This is what companies need for the development of artificial intelligence.
The use of artificial intelligence (AI) enables data-driven companies to automate elaborate processes in next to no time. Programming your own AI solutions, however, requires more than just a good idea and the necessary funds. The successful implementation of one’s “own AI” project requires three important attributes from companies above all.
- If there are no suitable AI systems available to purchase on the market, companies can program their own.
- To do so, however, companies have to meet a few criteria, as Malte Zuch, Lead Data Scientist at EOS knows.
- In addition to the data quality and a competent team of developers, it depends above all on the mindset.
“Artificial intelligence holds great potential for working in a resource-efficient manner – away from expensive manual processes and towards automatic data processing. EOS realized this early on,” says Malte Zuch, Lead Data Scientist at EOS in Hamburg, Germany. The sector is too specialized for off-the-shelf software. The result: At the in-house Center of Analytics (CoA), his team is successfully programming its own AI solutions for the debt collection and investment business. Three attributes are crucial for this: well-trained staff, a positive error culture and last but not least data, data, data.
The better the data, the better the AI.
Data scientists wanted: well-trained a must – diversity a plus.
However, the search for suitable staff is often not easy for the company: “Artificial intelligence is still a relatively young industry with relatively few specialists – for a long time it was difficult to get into due to a lack of training options. In my time, there were still no serious training opportunities.” This certainly looks different today: In the past few years, many universities have expanded their curriculum to include courses relating to AI, which gives hope for less pressure on the job market.