IBM Watson Assistant

I use IBM Watson Assistant to embed its artificial intelligence (AI) a,d virtual assistant (VA) into my software and build more applications much faster. The product makes it a seamless process to create smart FAQs for my customers and provides support for repeated questions.

We use IBM Watson Assistant for building a chat interface and creating a meaningful experience with its web chat features. IBM Watson Assistant also helped us in identifying automatically topics from pre-existing chat logs with embedded machine learning. Further IBM Watson Assistant's natural language understanding features power underlying language models and helped us to build smarter assistants as per business requirements. Also, it's out of box integration capabilities helped us to connect to any customer service platform and gave us the ability to create customized connections to the platform.

A good tool to create chatbots. Easy to use, develop and deploy. It needs very little programming knowledge to create a formal chatbot, as it has most of the things that are frequently or commonly needed. It has vast customization options available which help you in creating bots that meet your needs. It has built-in tools like conversation/translation that saves time in making the dialogs and intents. Integrations with various services and other IBM tools. Strong NLP and ML engine. AI computation is best as compared to other tools in the market. Gets linked with various other devices using the same account.

Our team doesn't need to do hard work to find small cases to resolve it. Whenever you needed it will help you to find it. Our team builds more applications by using IBM Watson Assistant effectively. I would like to say thank you IBM team please keep going with good work so that the industry and IBM will rock in the future.

IBM Watson Assistant has been a wonderful tool when it comes to using technologies to which you have to pay individually to get access. AI, and ML by using Python have been a major breakthrough for me in practicing data science in particular. There are so many other options too that can be used on the IBM Watson platform.

This is an AI-based assistant program. This gives too many functions to a customer like a chatbot. You can train the chatbot according to your needs. If you want any graphical output of your given input then you can use this. If you want to just use and check the functionalities then you can try a complimentary trial of 30 days.

In our company it is used as AI chatbot to help the organization in different aspects understanding the user queries and to collect the most relevant details . My company gets intent classification with the help to enhance things in terms of user credibility and this helps a lot.This helps our organization to build better virtual Agents for the convenience of my company customers and visualization and analysis the requirements for critical and dynamical aspects . My company performance has improved.

IBM Watson Assistant is a very organized tool that helps our team to build and deploy chatbots for our clients. IBM Watson Assistant is flexible and provides us seamless step-by-step work process. It is very easy to use and deploy, we only have to work with APIs rest of IBM Watson Assistant will take care of all things.

IBM Watson is a great AI conversational platform which is easy to have a conversation with and provides the customer a very fast and accurate response and can be used in any device whether it's a phone, desktop or a tablet as it also learns from customer to make it easy for the future to solve a case which is an amazing feature and it also has multiple integrations which consists of Salesforce as well.

Our startup named ATRIS (Auto Transcribe Intelligent and Smart) gives many features to users with the core feature being automatic transcribe of Minutes of Meetings. We give a complete report including a summary type of the meeting important keyword date and deadlines, the tone of the meetings. Apart from the meeting we also managed services for individual customers and custom supports for like doctor-patient conversations. To give our users easy accessibility to what feature they want to use we implemented IBM Watson Assistant. It not only takes users to where they need it but also helps with FAQs and other functionalities.

The AI chatbot of IBM Watson Assistant has helped my organization by understanding questions, searching for the best answers, and completing my organization’s intended action. My company gets intent classification and entity recognition to understand customers in context better and transfer them to a human agent as per my organization's preference using IBM Watson Assistant. Customer experience integrations of IBM Watson Assistant have extended and enhanced my organization's current customer service applications and resources. IBM Watson Assistant permits my organization to build better virtual agents for the convenience of my company's customers. Visualization and analysis of critical metrics and KPIs have helped my organization to understand topics to facilitate customers' expectations. My company has protected customer data through large, complex, and data-sensitive organizations with the security and scalability capabilities of IBM Watson Assistant. My company's performance has improved using IBM Watson Assistant.

