Vectorspace AI Datasets: ABT Crypto Academy AMA (Ask Me Anything)

While ‘data’ might be the new oil, the ‘dataset’ is the refined gasoline that powers every Machine Learning (ML) and AI operation. Vectorspace AI’s algorithms generate datasets based on Natural Language Processing & Understanding (NLP/NLU). These datasets are used to boost signal, accuracy, precision, profit/loss, Sortino or Sharpe ratios in the financial markets and biosciences industries.

The following is a transcript of a recent AMA hosted by ABT Crypto Academy on Telegram with the founder of Vectorspace AI, Kasian Franks.

[11:03:52 AM]:ABT Crypto

We’re extremely privileged to be joined by Kasian Franks the CEO of Vectorspace, it’s only right we start off with a brief introduction — can you tell us what exactly Vectorspace is and how the idea came about? @DeepHedge

[11:06:14 AM]:Kasian Franks

We got our start in Life Sciences, now most refer to it as Biosciences at Genentech and Lawrence Berkeley National Lab https://www.lbl.gov

[11:06:36 AM]:Kasian Franks

in the Biosciences division: https://biosciences.lbl.gov/

[11:08:28 AM]:Kasian Franks

There we were tasked with creating a system to identify hidden relationships between genes, drugs and diseases connected to breast cancer, chromosomal radiation damage and extending human lifespan for the purpose of deep space travel.

We wrote a paper with Micheal I. Jordan, teacher of Andrew Ng, who developed the first AI for Google and China’s Baidu.

“Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span” — Blei DM, Franks K, Jordan MI, Mian IS. — http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1533868

“The statistical modeling of biomedical corpora could yield integrated,
coarse-to-fine views of biological phenomena that complement discoveries
made f…”

We then applied what we learned to the traditional financial markets based on a paper written by Gur Huberman:

“Contagious Speculation and a Cure for Cancer: A Non-Event that Made Stock Prices Soar,”
https://www0.gsb.columbia.edu/mygsb/faculty/research/pubfiles/1555/contagious.pdf

Human genes are like stocks or cryptos.

We then developed a system that went on to make money for a few hedge funds:

Our technology is based on datasets.

Our algorithms generate datasets that power AI/ML systems and in every industry:

[11:14:10 AM]:ABT Crypto

> Kasian Franks

> There we were tasked with creating a system to identify hidden relationships between genes… [reply to]

“For the purpose of deep space travel” Sounds like an extremely interesting but daunting task!

You’ve previously said, and I agree with the statement “machine learning and artificial intelligence are the most complicated forms of software engineering”
what made you want to target this industry?

[11:14:42 AM]:Kasian Franks

Including particle physics and biosciences of course

> ABT Crypto

> “For the purpose of deep space travel” Sounds like an extremely interesting but daunting task! You’ve …[reply to]

We’ve been in this industry since we’ve been kids

The industry has remained a target because it represents the largest opportunity in the history of humankind.

VXV is at the intersection of AI/ML/NLP, crypto, data and hedge funds.

We are the tip of the spear when it comes to AI/ML. You may have heard of GPT-3?

or Google’s BERT?

[11:18:15 AM]:ABT Crypto

> Kasian Franks

> or Google’s BERT? [reply to]

I actually haven’t, could you give us brief break down?

-thanks

> Kasian Franks

> VXV is at the intersection of AI/ML/NLP, crypto, data and hedge funds. [reply to]

How big of a market is there for Vectorspace to capture and who would benefit most from using your services?

[11:19:39 AM]:Kasian Franks

> ABT Crypto

> I actually haven’t, could you give us brief break down? [reply to]

> ABT Crypto

> How big of a market is there for Vectorspace to capture and who would…[reply to]

How much is data worth?

