Artificial intelligence provide businesses with novel solutions for a wide variety of problems. AI-powered answers and insights platforms like Attivio help companies draw more relevant and more intelligent insights from their mountains of data by enhancing experiences like enterprise search, customer support, and IT service management (ITSM). Attivio employs natural language processing (NLP) to help users and companies get the most out of these experiences and to make them as user-friendly as possible.
Using machine learning in customer support equates to taking your most experienced rep – someone with years of experience responding to customer questions – and making her/him exponentially faster. Taken a step further, machine learning allows you to replicate their expertise and newfound proficiency amongst all of your reps.
In this day and age, there are very few questions without answers. They may not always be right answers but even the most well thought out Google query can lead you down a rabbit hole of theories, thoughts, and best guesses that help you craft answers to even the hardest questions like, “What is the meaning of life?”. The power of modern search engines has made the spread of information more equitable and trained us that any question can be answered via search.
But in reality, not all information is created equal, especially in the business world where proprietary knowledge and the free-flow of team- and company-specific information is essential. You can’t just Google, “How many of our orders shipped late last quarter?”
We’ve been hearing about Artificial Intelligence for years now – enough so that even the most casual AI watcher has a high-level understanding of what AI is: the art and science of getting computers to act and respond just like humans do. Casual AI watchers are also likely to recognize that AI is getting smarter - less artificial and more intelligent - by the day. In part, that’s thanks to machine learning, an AI technique that helps AI become more intelligent by learning over time, on its own, without having to be programmed. It does so by observing real-world interactions between humans and computers, and analyzing the data and information associated with these interactions.
Last week we looked at three reasons why call deflection is vital for your customer support efforts. While it may not always be correct to think of your employees as customers, when it comes to internal support and ITSM, it’s reasonable to draw a parallel between your customer support organization and your internal support system. The “consumerization of IT” as it’s often referred to, is a logical endpoint for ITSM considering the technology-driven consumer market that an organization’s employees are all a part of in their personal lives.
KMWorld 2018 in Washington, DC concluded last week. Since the event combines attendees registered for the Enterprise Search & Discovery, Taxonomy Boot Camp, Text Analytics Forum, and Office 365 Symposium sub-conferences, co-located exhibitors hear an interesting mix of challenges and views related to knowledge management. Not surprising, some attendees are tasked with finding solutions to very narrow problems such as creating a labeling taxonomy to a set of documents or how to configure Sharepoint to improve search results. As an enterprise search provider in the age of AI, it’s not easy to withhold the bigger idea that, “Heh, you can get a lot more with AI-POWERED SEARCH”.
Last week, my colleague Joe and I, along with 170,000 other customers, prospects, partners, and fans, descended upon San Francisco for Dreamforce.
Salesforce’s annual user conference, Dreamforce, gives participants insight into upcoming features, practical application of existing capabilities, and best practices across five days and more than 3,000 sessions. You can see some of the activity and performances (including Metallica and Janet Jackson) that were part of this massive event.
There’s a tremendous amount of buzz these days around Artificial Intelligence, and the concepts and techniques associated with it. These concepts and techniques involve sophisticated technology, and their explanations are often confusing to a non-technical audience. But we'd like to help you better understand what an AI search engine is.
Key Terms Related to an AI Search Engine
To make the explanations more accessible to the layperson, we’ve created a list of definitions for a number of key AI terms related to an AI search engine.
What is artificial intelligence (AI)? The concept of AI has been around for so long that most of us have a good high-level understanding of just what artificial intelligence is: it’s the technology that makes it possible for computers to act and react like humans. And most of us also understand that AI is becoming more and more intelligent, and seemingly less and less artificial. Yesterday, it was Amazon suggesting books we might like. Today it’s Alexa answering our trivia questions and turning the thermostat down. Tomorrow it will be driverless Ubers finding the quickest way to get us to wherever we need to go.