence Consultant. Need help to understand Data, Business Intelligence, AI. Contact GIANT AIBI.
Nanotechnology was developed to address intricacies in fundamental human needs with a goal of enhancing quality of life; however, the enormous generation of data today is leading to confusion as to which data elements are actually meaningful in life. This confusion perpetuates feelings of anxiety and depression among people, ultimately leading to a depression epidemic.
We are highly interested to know, which Fortune 500 company was providing Management Consulting, Data Analyst, and M&A Consulting to Sears (132 Year Old Company). Who Was Doing Business Intelligence and Data Analyst Services for Sears? Anyone please claim? Beware in AI Era! Most of Premier Data Analyst Company do not even Understand "Data". And, they will never claim you as your client in Public when you go in Bankruptcy.
Extensive research on this topic by GIANT AIBI, we concluded and posted in (March 24, 2018) that Ultra-Scaling of Nanotechnology is bringing Artificial Intelligence to Forefront. Continuous ultra-scaling of devices, AI will dominate and will very hard to contain the risk. It is necessary to train multi-dimensional set of Engineers for Future those who can understand the Spin-Drama of Nanotechnology and AI to guide the proper application of Nano+AI tech in 9 Billion world population.
GIANT AIBI Launching "AI-Life Score" Advanced Algorithm to Calculate Individual Overall Performance and Credit Worthiness in AI Era.
We Provide Personalized, Preventive care, Identity management to prevent fraud
Combat aging with next-generation AI and Deep Learning
Based on health, wealth, social, mental and several life parameters
Now-a-days, I am getting too many consulting request on Intel Corporation, which I Politely Decline. So thought to summarize my opinion in general,
Intel Need Extra-Ordinary Scientists and Engineers to Stay in Race... But, problem with current stage Intel Corporation is that they are not adapting in retaining and understanding the curiosity of those best and brightest. They think that the motivation of best and brightest engineers 20 years ago is similar to current best and brightest.
Please try to understand this Artificial Intelligence Era!
Welcome to the the era of the biggest investment financial fraud in history (i.e. Era of Artificial Intelligence, Revolving 4-D Data Science). The major reason for this kind of Big Financial Fraud  is lack of understanding of the exponential ever-increasing generation of Data and revolving "4-D Spin Dimension Data Parameters [2-3]".
Those who learns from other people sufferings, they try to solve the problem. Sometime when people ask me, I tell people to create sustainable solutions at the peak of their success. GIANT AIBI.
Depression epidemic is growing exponentially, and there is a huge demand to address this issue with current and future technology insights. Our team of researcher is using Artificial Intelligence (AI) and Food Intelligence (FI) algorithm for tackling this global issue. It seems that current way of handling this problem is outdated as it is still using local variables. AI+FI algorithm can provide an intelligent tool to solve the problem in more sustainable way.
I get amaze when I hear the concept of Gifted Children! I doubt is there any one in the world who fully understand this word very well. Artificial Intelligence will fully destroy the myth. Education will evolve in way that most of the educational institution will have to struggle to survive to stay in race in the era of AI technology evolution...
Giant AIBI; I think, my advice to all extra-ordinary young fellow that when you will get old, you will need high assistance. But, your retirement benefits and layoff benefits will not be very useful when you will need them most. Think carefully, are your investment (time and financials) safe in this era of technological disruption ?
" I got the impression that a lot of financial systems, investors, and fund managers are not fully aware of the data they are analyzing in one frame; the entire system of analysis is not up to the current speed of data generation and is mostly based on the old referral system, whereas the entire digital age is now based on disruption. Therefore, not all of the funds are secure in the current atmosphere. It is not only the workforce that is at the stake of the technology's evolution, but also the investment of the common people , Date Sept 5, 2017." https://www.linkedin.com/pulse/your-investments-safe-era-technology-evolution-dr-pankaj-jha/
In conversation with Dr. Harsh Vardhan (Cabinet Minister of Science and Technology, Government of India). I explained about the Giant exponential amount of data generation, and shortage of data scientist to extract the absolute value from the data. As data science is complex even now when it is relative, and it is going to be ultra-challenging once it is absolute. We both agreed, we need to initiate the process of "Spin-Data Marking, GIANT AIBI" and creating talent.
Evolution of technology and degradation in investments are highly correlated. Technology evolution will disrupt the EQ (Emotional Quotient) and IQ (Intelligence Quotient), and data analysis will not be as simple analysis as it is today. During my interactions with some of the world's best in data analytics, financial algorithms, and across the business domain, I have realized a lot of people are not even aware of the source of the data on which they are working and doing analysis.
* Blog Page Image Source: CNBC