Sign up for dead clear insight on latest tech trends

04/08/2017
Mark Skelton

Using AI to drive up Workplace Productivity. With Facebook’s artificially intelligent chatbot experiment, we’ve been offered a glimpse of the way AI is likely to push boundaries moving forward.  Facebook abandoned an experiment, to challenge chatbots to try and negotiate with each other after two artificially intelligent programs appeared to be chatting to each other in a strange language only they understood.

In spite of the above, we’re already seeing how AI is fast becoming a day-to-day business reality. It’s driving up productivity and insight in health, manufacturing, and many other sectors. 

Mark Skelton Head of Consultancy Make contact

AI Use Cases - Using AI to drive up Workplace Productivity

Already AI engines are learning and listening to what is going on in organisations.  It’s getting very accurate at predicating trends and helping to drive business decisions.   Technology has moved to a point where it is as accurate, or in some cases more accurate, than human interpretations of the language.  When scientists were first thinking about AI there were high failure rates in what the models were producing.  Now, failure rates and accuracy have developed to such a point, they are comparable with the success and failure rates of the natural human brain.

This infographic, illustrates that 70% of business execs agree AI has the potential to enable humans to concentrate on meaningful work and 55% believe it will boost productivity and inform strategy.

AI in the Health Sector

One of the most visual use cases for AI has been presented by the Microsoft research team. In recent times, they’ve showcased use cases in healthcare, focussing on AI analysis of human body scans. 

Today clinicians spend hours studying scans of the human body looking for tumours and abnormalities.  Microsoft have demonstrated how using an AI tool it’s possible to scan captured images and build 3D visualisations of problems areas within a matter of minutes.   Microsoft and the other big vendors are truly driving up innovation in this space, and many small, agile firms focusing on AI and analytics are being snapped up by larger players. 

It excites me to think about what AI could be used for in the future.  From automated support bots providing faster more accurate responses to problems, or, potentially predicting as and when you need to scale your infrastructure. The possibilities are limitless.

AI in the Insurance Industry

You only have to watch the Microsoft Inspire day 2 key note this year when Julia White demonstrated an end user interfacing with a dummy set up for the website of an insurance firm. 

Here, she demonstrated how the Azure Bot framework could respond with human-like answers, but, even more amazingly, also interpret her feelings.

Breaking down language barriers

The integration of AI into Skype is another interesting development.

With Skype Bots you can now ask for support from bots on fixing traditional Skype issues.

But their real time translation services are also set to drive up global productivity.  With Skype Translator you can now have a full blown conversation with someone, let’s say in China, and the translation service will convert in real time into mandarin and vice versa.

I can now interface with people in my native language in different countries around the world.

Pushing your digital potential with Augmented Reality

This is a true passion of mine and I’ve been keeping a close eye on the developments of products like Hololens.  Nothing illustrates the potential of this technology better than the ThyssenKrupp Elevators case study.  It shows this technology is way more than a gaming platform.

What’s clear, is that the organisations who embrace technologies, such as Big Data, AI and augmented reality will be the next market leaders in their fields.

Any CIO not looking into these types of technologies and having a vision for how they can be used, will fall behind, regardless of the sector. 

If you’re wondering how to use Cloud or thinking about using AI to drive up Workplace Productivity, please get in touch.

Thought piece

Add new comment