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.

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Unite.AI

MARCH 6, 2025

With AI-powered insights and automation, we help insurance professionals work smarter, win more deals, and grow revenuefast. Outmarkets AI-powered platform seamlessly integrates into brokers and carriers workflows, automating insights and decision-making without disrupting existing operations.

Automation 165

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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 302

ESG Big Data Explainability AI 302

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 182

Computer Vision Actionable Intelligence Continuous Learning Algorithm 182

Unite.AI

NOVEMBER 13, 2024

By integrating AI directly into platforms like Excel and Google Sheets, LLMs enhance spreadsheets with natural language capabilities that simplify complex tasks. Users can now perform complex data analysis, automate workflows, and generate insights by simply typing a request in plain language.

Large Language Models 264

Large Language Models Data Analysis AI AI 264

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 […].

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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.

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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.

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AI Tools Automation AI AI 147

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.

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Machine Learning Large Language Models Data Quality Automation 147

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.

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AI Researcher AI Research Big Data AI 225

Unite.AI

DECEMBER 31, 2024

The discipline of pricing encompasses analyzing patterns of consumer demand, understanding competitors, personalizing and/or optimizing prices, and making pricing more dynamic via automation based on factors such as demand fluctuations and inventory levels. In terms of future developments: GenAIs versatility is truly its strength.

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AI AI Data Science Data Scientist 264

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.

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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

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 135

Data Integration Data Analysis AI AI 135

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.

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Data Integration ML ESG Big Data 98

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.

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Automation Artificial Intelligence Artificial Intelligence Generative AI 147

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

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

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

Marktechpost

APRIL 5, 2025

Real-time Voice Automation : Performs actual phone calls using AI-generated voices, enabling real-world interactions like restaurant reservations or information inquiries. Live Data Integration : Capable of conducting detailed research, compiling up-to-date information into comprehensive visual and textual reports.

Automation 82

Automation OpenAI Large Language Models AI 82

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.

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Data Quality Data Drift Explainability Big Data 130

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 124

Machine Learning AI AI Natural Language Processing 124

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

AWS Machine Learning Blog

AUGUST 7, 2024

In the face of these challenges, MLOps offers an important path to shorten your time to production while increasing confidence in the quality of deployed workloads by automating governance processes. This post illustrates how to use common architecture principles to transition from a manual monitoring process to one that is automated.

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Automation Machine Learning ML Explainability 121

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

AWS Machine Learning Blog

MARCH 18, 2025

Extraction of relevant data points for electronic health records (EHRs) and clinical trial databases. Data integration and reporting The extracted insights and recommendations are integrated into the relevant clinical trial management systems, EHRs, and reporting mechanisms.

LLM 115

LLM NLP Data Integration AI 115

Unite.AI

JANUARY 22, 2025

Saket Saurabh , CEO and Co-Founder of Nexla, is an entrepreneur with a deep passion for data and infrastructure. He is leading the development of a next-generation, automated data engineering platform designed to bring scale and velocity to those working with data.

Auto-complete 147

Auto-complete Automation Machine Learning Data Integration 147

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 278

Large Language Models Automation Artificial Intelligence Artificial Intelligence 278

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.

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Convolutional Neural Networks Neural Network Artificial Intelligence Artificial Intelligence 289

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 133

Chatbots Automation Machine Learning DevOps 133

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.

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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?

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Generative AI Big Data AI AI 314