Under The Microscope: Vectorspace AI Augmenting Raw Data & Statistics
While data plays an essential role into our modern everyday lives, we donā€™t truly realize exactly how much data we unconsciously generate. Vectorspace AI is working to refine our data and reconstruct the ways we utilize the data we generate into datasets.
Raw Data on Steroids
Over the past few years within data research and development, there have been major advances in technology as weā€™ve started to tap deeper into the limitless potential of how data can be utilized. From small things such as Apple watches tracking our sleep quality and fitness levels, to the data generated from an individuals interests based off their digital footprint and spending habits. Generating data has become as common of an action as breathing, while the abundance of data is similar to the air we breathe. Weā€™ve truly opened the doors to the digital age.
Over the years, we have seen the improved utilization of data improve our lifestyles in terms of efficiency and knowledge. Data processing has disrupted sciences from health, to finance, all the way to architecture. As we produce exponentially more and more data over time from our daily activities, what will we do with this surplus of data that is essentially continuously being created out of thin air?
While weā€™ve managed to create and build paths to optimally utilize our data, weā€™ve only tapped the surface of this newfound way to process information. For example, data is nothing more than information, so something in the future that is able to process and understand this information could be entirely possible. While we may appear to be a few lifetimes away, many futuristic Sci-Fi films have displayed what the future of data will look like whether through artificial intelligence or highly advanced databases.
The Solution
What if you were told you wouldnā€™t have to wait a couple lifetimes to see this advanced utilization of data? What if there already is a company that is working to give machines a mind of their own?
Vectorspace AI is working to enhance machine learning and natural processing & understanding within artificial intelligence. Specifically, Vectorspaceā€™s area of specialty and primary focus with AI is focused on utilizing the abundance of digital information we have and augmenting raw data into refined datasets that detect hidden relations and potential causations which also can react to data inputs from recent news. This newfound method of transforming basic individual pieces of data into more technologically advanced datasets to be deployed into multiple sectors that focus on data analysis. Research within biosciences and nuclear research and multiple big data & finance firms have taken notice of Vectorspaceā€™s innovative approach to data utilization and have decided to input their raw data into datasets to better understand and monitor their respective areas of analysis.
The team at Vectorspace AI have decided to build a variety of datasets within various sectors depending on each individual clients area of work. Similar to current popular big data firms such as IBM and Salesforce providing clients with large files of data to be utilized. Vectorspace will be process the information from these big data firms along with information from their peer reviewed papers and news from the Internet. Rather than the inefficient process of sitting and reading through every piece of data, clients can now let machines process the information, now all the client is required to do is analyze and extract the information displayed.
Attention to Detail
Vectorspace AI is introducing a new approach to data utilization and what better time than during a global pandemic? The team at Vectorspace have built multiple datasets within biosciences to better understand COVID down to the drug compounds and proteins in relation to potential solutions through hidden relations in nutrients such as Omega 3 and Vitamin D. This ability to apply raw data into technology that can understand and make use of the input finding hidden relations can be considered in being one large step forward for humanity in building technology that is able to adapt to a multitude of scenarios through the inputs theyā€™re fed.
With all the data produced in our daily lives, theres likely enough data generated to accurately depict a persons daily life activities. While Vectorspace AI is built with the focus for enterprise and research use purposes, datasets can also be built for basic everyday activities. Examples of datasets that could be built to track and detect spending relations in regards to how an individual is managing their budgets. Athletes could utilize datasets to find relations between their performance and dismissed external factors such weather or uniform colour.
While its likely the large majority of Vectorspaceā€™s clients will be working within financial and bioscience analysis, retail clients can also build financial datasets to improve their own trading results, this has the potential to significantly limit the amount of impact insider trading may have on markets as Vectorspaceā€™s datasets can process news in near real time. The future of health and biosciences will likely feel the most disruption from utilizing these datasets. As constant trial and error can be replaced by machines reading and analyzing all possibilites of inputs and outputs saving those within biosciences significant amounts of time, resources, and labour.
The Verdict
While not exactly an issue, Vectorspace understands the raw data that while the data we create and utilize all throughout our daily lives has accelerated the growth and development of humanity and technology alike. Though weā€™ve only scratched the surface of how we understand and utilize information, the next step to take is to allow data to be understood by technology and communicated through their systems to bring information that can be more easily depicted and monitored without having to keep up with the latest news.
Aside from finances and biosciences, firms within industries such as sales, entertainment, sports and even engineering can utilize these datasets within their respective industries. Sales and entertainment companies can analyze the relation of their sales to factors such as time, location or interests. Whereas athletes and engineers can track hidden relations in their respective fields of work in regards to factors such as outcomes in different environments or the probabilities of alternative methods through input.
We are likely getting a sneak peak at the next step of how the data we generate will be optimally utilized. With the abundance of data generated from just daily activities, just imagine the amount of data held from firms within research and analysis focused sectors such as hedge funds and medical labs. As data is nothing more than information, building the solution for machinery to understand and make use of that information will open the doors to the next steps of technological advancements.
The data market is expected to be valued at over $1 trillion by 2025, thats just raw unprocessed information. With this new introduction of data utilization, its possible Vectorspace AI becomes a leader in this space to process and make use of provided data. This wonā€™t just be an advancement in technology, but the newfound patterns and relations detected through datasets can lead to a better understanding and further development of humanity.
*None of the information listed is financial or investment advice and should only be taken as entertainment or educational as Iā€™m not a financial advisor*
About Me
Hey, thanks for taking the time to read my work. Iā€™m your average 20 year old, currently in school for Economics and Finance. Some of my hobbies consist of sports, working out and staring at price charts.
I initially began interested in the crypto space after frustrations with legacy markets. From the second I read about the Ethereum ecosystem, I fell in love. An entire ecosystem built on one platform that anybody can access? Unheard of, until now.
With how fast this space is developing, I try and find projects within this industry that show promise and potential to disrupt our modern world. All this fundamental analysis not only helps me better understand these projects better, but hopefully gives you guys some newfound information!
If there are any projects youā€™d wish to suggest me take a look into, Iā€™m always available on Twitter
