'Each and every day our data scientists solve our customers' most pressing financial problems using #AI, #machinelearning, and more. Our diverse teams help bring diverse voices and POVs.' - Kavita Sangwan, Directory, Intuit AI, kicking-off #WiDSBlr2020 pic.twitter.com/pO0wXkoxVM— Intuit India (@IntuitIN) July 17, 2020
This package of instruments, jointly known as Intuit Support, helps small companies and the self-employed to understand whether they are entitled to financial support under the $2 trillion CARES federal aid package. Users can determine whether they qualify for a loan through the Intuit AI technology (PPP), a refundable tax credit to keep employers on their company payroll, through the Intuit AI technology Aid Assist.
Only before the traditional date of 15 April for tax filing, which has been extended until 15 July this year as a result of the coronavirus pandemic, the vendor releases an Intuit Aid Assist.
Skills engineering is an AI area which tries to emulate the approach of a domain expert to a domain problem. It represents human judgement and conduct within an AI system.
One of the things we as a product firm begin to examine is what the capacities are and how we can help our customers. When the CARES Act came out, I passed the first law and the laws and I began reading it, asking myself how this helps our small businesses. The first thing you think of government relief and the work we do on Intuit and how we can support our customers was, well, a lot of technology is available for us, such as knowledge engineering.
We began to develop ideas, including tools for calculating and ways to obtain information about the PPP for companies. Many small companies have been interviewed to see how well they understand the PPP; we have asked questions about how they can gain access to the loans. They call banks or speak to their accountants, but they have no way to figure it out.
We decided that something had to be created on their behalf and made available to all. Intuit Help was developed to create a centred site that gives everyone – small businesses and self-employed – access to information so that they can take a personalised series of steps to help them understand their specific situation, access it and how the Help Program helps them.
Knowledge technology is a way to first use data and to think about how the relation between data can be leveraged. We ask questions like: are you self-employed in Aid Assist, to provide an example? Or, you 're a small company with a lot of people?
While learning by machines consists of collecting data and generating insight, basically using the machine 's ability and profound learning to provide insights that we might or may not know, it is about using what we already know. This includes information in the CARES Act for aid assistance. It is taken and codified so that customers can experience each other personally by relating the data and by understanding what data the next set of screens will generate, what kind of information the next set of strings will generate to them to pass through the process and make them feel that the product was developed.
Ng: Okay, that's true, I believe. Intuit, as you know, is a financial services firm. There are many details in financial services, many compliance requirements behind the scenes. We have a confidence that we and our customers are the go-to for their financial needs. This level of trust, this level of detail and this level of understanding is based on the support and support they receive and comply with.
Intuit are in great need of a technology, such as knowledge technology, to have, apart from machine learning and NLP, the rules-based capabilities. I believe that the need for it depends on the domain. We need this because many things are already covered in tax forms from a fiscal point of view.
Many of these rules are already here to help guide customers by keeping your books, keeping your taxes and making your finances. Of course, there is a lot of insights which we do not necessarily know from the box, from the shape and where machine learning and the processing of natural language play their part. I believe that we can still combine machinery and know-how to begin to create an even smarter AI platform.