I was building a tool (Cloudbot) to manage company's cloud spend. The primary use-case was to do analysis on data from multiple data sources, with recommendations, and create dashboards to be consumed by Business Group Engineering teams. To provide assistant from the tool itself, we wanted to build a chatbot. IBM Watson Assistant helped us build one which was very accurate with all its AI capabilities. We did had to add few data points around QnA but a lot of stuff, it was able to do on its own. For a lean FinOps teams like us, handling cost optimisation or cost related queries/questions from approximately 10k engineers would have been a nightmare without Watson Assistant.

Using IBM Watson Assistant we have developed our ChatBot for instant messaging. Our platform is an eCommerce platform and sells products all over the world, hence we have trained the assistant for multiple languages so users from different language preferences can interact and get the information instantly. It helps us to lower the manpower and make our instant message system awesome.

Uses a great AI system to understand customers' queries, which saves time. Easily compatible with all popular applications. IBM Watson Assistant removes the long queue wait times that can be frustrating for customers. It has a great speech-to-text option as well. The NLP (natural language processing) works like a charm. Also, the smart AI is available where you would like for it to be available.

We identified a need for standardization in the information passed on to and by the technical team, as well as the loss of useful information when an employee leaves the company; as we do not have a structured knowledge base, training new employees and finding information with operational procedures was a very hard task. With the creation of our chatbot the persona SUSAN, we not only managed to maintain a single knowledge base shared with the entire team, but also facilitated the location of manuals, training videos, and key information about our customers in a simple and accurate way, which became available 24x7. Technical staff can ask questions specifying products, error codes, doubts or ask for help to obtain the desired information. In the next step, we intend to expand this service to our customers. Currently, SUSAN can be accessed by a web publication or by mobile devices through PWA technology. Through the use of webhook, we were able to expand the existing resources in our Watson Assistant bot, implementing material sent by email or forms requested by the user. An update that we are implementing in this tool is the automatic translation of texts into other languages and delivery of SUSAN as a Telegram Bot channel. We have a draft environment that can be accessed (with a very restricted access level) at this address: https://demodoka.ddns.net/en-susan

We use IBM Watson Assistant in our business as a tool for the creation of our chatbots. We receive many different messages daily, and with this platform, we're able to communicate and help our customers easier and faster. It is a very easy-to-use tool, which allowed us to reduce the time we spent building our chatbots.

It was successfully able to bring sophisticated and simplified features for a robust chatbot building process.

Currently, our organization is using IBM QRadar which is integrated with IBM Watson Assistant in order to perform machine learning and automation. With IBM Watson Assistant, we can easily correlate events and perform root cause analysis efficiently. We are also able to perform threat hunting with the information and details provided by IBM Watson Assistant.

We were looking for a tool to automatically (for the most part) assist the clients with their problems, based on a chatbot or something like that. The tool had to be intuitive and easy to use for the customers. IBM Watson Assistant was obviously a very good candidate.

IBM Watson Assistant helps us to gather all of the required information on our employees and contractors, enabling our HR team to implement training and efficiency initiatives.

We have used IBM Watson Assistant to develop a bot that helps our users with automated responses to their questions. We also use it as part of our application integration. We have a large database that has thousands of FAQs for the users. IMB Watson Assistant is an AI-powered virtual assistant that helps to reduce time and human effort by providing automated answers to user queries. It is a highly efficient and powerful virtual assistant.

We are using this tool for more than 2 years to build our chatbot to address service desk queries which is integrated very easily.

IBM Watson is a virtual assistant which gives you answers based on your context. It is driven by AI which makes it perform better compared to last time as it keeps on learning and serves the customer accordingly. The good thing about IBM Watson Assistant is it gives you relevant options to choose from as an answer which makes it super fast and convenient.

IBM Watson is used for research and development, especially IBM cloud to extract information from text documents, images and handwriting contents. Text extraction from audio files, images as well as extract key phrases and PII from text files. Using rest API we send a request to IBM cloud and get back a response with JSON format with information we want.

I work as part of a research team where I need to try out the latest technologies available and try to build a proof of concepts around it that could be launched as a new product capability. One of the POC I was involved in required a chatbot that users could use to interact to query the information related to a specific item among millions of items available in an oil & gas plant or any other energy industry. For this purpose, I had to evaluate the use case using IBM Watson Assistant and it turned out to be really good.