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AI Series Part One: AI and Machine Learning

May 30, 2018

It’s fascinating to see the ways in which AI has exploded into the mainstream (hopefully we’ll avoid any Terminator-like “SkyNet” disasters!)

In particular, part one of our three part AI Series looks at using AI to crunch data with machine learning - generally described as a computer trained to learn and make recommendations based on data insights. These recommendations provide the ability to make accurate predictions and enhance system performances or personal experiences.

Machine learning has already been adopted in major technology-dependent sectors such as banking, healthcare, aviation and even space exploration:

“(ML) technology is expected to power future space exploration as it can handle huge data volumes, find patterns in planet image datasets, and predict spaceship condition.”

- medium.com

Satellites and space telescopes have already collected a large amount of data. Images provide the main source, but the challenge is how to identify information from the images. ML has become an effective technique for solving these problems.

Machine Learning and AI

Machine learning has progressed since its beginnings in pattern recognition. The theory that computers are able to learn without being programmed to perform tasks has evolved with the rise of AI, and since then research has been focused around proving that computers could actually independently learn from data.

Industries working with large amounts of data recognise the benefits of modern machine learning technology. By mining insights from this data companies are able to work more efficiently or gain an advantage over competitors.

Did you know that Machine learning can be applied to your existing systems in order to modernise and enhance your service and give you a competitive edge? It does not always require a brand new system that can be costly and disruptive. Another form of AI that can be adopted smoothly into existing systems is that of “Augmented Intelligence”.

AI: Augmented Intelligence

We are continually looking for projects to push the boundaries of using AI. When discussing AI we’re also referring to “Augmented Intelligence” as well as Artificial Intelligence. Augmented intelligence emulates and extends human cognitive function through the pairing of people and machines.

“Forward-looking companies and industry experts agree that augmented intelligence is the most effective way to maximize the value of AI”

- CognitiveScale.com

Bitjam and AI

At Bitjam we recognise the need for software maintenance, updates and sometimes entirely new systems. We know that the idea of a complete overhaul of your IT-based systems is a concern, yet interoperability might cause long-term challenges in terms of business development. So how can Augmented Intelligence provide the solution?

Bitjam can help you connect with IoT devices to modernise existing services and delay the need for entirely new technology and data systems.

Last year we put our knowledge to the test and created ANNA - a machine learning algorithm that analyses poetry and audibly delivers it in an old-fashioned regional Potteries dialect. Part two of our three part AI Series this Friday will revisit ANNA and share with you the interesting results!

The final part of our three part AI Series next week will focus on the ways you can consider adopting AI for your own systems, how to approach decision-making and the ways in which Bitjam can assist you with the transition.

To learn more or to discuss any projects you have that Bitjam might have the solution to, you can email [email protected]



AI Series Part Three: Integrating AI Technology with Existing Services

June, 2018

AI Series Part Two: Bitjam and Anna

June, 2018

Your Personal Healthcare Companion

February, 2018