How ASC Technologies leverages Azure Cognitive Services
As companies continue to develop their relationship with cloud technologies, they can also expand the technology that they leverage.
While they are free to experience the benefits of the cloud for themselves, technology providers have a key role to play in opening companies’ eyes to the improvements that artificial intelligence, for example, can bring.
To take Microsoft as an example, their Azure Cognitive services enable technology providers, like ASC Technologies, to provide customers with the service they need to make their businesses more efficient.
This is exactly what ASC Technologies has done with its Recording information solution for Microsoft teams. Taking advantage of the cloud services available to them, ASC provides a transcription and reporting solution that enables companies in regulated sectors to comply more effectively with the rules that apply to them.
As Britta Chiaia, Product Manager at ASC Technologies More specifically, ASC uses Azure Cognitive Service’s Vision, Speech and Language APIs to enable companies in the financial, legal and public sectors to work more efficiently.
“From our perspective, Azure Cognitive Services is all about extracting meaningful information from video, voice, and images,” said Chiaia. “That way it fits perfectly with our Recording Insights solution.
“Since we record video calls and voice conversations, we take advantage of cognitive services to allow users to categorize recordings, extract feelings, highlight keywords, and add notes or translate. the transcription in the required language.
“The Vision APIs will allow us to detect and identify people’s faces and decipher who is speaking when a transcript of the conversation is generated. We also extract meaningful information from the videos themselves, including the content and what is displayed.
Regulated companies have several rules such as Dodd-Frank, HIPAA or MiFID to follow in their day-to-day operations. However, in a hybrid environment, ensuring that employees comply with these regulations is a difficult task.
This is because the traditional way regulations are followed involves recording meetings and employing people to go through each recording to ensure that the meeting complies with these special regulations. Otherwise, businesses must fear high penalties and fees.
As Chiaia demonstrates, this approach is a waste and it is something that ASC Technologies solves with its Recording Insights solution.
“It’s much easier to get results from records now that we’re using Cognitive Services. If we think of keyword research for example, instead of looking for keywords in conversations, those words will already be spotted and highlighted in the conversation.
“We offer the whole package, not only the analysis of the call and the video, but also the transcripts after the meeting. Businesses set up reports where all conversations with certain phrases are highlighted, so if a certain privacy statement needs to be said on every call, businesses can quickly filter out conversations that don’t contain those phrases and focus on they. This comes with a high and quick Return on investment (ROI) – just because work structures save time with the use of AI. ”
The next step will be a solution that would allow businesses to select the regulations they need to comply with before using their solution to save more time and effort in complying with those rules.
According to Chiaia, companies will be able to select which regulations they need to adhere to and ASC Technologies, thanks to Azure Cognitive Services, will only be able to extract the record that might violate the rules they have to work on, along with the rest. records being classified or deleted depending on how the data is to be handled.
“Companies that have to comply with multiple regulations can find themselves stuck in the different rules that they have to comply with,” said Chiaia. “For example, MiFID-related calls need to be saved for a certain period of time, but if they don’t apply to this regulation, they need to be deleted as soon as possible due to GDPR.
“With this basic example, we would filter by keyword tagging and model all MiFID conversations from the customer’s recordings and transcripts. Then we would sort and store those conversations when they need to be stored and delete them when they need to be deleted.
“To sum up, this is not only an improvement in quality management but also in risk management where users have to minimize business risks”