Trillions

[11:20:40 AM]:Kasian Franks

Let me break this down for you

On the cost side, we are onboarding customers on a case by case basis as we engage in customer discovery. Our current pricing model:
Per Dataset: 100,000,000,000 available datasets
$0.99c per Data source (max 100, min 2)
$0.99c per Row type (max 1000, min 1)
$0.99c per Column type, (max 1000, min 1)
$0.99c per Context-control (max 1000, min 0)
$0.99c per Update (max: 43,200, min institutional 100, min academic 1)

To simplify, our customers pay at a minimum $0.99c per dataset per update. That ranges from $30k to $50k per month per dataset per customer.

Data is increasing at an exponential rate.

This goes for datasets too.

https://vectorspace.ai/assets/the-math.txt

All industries are now set to use AI/ML.

Here’s how companies make money with our datasets:

Our datasets generate thematic baskets of traditional market equities.

[11:29:45 AM]:Kasian Franks

Thematic investing is a term everyone here should be familiar with as it’s set to transform the crypto space as it has the traditional markets. Our customers like S&P Global agree.

[11:30:53 AM]:Kasian Franks

https://www.fidelity.com/mutual-funds/investing-ideas/thematic-investing

[11:30:57 AM]:ABT Crypto

> Kasian Franks

> All industries are now set to use AI/ML. [reply to]

I agree and assume this should generate a decent profit for Vectorspace? Around how many paying customers does Vectorspace currently have?

[11:34:37 AM]:Kasian Franks

> ABT Crypto

> I agree and assume this should generate a decent profit for Vectorspace? Around how many paying… [reply to]

We’re just getting started with a handful as we engage in customer discovery and onboarding on a case by case basis. We’re focused on the most high value customers we have. CloudQuant, with 400k traditional market traders and institutions, will be talking about VXV in the coming weeks.

In addition to Neudata.co who represent hundreds of hedge funds and institutions.

[11:38:12 AM]:ABT Crypto

> Kasian Franks

> We’re just getting started with a handful as we engage in customer discovery and onboarding… [reply to]

Can you tell us a bit more about your partnership with CloudQuant?

[11:42:24 AM]:Kasian Franks

CloudQuant is preparing to offer our datasets to their institutions and traders such as Citadel LLC

They also want to offer our thematic baskets to their retail side.

CloudQuant is just 1 company out of many that are interested in setting up deals with VXV

When VXV is acquired by an individual or institution in any industry and placed in wallet, this wallet becomes a tradable ‘wrapped asset’ for the following purposes related to billions of different datasets Vectorspace AI offers to individuals and institutions:

(in order of importance defined by revenue potential)

1. Design and generate datasets

2. Machine-to-machine transactions using VXV inside a specialized exchange for datasets where datasets are bought and sold similar to a crypto or stock exchange.

3. Access and distribution of datasets based on the VXV wallet-enabled API key used by customers to access Vectorspace AI datasets from revenue distribution partners such as S&P Global Market Intelligence, Bloomberg, Neudata, CloudQuant or Microsoft Azure.

4. On-chain data provenance, lineage, validation and governance: If you don’t know where your data came from, you’re flying blind. The VXV token tracks all changes to datasets by assigning immutable ownership to each change in the dataset.

5. Retail subscriptions: Access to thematic baskets, smart baskets for stocks and cryptos

6. VXV wallet-enable API:

A. Based on the amount and type of VXV in a wallet, access to hundreds of tiered service levels offered by the VXV dataset platform for greater accuracy, precision or profit.

B. Based on the amount and type of VXV in a wallet, access to hundreds of API parameters which enable greater accuracy, precision or profit.

7. Optionally, the VXV wallet can be enabled as a wrapped asset that can be traded on an separate exchange

We are creating a bridge between the traditional markets and the crypto markets.

VXV is what connects them.

VXV is the crypto used to design, build, distribute and transact datasets for the traditional markets.

This means if you’re in the traditional markets and you want an edge or an increase in precision, accuracy, P&L, Sortino or Sharpe ratio, you’re going to need VXV. As a traditional market player, if you’re making money with VXV datasets, you’ll also be interested in taking a long term position in VXV as a fund, prop desk or institution.

