Digital Transformation

Accessible AI: automation, machine learning and SMEs

Summary

Artificial intelligence (AI) is still consistently viewed as either imperceptible and vague or entirely inaccessible. The reality is quite different: AI is far more commonplace than the majority of people realise and is already used throughout organisations of all shapes and sizes.

Owing, perhaps, to science fiction texts or the fact that news concerning AI is inevitably focused on its more extraordinary capabilities, these perceptions are entirely understandable.  

Whilst commonly seen as unattainable, though, AI is anything but – and there are a multitude of ways  SMEs can use AI. Here are five common types of AI your business can easily implement:

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Author:

Chris Flynn
Chris Flynn Product Manager

Automatically optimised digital marketing

Both Google and Facebook’s advertising platforms afford users powerful automation features. Whether your organisation runs paid search campaigns, display adverts over the Google Display Network or ads on social media platforms, all campaigns can be optimised automatically.

In each instance, you set an objective such as CTR, CPC, oCPM etc. at the campaign level and then simply inform the advertiser to continuously review and refine your campaigns to ensure maximum ROI. The advertiser’s algorithm then determines which of your creatives are most effective, the placements that drive the best results, the demographic with which your message resonates and more with the algorithm tweaking various elements of the campaign accordingly.

Chatbots

In our ‘always-on’ culture, customers expect to be able to contact customer services teams at all times. This can, of course, result in considerable additional expenditure, but there is a solution that can bridge the resultant gap.

Chatbots capable of answering frequently asked questions can be added to company websites with relative ease and, thanks to AI and pre-programmed linguistic algorithms, can regularly identify common requests irrespective of the way they are worded. Surprisingly, many solutions come ‘out-of-the-box’ and can be implemented without coding.

Cyber security

With organisations facing an increasingly large and continuously growing array of cyber threats – coupled with the passing of GDPR legislation and the potentially gargantuan fines that can be levelled at companies as a result – combatting this threat should be a priority concern at all organisations. The Information Commissioner's Officer recently announced that British Airways was set to be fined £183.39M for a cyber incident that compromised half a million customers' personal data.

Top 10 GDPR fines

Leveraging the power of AI and continuously analysing vast swathes of anonymised metadata and observing network behaviour, next-generation cyber security solutions such as anti-virus software, firewalls and filters are capable of identifying a greater number of threats than at any other time in history. These solutions adapt to changing landscapes and new hazards independently to provide organisations with aLargest data breach fines by yearn unprecedented level of protection with regards to cyber crime.

Smart office devices

Business expenditure must always be subjected to scrutiny. Every penny that is spent must be considered and more efficient practices sought. Smart devices, installed throughout an office, can cut waste expenditure by analysing environments and adjusting lighting, heating etc. automatically in order to reduce day-to-day costs.

Many organisations are also moving towards smart receptionist technology, allowing visitors to sign in for meetings via a tablet that alerts their host instantly via email. Other businesses use video conferencing solutions to have a centrally based receptionist that can greet visitors at multiple sites via a TV screen.

Forecasting and analysis

It’s no secret that we, as a society, are creating data at a truly unprecedented rate. When subjected to analysis, much of this can reveal valuable information that will enable more efficient practices and processes.

Combining analytical tools with artificial intelligence and algorithms can negate the need for salient metrics to be reviewed manually. In turn, this means that results are consistently generated quickly and accurately making it far more likely that organisations can, for example, meet seasonal demands. Furthermore, the valuable insights such setups can provide can aid the decision-making process by ensuring that stakeholders are more informed.

Conclusion

AI and automation may seem to be the preserve of large organisation but – whilst advanced – this technology is both accessible to and has numerous potential applications for SMEs across all industries.

Effectively harnessing these powerful tools to their full potential, however, requires a well-thought-out strategy that considers every facet of a business. To find out more about how AI and automation can propel your business forward, get in touch with ROCK’s consultancy team.

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