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Using AI to transform enterprise-wide applications

In Software & Cloud Economics

How can the enterprise profit from AI and deliver benefits to customers?

Artificial intelligence (AI) has been gaining a lot of traction over the last few years. From industrial robots to predictive analytics, there is certainly a lot of buzz around the subject.

AI has also extended its reach into business and will become an essential ‘next stage’ in helping enterprises during their digital transformation journey. It is empowering them with capabilities such as deep learning, Natural Language Processing (NLP,) and cognitive computing that can interface with human beings on a, well, more human level.

According to the State of AI in the Enterprise report , machine-learning adoption (ML) was already high in the enterprise at 58 percent in 2017, growing by a further five percentage points in 2018. At the same time, fifty percent of those questioned also said they now use deep learning, a 16 point increase in just two years. Furthermore, some sixty-two percent of respondents confirmed the adoption of NLP, a nine-point jump on the last.

With that in mind, how can AI be used by businesses in transformative enterprise-wide applications to boost productivity?

 

Getting the benefit of AI

The real benefit in using emerging technologies such as automation and AI is to enable an enterprise to decrease its costs, promote innovation and boost productivity by liberating workers from more routine tasks, as well as gaining agility and flexibility in the process.

AI will also help the advance of other technologies into the mainstream enterprise. For example, it will help the rollout of the Internet of Things (IoT) in that AI can be used to process the large volumes of data that IoT will generate from its devices.

With more data whizzing around the enterprise infrastructure, automation and AI will be needed in managing that data and making sure it doesn’t put an undue strain on the network. That’s because AI can deal with network complexity, allowing the workplace to become more agile.

But for these benefits to be realised, organisations need to ensure the technology is plugging a gap for fixing a problem. Without a clear strategy in place, there will not be much in the way of a return in investment. An enterprise cannot simply implement AI for the sake of it. First of all, business leaders need to identify the problem that needs addressing so that AI integration can be deployed.

 

Getting the enterprise ready for AI

Once the use cases have been established, an enterprise needs to make sure it is ready for AI so as not to get systems overwhelmed.

This means ensuring data is ready for AI. Having a central hub for data is useful as it will be able to extract and analyse data from many sources. AI can then see the full picture to gain the necessary insight to help the business and ultimately its customers.

To do this, AI also needs to be built into an enterprise’s foundations. The journey to AI means enterprises need to start seeing themselves as powered by it, as AI melds people and processes with artificial intelligence.

 

Overcoming the challenges of AI

However, there are a number of challenges associated with integrating AI into the enterprise. These include control, legacy systems, and skills.

Firstly, the enterprise needs to control the scope of AI-based decisions. This means being able to change from the opaque way AI makes decisions (i.e. not easily explainable) to something transparent and explainable. This is necessary with laws such as the General Data Protection Regulation (GDPR) where companies must be able to explain the logic behind AI models using European customer data to make decisions.

Using a T-switch can enable enterprises to set thresholds for AI transparency or opaqueness. When set to transparent, AI must provide information about how it came to the decisions it made.

Second, it is important to note that many enterprises have legacy systems that will need to integrate with AI. It is a challenge to figure out how AI will fit in with existing systems and processes, so a good partner here will be able to advise on the best course for overcoming such issues.

Thirdly, enterprises need the necessary skills and people who can work with and comprehend the technology. Finding the right people to integrate AI will be a significant challenge and this is why using a trusted partner, such as Crayon, can help in addressing that skills gap.

Overall, the most advanced companies in terms of AI are also the most advanced in effort to digitally transform their business through services such as Cloud Easy. There is no better time than today to start that transformation journey.