[11:48:56 AM]:ABT Crypto

> Kasian Franks

> VXV is the crypto used to design, build, distribute and transact datasets for the traditional markets. This means if you’re in… [reply to]

So An extremely brief description of
the work vectorspace does is — “hidden relationship detection in data”.

What is the most significant or surprising relationships that has been discovered using this technology?

[11:52:42 AM]:Kasian Franks

> ABT Crypto

> So An extremely brief description of the work vectorspace does is — “hidden relationship detection in data”. What is… [reply to]

Smart Basket: “Dexamethasone” (drug compound, brand name: Decadron)
Event date: 6/16/20
Event trigger: “Coronavirus breakthrough: dexamethasone is first drug shown to save lives” https://www.nature.com/articles/d41586-020-01824-5
Components:

Example hidden relationship to the event “Dexamethasone”: BGNE

A. “SYLVANT to treat idiopathic multicentric castleman disease” (MCD)
https://finance.yahoo.com/quote/BGNE/profile?p=BGNE

B. “leading to the release of high levels of inflammatory chemicals (particularly cytokines such as interleukin-6), causing the specific symptoms of MCD”
https://rarediseases.info.nih.gov/diseases/9644/multicentric-castleman-disease

C. SYLVANT’s synonym is Siltuximab, “a chimeric monoclonal antibody. It binds to interleukin-6. Siltuximab has been investigated for the treatment of neoplastic diseases: metastatic renal cell cancer, prostate cancer, and Castleman’s disease, among other types of cancer.” https://en.wikipedia.org/wiki/Siltuximab

D. “IL-6 signalling pathway inactivation with siltuximab in patients with COVID-19 respiratory failure” https://www.medrxiv.org/content/10.1101/2020.04.01.20048561v4

We have others related to our work at Lawrence Berkeley Lab and the DOE/DOD that relate to US national security.

Our goal is to advance work with Microsoft Azure Space/SpaceX and space biosciences in terms of generating new hypotheses and discoveries

This of course includes Lawrence Berkeley National Lab and CERN.

NASA is included too.

Currently, we’ll focus on generating money for hedge funds.

[12:00:13 PM]:ABT Crypto

> Kasian Franks

> Smart Basket: “Dexamethasone” (drug compound, brand name: Decadron) Event date: 6/16/20 Event trigger: “Coronavirus… [reply to]

The work that Vectorspace does in the Bioscience industry is just outstanding!

However an Infinite number of data sets can be created because it can be applied to practically every industry!

For this reason do you believe Vectorspace could struggle with the work load as you would be allocating more time and resources on testing and basically spreading yourself thin?

[12:01:40 PM]:Kasian Franks

> ABT Crypto

> The work that Vectorspace does in the Bioscience industry is just outstanding! However an Infinite… [reply to]

We know how to scale as we’ve built fully funded companies in the past which have scaled to the size of Instagram before it was bought by FB.

[12:02:28 PM]:ABT Crypto

> Kasian Franks

> We know how to scale as we’ve built fully funded companies in the past which have scaled to the size of Instagram before it was… [reply to]

I would like to touch on that actually, You mentioned that you powered Spotify a few years ago, can you tell us what you meant by this and how the relationship ended?

[12:03:11 PM]:Kasian Franks

> ABT Crypto

> I would like to touch on that actually, You mentioned that you powered Spotify … [reply to]

That was a while ago when we first cut our teeth on building a startup from the ground up to acquisition.

[12:06:23 PM]:ABT Crypto

> Kasian Franks

> That was a while ago when we first cut our teeth on building a …[reply to]

Who is currently the biggest competitor for Vectorspace and why?

[12:09:40 PM]:Kasian Franks

Our largest competitor would be PLTR and SNOW if they merged:

[12:12:18 PM]:ABT Crypto

> Kasian Franks

> Our largest competitor would be PLTR and SNOW if they merged: https://pulse2.com/pltr-stock-price-increases-nyse-pal … [reply to]

Why would one choose Vectorspace over the alternative choices?

