How Artificial Intelligence Will Transform Information Technology

Technology appears to follow a nice progression

Each new version is slightly better than the last

Rarely do we see completely different new, because it’s much easier to stick with we know works

Every so often though, somebody comes up with something new and this triggers a new wave of innovation

Then there’s a new direction to follow

At the start of the 20th Century, we built cars in much the same way as we built ships

We created massive structures, the cars stayed still, and the specialists moved around them.

Henry Ford’s invention of the moving assembly line changed that, and took the product to the people, not the other way around

This allowed him develop experts in a specific tasks. They performed their activity and the product moved to the next stage

Through this could could produce a standardised vehicle in 90 minutes, rather than 12 hours, lowering the cost of manufacture considerably

If you look around at a modern IT department, you’ll see all sorts of specialists working on data

Some people will look after the pipelines, some the storage, some the modelling, visualisations, security and deployment

And each activity will come with its own set of tools

Any wonder, IT costs in organisations are blowing out of control, as the technology becomes increasingly complex

But for some time now, I’ve wondered whether this is reason smaller businesses struggle with technology adoption

So perhaps.. instead of the technology moving around the data..

We move the data through the technology and create an assembly line for business knowledge

Well, thanks to cloud computing, and a few other emerging technologies, that’s exactly what we’ve done

Our approach is to ingest raw data at one end, and push business knowledge out the other in a one-shot continuous operation

Now of course this doesn’t work in every scenario, and as you’d expect, not all cars are built on a moving assembly line

And we continue to build ships in the same way

But not all organisations will need – or can afford – a complex sets of data processing technologies

So our approach with Knowledge Orchestrator is to work with customers to build integrations that help them solve specific problems

Instead of investing in technology that sits around idle, we use cloud computing to dial up the resources as and when we need them

And because we process everything in-memory, we don’t have to worry about data being corrupted along the way through storage and retrieval

This makes it more secure and reliable than the traditional multi-stage approach involving database technologies

But as we were developing this, we realised there were some other unintended advantages

Because data is processed in a highly standardised way, it becomes very easy to incorporate advanced steps such as Artificial Intelligence algorithms

Which means our customers can get access to some amazing technologies, without having to invest the hardware, software and resources themselves

This production-line approach helps lower the cost of knowledge production, so customers focus more on what they do best

It’s another reason why we think Knowledge Orchestrator can help customers transform to the modern workplace

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