Automio is a cloud-based SaaS platform where professionals can automate their repeat documentation, and serve their clients online. Automio is a clever interview-bot that people can train to automate the processes used within their business. When Automio is trained to do a new skill, or carry out a new process (like the process of creating a quote or proposal document), a "Flow" is created - an automated product that can be used, bought and sold over and over again without any extra effort. A Flow includes a dynamic interview that, once answered, instantly creates a customised document. So what do these Flows look like, and how do they work? In place of written code, you teach Automio your processes by drawing visual representations of your own thought processes, business processes, story lines, scripts - ANY logical progression - without the expense of hiring a programmer. Anybody can jump in and use Automio.
SourceHOV LLC is a United States-based company, which provides business process solutions, strategic consulting and data analytics services to a range of industries including healthcare, financial services, legal, government, publishing, manufacturing, retail and other commercial companies. The Company offers a suite of electronic document distribution, remittance processing, and data file download services that can be incorporated into marketing program mailings, insurance solutions, and other Transaction Processinges. Its integrated print and mail solutions also include database management, creating mailing lists that are functional and effective, and its clients can manage all aspects of their print and fulfillment online through its portal and simplified processes.
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Thomson Reuters provides professionals with the intelligence, technology and human expertise they need to find trusted answers. We enable professionals in the financial and risk, legal, tax and accounting, intellectual property and science and media markets to make the decisions that matter most, all powered by the world's most trusted news organization.
Legal Intelligence - Westlaw Meets Data Science
We are an independent research firm in Paris that works in the intersection of computational logic, category theory, and persistent topology applied to decision practices. Our approach comprises an efficient model to generate belief structure about differing cases that have 'uncertain' information. The direction accompanies a method for realizing a complex means to address various constraints that arise in discourse analysis related to law. This implies a strong connection with natural language processing and the determining of a graphical realization, in lieu of an algorithmic method for identifying semantic change.