Marktechpost

APRIL 5, 2025

Unlike a simple chatbot or script, GenSpark can think, plan, act, and use tools much like a human assistant. Live Data Integration : Capable of conducting detailed research, compiling up-to-date information into comprehensive visual and textual reports. It doesnt just generate text; it can take actions on your behalf.

Automation 78

Automation OpenAI Large Language Models AI 78

Marktechpost

JUNE 30, 2024

Here are seven emerging generative AI user interfaces that are making a significant impact: The Chatbot: Chatbots have revolutionized how people interact with AI. These chatbots can perform various tasks, from answering queries and providing recommendations to generating creative content and assisting with customer service.

Generative AI 113

Generative AI Chatbots Natural Language Processing Automation 113

IBM Journey to AI blog

APRIL 15, 2024

Data integration stands as a critical first step in constructing any artificial intelligence (AI) application. While various methods exist for starting this process, organizations accelerate the application development and deployment process through data virtualization. Why choose data virtualization?

Data Platform 204

Data Platform Data Mining AI AI 204

Unite.AI

AUGUST 27, 2024

But what if there was a solution that combined the smart, personalized conversational abilities of an AI chatbot with the dependable results of a search engine ? Interact with data: Analyze uploaded files and answer questions about the data, integrating seamlessly with web searches for a complete view.

ChatGPT 261

ChatGPT AI AI AI Tools 261

IBM Journey to AI blog

JANUARY 12, 2024

Automated notetaking empowers students to focus and “be present in the moment” during classes, while interactive study materials and personalized chatbots encourage students to learn and explore topics in new and exciting ways.

AI 284

AI AI Natural Language Processing Artificial Intelligence 284

IBM Journey to AI blog

JANUARY 15, 2024

It will also create smarter chatbots that can tackle simple questions, which will improve the customer experience while freeing up customer service reps to take on larger-order problems. Also, machine learning will be an incredibly powerful tool for data-driven organizations looking to take better advantage of their data analytics practices.

Machine Learning 219

Machine Learning Automation DevOps Artificial Intelligence 219

Unite.AI

SEPTEMBER 24, 2024

It packages inference engines, APIs, and a variety of AI models into optimized containers, enabling developers to deploy AI applications across various environments, such as clouds, data centers, or workstations, in minutes rather than weeks. NIM’s microservices architecture makes AI solutions more flexible and scalable.

Inference Engine 157

Inference Engine Large Language Models AI AI 157

IBM Journey to AI blog

AUGUST 23, 2023

Risks of training LLM models on sensitive data Large language models can be trained on proprietary data to fulfill specific enterprise use cases. For example, a company could take ChatGPT and create a private model that is trained on the company’s CRM sales data. and watsonx.data.

Large Language Models 167

Large Language Models Data Discovery LLM AI 167

AWS Machine Learning Blog

MARCH 10, 2025

Using advanced GenAI, CreditAI by Octus is a flagship conversational chatbot that supports natural language queries and real-time data access with source attribution, significantly reducing analysis time and streamlining research workflows. Follow Octus on LinkedIn and X.

DevOps 90

DevOps Metadata Auto-complete Automation 90

Unite.AI

OCTOBER 10, 2024

By unifying multimodal data management, the platform offers several advantages, including: 35x faster dataset creation compared to traditional data integrations, speeding up AI project timelines. 63% reduction in network transfer of large visual data , improving operational efficiency.

Metadata 144

Metadata Machine Learning Robotics Computer Vision 144

AWS Machine Learning Blog

MARCH 6, 2025

It simplifies data integration from various sources and provides tools for data indexing, engines, agents, and application integrations. It provides tools for chaining LLM operations, managing context, and integrating external data sources. LlamaIndex is a framework for building LLM applications.

LLM 100

LLM Generative AI ML Prompt Engineering 100

Marktechpost

FEBRUARY 23, 2025

Common Applications: Real-time monitoring systems Basic customer service chatbots DigitalOcean explains that while these agents may not handle complex decision-making, their speed and simplicity are well-suited for specific uses. Data Quality and Bias: The effectiveness of AI agents depends on the quality of the data they are trained on.

Natural Language Processing 54

Natural Language Processing Machine Learning AI AI 54

Unite.AI

FEBRUARY 21, 2024

All of these features are extremely helpful for modern data teams, but what makes Airflow the ideal platform is that it is an open-source project –– meaning there is a community of Airflow users and contributors who are constantly working to further develop the platform, solve problems and share best practices.

