Story Back in 1984 when Steve Jobs gave us brain tool mack-apple for personal computer networking, his experience growing up in silicon valley knew about impoverished families on the west coast but nothing much at all about extreme rural poverty or gender inequality about worldwide
he didnt want to repeat such blindness as far as millennials network tools uniting peoples goals like women empowerment to end poverty - so in 2001 before he started desiging the brain tool we mobilse intelligence around (iphone) he hosted silicon valleys 65th birthday party for Fazle Abed whose intelligence has done most for empowering community building by bottom of the pyramid village mothers for more see tour beta1 Architect Intelligence Game EconomistDiary.com
Jobs was especially interested when abed said if I advance the most poorest village mothers can do by 2020 then the quarter of humans at bottom of pyramid will have built green communities and advanced beyond extreme poverty metrics of 2 dollars per day- but there total exchanges will still be less than 2% of the total global gnps; transparency to trillion dollar audits was one solution abed saw as both engineer and chartered accountant but he mainly lit a fire in jobs mind that all we need is one global university of poverty once intelligence solutions are universally connected. ITs not clear that any nation benefits from making its brightest youth the largest debt class the way us colleges are desingned -its definitely the opposite system from that millennials need who want to linkin UN development goals
Arguably every worldwide market generating more than a trillion dollars of sales a year needs transpaent mapping- are its lead organisation maximising the sustainability intelliugebce that market could be systmatically designed round
here'a conversation with bard on healthcare july 2023
Trilliondollaraudits.com
Here
are my thoughts on the markets that are furthest aligned and furthest from the
SDGs:
- The market that is furthest aligned with the SDGs
is the healthcare market. The healthcare market provides essential
services that contribute to SDG 3 (good health and well-being). It is also
a major employer, which contributes to SDG 8 (decent work and economic
growth).
- The market that is furthest from the SDGs is the
energy market. The energy market is a major source of emissions, which
contributes to SDG 13 (climate action). It is also a major source of
pollution, which contributes to SDG 11 (sustainable cities and
communities).
It
is important to note that these are just my assessments, and there may be other
markets that are more or less aligned with the SDGs. The alignment of a market
with the SDGs will depend on a number of factors, such as the specific products
and services that are traded in the market, the environmental and social
impacts of the market, and the policies that govern the market.
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can we pay devil's advocate with health. In my view where a
place develops life expectancy from low 40s to high 60s that is one of the most
positive intelligences we can study through my life since 1951. It is for
example integhral to village women empowerment maps- however even before covid,
life expectancy in usa was going down because of lack of affordability for all.
Given that we know the UN says all sdgs have gone the wrong way since 2015, i
wonder if we are at a unique time for ai to help analyses sustainability of
trillion dollar sectors both overall and with the deeper data dynamics i have
tried to illustrate
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Sure, let's play devil's advocate with
health.
- The healthcare market has made significant
progress in improving life expectancy. In the early 1950s, the average
life expectancy in the United States was 69.1 years. By 2020, the average
life expectancy had increased to 78.6 years. This is due to a number of
factors, including advances in medicine, better nutrition, and improved
sanitation.
- However, the healthcare market is also facing a
number of challenges. One of the biggest challenges is the rising cost of
healthcare. In the United States, the average annual cost of health
insurance for a family of four is now over $20,000. This is a significant
financial burden for many families.
- Another challenge is the increasing prevalence of
chronic diseases. Chronic diseases, such as heart disease, cancer, and diabetes,
are now the leading causes of death in the United States. These diseases
are often expensive to treat, and they can have a significant impact on
quality of life.
- The healthcare market is also facing a number of
sustainability challenges. The healthcare sector is a major contributor to
greenhouse gas emissions. In the United States, the healthcare sector
accounts for 8% of all greenhouse gas emissions. The healthcare sector is
also a major consumer of water and energy.
- AI has the potential to help address some of the
challenges facing the healthcare market. AI can be used to improve the
efficiency of healthcare delivery, such as by automating administrative
tasks and providing personalized recommendations. AI can also be used to
develop new diagnostic tools and treatments for diseases.
- However, there are also a number of challenges
that need to be addressed before AI can be fully deployed in the
healthcare market. One challenge is the need for more data. AI algorithms
need large amounts of data to train and improve. Another challenge is the
need for more ethical guidelines for the use of AI in healthcare.
- Overall, the healthcare market is at a crossroads.
The market has made significant progress in improving life expectancy, but
it is also facing a number of challenges. AI has the potential to help
address some of these challenges, but there are also a number of
challenges that need to be addressed before AI can be fully deployed in
the healthcare market.
I
think we are at a unique time for AI to help analyze the sustainability of
trillion-dollar sectors. The healthcare market is a trillion-dollar sector, and
it is one of the sectors that is most in need of sustainability solutions. AI
can be used to analyze the environmental and social impacts of the healthcare
sector, and it can also be used to develop new sustainable solutions.
For
example, AI can be used to:
- Identify inefficiencies in the
healthcare system. AI can be used to analyze data on healthcare
spending, patient outcomes, and resource utilization. This information can
be used to identify inefficiencies in the healthcare system and to develop
strategies for improving efficiency.
