DIY AI

BY ISAAC WILSON 

DIY AI / BY ISAAC WILSON 

We’re all great at wanting to give things a crack, it’s just human nature to look at something and claim “I can do that”.
 
While that’s admirable for my 10-year old’s cricket aspirations, we need to be smart when we are considering building infotech solutions from scratch or buying something that someone else has created. 

This has even more relevance the fast paced emerging AI space. 

Our experience has shown that it takes many iterations to develop a piece of AI tech in order to really nut out how to optimise it and get the most out of the solution – it’s not just a case of scribing out some python code and then deploying it. 

There is a middle step in there called “trial and error” and unless you’ve got a serious amount of time to tweak, adjust, discard, and build again, then you’re probably better off getting a solution that is already doing the job you need. 

This will allow you to fast track your time to getting the outcome you need and free up your tech whizz for other bespoke solutions that must be done internally. 

This doesn’t mean that you will have to settle for an ill-fitting out-of-box solution as any AI solution partner worth their salt will be able to work with you to optimise the solution to your specific needs. 

Plus, you will get all the learnings they’ve gained from deploying their solution in many more scenarios than you would ever be able to replicate in your single organisation – group learning is hugely advantageous in AI – after all that this the whole point! 

So, think hard before you get into DIY AI, as there may be smarter options out there that can shortcut the development cycle and get the outcomes you need faster.
The data universe is massive, so let’s use it .

In 2019 the volume of data in the data universe is reaching a critical mass in terms of providing valuable insights. 

Think of the quantity of media articles, blog posts, social media feeds all sitting out there in the data universe, telling us something if only we could harness it. 

Many organisations are still using traditional market research techniques to understand their customers, their markets, or answer any other question they may have. 

This is not cheap, and it comes with all the limitations of sample size, representativeness, and timeliness issues. 

We believe the future lies in how we can harness this “data universe” to create actionable market insights that are fast, accurate, and don’t cost the earth. 

By creating connectors to all the main publicly available data sources and then using cutting edge AI text analytics it is possible to create stream a consciousness that market researchers can only dream of!

Give Text Ferret a try today with a Free Trial!
The data universe is massive, so let’s use it .

In 2019 the volume of data in the data universe is reaching a critical mass in terms of providing valuable insights. 

Think of the quantity of media articles, blog posts, social media feeds all sitting out there in the data universe, telling us something if only we could harness it. 

Many organisations are still using traditional market research techniques to understand their customers, their markets, or answer any other question they may have. 

This is not cheap, and it comes with all the limitations of sample size, representativeness, and timeliness issues. 

We believe the future lies in how we can harness this “data universe” to create actionable market insights that are fast, accurate, and don’t cost the earth. 

By creating connectors to all the main publicly available data sources and then using cutting edge AI text analytics it is possible to create stream a consciousness that market researchers can only dream of!

Give Text Ferret a try today with a Free Trial!
The days of generating insights from a single dataset are fading, we are seeing our innovative customers starting to push the boundaries by layering up many disparate datasets and then using advanced toolsets, like text analytics, to unpack the insights. 

We call this “data filo” - remember your mum making a filo pastry apricot dessert, layering up all those super thin pastry layers until she had a pastry wrapping capable of holding that sweet apricot stuffing, and boy it tasted fantastic once it was baked! 

That’s what we’re doing here, layering up to 30 different datasets, joining the common variables, and then analysing to create cross-dataset insights.

Powerful stuff. 

The analysing phase lends itself to using text analytics capability, which will deliver in-depth insights from both structured and unstructured data-fields.  

So, don’t rest back on a single dataset, get your filo data up and going and then use the most advanced tools you can find to turn it into a tasty feast of insights!

Give Text Ferret a try today with a Free Trial!
The data universe is massive, so let’s use it .

In 2019 the volume of data in the data universe is reaching a critical mass in terms of providing valuable insights. 

Think of the quantity of media articles, blog posts, social media feeds all sitting out there in the data universe, telling us something if only we could harness it. 

Many organisations are still using traditional market research techniques to understand their customers, their markets, or answer any other question they may have. 

This is not cheap, and it comes with all the limitations of sample size, representativeness, and timeliness issues. 

We believe the future lies in how we can harness this “data universe” to create actionable market insights that are fast, accurate, and don’t cost the earth. 

By creating connectors to all the main publicly available data sources and then using cutting edge AI text analytics it is possible to create stream a consciousness that market researchers can only dream of!

Give Text Ferret a try today with a Free Trial!
The data universe is massive, so let’s use it .

In 2019 the volume of data in the data universe is reaching a critical mass in terms of providing valuable insights. 

Think of the quantity of media articles, blog posts, social media feeds all sitting out there in the data universe, telling us something if only we could harness it. 

Many organisations are still using traditional market research techniques to understand their customers, their markets, or answer any other question they may have. 

This is not cheap, and it comes with all the limitations of sample size, representativeness, and timeliness issues. 

We believe the future lies in how we can harness this “data universe” to create actionable market insights that are fast, accurate, and don’t cost the earth. 

By creating connectors to all the main publicly available data sources and then using cutting edge AI text analytics it is possible to create stream a consciousness that market researchers can only dream of!

Give Text Ferret a try today with a Free Trial!
We’re all great at wanting to give things a crack, it’s just human nature to look at something and claim “I can do that”.

While that’s admirable for my 10-year old’s cricket aspirations, we need to be smart when we are considering building infotech solutions from scratch or buying something that someone else has created.

This has even more relevance the fast paced emerging AI space.

Our experience has shown that it takes many iterations to develop a piece of AI tech in order to really nut out how to optimise it and get the most out of the solution – it’s not just a case of scribing out some python code and then deploying it.

There is a middle step in there called “trial and error” and unless you’ve got a serious amount of time to tweak, adjust, discard, and build again, then you’re probably better off getting a solution that is already doing the job you need.

This will allow you to fast track your time to getting the outcome you need and free up your tech whizz for other bespoke solutions that must be done internally.

This doesn’t mean that you will have to settle for an ill-fitting out-of-box solution as any AI solution partner worth their salt will be able to work with you to optimise the solution to your specific needs.

Plus, you will get all the learnings they’ve gained from deploying their solution in many more scenarios than you would ever be able to replicate in your single organisation – group learning is hugely advantageous in AI – after all that this the whole point!

So, think hard before you get into DIY AI, as there may be smarter options out there that can shortcut the development cycle and get the outcomes you need faster.
Ready to innovate and be truly customer-centric?
Ready to innovate and be truly customer-centric?