LLM 144

LLM Data Platform Software Engineer Chatbots 144

Unite.AI

OCTOBER 26, 2023

Before artificial intelligence (AI) was launched into mainstream popularity due to the accessibility of Generative AI (GenAI), data integration and staging related to Machine Learning was one of the trendier business priorities.

Generative AI 144

Generative AI Data Scientist AI AI 144

Marktechpost

MAY 12, 2024

Furthermore, Datarails’ AI chatbot FP&A Genius aids forecasting by providing solutions to any queries or scenarios you or management may have, all based on reliable and historical data. The solution takes advantage of GPT technology to provide AI-powered insights and search capabilities for financial data.

AI Tools 102

AI Tools Neural Network Artificial Intelligence Artificial Intelligence 102

AWS Machine Learning Blog

SEPTEMBER 28, 2023

Accenture has integrated this generative AI functionality into an existing FAQ bot, allowing the chatbot to provide answers to a broader array of user questions. Data source We created an Amazon Kendra index and added a data source using web crawler connectors with a root web URL and directory depth of two levels.

Generative AI 114

Generative AI Artificial Intelligence Artificial Intelligence Large Language Models 114

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. Operations center : AI technology monitors and resolves store incidents efficiently.

Machine Learning 225

Machine Learning Automation AI AI 225

Pickl AI

MARCH 7, 2025

For example, online retailers use live sales data to adjust prices instantly, while banks detect fraud in real time. Embracing Innovation: Different types of data (Variety), such as text, images, and videos, allow companies to develop innovative solutions, like AI-powered chatbots or personalised recommendations.

Big Data 52

Big Data Machine Learning Data Quality Data Science 52

NVIDIA

OCTOBER 23, 2024

To make information about the brain more accessible to STEM students and researchers, the center is developing an AI chatbot — using the Nemotron-4 Hindi NIM microservice — that can answer neuroscience-related questions in Hindi. This builds upon the center’s existing NVIDIA AI-powered knowledge-exploration framework, called Neuro Voyager.

LLM 113

LLM Generative AI Natural Language Processing Computer Vision 113

Marktechpost

AUGUST 10, 2024

Moderate-Risk AI: This category includes systems like chatbots and AI-generated content, which must clearly inform users they’re interacting with AI. Developers can choose to follow voluntary guidelines for transparency. Content like deep fakes should be labeled to show it’s artificially made.

Artificial Intelligence 132

Artificial Intelligence Artificial Intelligence AI AI 132

Marktechpost

AUGUST 26, 2024

Pythia’s superior real-time detection and monitoring capabilities are especially useful for chatbots, RAG applications, and summarisation jobs. It rigorously verifies material by using an advanced knowledge graph, dividing content into smaller chunks for in-depth examination.

Artificial Intelligence 122

Artificial Intelligence Artificial Intelligence AI AI 122

AWS Machine Learning Blog

APRIL 29, 2024

Close collaboration with AWS Trainium has also played a major role in making the Arcee platform extremely performant, not only accelerating model training but also reducing overall costs and enforcing compliance and data integrity in the secure AWS environment.

Large Language Models 117

Large Language Models NLP Machine Learning Artificial Intelligence 117

Unite.AI

JUNE 17, 2024

For instance, many banks now use AI-powered chatbots to handle customer inquiries, providing 24/7 support and freeing up human agents to focus on more complex issues. These chatbots can understand natural language, access account information, and even make personalized recommendations, greatly enhancing the customer experience.

Automation 144

Automation Artificial Intelligence Artificial Intelligence Generative AI 144

Snorkel AI

OCTOBER 18, 2023

AI can power: Chatbots that can handle certain customer interactions and learn how to provide more accurate and useful responses over time. Snorkel leverages: Programmatic labeling to quickly generate high-quality training sets from unstructured data.

BERT 64

BERT Machine Learning Explainability Large Language Models 64

Snorkel AI

OCTOBER 18, 2023

AI can power: Chatbots that can handle certain customer interactions and learn how to provide more accurate and useful responses over time. Snorkel leverages: Programmatic labeling to quickly generate high-quality training sets from unstructured data.

