In the last blog-post, we looked at the use of AI for language-learning / comprehension, geo-location, and e-commerce. Now let’s look at the role AI technology plays in VPAs (virtual personal assistants; a.k.a. autonomous personal assistants). Industry leader, X.ai has designed intelligent virtual assistants named “Amy” and “Andrew Ingram” that help people schedule / update meetings, figure out the best itinerary, and continually learn from every interaction. They accomplish such tasks using machine-learning and natural language processing. These AI-powered assistants integrate seamlessly with programs like Outlook, Google, Office 365, and Slack.

Meanwhile, the “smart” system designed by HyperScience is designed to cut down on the tedium of mundane tasks, like filling out forms or data-entry. Such intelligent document-processing culls and processes relevant information from forms rather than requiring that a human read through the whole form.

Sherpa.ai is a VPA that works with a user’s entire array of devices. It uses predictive AI to perform tedious tasks that used to be done by humans. How is this possible? The VPA integrates with a user’s entire web of devices, inferring and predicting their needs. Sherpa is constantly learning and analyzing more than 100,000 parameters daily to keep information updated and users organized. The key is inferring and predicting people’s needs by learning from experience and noticing patterns, thereby anticipating people’s needs before they ask. Sherpa’s system works with any accessory that might be enhanced by being “smarter”–from enterprise systems to consumer applications.

Directly is an AI-driven customer-support tool that is so effective, Microsoft became a customer. It helps people by intelligently routing their questions to chat-bots to answer their questions personally or to customer support personnel.

Next IT (now part of Verint) is one of the pioneers in customer service chat-bots. It develops conversational AI for customer engagement and workforce support on any endpoint. The company’s “Alme” platform powers natural language business products that are continually enhanced through A.I.-powered tools that empower human trainers to assess performance and end-user satisfaction. Engineers at Next are developing conversational AI that answers complex questions for businesses and enhances customer experiences. From financial and insurance needs to travel and healthcare, the intelligent products perform duties and answer questions for billing, scheduling, purchasing, and policy information; as well as for tech support.

OneModel specializes in the enhancement of corporate HR. It is a “talent analytics accelerator” that helps HR departments handle employees, career path design, recruiting, succession, exits, engagement, survey-taking / analysis, auditing / evaluation, and payroll all in one place. The company’s goal is to equip HR professionals with machine-learning resources to make their jobs easier and more effective.

A leading RPA company, Blue Prism uses AI-fueled automation to do an array of repetitive, manual software tasks, which frees human staff up to focus on more meaningful work. The company’s AI laboratory that researches automated document reading and software vision. To further boost its AI functionality, Blue Prism bought Thoughtonomy, which offers cloud-based AI.

Cloudminds provides “cloud robot” services for the finance, healthcare, manufacturing, power utilities, public sector, and enterprise mobility industries. Its cloud-based AI uses advanced algorithms, large-scale neural networks and training data to make smarter robots for image- / object- recognition, natural language-processing, and speech-recognition. It also uses its AI technology for single-task manufacturing robots.

Human-machine collaboration is key in this brave new world; as computers are meant to compliment humans, not replace them. The synergy offers tremendous opportunity for augmented capabilities in key areas of human life. Notably, Figure Eight provides AI training software to data science teams. The company’s “human-in-the-loop” platform uses human intelligence to train and test machine-learning, and has powered AI projects for major companies like Oracle, Ebay, SAP, and Adobe.

All these enterprises remind us that the possibilities of this new technology are virtually limitless. Stay tuned, as we will explore more applications of AI in the coming weeks.