Unite.AI

DECEMBER 19, 2024

Artificial Intelligence (AI) has evolved from a promising concept to an essential part of modern defense, offering capabilities once confined to science fiction. Its impact is felt across operations, from real-time intelligence analysis to autonomous systems that reduce risks for human personnel. Instead, it is happening now.

AI 263

AI AI Neural Network Artificial Intelligence 263

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

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

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 207

AI Researcher AI Research Big Data AI 207

Marktechpost

AUGUST 26, 2024

In response, numerous tools have been created to identify and lessen artificial intelligence (AI) hallucinations, improving the dependability and credibility of content produced by AI. Intelligent systems use AI hallucination detection techniques as fact-checkers.

Artificial Intelligence 124

Artificial Intelligence Artificial Intelligence AI AI 124

Unite.AI

SEPTEMBER 21, 2023

The crossover between artificial intelligence (AI) and blockchain is a growing trend across various industries, such as finance, healthcare, cybersecurity, and supply chain. What is Artificial Intelligence (AI)? Artificial intelligence enables computer programs to mimic human intelligence.

Convolutional Neural Networks 289

Convolutional Neural Networks Neural Network Artificial Intelligence Artificial Intelligence 289

IBM Journey to AI blog

NOVEMBER 14, 2023

Data monetization is a business capability where an organization can create and realize value from data and artificial intelligence (AI) assets. A value exchange system built on data products can drive business growth for your organization and gain competitive advantage.

ESG 315

ESG Generative AI AI AI 315

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

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. In the context of AI, data governance also extends to model governance.

Automation 147

Automation Artificial Intelligence Artificial Intelligence Generative AI 147

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 278

Large Language Models Automation Artificial Intelligence Artificial Intelligence 278

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

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.

AI 124

AI Machine Learning AI Natural Language Processing 124

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

JANUARY 29, 2025

Dr. Sood is interested in Artificial Intelligence (AI), cloud security, malware automation and analysis, application security, and secure software design. As AI technologies emerged, I saw their immense potential for transforming cybersecurityfrom automating threat detection to predictive analytics.

AI Strategy 130

AI Strategy Automation AI AI 130

Unite.AI

AUGUST 28, 2024

Artificial intelligence (AI) integration in healthcare has begun, unlocking many use cases for healthcare providers and patients. Investing in modern data integration tools, such as Astera and Fivetran , with built-in data quality features will also help. It’s closer to reality than you think.

Data Quality 317

Data Quality Algorithm AI AI 317

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

JANUARY 15, 2024

Digital transformation trends that drive a competitive advantage Trend: Artificial intelligence and machine learning We’re entering year two of widespread adoption of generative AI tools. But organizations still need humans to decide what actions to take based on what the ML-analyzed data shows.

Machine Learning 219

Machine Learning Automation DevOps Artificial Intelligence 219

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

IBM Journey to AI blog

NOVEMBER 10, 2023

When combined with artificial intelligence (AI), an interoperable healthcare data platform has the potential to bring about one of the most transformational changes in history to US healthcare, moving from a system in which events are currently understood and measured in days, weeks, or months into a real-time inter-connected ecosystem.

AI 295

AI Natural Language Processing AI Data Platform 295

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

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

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

IBM Journey to AI blog

JANUARY 29, 2024

By using AI, automation, and hybrid cloud, among others, organizations can drive intelligent workflows, streamline supply chain management, and speed up decision-making. Companies are becoming more reliant on data analytics and automation to enable profitability and customer satisfaction. Why digital transformation?

Automation 213

Automation Artificial Intelligence Artificial Intelligence Big Data 213

Pickl AI

JANUARY 10, 2025

Summary: The article highlights how AI will impact the data backup industry. It analyses the functions of artificial intelligence and machine learning and how they can affect the data backup process. Introduction Do you want to know if AI can improve data backup strategies and influence the backup industry?

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Automation AI 52

IBM Journey to AI blog

DECEMBER 11, 2023

With the rapid advancements in cloud computing, data management and artificial intelligence (AI) , hybrid cloud plays an integral role in next-generation IT infrastructure. Kubernetes , Docker Swarm ) to automate the deployment of apps across all clouds.

DevOps 308

DevOps Automation Generative AI Big Data 308

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

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

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 305

Generative AI Big Data AI AI 305

IBM Journey to AI blog

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 225

Machine Learning Automation AI AI 225

Aiiot Talk

JANUARY 17, 2024

It optimizes processes by reducing human error and automating repetitive manual tasks like scanning data, which reveals patterns in test samples for more high-value adjustments. Computer vision is another way AI automates quality control.

Data Integration 148

Data Integration Robotics Machine Learning Computer Vision 148

IBM Journey to AI blog

JUNE 12, 2023

Despite this solution’s ability to effectively ingest data and deliver insights to HR and other IBM business units, addressing data quality and reducing manual checks of the data, which can be labor-intensive and error-prone, remained a challenge. What is data quality? If so, what caused this spike?

Data Quality 187

Data Quality Automation Data Ingestion Data Platform 187

Unite.AI

JUNE 12, 2024

“, provides a comprehensive examination of the current landscape of artificial intelligence (AI) within IT operations. Professionals are evaluating AI's impact on security , data integrity, and decision-making processes to determine if AI will be a friend or foe in achieving their organizational goals.

Data Quality 147

Data Quality Automation AI AI 147

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

Pickl AI

SEPTEMBER 26, 2024

Introduction The role of an AI strategist has emerged as a vital component in the modern business landscape, where Artificial Intelligence (AI) is increasingly integrated into organisational processes. Networking and understanding ethical implications are also critical for success in this dynamic field.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI Strategy Machine Learning 52

IBM Journey to AI blog

JANUARY 12, 2024

The integration of artificial intelligence (AI) has ushered in a new era of technological progress, offering a spectrum of benefits across industries. Furthermore, confidential computing safeguards data integrity by allowing computations to occur within secure enclaves, shielding them from potential tampering.

AI 284

AI AI Natural Language Processing Artificial Intelligence 284

Unite.AI

SEPTEMBER 24, 2024

As we are well aware by now, artificial intelligence has emerged as a game-changing force in supply chain management. The company offers a comprehensive suite of tools designed to optimize various aspects of supply chain operations, from demand forecasting and inventory management to transportation and warehouse automation.

AI Tools 162

AI Tools Natural Language Processing Machine Learning Artificial Intelligence 162

AWS Machine Learning Blog

JUNE 18, 2024

More than 170 tech teams used the latest cloud, machine learning and artificial intelligence technologies to build 33 solutions. The fundamental objective is to build a manufacturer-agnostic database, leveraging generative AI’s ability to standardize sensor outputs, synchronize data, and facilitate precise corrections.

Generative AI 133

Generative AI Data Ingestion Python LLM 133