IBM Journey to AI blog

SEPTEMBER 25, 2024

Generative AI (gen AI) has transformed industries with applications such as document-based Q&A with reasoning, customer service chatbots and summarization tasks.

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IBM Journey to AI blog

APRIL 24, 2024

For example, an attacker could cause a data breach by tricking a customer service chatbot into divulging confidential information from user accounts. It is harder to apply to open-ended chatbots and the like. For example: “You are a friendly chatbot who makes positive tweets about remote work. The remoteli.io

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IBM Journey to AI blog

AUGUST 2, 2023

That was, until the introduction of AI chatbots for business emerged on the IT landscape. This omnichannel chatbot solution delivers real-time, consistent, and accurate customer support on a 24/7 basis. Watson Assistant seamlessly connects to customer data platforms, enabling data-backed understandings of customer expectations.

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AWS Machine Learning Blog

AUGUST 15, 2024

In this post, we discuss how to use QnABot on AWS to deploy a fully functional chatbot integrated with other AWS services, and delight your customers with human agent like conversational experiences. Users of the chatbot interact with Amazon Lex through the web client UI, Amazon Alexa , or Amazon Connect.

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IBM Journey to AI blog

SEPTEMBER 6, 2023

But it was made considerably easier this year by IBM’s new AI and data platform, watsonx. The AI Commentary solution is not unlike the work our clients are doing to improve customer service experiences, with AI chatbots that understand a specific domain and can guide a positive interaction.

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IBM Journey to AI blog

SEPTEMBER 27, 2023

Content summarization An open source LLM tool that summarizes long articles, news stories, research reports and more can make it easy to extract key data. AI-driven chatbots These can understand and answer questions, offer suggestions and engage in natural language conversation.

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IBM Journey to AI blog

AUGUST 13, 2024

While the growing popularity of consumer AI chatbots have led many companies to recently enter the artificial intelligence (AI) space, IBM’s journey with AI has been decades in the making.

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Snorkel AI

JANUARY 8, 2025

In todays fast-paced AI landscape, seamless integration between data platforms and AI development tools is critical. At Snorkel, weve partnered with Databricks to create a powerful synergy between their data lakehouse and our Snorkel Flow AI data development platform.

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IBM Journey to AI blog

APRIL 15, 2024

By combining real-time and historical data from diverse sources, data virtualization creates a comprehensive and unified view of an organization’s entire operational data ecosystem. This holistic view empowers businesses to make data-driven decisions, optimize processes and gain a competitive edge.

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IBM Journey to AI blog

DECEMBER 5, 2023

This unstructured data forms the backbone for creating models and the ongoing training of generative AI, so it can stay effective over time. Leveraging this unstructured data can extend to various aspects of retail operations, including enhancing customer service through chatbots and facilitating more effective email routing.

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IBM Journey to AI blog

DECEMBER 7, 2023

Conversational AI bots Traditional chatbots , while helpful, are somewhat limited by the static scripts on which they are programmed. IBM offers end-to-end consulting capabilities in experience design and service, data and AI transformation.

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IBM Journey to AI blog

DECEMBER 15, 2023

For example, organizations are now infusing their chatbots (or bots) with generative AI to increase the success rate of interactions. For example, a simple chatbot can often handle straightforward returns of a defective product.

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Marktechpost

JANUARY 30, 2025

EICopilot is an LLM-based chatbot that utilizes a novel data preprocessing pipeline that optimizes database queries. They obtained data from Baidus internal data platform and processed it rigorously to construct a dataset involving a query and graph database query pair.

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IBM Journey to AI blog

DECEMBER 4, 2023

Myth 1: My company lacks the right tools and platforms to develop trustworthy AI AI can be a game-changer for businesses looking to improve operations in areas such as IT, HR, marketing and customer service. The companies innovating with generative AI aren’t just industry giants.

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IBM Journey to AI blog

JULY 30, 2024

Start by identifying all potential data sources across your organization, including structured databases. From data preparation with watsonx.data to model development with watsonx.ai Assess each source for its relevance to your specific gen AI goals.

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Unite.AI

SEPTEMBER 10, 2024

Index is not limited to a single form of data like many LLM tools today. Human cognition is multimodal, and we believe multimodal AI will be at the heart of the next wave of AI advancements, which will supplant chatbots and LLMs.

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IBM Journey to AI blog

JULY 12, 2023

By training their models with company-specific HR data, HR professionals can use AI to help with tasks like creating job postings, summarizing groups of incoming resumes and helping professionals better understand new policy documents. Application modernization Engineers can use AI to generate and build upon starter code and playbooks.

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IBM Journey to AI blog

DECEMBER 5, 2023

Now, customers have a variety of channels to receive and send communications, such as text-based social media, online videos, chat rooms, help forums and chatbots. Organizations can improve the time-to-response by deploying chatbots to understand a customer’s general requests.

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IBM Journey to AI blog

DECEMBER 20, 2023

Many retailers’ e-commerce platforms—including those of IBM, Amazon, Google, Meta and Netflix—rely on artificial neural networks (ANNs) to deliver personalized recommendations. With IBM® watsonx.ai ™ AI studio, developers can manage ML algorithms and processes with ease.