[12:13:37 PM]:Kasian Franks

> ABT Crypto

> Why would one choose Vectorspace over the… [reply to]

1) There are zero alternative choices (let us know if you find a company or crypto that does what we do) 2) There is no #2

[12:15:38 PM]:ABT Crypto

> Kasian Franks

> 1) There are zero alternative choices (let us know if you find a company…[reply to]

So as of now, am I right in thinking you don’t see any other firms as direct competitors?

[12:15:58 PM]:Kasian Franks

> ABT Crypto

> So as of now, am I right in thinking you don’t see any other firms…[reply to]

That’s correct.

[12:16:48 PM]:ABT Crypto

> Kasian Franks

> That’s correct. [reply to]

I noticed Vectorspace did not have an ICO and only does small capital raises when necessary,
what’s the reason for this unconventional method and could this become an issue when unforeseen costs come up last minute?

> Kasian Franks

> That’s correct. [reply to]

& I’m always intrigued by firms that can maintain competitive edge!

[12:19:34 PM]:Kasian Franks

> ABT Crypto

> I noticed Vectorspace did not have an ICO and only does small capital raises when necessary… [reply to]

An ICO is the worst possible thing you can do. It creates sell pressure.

We come with a deep understanding of how trading vehicles work as we’ve been on most sides of the public markets including running public companies and dealing with the SEC.

The ICO is misnomer, it really means, what we call in the traditional markets, the friends and family round.

You’ll notice big players in the traditional markets do not give away all their shares before they start trading on a top tier exchange.

We are not in the business of “giving away” VXV at low price levels. We’re only interested in maximizing our holding of VXV.

[12:25:41 PM]:ABT Crypto

> Kasian Franks

> We are not in the business of “giving away” VXV at low price levels. We’re…[reply to]

This is true, I don’t believe it’s beneficial long term to sell off tokens cheap before the full potential has been realised.

Can you give us a breakdown on the tokenomics for Vectorspace and could that change? In terms of increase in supply or burning tokens to reduce it.

[12:26:22 PM]:Kasian Franks

Note: Most tokenomic models being touted by crypto companies these days are a form of retardation of a revenue model of some kind. Here’s why, “tokenmomic” models we’re originally designed with the inept thinking that all crypto was some kind of currency in form or another. This is ridiculously far from the truth. The fact is that each crypto is a trading vehicle. This is how experienced traders understand crypto and I’m talking about traders that have years in both the traditionals and crypto. These are the guys that matter as most of them have yet to trade crypto which makes them are largest addressable market in retail terms. This means we need to pay attention to big money, not the little money as we are not in it for the little money.

When VXV is acquired by an individual or institution in any industry and placed in wallet, this wallet becomes a tradable ‘wrapped asset’ for the following purposes related to billions of different datasets Vectorspace AI offers to individuals and institutions:

(in order of importance defined by revenue potential)

1. Design and generate datasets

2. Machine-to-machine transactions using VXV inside a specialized exchange for datasets where datasets are bought and sold similar to a crypto or stock exchange.

3. Access and distribution of datasets based on the VXV wallet-enabled API key used by customers to access Vectorspace AI datasets from revenue distribution partners such as S&P Global Market Intelligence, Bloomberg, Neudata, CloudQuant or Microsoft Azure.

4. On-chain data provenance, lineage, validation and governance: If you don’t know where your data came from, you’re flying blind. The VXV token tracks all changes to datasets by assigning immutable ownership to each change in the dataset.

5. Retail subscriptions: Access to thematic baskets, smart baskets for stocks and cryptos

6. VXV wallet-enable API:
A. Based on the amount and type of VXV in a wallet, access to hundreds of tiered service levels offered by the VXV dataset platform for greater accuracy, precision or profit.
B. Based on the amount and type of VXV in a wallet, access to hundreds of API parameters which enable greater accuracy, precision or profit.

