Let’s Put Smart to Work

Share this post:

Let’s Put Smart to Work: By combining talent and technology, people are changing their businesses – and the world.

Today, we live in a world filled with smart technology. But it’s only really smart when it’s put to work at scale, from agriculture and conservation to healthcare, security and global trade.

Technology has to be more than smart.

Technologies like AI, cloud, blockchain and the Internet of Things (IoT) will change the world. But only if they can be effectively trained, trusted and applied.

Together with our clients, IBM is putting smart to work.

Technology today is smart. But is smart enough? You have to know how to apply it, train it, trust it, and make it secure. When you put smart to work for business, you can change the world. Watch the video below to find out how you can use our technology how you can put smart to work.

Click here to read how your industry can use our technology.

Click on the following industry in order to read use cases on how this industry is working smart:

For any further questions do not hesitate to contact me at

Innovation Executive - IBM Watson - Apple Alliance Manager Global Business Services

More AI stories

The transformative value of data

The transformative value of data Today, organizations in the industrial-related industries are dealing with unprecedented external challenges from both traditional and new market entrants, that is resulting in the need to redefine their relationships with their customers and also reinventing how indeed they deliver their core services. In IBM, we see our customers driven by […]

Continue reading

Why do we need to talk about ethics and bias in AI?

I wonder if it is a form of guilt that has started to hit the tech industry. Everywhere you start talking about ethics, and terms like surveillance capitalism and economics start to creep into the language. Overall, we – or at least large parts of the industry – have a feeling that something may have […]

Continue reading

Prescribing your future with AI Machine Foresight

New AI capabilities are emerging, including extensions to conventional predicting and forecasting techniques that are quite often using machine learning technologies to model the real world. In a nutshell, while a large part of machine learning (mostly classification) aims are predicting what will happen next, decision makers may also be interested in various future scenarios […]

Continue reading