In 2019, organisations are no longer just thinking about exploring emerging technologies. Instead, they are implementing disruptive technologies like mobile, social, cloud, artificial intelligence (AI), etc. as standard. But, if you are just starting to consider how you can use AI to support your business, it can be daunting.

Here are some top tips to help you put in a successful AI strategy in place.

Figure out what you want to achieve

At Cloud Geeni, we believe that you should never invest in technology (or anything else!), just for the sake of it. So, before you spend one single penny, you should establish what problems you want AI to solve. For example, you might deploy AI to:

  • Reduce the burden on your customer service teams
  • Provide 24/7 support to your customers
  • Become more innovative
  • Become more efficient
  • To reduce costs
  • And more!

Recognise that you don’t have to do everything at once

AI can help to support a huge range of business functions, but if you tackle everything at once, the process can quickly become overly complicated and burdensome. So, once you know what you want to achieve with AI, the next step is to create a roadmap of what needs to be done.  Look at where you can make small but immediate and valuable improvements with AI, and then work up.

Get your data in order

Big data has become big news. Not least because the global datasphere is predicted to grow from 33 zettabytes in 2018 to 175 by 2025. That’s a tremendous amount of information set to be stored and shared between devices, storage systems, and data centres[1].  To maximise the potential of AI technology, the ability to harvest your organisation’s data is essential.

This includes:

  • Structured data. Information that is easy to organise. For example, data that can be held in a straightforward, searchable database
  • Unstructured data. Information assets that aren’t easy to interpret or store in a traditional database. For example, text-heavy documents, social media posts, etc. Currently, unstructured data takes up over 80% of all installed storage capacity and is continuing to grow
  • Multi-structured data. Data stemming from interactions between people and machines. This can take a variety of formats.

Get your staff onboard

Employee buy-in can make the roll-out of any new technology much smother. Let’s face it; if your staff are on-board and see the benefits, they are more likely to use it and positively deal with any issues. But, when you talk about investing in AI, it’s not uncommon for people to worry that they are about to be replaced by robots.

Of course, AI can undertake many mundane and routine tasks much quicker and cheaper than people. But that doesn’t have to lead to redundancies.

Take accountancy for example. When it comes to crunching numbers and generating financial statements, AI is already able to complete administrative tasks quicker and more accurately than humans. So, for accountants who view those jobs as the whole reason for their being, the next few years are going to be tough.

But modern accountants are much more than bean-counters. They supply insights, advise clients on how to improve their finances, and anticipate future trends. And, by removing the routine, administrative tasks, the software they use helps them to do more analysis, interpretation, and strategy, and less dull, clerical chores.

Show your employees how AI will help them and how you will equip them with new skills to give this technology the best chance of success in your organisation.

Appoint a trusted partner

Once you have decided that you need AI, you next have to think about how to implement it into your business. Appointing a trusted partner helps to make the whole process smoother and more cost-effective. And, with an expert vendor, upgrades and improvements will be made as standard. With the world only beginning to imagine what might be possible with AI, this could be vital to the future of your business.

If you’re thinking about investing in technology to aid your organisation’s digital transformation, speak to a member of our team to find out more.


[1] Data Age 2025. The Digitization of the World. An IDC White Paper. 2018