7. Optionally, the VXV wallet can be enabled as a wrapped asset that can be traded on an seperate exchange

A note on tokenomic models:

1. We are going to follow the spirit of US SEC regulation and securities law which means we will not be showing the public how VXV will increase in value. This will classify VXV as a security and as an investment vehicle. It will also place Vectorspace AI in a difficult position as some of our attorneys work inside the SEC. This would also be a form of ‘promotion’ of VXV as an investment vehicle.

2. We are not going to use a tokenomics model to replace or draw attention away from the more important revenue model.

3. We are not going to explicitly lay out to our competitors details of our strategy — this is not an open source company, this is for-profit company with trade secrets and customers that rely us on not laying out any details of any strategy that might weaken their position.

If a trader or investor wants to know how to value VXV without seeing explicity numbers that result in a direct price increase of VXV, they’ll have to follow the smart money in. This always happens and is a function of free market capitalism. They simply have to buy in at higher prices following the big players in, like hedge funds. This is why the big players make more money, they’re usually first.

If a trader or investor is not savvy enough to understand what happens when a billion dollar firm takes a position in your stock or crypto, there’s not much we can do to help them at this point.

Our focus is revenue followed by profit.

50% of our revenue goes to buying VXV on the open market as VXV is required to access datasets but more importantly, track data provenance, lineage and governance, hashes of hashes, on-chain.

[12:32:45 PM]:ABT Crypto

> Kasian Franks

> A note on tokenomic models: 1. We are going to follow the spirit of US SEC regulation… [reply to]

This greatly differs from traditional crypto firms but conventional doesn’t necessarily mean correct!

[12:33:36 PM]:Kasian Franks

You do not want “conventional” in the crypto markets, the scam risk is intolerable.

[12:34:22 PM]:ABT Crypto

From visiting the website www.vectorspace.ai we can see a Microsoft and Amazon logo on the homepage, can you explain the nature of these partnerships?

[12:37:01 PM]:Kasian Franks

MSFT, AMZN, GOOG, SPGI (S&P), SNOW, PLTR, AAPL and more compete heavily in AI/ML and the only way for them to compete and win is to offer unique and powerful datasets to new customers.

This is why all of them love what we do. This is also why we are unique, they have no other companies offering datasets like ours.

We do things they cannot do in AI/ML, they also know that.

These are trillion and multi-billion dollar publicly traded companies.

Which, btw, all have traderbases.

[12:41:33 PM]:ABT Crypto

> Kasian Franks

> Which, btw, all have traderbases. [reply to]

Do they all translate to paying customers?

[12:42:23 PM]:Kasian Franks

> ABT Crypto

> Do they all translate to paying customers? [reply to]

Bigger than that — how many customers does AMZN (AWS) represent? What about MSFT or GOOG? Infinite.

They are preparing to offer out datasets not only to internal groups within their companies but the thousands of customers they service.

[12:43:47 PM]:ABT Crypto

> Kasian Franks

> They are preparing to offer out datasets not only to internal groups within their companies… [reply to]

One of your most recent partnerships was with CERN, can you give us a brief explanation of the significance of this partnership?

[12:44:22 PM]:Kasian Franks

How significant is the Universe? Hint: not as much as the Multiverse.

I’ll explain…

CERN conducts experiments that generate a large number of measurements related to physical properties of Leptons.

This data is transformed and stored in a dataset.

CERN is looking for known and unknown or hidden relationships between particles. This is usually done using standard ML clustering methods (k-means, dbscan etc). A level of accuracy and precision is achieved in scoring these relationships for relevance.

Most of the time, labels, particle names or IDs in the dataset have a connection to human language in the form of peer reviewed published scientific papers.

This is where we come in. VXV datasets are used to A) boost precision and accuracy (Sortino/Sharpe/P&L in the financial markets) B) detect new or hidden relationships based on all the data and intelligence found in language e.g. peer reviewed published scientific papers in theoretical physics.

