Unite.AI

OCTOBER 30, 2024

While AI can excel at certain tasks — like data analysis and process automation — many organizations encounter difficulties when trying to apply these tools to their unique workflows. Lexalytics’s article greatly highlights what happens when you integrate AI just to jump on the AI hype train.

Automation 187

Automation Data Quality AI AI 187

AI News

FEBRUARY 14, 2025

Experimentation with pause moments for human oversight and intentional balance between automation and human control in critical operations such as healthcare and transport. However, such systems require robust data integration because siloed information risks undermining their reliability. The solutions?

ESG 306

ESG Big Data Explainability AI 306

Unite.AI

JANUARY 7, 2025

Key Features of Croptimus Automated Pest and Disease Detection: Identifies issues like aphids, spider mites, powdery mildew, and mosaic virus before they become critical. Data Integration and Scalability: Integrates with existing sensors and data systems to provide a unified view of crop health.

Computer Vision 179

Computer Vision Actionable Intelligence Continuous Learning AI 179

AI News

FEBRUARY 27, 2025

Real-time verification: Provides direct validation for every claim and data point. Enterprise data integration: Analyses a mix of public and private datasets to deliver actionable insights. Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

AI Researcher 222

AI Researcher AI Research Big Data AI 222

AI News

MARCH 9, 2025

Data privacy, data protection and data governance Adequate data protection frameworks and data governance mechanisms should be established or enhanced to ensure that the privacy and rights of individuals are maintained in line with legal guidelines around data integrity and personal data protection.

Big Data 235

Big Data Artificial Intelligence Artificial Intelligence AI 235

Analytics Vidhya

APRIL 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction Azure data factory (ADF) is a cloud-based ETL (Extract, Transform, Load) tool and data integration service which allows you to create a data-driven workflow. In this article, I’ll show […].

ETL 328

ETL Data Science Data Integration Automation 328

ODSC - Open Data Science

NOVEMBER 29, 2024

Artificial Intelligence (AI) stands at the forefront of transforming data governance strategies, offering innovative solutions that enhance data integrity and security. In this post, let’s understand the growing role of AI in data governance, making it more dynamic, efficient, and secure.

Data Integration 40

Data Integration Automation Machine Learning AI 40

Unite.AI

DECEMBER 26, 2024

AI retail tools have moved far beyond simple automation and data crunching. Stackline Stackline is an AI retail intelligence platform that processes data from over 30 major retailers to optimize eCommerce performance.

AI Tools 146

AI Tools Automation AI AI 146

Unite.AI

NOVEMBER 13, 2024

As multi-cloud environments become more complex, observability must adapt to handle diverse data sources and infrastructures. Over the next few years, we anticipate AI and machine learning playing a key role in advancing observability capabilities, particularly through predictive analytics and automated anomaly detection.

Machine Learning 146

Machine Learning Large Language Models Data Quality Automation 146

Marktechpost

MARCH 20, 2024

Uni-SMART integrates text and multimodal data analysis, enhancing automated information extraction and fostering a deeper understanding of scientific content, as evidenced by its superior performance compared to leading LLMs across critical data types. Don’t Forget to join our 38k+ ML SubReddit Want to get in front of 1.5

Data Integration 134

Data Integration Data Analysis AI AI 134

Unite.AI

DECEMBER 19, 2024

Initially focused on automating basic processes like logistics and maintenance, AI now drives critical functions such as surveillance, predictive analytics, and autonomous operations. Historical milestones like Project Maven demonstrated AIs ability to analyze vast surveillance data and identify threats faster than traditional methods.

AI 262

AI AI Neural Network Artificial Intelligence 262

Unite.AI

NOVEMBER 28, 2024

AI voice agents are an integral part of today's automated phone communication, enabling businesses to process thousands of concurrent calls through sophisticated speech recognition and natural language processing systems.

Natural Language Processing 130

Natural Language Processing Automation AI AI 130

ODSC - Open Data Science

APRIL 28, 2023

Be sure to check out her talk, “ Power trusted AI/ML Outcomes with Data Integrity ,” there! Due to the tsunami of data available to organizations today, artificial intelligence (AI) and machine learning (ML) are increasingly important to businesses seeking competitive advantage through digital transformation.

