Artificial Intelligence (AI) has entered a new phase over the past few years. Computer power has increased considerably. The advent of the cloud means that data storage and computing power are available without restriction. Because of this, AI algorithms can now be used in a practical way. AI is now an integral part of our lives, from voice-controlled assistants to facial recognition. Companies are also keen to implement AI. But studies have shown that the use of AI tends to stagnate in many companies. Let’s have a look at the main reasons for this.
Many publications have been written about the challenges posed by AI. Three of these challenges seem to feature in almost every publication:
Companies that successfully implement AI have solved the first two issues by using a data strategy. This data strategy is often combined with a ‘cloud-first’ strategy; all relevant data is stored in the cloud. A first step can involve moving existing applications and databases tot he cloud. Organisations who are serious about AI tend to store their data in a dedicated data platform that runs in the cloud. This enables them to perform smart analyses and develop AI applications.
More and more companies have an active policy regarding data quality. Laws such as GDPR means companies are obliged to keep a tight grip on the data they use, especially when it comes to personal information. Data can change through time. By applying active data management, you’ll increase the quality of your data. Data-management solutions are available to support you with this.
To prevent your company reinventing the wheel, we advise to explore a solution that has already been proven to work in your industry. Whether you’re in manufacturing, logistics or retail, using a solution and vendor that has already yielded results in your industry, you’ll save time and money.
It’s in Luminis’ DNA to embrace up-and-coming technologies. Because of that, we have comprehensive experience with establishing and implementing AI and similar techniques, such as machine learning and deep learning. We help customers in several fields:
Would you like to get started with AI? Or are you looking to expand your use of AI? We’re happy to help. Please get in touch.