The datasets and results can then be visualized e.g. (not all that exciting to the standard model of a human but exciting to a research in theoretical particle physics) https://vectorspace.ai/vis/relationship-network/cern.html

We’re currently working with CERN on acquiring more data so we can engage in generating metadata and triangulation for additional relationship networking.

We’ll describe how extracting intelligence from human language in the form of peer reviewed published scientific papers (and other data) related to epigenetics and *omics underpins all of Space Biosciences next.

CERN is more a Nobel Prize move.

We’re positioning our datasets to be cited in a highly regarded peer reviewed published scientific paper related to a breakthrough or novel discovery in theoretical particle physics, aka, our Universe.

[12:49:38 PM]:ABT Crypto

> Kasian Franks

> We’re positioning our datasets to be cited in a highly regarded peer reviewed published scientific… [reply to]

So this partnership is not to be taken lightly and has the potential to propel the company to new heights!

What is the biggest challenge Vectorspace has faced in its time and what would you say is the main issue it is currently facing?

[12:54:38 PM]:Kasian Franks

Right after we started the crypto markets tanked and went into an extended downturn. We had to place our retail strategy related to ‘smart baskets’ on hold and roll out our enterprise/institutional strategy. This took time. We actually had people asking us what slowed us down. We also had to adapt, overcome and improvise in ways a traditional startup faces. Currently, the most difficult part of what we are working on is an issue faced by all of crypto, onboarding friction. No one wants to go through 40 steps to take build a position in crypto. We’re working on removing this friction during our onboarding process in unique ways that involve combinations of fiat and crypto.

Now we’re here set to roll with BTC hitting 20k.

Of course, the pandemic caused a couple issues too but we converted these into opportunities:

[1:00:41 PM]:ABT Crypto

> Kasian Franks

> Of course, the pandemic caused a couple issues too but we converted these into opportunities: https://vectorspace.ai/covid19.htm … [reply to]

:clap: I have seen other firms using the pandemic as an excuse, to see one using it as an opportunity is actually refreshing!

“S&P Global Agrees to Buy IHS Markit for About $44 Billion”
- how will this acquisition affect Vectorspace?

[1:01:51 PM]:Kasian Franks

S&P Global, representing the lions share of the traditional markets, has a multi-billion dollar appetite for data and datasets.

VXV is the crypto used to design, build, distribute and transact datasets for the traditional markets.

This means if you’re in the tradtional markets and you want an edge or an increase in precision, accuracy, P&L, Sortino or Sharpe ratio, your’re going to need VXV. As a traditional market player, if you’re making money with VXV datasets, you’ll also be interested in taking a long term position in VXV as a fund, prop desk or institution.

The main import here is that during our talks with S&P, they are the ones that mentioned they are looking to acquire companies like ours. This is the only data point we can disclose as anything beyond this would be classified as ‘material nonpublic information’.

There is no other crypto positioned in the traditionals markets like VXV. Bottom line.

[1:03:57 PM]:ABT Crypto

> Kasian Franks

> There is no other crypto positioned in the traditionals markets…[reply to]

Why are you soo confident Vectorspace will be first in line for a Nasdaq listing in 2022 and is there confirmation?

[1:08:39 PM]:Kasian Franks

> ABT Crypto

> Why are you so confident Vectorspace will be first in line for a Nasdaq listing…[reply to]

Because we’re already in line. We have connectionss inside Nasdaq and the SEC including our law firms which operate inside the SEC and on the Street. One more thing, Nasdaq wants our datasets:

[1:11:11 PM]:ABT Crypto

> Kasian Franks

> Because we’re already in line. We have connections inside Nasdaq and the SEC including our law firms… [reply to]

Sounds great, So there’s no doubt there!

What is your biggest fear in terms of the future of Vectorspace — whether that be SEC regulation crypto market volatility or competition and why?

[1:12:49 PM]:Kasian Franks

Our biggest fear would be not maximizing the opportunity we see ahead of us in the AI/ML/NLP, crypto, financial markets and more importantly, space biosciences as it involves the future of humanity.

