The contribution GPT-Realime: The end of the call center moves closer to the online magazine Basic Thinking. You can start the day well every morning via our newsletter update.
With GPT realtime, Openaai has presented a new, advanced Speech-to-Speech model. This allows themselves to build language assistants who can have discussions and record reliably and reliably. The question arises: What happens to the many support employees?
Background: GPT-Realime as a support replacement
- At the end of August Openai Gpt-Realime and the associated real time api published. It is a so -called Speech-to-speech model. This means that artificial intelligence does not have to translate the one in text in order to then formulate an answer in text form, which is then output as an audio, but responds directly and in real time to inquiries. So the AI has a real conversation.
- At the start of GPT-Realime they are Cost With $ 32 per million audio input token, relatively high. Alex Levin, CEO at the Voice agent specialist Regal.io, Writes on LinkedInthat Competitive products are currently four times cheaper are. However, it can be assumed that Openai Press the costs quickly due to the scaling in the mass can.
- In addition, more and more corporations Build up massive positions in your customer service departments. Salesforce boss Marc Benioff has, among other things announcedthat 4,000 jobs in customer service are replaced by AI. The employees should – supposedly – continue to be employed in sales.
Classification: Win-win situation for companies
Customer service is one of the biggest Pain Points of every company. Anyone who as a company does not offer any or poor support is heavily criticized for this – Neobroker Trade Republic is a prime example of this. On the other hand, if you take the trouble and build a powerful support team, you can see yourself very high personnel costs confronted.
With human support, it is not even ensured that the customers are ultimately satisfied with the advisory service. A look at rating portals such as “Trustpilot” is completely sufficient. So it is one in the end Win-win situation for companiesif you integrate voice assistants based on GPT-Realime.
On the one hand, the external presentation improves: with AI assistant, one can be one without any problems 24-7 enableability Manufacture – without annoying labor law discussions. On the other hand, sophisticated Voice agents ensure that the number of employees in Support solidly put together becomes. Because if we are honest we know: Set that can be saved are saved – despite all the supposed dementia in advance.
Voices
- The telephone company T-Mobile has introduced the new Openai technology after a six-month test phase. Kirby ThortonSenior Product Manager of AI at T-Mobile, says: “The Realtime API from Openaai and the new Speech-to-Speech model make our upgrade assistant work naturally: quick change of speaker, customers can interrupt and redirect in the middle of the sentence, and the voices sound human -like. The model reliably follows instructions and, thanks to Function Calling, is safe with our price, inventory and offer data. It is the first voice stack that we used to Great use experience with reliability Combined that we need in productive operation. “
- Andreas Granig is CEO at the telephone service provider Sapront. He sees the business models of many Voice-AI start-ups in danger. In one LinkedIn post He writes: “There are a number of start-ups that only provide an interface to the public telephone network for existing Speech-to-Speech-Ki services-often without any noteworthy burial graves and largely depend on Twilio and others. And now they are under massive pressure.”
- Salesforce co-founder Marc Benioff beats in the podcast (from minute 1:45) in the same notch. “I reduced the number of service employees from 9,000 to 5,000 because I need fewer employees. […] We now have an agent -based sales that calls back every person who contacts us. ”
outlook
It’s no secret that the Low -wage sector is very threatened by artificial intelligence. This creates the question of what the millions of support employees do around the world when they lose their positions? Employment in sales, such as Salesforce, is only an interim solution.
With GPT-Realime, there is currently no possibility to evaluate the results to the full extent. It is therefore only possible for companies to assess the statements made of what a control difficult designed. The higher costs are also a hurdle at the beginning, especially for start-ups and SMEs, which means that one or the other long-standing service employee will keep their position for a few more years.
However, anyone who observes the development of AI and voice models in recent months and years also knows that both the control options and the financial problem will no longer be an obstacle. With better AI models and one Consolidation in the AI market the prices will fall and the performance will get better. And then unfortunately it will be difficult for human service employees.
Also interesting:
- Why you shouldn’t upload pictures of yourself to Chatgpt
- Missing dividends and bad customer service: Trade Republic has learned nothing
- Tasks, skills, everyday life: What does a Director for Customer Support do?
- Bad customer service: You can do that in the event of problems – and these are your rights
The contribution GPT-Realime: The end of the call center moves closer to Basic Thinking. Follow us too Google News and Flipboard Or subscribe to our update newsletter.
As a Tech Industry expert, I believe that GPT Realtime has the potential to revolutionize the customer service industry and significantly impact call centers. The ability of GPT Realtime to understand and respond to customer queries in real-time using natural language processing and machine learning algorithms is a game-changer.
With GPT Realtime, companies can provide more efficient and personalized customer service without the need for human agents. This not only reduces costs for businesses but also eliminates long wait times and frustrations for customers.
While the end of traditional call centers may not be immediate, the rise of technologies like GPT Realtime signals a shift towards more automated and efficient customer service solutions. Companies that embrace these advancements will be able to stay ahead of the curve and deliver better experiences for their customers.
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