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IBM Journey to AI blog

JANUARY 10, 2024

Applications of AI include diagnosing diseases, personalizing social media feeds, executing sophisticated data analyses for weather modeling and powering the chatbots that handle our customer support requests. But with the IBM watsonx™ AI and data platform , organizations have a powerful tool in their toolbox for scaling AI.

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IBM Journey to AI blog

AUGUST 31, 2023

IBM watsonx Assistant connects to watsonx, IBM’s enterprise-ready AI and data platform for training, deploying and managing foundation models, to enable business users to automate accurate, conversational question-answering with customized watsonx large language models.

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Unite.AI

FEBRUARY 21, 2024

Airflow provides the workflow management capabilities that are integral to modern cloud-native data platforms. Data platform architects leverage Airflow to automate the movement and processing of data through and across diverse systems, managing complex data flows and providing flexible scheduling, monitoring, and alerting.

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IBM Journey to AI blog

JULY 17, 2023

Build assistance: Employees who create chatbots and other customer service tools can use generative AI for content creation and build assistance to support service requests, getting generated responses and suggestions based on existing company and customer data. Watsonx.ai

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NVIDIA

JULY 23, 2024

For example, NeMo Retriever can boost model accuracy and throughput for developers creating AI agents and customer service chatbots, analyzing security vulnerabilities or extracting insights from complex supply chain information. and NeMo Retriever embedding and reranking NIM microservices for a customer service AI chatbot application.

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IBM Journey to AI blog

OCTOBER 20, 2023

One bank found that its chatbots, which were managed by IBM Watson , successfully answered 55 percent of all customer questions, requests, and messages—which allowed for the other 45 percent to be referred to human bankers more quickly.

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IBM Journey to AI blog

JULY 3, 2024

Your data strategy should incorporate databases designed with open and integrated components, allowing for seamless unification and access to data for advanced analytics and AI applications within a data platform. Trusted, governed data is essential for ensuring the accuracy, relevance and precision of AI.

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Snorkel AI

JANUARY 8, 2025

In todays fast-paced AI landscape, seamless integration between data platforms and AI development tools is critical. At Snorkel, weve partnered with Databricks to create a powerful synergy between their data lakehouse and our Snorkel Flow AI data development platform.

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ODSC - Open Data Science

FEBRUARY 22, 2024

Industry, Opinion, Career Advice What Dagster Believes About Data Platforms The beliefs that organizations adopt about the way their data platforms should function influence their outcomes. Enables Data Science Teams to Influence Mission-Critical Decisions Here, the author shares her thoughts on how Dash Enterprise 5.2

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TheSequence

SEPTEMBER 29, 2024

There were plenty of other AI announcements at *Connect 2024*: Meta introduced voice capabilities to its Meta AI chatbot, allowing users to have realistic conversations with the chatbot. million to improve the data quality problem for building models. Enterprise AI startup Ensemble raised $3.3

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The MLOps Blog

MARCH 12, 2024

Tools range from data platforms to vector databases, embedding providers, fine-tuning platforms, prompt engineering, evaluation tools, orchestration frameworks, observability platforms, and LLM API gateways. Example: Prompt engineering for a chatbot Let’s imagine we’re developing a chatbot for customer service.

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AWS Machine Learning Blog

MARCH 5, 2025

Putting the risk table from Learn how to assess the risk of AI systems into action, the severity and likelihood of risks for a ground truth dataset validating a production chatbot with frequent customer use would be greater than an internal evaluation dataset used by developers to advance a prototype.

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Pickl AI

OCTOBER 25, 2023

This has paved the way for chatbots, virtual assistants, and sentiment analysis tools. The quality of input data greatly influences the effectiveness of AI models. Data Analysis Big Data analytics provides AI with the fuel it needs to function. This personalization increases sales and customer satisfaction.

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John Snow Labs

AUGUST 7, 2024

Medical Chatbots Medical chatbots powered by Gen AI are revolutionizing engagement and support. These chatbots use natural language processing to assess symptoms suggest steps and even notify healthcare providers in cases.

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John Snow Labs

FEBRUARY 29, 2024

Medical Chatbots Medical chatbots powered by Gen AI are revolutionizing engagement and support. These chatbots use natural language processing to assess symptoms suggest steps and even notify healthcare providers in cases.

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Snorkel AI

JULY 19, 2023

We decided on a schema appropriate for the general purpose chatbot that RedPajama is intended to be, with the following six categories: Open-qa : question-answering without context, e.g., “When was Google founded?”

Categorization 52

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Snorkel AI

JULY 19, 2023

We decided on a schema appropriate for the general purpose chatbot that RedPajama is intended to be, with the following six categories: Open-qa : question-answering without context, e.g., “When was Google founded?”

Categorization 52

Categorization ChatGPT Large Language Models Generative AI 52

Snorkel AI

JULY 19, 2023

We decided on a schema appropriate for the general purpose chatbot that RedPajama is intended to be, with the following six categories: Open-qa : question-answering without context, e.g., “When was Google founded?”

Categorization 52

Categorization ChatGPT Large Language Models Generative AI 52