There was never any doubt that Artificial Intelligence would have a large role to play in the real world, away from experiments and controlled studies. Till date AI has been seen proving itself in machine-learning solutions, such as understanding language or driving a vehicle.
But just how far AI would get businesses excited was something that no one could predict. We’re in the middle of 2018 now and there are several practical use cases of AI in the digital business space. Let’s look at how AI is dynamically performing beyond what anyone expected.
#1 Digital assistants in the enterprise
Chatbots and virtual assistants liaising between us and our phones and home devices is quite the norm now. So the question arises, can we use the same technology in the workplace setting? Can AI help in business tasks, such as purchasing contracts and collaborating with colleagues?
The idea behind SAP CoPilot is to reduce a worker’s dependence on multiple apps during the course of a working day. This AI application uses artificial intelligence, speech recognition, natural language processing, statistical analysis and machine learning to get the job done faster. Users can make requests and issue commands, and SAP CoPilot will then collate this unstructured speech, analyze it, execute relevant actions and finally present users with answers.
#2 Call and meeting transcriptions
Ever listened to a recorded call or meeting and wished there was a way you could hunt out a specific talking point without having to listen to the entire recording? Well, it seems now you can, thanks to AISense.
Its Ambient Voice Intelligence can offer users the option of making voice conversations searchable. The application can also work with a call-recording smartphone app and, using artificial intelligence, transcribe and curate recorded calls for the future. The technology includes automatic speech recognition, speaker identification and separation, speech-and-text sync, deep content search and natural language processing. You can soon say goodbye to the days of taking notes while also trying to focus on what’s being said.
#3 AI for software training
WalkMe digital adoption platform uses artificial intelligence to help business software learn about user’s individual preferences. The applications are vast; WalkMe can be used in the hospital sector where doctors and nurses can be taught how to use a system through guidance and training. In the sales department, the application can provide individual assistance on how to effectively create a sales opportunity using the CRM system.
#4 Learning slack conversations
AI can work wonders on a collaboration platform, by learning through listening and interaction, and recording conversations for future recall. Niles ‘learns’ answers to commonly-asked questions, like ‘what products do we manufacture?’, ‘what sizes do they come in?’, ‘how much do they cost’, etc. by listening to answers as they are shared.
Users can then ask Niles questions and the application can respond with an answer that’s been ‘heard’ and recorded. In case Niles does not have the answer, users have the option of proving it with the right response, ensuring Niles is always up-to-date.
#5 AI and social media
Imagine a world where AI can take social media content decisions on behalf of you. By using data-driven processes, AI and customised algorithms can actually create and post more effective content all by themselves, without any human intervention.
Conclusion:
AI is most certainly a positive addition to the workplace, with the future of automation in businesses looking optimistic. How do you see your business taking advantage of these new capabilities?
