Intelligent automation platform Blue Prism and analytics automation company Alteryx have announced their premier Blue Prism Technology Alliance Partnership (TAP). Using these technologies jointly will enable customers to automate data driven processes at scale, giving them critical data and insights needed to make smarter decisions, faster. The companies also introduced a bi-directional integration between platforms. Blue Prism developers can include an Alteryx analytic process within their RPA driven processes via the Alteryx Visual Business Object (VBO) for Blue Prism Process Studio, adding robust analytic and machine learning intelligence to their digital workers’ actions. The Alteryx VBO for Blue Prism Process Studio is available on the Blue Prism Digital Exchange. In addition, the Blue Prism Connector for Alteryx Designer empowers data analysts and data scientists to trigger digital workers within their Alteryx analytic workflows, enabling retrieval of data and delivery of outcomes to systems across the enterprise.
Wings Financial Credit Union has deployed Nuance’s Intelligent Engagement platform and Gatekeeper voice biometrics solution to provide their members with superior personalized, secure experiences. With Nuance AI, Wings Financial strengthens its ability to deliver exceptional service across all channels and adds advanced protection against fraud threats. Additionally, with Nuance Gatekeeper, Wings Financial can easily and automatically authenticate members across all channels. The private and secure AI-enabled biometrics platform verifies a member in seconds using more than a thousand physical and behavioral factors unique to each person. As a result, member accounts are better protected, and their requests conveniently and securely addressed. This approach has proven to be far more secure than traditional passwords or answers to knowledge-based questions which can sometimes be known by others. Nuance’s Intelligent Engagement platform provides Wings Financial members with:
- Virtual assistant engagement available 24 hours a day to get answers and information and, during contact center hours, members can connect with a live agent when needed
- Seamless transitions across communications channels – ensuring the member receives the help they want and need – for example, when a member moves from a virtual agent to a live chat to a phone conversation
- Full-context information for service representatives – where the AI eliminates the need for members to repeat information from prior engagements by providing the member service representatives with the information required to effectively and efficiently resolve issues
Bookkeeper360 launches new Bookkeeper360 App Marketplace and Brex Integration. The Bookkeeper360 app analyzes billions of dollars of transactions annually to assist in predicting cash flow trends and making cost-effective recommendations for small business clients. The new Brex integration will advise a client of eligibility for a Brex card and even allows users to begin the application process from within the Bookkeeper360 App with one click. In addition to Brex, initial launch marketplace partners include Bill.com, Gusto, Xero, ADP, A2X, and more. In addition to Brex, Bookkeeper360 already integrates with Xero, Quickbooks Online, and Gusto Payroll with more integrations and services on the roadmap. By partnering with powerful financial tools, the Bookkeeper360 app provides performance and cash flow dashboards with real-time metrics such as; cash burn, runway, and scorecards to track revenue and net income goals. App users also receive on-demand access to an entire team of bookkeepers, CPAs, and experienced advisors who can assist with all aspects of bookkeeping, back office, payroll, and business advisory.
Moveworks, the AI platform that automates support at work, released new product enhancements to help employees navigate large and complex enterprise environments. Moveworks also announced deep integrations with Simpplr, Cherwell, Freshservice, and SharePoint on-premises; it can search these knowledge bases for the snippet-sized answers to employees’ questions.
- Adaptive Response – Enterprises need the flexibility to serve different combinations of resources to different employees at different moments in time — a challenge too complex for conventional chatbots that script out responses in advance. Moveworks’ conversational AI system, Dynamic Flow™, generates responses on the fly, considering a wealth of context to deliver personalized and up-to-date resources. Adaptive Response further improves Dynamic Flow by offering a ranked spectrum of relevant solutions when useful, such as in the example above, so employees can select their own path to resolution. In these cases, more than 15 percent of requests are resolved by a resource other than the top-ranked option, resulting in even more precise support.
- Integrations – From IT to HR to Finance, when documents are scattered across many different tools, employees struggle to find the answers to their questions. Moveworks eliminates this trade-off: the platform automatically ingests articles from every department’s knowledge base — without any manual configuration — and then answers employees’ questions from a single interface on Microsoft Teams or Slack.
- Permissions – To ensure that only authorized employees see sensitive content, Moveworks can now restrict access to forms and knowledge articles based on location, department, seniority, and other factors. The platform is able to ingest existing access control rules within ServiceNow. This allows Moveworks to surface different forms and articles to users who submit identical requests, according to their unique permissions.
- Live Agent Handoff – For complex issues that require human intervention, Moveworks has streamlined the handoff to a live service desk agent, via a deep integration with Vayusphere. For employees, this experience means there’s just one place to go for help, regardless of their request.
AI research lab OpenAI has released Triton, a specialized programming language that it says will enable developers to create high-speed machine learning algorithms more easily. OpenAI has released a significantly upgraded edition dubbed Triton 1.0 with optimizations that lend themselves to enterprise machine learning projects. The issue OpenAI is tackling with Triton is that the CUDA framework is considered quite challenging to use. In particular, the main challenge is maximizing an AI model’s performance so that it will process data as fast as possible. For developer teams using CUDA, maximizing AI performance requires making complicated and fine-grained optimizations to their code that are considered difficult to implement even with years of experience. According to the lab, the language performs many AI code optimizations automatically to save time for developers. OpenAI is promising two main benefits for software teams. The first is that Triton can speed up AI projects, since developers have to spend up less time optimizing their code. The other, according to OpenAI, is that Triton’s relative simplicity can enable software teams without extensive CUDA programming experience to create more efficient algorithms than they otherwise could.
Digital conversation platform DealerAI has introduced its comprehensive, proactive AI chat solution for the automotive industry that caters to dealerships and consumers. DealerAI presents a sophisticated, proactive chat support service including prompt customers assistance on incentive promotions, vehicle inventory and other frequently asked questions. The 100% transparency of chats also allows dealerships better to understand potential car buyers before their scheduled appointments. The DealerAI omnichannel capability enables businesses to integrate the chat from the web to SMS, Facebook Messenger, and Google Assistant. As a result, they meet customers where they are and present consistent communications to enhance customer retention further. DealerAI chatbot operates 24/7, and in multiple languages, maximizing customer experience as a customer traverses for car dealerships digitally. Improved customer experience empowers buyers to freely explore vehicles knowledge through the DealerAI chatbot, resulting in enormous data volume for the car dealership. This kind of data is effective in market research.
Google appears to be testing a new feature that allows users to add themselves and their parties to waitlists at restaurants that would normally require a phone call. Powered by Duplex, Google’s AI-driven natural language processing technology that can converse with business owners over the phone, the waitlist capability could benefit hospitality organizations facing surges in traffic as pandemic fears abate. Appearing as a “Request to Join Waitlist” button under listings in Maps and Search, it asks a user to specify their party size and maximum wait time (e.g., over 30 minutes, under 30 minutes) “in case the restaurant has a waitlist.” Pulling info saved to the user’s Google Account, including their name and phone number, Google Assistant (i.e., Duplex) attempts to call the restaurant to add their party to the waitlist. Google Assistant provides text updates as it places the call, indicating whether it’s been successful or not.