chatbots

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Published By: MuleSoft     Published Date: Sep 11, 2019
Artificial intelligence (AI), the internet of things (IoT), and security technologies are set to disrupt every industry in the next decade. To get there, leading organizations like McDonald’s, Uber Eats, and HSBC have built adaptable digital platforms via APIs. In the ebook, MuleSoft founder Ross Mason shares his point of view on how to build a thoughtful API strategy that will help your organization take full advantage of emerging technologies like AI, chatbots, and IoT without compromising on security. Download this ebook to learn: How to unlock AI customer insights with an API strategy. How to make APIs the bedrock of IoT development. Why zero trust is key to API security in the new API economy.
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MuleSoft
Published By: LogMeIn     Published Date: Mar 01, 2018
When you decide the time is right for your brand to join the bot revolution, you’ll know exactly which elements will help create a bot that your users will love to engage with.
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logmein, boldchat, chatbot, user experience, customer experience, customer service, consumer data, business technology
    
LogMeIn
Published By: IBM     Published Date: Aug 01, 2018
Your customers aren't the only ones who can benefit from advancing artificial intelligence (AI) support — your employees can, too. Chatbots help employees who service customers, and you can build them with mature AI components. But success requires a focus on tasks rather than job replacement as well as a cyborg-like division between human and machine tasks. This report helps infrastructure and operations (I&O) pros determine which tasks are best executed by people and which are best left to machines, with use cases describing how that looks.
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IBM
Published By: SAS     Published Date: Jul 22, 2019
Text is the largest human-generated data source. It grows every day as we post on social media, interact with chatbots and digital assistants, send emails, conduct business online, generate reports and essentially document our daily thoughts and activities using computers and mobile devices. Increasingly, organizations want to know how all of that data can be used to drive improvements. For many, unstructured text represents a massive untapped data source with great potential for producing valuable insights that could result in significant business transformations or spur incredible social innovation. This paper looks at how organizations in banking, health care and life sciences, manufacturing and government are using SAS text analytics to drive better customer experiences, reduce fraud and improve society.
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SAS
Published By: ttec     Published Date: Jul 24, 2019
The pace of automation in the contact center is accelerating as it moves from IVR and routing to artifi cial intelligence and bots. With the digitization of contact center operations, the status quo is being upended. Technological advances in robotic process automation (RPA), AI, and machine learning (ML) for both customer and employee interactions are literally changing the face of customer care. Simple, repetitive tasks don’t need a person to do them anymore. Chatbots and self-service knowledgebases put the control in customers’ hands to resolve their own issues quickly. Information from across the business can more easily be accessed, integrated, and analyzed to streamline backoffi ce and customer-facing functions. Companies are creating digital worker factories that leverage AI and ML to improve their business.
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ttec
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