What is Shared Goal Of Life / SGOL
THis is a personal technical and philosophical community of people who enjoy helping humanity throue good choices.
- sgol.pub my new automated md blog hosted on cloudflare.
- sgol.pub/questions a fun question site
- sharedgoalof.life my old blog which is a self hosted server
- endpoint.ca my company for fun and profit.
- join.endpoint.ca the entry point to our process.
- join.endpoint.ca/blog A company blog for more business focused discusions
- join.endpoint.ca/community Our corprate suport system. and idea engine.
- gitlab.com/endpoint Our open source corporate projects.
- gitlab.com/syonfox My open source projects on gitlab.
- github.com/syonfox My open source projects on github.
As Abraham Lincoln once said, 'The best way to predict the future is to create it.' Let's work towards creating a better world by empowering more people and taking action instead of just complaining.
We all possess endless potential, and it's crucial to enable people to make the most of their time and resources.
When it comes to learning, simplicity is key. Simple systems are easier to learn, and with the right goals and step-by-step planning, it's rarely impossible to learn something new. So, set your goals and work towards them, even if it means looking up the definition of a recursive function.
Remember, not knowing is no excuse. Let's empower people to learn and make progress towards a brighter future.
Come comments on life
Look idk what im doing and most people don't, not knowing is no excuse. so we simple need to enable people to learn
this is one of the reasons simple systems are great, because they are easy to learn.
It is important to note that while there is a cost benefit analysis that goes into learning something you dont know it is rarely impossible to do. So the point become how do you decide what to learn. By setting goals and breaking down the steps needed to get their insecurely. All the way down to looking up what a recursive function is if necessary.
Financial viability assessment
36M small businesses in the us.
25M of which have a less then 5 people
As per geospatial analytics market forecast the post COVID-19, the geospatial analytics market size was valued at $ 69.48 Billion in 2021 and is projected to reach $ 209.47 Billion by 2030, growing at a CAGR of 13.0% from 2020 to 2030.
The global enterprise artificial intelligence market size was valued at USD 11.4 billion in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 34.6% from 2022 to 2030. In the year 2022, the Global Cloud AI Market was valued at USD 7,482.89 million. The size of this market is expected to increase to USD 27,444.45 million by the year 2029, while growing at a Compounded Annual Growth Rate (CAGR) of 20.4%.
idk say we just target th intersection thats millions of potential cliets theres a few billion dollar companies somewhere in there in the next 10 years.
there are several reasons to assume that there are opportunities in the space you mentioned, which includes small businesses, geospatial analytics, enterprise artificial intelligence, and cloud AI markets. Here are some justifications for this assumption:
Large Market Size: The markets you mentioned, such as geospatial analytics and enterprise artificial intelligence, are expected to experience significant growth over the next decade, with market sizes projected to reach billions of dollars. This indicates a substantial demand for products and services in these industries, which presents an opportunity for businesses that can offer innovative solutions to meet these demands.
Growing Number of Small Businesses: There are 36 million small businesses in the US, and 25 million of them have less than five people. These small businesses are often resource-constrained and may not have the expertise or resources to leverage advanced technologies such as geospatial analytics or AI. This creates an opportunity for businesses that can offer easy-to-use and affordable solutions that can help small businesses make better decisions and improve their operations.
Advancements in AI and Cloud Computing: The advancements in AI and cloud computing have made it possible to process and analyze large amounts of data quickly and accurately. This creates opportunities for businesses that can leverage these technologies to offer innovative solutions in various industries such as finance, healthcare, and logistics.
Competitive Landscape: While there are many established players in the geospatial analytics, enterprise AI, and cloud AI markets, there is still room for new entrants to carve out a niche by offering unique products and services. By identifying unmet customer needs and gaps in the market, businesses can differentiate themselves from competitors and capture market share.
In conclusion, based on the above justifications, it is reasonable to assume that there are several opportunities in the space you mentioned. However, it is important to conduct thorough market research and analysis to identify specific areas where a business can differentiate itself and succeed in these markets.