Inbenta

JULY 3, 2020

However, WhatsApp users can now communicate with a company chatbot through the chat interface as they would talk to a real person. WhatsApp Business chatbots. WhatsApp Business offers an API (Application Programming Interface). Inbenta offers several integrations in order to deploy an Inbenta chatbot on WhatsApp Business.

Chatbots 98

Chatbots APIs Wait times CRM 98

Comm100

OCTOBER 19, 2022

Chatbots are quickly becoming a long-term solution for customer service across all industries. A good chatbot will deliver exceptional value to your customers during their buying journey. But you can only deliver that positive value by making sure your chatbot features offer the best possible customer experience.

Chatbots 96

Chatbots APIs Analytics Upselling 96

AWS Machine Learning

MAY 30, 2024

Amazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon available via an API, so one can choose from a wide range of FMs to find the model that is best suited for their use case. Data store Vitech’s product documentation is largely available in.pdf format, making it the standard format used by VitechIQ.

Chatbots 112

Chatbots Engineering APIs Technology 112

AWS Machine Learning

FEBRUARY 14, 2024

Amazon Bedrock offers a choice of high-performing foundation models from leading AI companies, including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon, via a single API. For example, you can use large language models (LLMs) for a financial forecast by providing data and market indicators as prompts.

Engineering 122

Engineering Chatbots Accountability Enterprise 122

AWS Machine Learning

MARCH 1, 2024

Self-service bots integrated with your call center can help you achieve decreased wait times, intelligent routing, decreased time to resolution through self-service functions or data collection, and improved net promoter scores (NPS). Solution overview The following diagram illustrates the solution architecture. Choose Add Client.

Chatbots 104

Chatbots APIs Self service Contact Center 104

AWS Machine Learning

AUGUST 15, 2024

You can now provide contextual information from your private data sources that can be used to create rich, contextual, conversational experiences. Solution overview QnABot on AWS is an AWS Solution that enterprises can use to enable a multi-channel, multi-language chatbot with NLU to improve end customer experiences.

Chatbots 112

Chatbots Banking APIs Enterprise 112

AWS Machine Learning

OCTOBER 14, 2024

With recent advances in large language models (LLMs), a wide array of businesses are building new chatbot applications, either to help their external customers or to support internal teams. Also, note the physical ID of the API Gateway connection, which should look something like zxpdjtklw2 , as shown in the following screenshot.

Chatbots 109

Chatbots APIs Engineering Healthcare 109

AWS Machine Learning

JANUARY 5, 2024

Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems.

Management 119

Management APIs Engineering Government 119

AWS Machine Learning

JANUARY 4, 2024

We are seeing numerous uses, including text generation, code generation, summarization, translation, chatbots, and more. One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. What percentage of customers are from each region?”

Best practices 126

Best practices Enterprise Engineering APIs 126

AWS Machine Learning

JANUARY 14, 2025

With the general availability of Amazon Bedrock Agents , you can rapidly develop generative AI applications to run multi-step tasks across a myriad of enterprise systems and data sources. This is particularly useful in healthcare, financial services, and legal sectors.

APIs 80

APIs Chatbots Enterprise Healthcare 80

Inbenta

JUNE 1, 2021

Summary: Use Cases of AI Chatbots for Internal Employees. Chatbots Streamline HR Support. Chatbots Facilitate Employee Onboarding. Chatbots Help With Day-to-Day Tasks. Chatbots Prove the Source of Truth: From Taxes to GDPR. Chatbots Empower Physical Robots. Chatbots are easy to use, setup, and deploy.

Chatbots 83

Chatbots APIs Engineering Customer Support 83

AWS Machine Learning

DECEMBER 6, 2023

Enterprises turn to Retrieval Augmented Generation (RAG) as a mainstream approach to building Q&A chatbots. These datasets are often a mix of numerical and text data, at times structured, unstructured, or semi-structured. We continue to see emerging challenges stemming from the nature of the assortment of datasets available.

Chatbots 107

Chatbots APIs Engineering CRM 107

AWS Machine Learning

JANUARY 31, 2024

By combining embeddings that capture semantics with a technique called Retrieval Augmented Generation (RAG) , you can generate more relevant answers based on retrieved context from your own data sources. Sync your knowledge base with your data source. To inquire about a license and access sample data, visit developer.imdb.com.