[1:13:48 PM]:ABT Crypto

You mentioned you have a meeting scheduled in December with Neudata,
who are they and what can we expect from your work together?

[1:15:51 PM]:Kasian Franks

https://neudata.co — they are data brokers that represent over 200 hedge funds, institutions and asset management companies including some of the largest like BlackRock.

[1:17:36 PM]:ABT Crypto

How does Vectorspace ensure data protection and that it only works with companies who’s values align with their own?
so basically what reasons would you have to decline a partnership or is there a vetting process?

[1:23:52 PM]:Kasian Franks

> ABT Crypto

> How does Vectorspace ensure data protection and that it only works with companies who’s values… [reply to]

Any company or institution that works against our stated goals would not pass our vetting process. All others are allowed. We prioritize based on quickest path to revenue balanced with our engineering arm.

[1:26:35 PM]:ABT Crypto

> Kasian Franks

> Any company or institution that works against our stated goals would not pass our… [reply to]

Artificial intelligence and machine learning is clearly your specialty, for someone who has no knowledge on the topic, where is the best place to start?

[1:35:16 PM]:Kasian Franks

With an understanding that we as humans have yet to define intelligence (consciousness is an entirely different deal we are not even scratching the surface on yet). Here’s another good starting point:

A realization that Stephen Hawking, Bill Gates and Elon Musk are wrong about AI taking over humanity anytime soon as stated here by the leader in the field:

(How many AI/ML scientists would like to tell the world how black holes work? It works both ways)

Min 1:00:30

— Michael should be free to join the team now.

[1:36:57 PM]:ABT Crypto

> Kasian Franks

> https://twitter.com/antfinancial/status/868337464066408448?lang=en — Michael should be free to join…[reply to]

Thanks for the materials I’m sure everyone will find that helpful!

Ideally what does the next 5 years look like, in terms of the future of Artificial intelligence and Vectorspace itself?
What industries can we expect to see it pop up in?

[1:40:52 PM]:Kasian Franks

> ABT Crypto

> Ideally what does the next 5 years look like, in terms of the future of Artificial… [reply to]

The trend will go vertical after going parabolic. We’ll be in every industry.

[1:42:02 PM]:ABT Crypto

> Kasian Franks

> The trend will go vertical after going parabolic. We’ll be in every industry. [reply to]

I look forward to this!
Do you have any more exciting news you’d like to share about the project or upcoming listings we can expect?

[1:43:37 PM]:Kasian Franks

> ABT Crypto

> I look forward to this! Do you have any more exciting news you’d like to share about the… [reply to]

Look for for announcements from CloudQuant and Neudata Dec/Jan followed by S&P Global.

[1:48:05 PM]:ABT Crypto

> Kasian Franks

> Look for for announcements from CloudQuant and Neudata Dec/Jan followed by S&P Global. [reply to]

An announcement from any one of them would be a game-changer but together! I will definitely be doing some more research :bangbang:

To finish off, we’d love if you could help us finish this sentence: Using Vectorspace gives a competitive edge because…

[1:49:49 PM]:Kasian Franks

VXV datasets provide a competitive edge by boosting precision and profit for any company in any industry leveraging AI/ML.

[1:52:40 PM]:ABT Crypto

> Kasian Franks

> VXV datasets provide a competitive edge by boosting precision and profit for any company…[reply to]

Almost 3 hours:bangbang: $VXV Thank you again for joining us at ABT CRYPTO ACADEMY. It’s been much appreciated! Educational but extremely insightful and I’m sure others have some questions they would love to ask now!