Data Integration 98

Data Integration ML ESG Big Data 98

Flipboard

JANUARY 28, 2025

The enterprises existing data, processes, and talent can serve as the foundation for AI agent implementation. Some points to consider: Perfect data integration is not needed before starting leaders can begin where data is strongest.

AI 141

AI AI Automation Continuous Learning 141

Unite.AI

JUNE 17, 2024

Pascal Bornet is a pioneer in Intelligent Automation (IA) and the author of the best-seller book “ Intelligent Automation.” He is regularly ranked as one of the top 10 global experts in Artificial Intelligence and Automation. It's true that the specter of job losses due to AI automation is a real fear for many.

Automation 146

Automation Artificial Intelligence Artificial Intelligence Generative AI 146

IBM Journey to AI blog

JUNE 26, 2023

From data integration and management to applying AI to its business process and planning, Yanfeng Auto has been actively co-creating with IBM technical and business experts to turn technologies to tangible business values.

Auto-classification 192

Auto-classification Automation Data Extraction AI 192

Unite.AI

FEBRUARY 20, 2025

The tool is not just about automating tasks; its purpose is to help researchers generate insights that would take human teams months or even years to formulate. By providing this level of assistance, the AI Co-Scientist accelerates the entire research process, offering new possibilities for groundbreaking discoveries.

Machine Learning 122

Machine Learning AI AI Natural Language Processing 122

IBM Journey to AI blog

JUNE 28, 2024

In addition to these capabilities, generative AI can revolutionize drive tests, optimize network resource allocation, automate fault detection, optimize truck rolls and enhance customer experience through personalized services. This aids in better data integration and utilization in the upper layers.

Generative AI 216

Generative AI Automation Large Language Models AI 216

IBM Journey to AI blog

JUNE 29, 2023

Data integration and analytics IBP relies on the integration of data from different sources and systems. This may involve consolidating data from enterprise resource planning (ERP) systems, customer relationship management (CRM) systems, supply chain management systems, and other relevant sources.

Data Integration 237

Data Integration Business Intelligence ETL Automation 237

Unite.AI

DECEMBER 27, 2024

Enhancing Dataset Quality: A Multifaceted Approach Improving dataset quality involves a combination of advanced preprocessing techniques , innovative data generation methods, and iterative refinement processes. Data validation frameworks play a crucial role in maintaining dataset integrity over time.

Data Quality 130

Data Quality Data Drift Explainability Big Data 130

IBM Journey to AI blog

JUNE 27, 2024

It is no longer sufficient to control data by restricting access to it, and we should also track the use cases for which data is accessed and applied within analytical and operational solutions. Enterprise data is often complex, diverse and scattered across various repositories, making it difficult to integrate into gen AI solutions.

Generative AI 305

Generative AI Data Ingestion Large Language Models Data Discovery 305

Unite.AI

JANUARY 15, 2025

Effective data integration is equally important. To ensure the highest degree of accuracy, we implemented rigorous validation checks, transforming raw data into actionable insights while avoiding the pitfalls of garbage in, garbage out.

Machine Learning 130

Machine Learning Natural Language Processing Algorithm NLP 130

IBM Journey to AI blog

NOVEMBER 14, 2023

Serve: Data products are discoverable and consumed as services, typically via a platform. Serve : Build cloud services for data products through automation and platform service technology so they can be operated securely at global scale. Doing so can increase the quality of data integrated into data products.

ESG 315

ESG Generative AI AI AI 315

Unite.AI

JANUARY 29, 2025

Dr. Sood is interested in Artificial Intelligence (AI), cloud security, malware automation and analysis, application security, and secure software design. This exposure naturally led me to delve deeper into cybersecurity, where I recognized the critical importance of safeguarding data and networks in an increasingly interconnected world.

AI Strategy 130

AI Strategy Automation AI AI 130

DataRobot Blog

AUGUST 27, 2019

All around the world, RPA bots are actively automating busywork. by Jen Underwood. Bots here, there, everywhere. The hot RPA market is growing at a compound annual growth rate of 65%. In 2018, Read More.

Automation 96

Automation Robotics Data Integration Artificial Intelligence 96

IBM Journey to AI blog

NOVEMBER 14, 2023

The platform can be automated through a standardized framework validated for Financial Services, leveraging the IBM Cloud Security and Compliance Center service (SCC). This means developers can build and deploy their environments and code with industry-grade regulations in mind, ensuring data security and regulatory compliance.

