5 AI technologies in business that are making a big impact
The development of AI and ML technologies has flourished in recent years. Moreover, they are no more experimental tech used in a limited number of businesses. Currently, even small production units or service sector companies are implementing such technologies to their benefit.
This sophisticated technology delivers value to businesses. Take, for example, the present-day robots who use multiple AI technologies like video, speech and image recognition to accomplish their task.
But what are AI technologies that are making an impact? Five such AI technologies are given below.
5 high-value AI technologies in business
AI technologies that are conversational allow apps to interact with humans naturally. Many chatbot apps are coming up and being launched because of better NLP or natural language processing. These have been integrated with other apps and technologies and are being used to carry out audio instructions without human intervention.
Image recognition software has been modified and has been developed for analysing various sentiments that can be captured and understood by AI. AI uses image, audio and video data to interpret emotion and its intensity. It can also detect text to understand the tonality of the document. But that is just the brim of sentiment analysis. The actual zenith of this technology is that it helps the organisation identify brand influencers and their traits to shortlist the correct fit for the brand promotion. Sentiment analysis can also help to identify customer trends.
Businesses are utilising image recognition for the automatic inspection of various things. For example, it can be the face recognition software for your electronic devices or identify any leakages in factory lines.
It could also be used in healthcare. Image recognition could also simplify and assist humans in various activities, especially for the police. AI can help image recognition apps to mitigate bias for precise training of the model.
Multiple AI algorithms are used for the conversion of human speech to text. The speech recognition software can also prepare the speech for digital processing. Moreover, these systems are improving leaps and bounds, and the best speech recognition systems are being incorporated into apps to enhance their safety further.
Several companies have begun using speech recognition in developing apps for recording speech for compliance and better supervision for improving decision-making processes.
Due to the growing volume of data, it is extremely complex to prioritise the correct information for the clients. This is where NLG or natural language generation helps organise or summarise the correct and the most valuable insight for a specific user. But NLG still has to go a long way.
Parting Thoughts
Even though AI technologies are making a real-world difference and growing leaps and bounds, they are still in their cruder forms. There is a lot of research going on in the field of AI to make it better and more user-friendly for businesses. So, if you are willing to learn more about these technologies in detail and their role in the growth of businesses, you can visit the blog section of E2E Networks. Also, if you plan to implement such technologies in your business, you can use the infrastructure offered by E2E Networks by paying a nominal fee.
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