The new customer experience

21

October

2018

No ratings yet.

In the digital era, where customers demand increasingly better service and products, customer service has become one of the most important activities of companies nowadays. The corporate image depends quite heavily on the customer service that is being offered. A great customer experience leads to more satisfied customers, and therefore a larger retention rate of these customers.

One way of achieving better customer service is the implementation of chatbots, which have multiple advantages. Usage of chatbots leads to faster answers, which is crucial for responding to impatient customers. Secondly, chatbots can answer frequently asked questions automatically so that customer service employees can spend their time on more complex questions. Thirdly, chatbots are proactive: they start the conversation by asking “Can I help you?” or likewise. Other advantages are fewer errors, increased customer engagement and they can even perform simple tasks such as transferring money.

However, there are some disadvantages too. One of them is the fact that only a small part of the population uses them: over sixty percent of users of chatbots are teenagers. This indicates that people older than that are reluctant to use them. When planning on implementing chatbots, companies should keep the customer segment they target in mind. Secondly, chatbots are unable to improvise when they do not have the required knowledge that a certain question demands. Using a chat bot is therefore not appropriate for very complex questions. Lastly, they do make mistakes, which is important to realise. For example, chatbots don’t get sarcasm.

Would you implement a chatbot in your future business?

Sources:

https://www.forbes.com/sites/forbestechcouncil/2018/05/25/the-best-tech-innovations-of-the-last-three-years/

https://www.livechatinc.com/blog/chatbots-improve-customer-service/

https://www.hubspot.com/stories/chatbot-marketing-future

Please rate this

AI or AIn’t?

17

October

2018

No ratings yet.

“Facebook’s AI is scanning your memes for hate speech” – (BusinessToday, 2018)

Recently, Facebook is under fire since it has become known that Cambridge Analytica used data from millions of users to try to influence elections. Consequently, Facebook was in the middle of a scandal and shares dropped rapidly.

Because of that and other reasons, Facebook has invested in a machine learning system called Rosetta that scans text in images and videos of all kinds for hate speech and other inappropriate language. Text recognition systems have proven to perform insufficiently due to the large amount of images shared on the social medium every day. Rosetta is able to understand context, because the system can distinguish between a joke and hate speech.

However, AI on itself is not the “magical solution” to hate speech (yet) and there are still quite some hurdles to overcome. A great example is Rosetta, which I already mentioned. It is not as good at finding hate speech as expected (and wished); only 38 percent of the discovered hate speech was flagged by the artificial intelligence system. This means that almost two-third is still done by humans. We can start wondering if AI will ever be as intelligent as we wish it to be and to what extent AI’s are able to operate on their own.

Human language and interaction is very complex and so broad, that whole studies are written about it. Is it therefore realistic to expect that AI will be able to find hate speech and other inappropriate language one-hundred percent of the time? As far as we know, we are not there yet, but who knows what future technological developments will bring.

Sources:
https://www.businesstoday.in/technology/news/facebook-artificial-intelligence-rosetta-is-scanning-your-memes-for-hate-speech/story/282296.html
Facebook data scandal: How could likes profile voters for manipulation?
https://www.cnbc.com/2018/05/15/facebook-artificial-intelligence-still-finds-it-hard-to-identify-hate-speech.html
https://www.researchgate.net/publication/300702987_The_Complexity_of_Human_Interaction

Please rate this