Automation, Artificial Intelligence to be central in the post-Covid world

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Automation, artificial intelligence to be central in the post-Covid world

Last month we looked at the role of RPA in helping organisations come out of their Covid-19 isolation, and in this post we need to focus on the same yet for Artificial Intelligence (AI). At the hour of composing, there are different degrees of the lockdown limitations being lifted across Europe, with those nations that were affected first, for example, Italy, coming back to a type of normality, while others, for example, the UK, only just beginning to make those initial steps. In any case, what everybody has now started to do is look at their ‘exit strategy’ – this is not just a case of understanding how can we get back to some sort of normality as easily as possible, but looking at how some of the temporary yet transformational measures that were put in place could potentially be made permanent.

It’s clear that a lot can be achieved when there is an emergency that threatens the survival of businesses: everyone teams up, arranges and completes things in days rather than weeks, and in weeks rather than months. Many people would have thought that such a quickened implementation wouldn’t have been possible with AI. Normally AI projects take a long time to get ready and execute – collating data, assembling the models, adjusting, testing, etc is inherently a pain-staking effort. Yet, some AI should be possible moderately quickly, particularly if a lot of that plan and assemble work has just been finished by a vendor.

As an example, a health charity was facing a huge crisis as its donations had dried up overnight due to the uncertainty that the pandemic had brought. New funds were required quickly, however in such a situation you just get one get one real chance to request the cash, so you have to make sure you are asking the right people and using the right informing. The charity brought in a software vendor who had already built algorithms that were able to predict people’s propensity to donate. All the vendor required was the information from the foundation’s own CRM system to make those predictions for their donors. From the first discussion to the models being developed finished being not exactly a month.

The charity also needed to ensure that the informing was aligned with the issues and worries of their community. During the pandemic, the situation was changing step by step, so it was really tricky to identify the really important stuff. By using ‘comparative linguistics’ from a specific AI vendor, they had the option to screen their forums and social media feeds to identify what points and topics were turning out to be less or more important every week. Issues, for example, access to medical experts was important at an early stage, however moved onto the more basic requirement of the ability to purchase food. Most as of late the center topics have been around insecurity and stress. By getting this, the cause had the option to adjust their informing to their community’s with the goal that they can offer fitting help and target their donation requests sensitively.

That ability to do things quickly and simply shouldn’t stop once the lockdown is eased or over. Artificial intelligence can be instrumental in enabling your business to adapt to the possible wave of ‘routine’ work that had been required to be hold during lockdown that will presently come flooding in. The ability to emergency this work – prioritising it and channeling it to the right resources to deal with – will enable you to focus on the right things. Artificial Intelligence can, in a relatively short time, figure out how to recognise and classify various sorts of reports coming into the contact place, and can investigate messages for assumption and goal. Automating some of the downstream work after triage, using RPA for example, will increase efficiencies even further.

Some applications of AI will, obviously, still be tricky to do and will will take time and effort. In any case, there are many that don’t. Consider how these could help you now, but also if there is another wave of Covid, how they could help you cope better the second time around. Building chatbots, automating processes, and predicting demand, for example, will put you in a perfect position should we find ourselves in a similar situation. Also, remember that it will make your business more efficient and better ready to serve your customers in the meantime.

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