DevOps 290

DevOps Automation Data Integration Generative AI 290

Unite.AI

SEPTEMBER 22, 2023

Jay Mishra is the Chief Operating Officer (COO) at Astera Software , a rapidly-growing provider of enterprise-ready data solutions. Data warehousing has evolved quite a bit in the past 20-25 years. There are a lot of repetitive tasks and automation's goal is to help users in front of repetition.

Large Language Models 276

Large Language Models Automation Artificial Intelligence Artificial Intelligence 276

Unite.AI

SEPTEMBER 21, 2023

AI's real-time data analysis and decision-making capabilities expand blockchain’s authenticity, augmentation, and automation capabilities. For instance, Optimizing automation of supply chain processes by embedding AI in smart contracts. Addressing the challenges of AI ethics by ensuring the authenticity of data.

Convolutional Neural Networks 286

Convolutional Neural Networks Neural Network Artificial Intelligence Artificial Intelligence 286

NVIDIA

FEBRUARY 28, 2025

Accelerated AI-Powered Cybersecurity Modern cybersecurity relies heavily on AI for predictive analytics and automated threat mitigation. Automation at scale : Businesses can automate repetitive security tasks such as log analysis or vulnerability scanning, freeing up human resources for strategic initiatives.

Algorithm 87

Algorithm Automation AI AI 87

AI News

MAY 20, 2024

Only a third of leaders confirmed that their businesses ensure the data used to train generative AI is diverse and unbiased. Furthermore, only 36% have set ethical guidelines, and 52% have established data privacy and security policies for generative AI applications. Want to learn more about AI and big data from industry leaders?

Generative AI 317

Generative AI Big Data AI AI 317

AWS Machine Learning Blog

MAY 1, 2024

This post demonstrates how to build a chatbot using Amazon Bedrock including Agents for Amazon Bedrock and Knowledge Bases for Amazon Bedrock , within an automated solution. Solution overview In this post, we use publicly available data, encompassing both unstructured and structured formats, to showcase our entirely automated chatbot system.

Chatbots 130

Chatbots Automation Machine Learning DevOps 130

IBM Journey to AI blog

SEPTEMBER 5, 2024

Access to high-quality data can help organizations start successful products, defend against digital attacks, understand failures and pivot toward success. Emerging technologies and trends, such as machine learning (ML), artificial intelligence (AI), automation and generative AI (gen AI), all rely on good data quality.

Metadata 188

Metadata Data Quality Auto-classification DevOps 188

Pickl AI

OCTOBER 15, 2024

Summary: Selecting the right ETL platform is vital for efficient data integration. Consider your business needs, compare features, and evaluate costs to enhance data accuracy and operational efficiency. Introduction In today’s data-driven world, businesses rely heavily on ETL platforms to streamline data integration processes.

ETL 52

ETL Data Integration Automation Data Quality 52

Unite.AI

DECEMBER 6, 2024

When framed in the context of the Intelligent Economy RAG flows are enabling access to information in ways that facilitate the human experience, saving time by automating and filtering data and information output that would otherwise require significant manual effort and time to be created.

AI 130

AI AI Data Platform LLM 130

IBM Journey to AI blog

JANUARY 17, 2023

IBM Cloud Pak for Data Express solutions offer clients a simple on ramp to start realizing the business value of a modern architecture. Data governance. The data governance capability of a data fabric focuses on the collection, management and automation of an organization’s data. Data integration.

Data Science 146

Data Science Data Integration Automation Metadata 146

IBM Journey to AI blog

DECEMBER 4, 2023

Generative AI could also help maintenance, repair and overhaul (MRO) technicians by enabling them to retrieve relevant information more effectively for repairs, or by automating the creation of parts and equipment orders so repair or maintenance can start as soon as a plane lands.

Generative AI 213

Generative AI AI AI Automation 213

IBM Journey to AI blog

NOVEMBER 10, 2023

Ring 3 uses the capabilities of Ring 1 and Ring 2, including the data integration capabilities of the platform for terminology standardization and person matching. The introduction of Generative AI offers to take this solution pattern a notch further, particularly with its ability to better handle unstructured data.

Natural Language Processing 295

Natural Language Processing AI AI Data Platform 295