Olive Adds Clinc's Conversational AI to Digital Healthcare Employee


While new technologies continue to transform the healthcare industry in unprecedented ways administrative functions still burden the healthcare industry with 1 in every 3 dollars spent on administration. Olive the company that introduced healthcares first digital employee has joined forces with Clinc another trailblazer in Artificial Intelligence to free up time and resources by adding conversational AI capabilities to its existing technology. The combined offering allows Olives digital healthcare employee to bring hospitals and health systems broader applications across revenue cycle supply chain and other financial and operational departments.

How to Develop Conversational AI for Your Business


Since a few years, chatbots are here, and they will not go away any time soon. Facebook popularised the chatbot with Facebook Messenger Bots, but the first chatbot was already developed in the 1960s. The chatbot was developed to demonstrate the superficiality of communication between humans and machines, and it used very simple natural language processing. Of course, since then we have progressed a lot and, nowadays, it is possible to have lengthy conversations with a chatbot. For an overview of the history of chatbots, you can read this article.

Faster Customer Service with AI Bots and Humans Together SAP News


It's one thing to bring conversational bots and robotic process automation (RPA) into business applications. But the strongest opportunity for innovative companies is in combining these capabilities. I discovered how some market leaders have already found this exponential power during one session at the recent SAPPHIRE NOW and ASUG Annual Conference. "It's the convergence of these technologies that provide the opportunity for a better experience, as well as the ability to apply machine learning technologies to create an ever-learning enterprise, applying knowledge and skills acquired from that machine learning technology to create the Intelligent Enterprise," said Shawn Brodersen, global vice president and SAP CTO at HCL Technologies Ltd. One pharmaceutical company improved workforce engagement with intelligent RPA and conversational artificial intelligence (AI).

9 Critical Questions to Consider When Assessing a Conversational AI Solution - ReadWrite


Decision-makers should reflect on several key points when assessing a conversational artificial intelligence (AI) solution. As an example, many millennials favor connecting with brands through live chat. The millennial population could be worth up to $24 trillion by 2020, making them one of the largest expected consumer groups over the next decade. What's more, 59-percent of those consumers will leave a review about their experience – either positive or negative – with a majority of judgment based on quick responses when they reach out to brands for help or information. Although a challenge, C-suite executives and companies need not worry as conversational AI has proven to be a reliable and quick solution for appeasing millennial consumers.

AI doesn't always need to be more human


As technology advances, companies continue to push the boundaries with virtual assistants and conversational AI, striving in most cases to more closely approximate real-life person-to-person interactions. The implication is that "more human" is better. AI doesn't need to be more human to serve human needs. It's time for companies to stop obsessing over how closely their AI approximates real people and start focusing on the real strengths that this transformative technology can bring to consumers, businesses, and society. The desire to strive for more humanity within technology is understandable.

6 Key Considerations When Deploying Conversational AI


Successfully deploying conversational artificial intelligence (AI) is like no other digital business-process upgrade. In fact, it's not an IT upgrade in the conventional sense; conversational AI does nothing less than usher sophisticated robotics into the front office. The surest route to project failure would be taking this fact for granted. Where these cross-channel AI systems--designed to interact naturally and fluidly with internal users and/or customers in text or verbal conversation--are most like traditional business systems is in how short-sighted decisions can doom development and hobble future productivity. What should you keep in mind when deploying conversational AI?

Hey, Google, Alexa and Siri: You finally get what we're saying

USATODAY - Tech Top Stories

Not all voice assistants can handle the same requests. We put Siri, Alexa and Google to the test. Personal digital assistants – the voice-based interfaces that started with Apple's Siri – were supposed to enable entirely new and significantly more intuitive ways of interacting with our devices, but they ended up being so frustrating that many people gave up on them. Thankfully, we're starting to see some significant advances in phone-based digital assistants, and recent developments from both Microsoft's Build and Google's I/O (and likely from Apple's upcoming WWDC) developer conferences all highlight the important progress that has been made. These conferences, primarily intended for software developers to learn about new advances in the host company's technology platforms, also serve as a great guidepost for consumers to understand how technology is evolving.

Cisco open sources MindMeld conversational AI platform – TechCrunch


Cisco announced today that it was open-sourcing the MindMeld conversation AI platform, making it available to anyone who wants to use it under the Apache 2.0 license. MindMeld is the conversational AI company that Cisco bought in 2017. The company put the technology to use in Cisco Spark Assistant later that year to help bring voice commands to meeting hardware, which was just beginning to emerge at the time. Today, there is a concerted effort to bring voice to enterprise use cases, and Cisco is offering the means for developers to do that with the MindMeld tool set. "Today, Cisco is taking a big step towards empowering developers with more comprehensive and practical tools for building conversational applications by open-sourcing the MindMeld Conversational AI Platform," Cisco's head of machine learning Karthik Raghunathan wrote in a blog post.

What's Microsoft's vision for conversational AI? Computers that understand you - The AI Blog


Today's intelligent assistants are full of skills. They can check the weather, traffic and sports scores. They can play music, translate words and send text messages. They can even do math, tell jokes and read stories. But, when it comes to conversations that lead somewhere grander, the wheels fall off.

Build 2019: Microsoft wants to help business users build customized digital assistants


Last year at its Build developer conference, Microsoft gave quite a bit of time on Day 1 to a conceptual demo about meetings of the future. In that demo, futuristic Cortana-enabled conferencing capabilities figured heavily as did Cortana integration with Teams, Outlook and Windows. This year at Build, a more business-first Cortana plus various bot and virtual assistant services, also look to be on the agenda. Microsoft has been honing its "conversation as a service"/bot pitch since at least 2016. A quick look at this year's published Build 2019 sessions shows that Cortana isn't totally out of the picture, despite its falling far behind Alexa and Google Assistant in terms of usage and mindshare.