Chatbots 99

Chatbots Entertainment APIs Advertising 99

JivoChat

APRIL 23, 2023

Chatbots have become a success around the world, and nowadays are used by 58% of B2B companies and 42% of B2C companies. In 2022 at least 88% of users had one conversation with chatbots. There are many reasons for that, a chatbot is able to simulate human interaction and provide customer service 24h a day. What Is a Chatbot?

Chatbots 75

Chatbots B2C Self service B2B 75

TechSee

JUNE 9, 2022

In the quest to create choices for customers, organizations have deployed technologies from chatbots, mobile apps and social media to IVR and ACD. Use visual data to enhance self-service with context & customization. Visual data can also influence escalation next steps. No Vision, No AI, No Service.

Customer Experience 145

Customer Experience Self service Interactive Voice Response Technical Support 145

AWS Machine Learning

AUGUST 7, 2024

AI chatbots and virtual assistants have become increasingly popular in recent years thanks the breakthroughs of large language models (LLMs). Most common use cases for chatbot assistants focus on a few key areas, including enhancing customer experiences, boosting employee productivity and creativity, or optimizing business processes.

APIs 117

APIs Chatbots Metrics Education 117

OctopusTech

JANUARY 20, 2024

Chatbots have become incredibly useful tools in modern times, revolutionizing the way businesses engage with their customers. We will explore the introduction, capabilities, and wide range of uses of chatbots in this blog, as well as the important topic that frequently comes to mind: their development costs. What are Chatbots?

Chatbots 62

Chatbots Healthcare Finance APIs 62

AWS Machine Learning

NOVEMBER 15, 2024

Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles. Now, employees at Principal can receive role-based answers in real time through a conversational chatbot interface.

Chatbots 113

Chatbots Engineering Enterprise Government 113

AWS Machine Learning

FEBRUARY 14, 2023

For instance, faculty in an educational institution belongs to different departments, and if a professor belonging to the computer science department signs in to the application and searches with the keywords “ faculty courses ,” then documents relevant to the same department come up as the top results, based on data source availability.

Chatbots 79

Chatbots APIs Construction Education 79

AWS Machine Learning

MARCH 1, 2024

With a knowledge base, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG). Contextual-based chatbots – Conversations can rapidly change direction and cover unpredictable topics. Hybrid search can better handle such open-ended dialogs.

APIs 116

APIs Finance Chatbots Enterprise 116

Comm100

OCTOBER 24, 2023

Whether it’s via live chat , SMS , AI chatbot , or ticketing , players expect a consistent, high-quality interaction across every channel. AI and Chatbots: The New Frontier Chatbots are an essential ingredient of omnichannel communication, and it’s no secret that they’ve taken the world by storm.

Chatbots 105

Chatbots APIs Personalization Technology 105

AWS Machine Learning

NOVEMBER 22, 2023

The financial service (FinServ) industry has unique generative AI requirements related to domain-specific data, data security, regulatory controls, and industry compliance standards. Data security – Ensuring the security of inference payload data is paramount.

Engineering 102

Engineering Chatbots APIs Benchmark 102

AWS Machine Learning

AUGUST 8, 2024

Twilio enables companies to use communications and data to add intelligence and security to every step of the customer journey, from sales and marketing to growth, customer service, and many more engagement use cases in a flexible, programmatic way. Data is the foundational layer for all generative AI and ML applications.

Engineering 104

Engineering Accountability Feedback Enterprise 104

AWS Machine Learning

MAY 16, 2023

This demonstration provides an open-source foundation model chatbot for use within your application. Because the models are hosted and deployed on AWS, you can rest assured that your data, whether used for evaluating or using the model at scale, is never shared with third parties.

Chatbots 85

Chatbots Scripts APIs Feedback 85

AWS Machine Learning

OCTOBER 1, 2024

Specifically, we focus on chatbots. Chatbots are no longer a niche technology. Although AI chatbots have been around for years, recent advances of large language models (LLMs) like generative AI have enabled more natural conversations. We also provide a sample chatbot application. We discuss this later in the post.