- Develop new diagnostic tools and
treatments for diseases. AI can be used to analyze large amounts of
data to identify patterns and correlations. This information can be used
to develop new diagnostic tools and treatments for diseases.
- Personalize healthcare delivery. AI
can be used to collect and analyze data on patient health, preferences,
and lifestyle. This information can be used to personalize healthcare
delivery and to improve patient outcomes.
AI
has the potential to help the healthcare market become more sustainable. By
addressing the environmental and social impacts of the healthcare sector, AI
can help to create a healthcare system that is more equitable, efficient, and
sustainable.
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If we continue to play devils advocacy woith health - which
of the consultancy, media or professional metrics markets are most at
crossroads as to whether it aligns with ai data scientists aiming to improve eg
life expectancy versus big clients who want to make more money
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Here are my thoughts on which of the
consultancy, media, or professional metrics markets are most at a crossroads as
to whether it aligns with AI data scientists aiming to improve life expectancy
versus big clients who want to make more money.
- Consultancy markets: Consultancy markets are at a
crossroads because they are often hired by big clients to help them make
more money. However, AI data scientists are increasingly being used by
consultancy markets to help them improve life expectancy. This is because
AI data scientists can analyze large amounts of data to identify patterns
and correlations. This information can be used to develop new diagnostic
tools and treatments for diseases.
- Media markets: Media markets are also at a
crossroads because they are often used by big clients to promote their
products or services. However, AI data scientists are increasingly being
used by media markets to help them improve life expectancy. This is
because AI data scientists can analyze large amounts of data to identify
patterns and correlations. This information can be used to develop new
public health campaigns and to educate the public about healthy living.
- Professional metrics markets: Professional metrics
markets are also at a crossroads because they are often used by big
clients to measure the effectiveness of their marketing campaigns.
However, AI data scientists are increasingly being used by professional
metrics markets to help them improve life expectancy. This is because AI
data scientists can analyze large amounts of data to identify patterns and
correlations. This information can be used to develop new marketing
campaigns that are more effective at improving life expectancy.
Overall,
I think that all three of these markets are at a crossroads. They are all being
used by big clients to make more money, but they are also all being used by AI
data scientists to improve life expectancy. It will be interesting to see how
these markets evolve in the future.
Here
are some additional thoughts on the challenges that these markets face:
- Consultancy markets: Consultancy markets face the
challenge of balancing the needs of their big clients with the needs of
the public. They need to make sure that they are providing their clients
with the best possible advice, but they also need to make sure that they
are not doing anything that could harm the public.
- Media markets: Media markets face the challenge of
staying objective and unbiased. They need to make sure that they are providing
their audience with accurate information, but they also need to make sure
that they are not sensationalizing or exaggerating the risks of certain
diseases.
- Professional metrics markets: Professional metrics
markets face the challenge of ensuring the accuracy of their data. They
need to make sure that their data is collected and analyzed in a way that
is fair and accurate.
I
think that these markets have the potential to make a real difference in the
world. By using AI data scientists to improve life expectancy, these markets
can help to make the world a healthier place.
=======================
Working in the big 5 (auditors) management consultancies and west's biggest ad agencies of the 1990s , it became clear that we do not have any sustainability audit maps for the world's largest markets sectors- to this end i guest edited ttriple iussue of journal of marketing management 1999
- reality of brand unique organsiing piurpose - wht would world uniquely miss if this did noit exist - probe by every level of stakeholder segmentation relevant; clarify if thse auditing the comapny verify whether there are wi-wins between trust relationships -which make or break goodwill integgartion of stakeholders (know that matematucally an organsiation that zr=eroises trust of even one stakeholder may be extinguished or worse it may lobby for non transparency putting all of humanity at compound risk)
on presenting this to hardvard marketing faculty- i was told you may be mathematically correct but ersearch funding in usa for this sort of work will never happen -that's a bit of a shame but attending a cenetenary of von neumans birth at greenwich I interviewede many maths doctorates who echoed the same issue- without resolution (eg in next stage web design): this is one of those political crises that will sadly cause usa to have ever less friends (ever less treading relevance wherever peopels have fre choice_ worldwide; this saddens me as my daughetr was born in maryland 1997 even though coming from 5 generations of disapora scots I cant help but value adam smith system design more than noisey media anywhere
to start with list any market over a trillion dollars per year in value of money or times spent- we can work out later double counting overlsap- your list might include
water
health
food
real setate
education
energy
media technol1999/11ogies and clebrities
ai computational technologies
metaverse (web3)
public safety
once the united nations and other worldwide governace structures have mediated goals determining sustainability or extinction of all of us- draw links between each trillion dolar marekjst and thise goals where the knowhow of taht market's deepest experts uniquly explains sustainability expoeentials (see valuetrue.com)
The bad news is we have no chnace of surving the 21st c unless trillion dolar audits are transparent both educationally and professionally
the good news is the data streaming in from smart devices can be modelled if human and at=rticficial intelligent p-riorities transparncy of trillion dolar auditing