BERT 59

BERT Machine Learning Explainability Large Language Models 59

Topbots

OCTOBER 4, 2023

Illustration of how diffusion models are built by first adding noise to the dataset images and then training the model to extrapolate the missing information Both LLMs and diffusion models can achieve outstanding performance when trained on sufficiently large amounts of unlabeled data.

Generative AI 119

Generative AI Natural Language Processing Machine Learning Convolutional Neural Networks 119

Snorkel AI

OCTOBER 18, 2023

AI can power: Chatbots that can handle certain customer interactions and learn how to provide more accurate and useful responses over time. Snorkel leverages: Programmatic labeling to quickly generate high-quality training sets from unstructured data.

BERT 52

BERT Explainability Large Language Models AI 52

AWS Machine Learning Blog

AUGUST 7, 2024

Suppose a tax agency is interacting with its users through a chatbot. The Amazon S3 PUT action invokes an AWS Lambda This Lambda function copies all the artifacts from the S3 bucket in the development account to another S3 bucket in the AI/ML governance account, providing restricted access and data integrity.

Automation 111

Automation Machine Learning ML Explainability 111

TransOrg Analytics

JUNE 17, 2024

AI-driven chatbots and virtual assistants can handle routine queries, such as policy details, claims status, and premium payments, freeing customer service representatives to focus on more complex tasks. This includes encryption, access controls, and compliance monitoring tools to safeguard data integrity and privacy.

Generative AI 52

Generative AI Large Language Models Machine Learning AI 52

Heartbeat

MARCH 19, 2024

LLM use cases range from chatbots and virtual assistants to content generation and translation services. Chatbots: Your customer support team can leverage the power of LLMs to supercharge chatbots and virtual assistants. As the need for more powerful language models grows, so does the need for effective scaling techniques.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Natural Language Processing 52

Pragnakalp

JUNE 8, 2023

Fabric’s core offered services such as Data Factory, Synapse Data Engineering, Synapse Data Science, Synapse Data Warehousing, Synapse Real-Time Analytics, and Power BI. This way you can use Fabric Notebook for your data science experiments.

Data Science 52

Data Science Machine Learning Business Intelligence NLP 52

AWS Machine Learning Blog

SEPTEMBER 30, 2024

Common generative AI use cases, including but not limited to chatbots, virtual assistants, conversational search, and agent assistants, use FMs to provide responses. As an Information Technology Leader, Jay specializes in artificial intelligence, generative AI, data integration, business intelligence, and user interface domains.

Generative AI 81

Generative AI Machine Learning ML Artificial Intelligence 81

Pickl AI

OCTOBER 3, 2024

The core functionalities of no-code AI platforms include: Data Integration : Users can easily connect to various data sources without needing to understand the underlying code. Companies can implement AI-powered chatbots to handle customer inquiries, reducing the workload on human agents and improving response times.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Automation AI Tools 52

Pickl AI

SEPTEMBER 26, 2024

Customer Experience Implementing AI-driven solutions like chatbots or personalised recommendations enhances customer engagement and satisfaction levels. Quality of Data Poor-quality data can lead to unreliable AI outputs, affecting decision-making and operational efficiency.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI Strategy Machine Learning 52

Unite.AI

FEBRUARY 28, 2025

Built on a supercomputer called “Colossus” with 200,000 NVIDIA H100 GPUs, Grok 3 isn't just another chatbot. It's an advanced AI system capable of tackling intricate problems, analyzing vast amounts of data, and accessing real-time information from the web through its DeepSearch feature. Think again!

Natural Language Processing 185

Natural Language Processing AI AI ChatGPT 185

Heartbeat

MAY 29, 2023

It helps in standardizing the text data, reducing its dimensionality, and extracting meaningful features for machine learning models. This can include user manuals, FAQs, and chatbots for real-time assistance. However, their increasing capabilities have also raised ethical concerns regarding their potential impact on society.

Large Language Models 78

Large Language Models Machine Learning LLM Natural Language Processing 78

Aiiot Talk

JANUARY 3, 2024

Benefits include data integrity and governance, and it will be some time before quality consistency arrives across AI models to make these advantages not exclusive to open-source AI. However, businesses might not want to consider accessibility with enterprise data on the line.

Artificial Intelligence 148

Artificial Intelligence Artificial Intelligence Large Language Models AI 148