Chatbots 73

Chatbots APIs Scripts Management 73

AWS Machine Learning

SEPTEMBER 26, 2024

This post shows how aerospace customers can use AWS generative AI and ML-based services to address this document-based knowledge use case, using a Q&A chatbot to provide expert-level guidance to technical staff based on large libraries of technical documents. Avoiding the well-known problem of hallucination.)

APIs 91

APIs Chatbots Engineering Accountability 91

AWS Machine Learning

NOVEMBER 10, 2023

LLMs are capable of a variety of tasks, such as generating creative content, answering inquiries via chatbots, generating code, and more. Organizations looking to use LLMs to power their applications are increasingly wary about data privacy to ensure trust and safety is maintained within their generative AI applications.

APIs 104

APIs Chatbots Analytics Personalization 104

Inbenta

AUGUST 30, 2021

Botium automates chatbot testing to boost the customer experience, cover all quality standards, meaning functional as well as non-functional testing. The Inbenta connector enables Inbenta users to test the following aspects of their chatbot: Regression Testing. The first step is to push the register new chatbot button in Botium Box.

Chatbots 59

Chatbots APIs Customer Experience Technology 59

AWS Machine Learning

SEPTEMBER 15, 2023

Large language model (LLM) agents are programs that extend the capabilities of standalone LLMs with 1) access to external tools (APIs, functions, webhooks, plugins, and so on), and 2) the ability to plan and execute tasks in a self-directed fashion. Note that the next action may or may not involve using a tool or API.

APIs 111

APIs Chatbots Engineering Management 111

AWS Machine Learning

OCTOBER 11, 2024

These agentic workflows decompose the natural language query-based tasks into multiple actionable steps with iterative feedback loops and self-reflection to produce the final result using tools and APIs. Solution overview In this post, we explore a sample use case for an online retail chatbot.

APIs 121

APIs Chatbots Accountability Feedback 121

AWS Machine Learning

SEPTEMBER 17, 2024

Generative artificial intelligence (AI) applications are commonly built using a technique called Retrieval Augmented Generation (RAG) that provides foundation models (FMs) access to additional data they didn’t have during training.

APIs 78

APIs Chatbots Management Accountability 78

AWS Machine Learning

OCTOBER 29, 2024

All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers. These insights are stored in a central repository, unlocking the ability for analytics teams to have a single view of interactions and use the data to formulate better sales and support strategies.

Engineering 95

Engineering APIs Sales Enterprise 95

AWS Machine Learning

APRIL 23, 2024

With Knowledge Bases for Amazon Bedrock, you can quickly build applications using Retrieval Augmented Generation (RAG) for use cases like question answering, contextual chatbots, and personalized search. StorageConfiguration – Specify information about the vector store in which the data source is stored.

APIs 114

APIs Enterprise Scripts Accountability 114

AWS Machine Learning

FEBRUARY 6, 2024

Conversational AI (or chatbots) can help triage some of these common IT problems and create a ticket for the tasks when human assistance is needed. Chatbots quickly resolve common business issues, improve employee experiences, and free up agents’ time to handle more complex problems.

Chatbots 113

Chatbots APIs Self service Banking 113

AWS Machine Learning

MARCH 14, 2024

However, adoption of these FMs involves addressing some key challenges, including quality output, data privacy, security, integration with organization data, cost, and skills to deliver. Whether creating a chatbot or summarization tool, you can shape powerful FMs to suit your needs.

Best practices 114

Best practices Engineering Chatbots Enterprise 114

Aspect

OCTOBER 3, 2018

Real-time dashboards provide up-to-the-minute actionable data that can be combined with other business data sources while historical reporting and dashboards allow organizations to analyze data and uncover trends to improve operations and service strategies. Shared Real-Time and Historical Reporting.

APIs 107

APIs Self service SaaS Enterprise 107

AWS Machine Learning

MARCH 27, 2024

The data community aims to adopt the rigorous engineering principles commonly used in software development into their own practices, which includes systematic approaches to design, development, testing, and maintenance. It’s also vital to avoid focusing on irrelevant metrics or excessively tracking data.

Enterprise 97

Enterprise APIs Metrics Engineering 97