Hi, welcome to 'This is My Architecture'.
Today, we are joined by Pep from Aizon.
Welcome, Pep.
Thank you for having me.
Thank you for being here.
So tell us a little bit about Aizon.
What do you guys do?
At Aizon we build a SaaS platform to enable the pharma and biotech industry
to use AI and machine learning in compliance.
They are under very strict regulation from organizations
like the FDA and the EMA.
And this is a crucial point.
And compliance is like a key word for your industry, right?
Absolutely, otherwise they cannot use data,
they can build any model they want, no compliance, no batch can be released.
Absolutely.
So you provide platforms to your customers that has the data ingestion,
processing, use the ML and AI for getting insights, transformation,
visualization, et cetera.
Today we have the first part, which is the ingestion and the processing of these data.
Can you walk us through this architecture?
Absolutely.
Collecting data is the nearest step for later
doing complicated things like AI and machine learning.
And this is not trivial either.
The pharma industry leverages sites across the world.
They manufacture millions of billions of pills or vaccines,
and they have those factories spread across the world.
It's very important to know at every single moment, how this is going.
Am I meeting the numbers I need in doses to the market?
In pills that need to reach?
These data is located in manufacturing sites
that generate terabytes of data per day.
This data gets collected by software agents that they download from the platform,
and we leverage IoT to collect this data
and upload this data to the cloud.
Why specifically you're using IoT in this context?
It's definitely not exclusively for transmitting data.
It really facilitates the orchestration and management of our software agents
that are spread across the world.
The IoT allows to see you, which is the status
and what you need to do.
Then IoT ingest this data into Kinesis.
In Kinesis, we can manage all these terabytes of data for later processing.
We need to make sure that all the data that's coming in, it's in the proper format.
We need to get rid of rogue data.
We need to envelope these data with this compliant envelope
to understand every single byte of data: who, when, where, what
and why it's been used for.
Later, Lambda ingests all the data in Elasticsearch.
We use it for real-time or near real-time visualization.
But you need persistence.
And we leveraged DynamoDB for that.
We store this data in persistent storage.
So we make sure we don't lose this data.
Data is the most precious thing that our customers give to us.
Absolutely.
And what about the data lakes that you build for your customers?
How do you do that part on the transformation?
The data lake is a crucial part of the whole schema.
All the data needs to be there
and needs to be there for years to come.
For that we use S3.
We store all the data coming in, in a readable format, JSON files in S3.
The pharma and biotech companies need to have this data
always ready, always readable.
Even if everything else disappears, these files needs to be readable.
But this is probably not the most efficient way
to later grab data, to later query this data.
So for that, we make cyclic processes of the data
using Glue to transform to formats like parquet,
binary formats, that later can be queried, recovered,
and we can get batch information of all of this data.
If Athena calls, it can be shown using an API gateway
in websites, dashboards that our customers
can have always and readily available.
Absolutely.
And get the insights for actually doing the actions that they need.
Thank you.
And you work in an industry that is transforming at a fast pace.
How do you see the future of this industry?
This industry is changing, and it's gonna change even more.
We see the future with self-driven operation manufacturing sites
that they self-optimize and manufacturer
and even send and call for distribution of the drugs.
Our goal, our mission is to make sure that the right drug
reaches the right people that need it at the right time and the right price.
That's a very important aspect.
Thank you for sharing this architecture with us today Pep.
Absolutely, it's been a pleasure.
And thank you for watching 'This is My Architecture'.