[1:53:42 PM]: Larry Hoover

Nice AMA, @abtcrypto @deephedge, thank you both. What I would like to know is if you feel like VXV can revolutionize multiple, general fields, i.e. farming as mentioned in the medium article, or are your team focusing on larger partnerships with multi-billion dollar companies, i.e. alphabet? If you were to recieve interest from a large-scale company, for example facebook, is it possible to implement trillions of pieces of pre-existing data into your datasets efficiently? Thanks in advance

By general I mean industries as a broad term *

[1:55:37 PM]:ABT Crypto

> Larry Hoover

> Nice AMA, @abtcrypto @deephedge, thank you both . What I would like to know is if… [reply to]

Thanks !🤝:books:

[1:56:33 PM]:WOLF | #ENDSARS

Very insightful. Learnt a lot of new things myself that I never even knew will definitely be looking out for what $VXV has to come.

Well done @abtcrypto @DeepHedge :flashlight:

[1:57:36 PM]:Kasian Franks

> Larry Hoover

> Nice AMA, @abtcrypto @deephedge, thank you both . What I would like to know…[reply to]

Yes. Our datasets can be used to provide 20–30% boost in precision for any industry. We prioritize our customer targets based on quickest path to revenue. Yes, we can deal with trillions of data points. Google 10x larger than FB.

We like focusing on the big money first.

[1:59:26 PM]:Russian DeFi

Hi, i really enjoyed your AMA, very insightful i just wanted to ask, what makes VXV different to competitors and what key fundamentals are the reason huge companies like google have such faith in VXV

[2:02:37 PM]:Kasian Franks

> Russian DeFi

> Hi, I really enjoyed your AMA, very insightful I just wanted to ask, what makes VXV …[reply to]

Thanks! First off, we have no direct competitors. We will eventually, but they’ll just be noise creators. Secondly, if you plan to do what we do you better come with decades of experience and wisdom along with a very deep domain expertise in whatever vertical or industry you target. Additionally, its all about how you construct vectors, their attributes along with how your algos calculate similarity between vectors.

[2:06:09 PM]:Russian DeFi

> Kasian Franks

> Thanks! First off, we have no direct competitors. We will eventually, but they’ll just…[reply to]

Incredible, i was strapped in for 3 hours so interesting also id like to ask if i was to become an avid user of VXV what commitments can the team and developers make to users to ensure the greatest experience. Alot of us while investing, like to see the ability for projects to be used in wider society as a whole, how can you guys ensure that VXV as a whole has the correct facilities and developers to give best experience.

[2:06:18 PM]:ABT Crypto

REMEMBER:bangbang: WILL BE DOING A GIVEAWAY FOR THE BEST 2 QUESTIONS — $100 each in $VXV — this will be chosen by @DeepHedge :books:🥳

[2:06:22 PM]:Kasian Franks

If a future competitor is worth their salt, they’ll have to have a deep domain expertise in biosciences or the traditional financial markets and crypto markets along with the ability to innovate on the dataset side with the ultimate litmus being the bottom line profit. This is why we like operating in the financial markets first as it’s the only place where you live and die by the efficacy of your algos and datasets.

> Russian DeFi

> Incredible, i was strapped in for 3 hours so interesting also id like to ask if i was to become…[reply to]

CloudQuant is preparing a retail product that will suit your needs on the stock or crypto side when it comes to trading thematic baskets based on global events or topics. We’re looking at Q1 21 for this.

[2:10:19 PM]:

> Kasian Franks

> CloudQuant is preparing a retail product that will suit your needs on the stock or crypto…[reply to]

Im definitely interested and will be paying attention to this.

If you don’t mind could you leave the link to the VXV telegram groupchat so im strapped in with any announcements

[2:12:30 PM]:Tems

Hi, seems very interesting and promising! I’d like to ask if and how customers are updated after data sets have being purchased if analysis has changed or shifted

[2:12:38 PM]:ABT Crypto

> Russian DeFi

> If you don’t mind could you leave the link to the VXV telegram group chat so…[reply to]

Official Telegram Channel: Vectorspace AI Community

IF YOU WERE IMPRESSED WITH THAT AMA, please be sure to join the official telegram for $VXV VECTORSPACE for updates :books:

Available on Probit & UNISWAP!

Context-controlled Natural Language Processing (NLP) & Feature Engineering for Hidden Relationship Detection in Data

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