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 147

Automation Artificial Intelligence Artificial Intelligence Generative AI 147

Pickl AI

JUNE 28, 2023

Here comes the role of Data Mining. Read this blog to know more about Data Integration in Data Mining, The process encompasses various techniques that help filter useful data from the resource. Moreover, data integration plays a crucial role in data mining.

Data Mining 52

Data Mining Data Integration ETL Data Quality 52

Pickl AI

JUNE 7, 2024

Summary: Choosing the right ETL tool is crucial for seamless data integration. Top contenders like Apache Airflow and AWS Glue offer unique features, empowering businesses with efficient workflows, high data quality, and informed decision-making capabilities. Choosing the right ETL tool is crucial for smooth data management.

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ETL Data Integration Data Quality Metadata 40

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 235

Auto-classification Automation Data Extraction AI 235

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 234

Generative AI Automation Large Language Models AI 234

Mlearning.ai

JUNE 26, 2023

Introduction Deepchecks is a groundbreaking open-source Python package that aims to simplify and enhance the process of implementing automated testing for machine learning (ML) models. With Deepchecks, developers can start incorporating automated testing early in their workflow and gradually build up their test suites as they go.

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ML Automation Machine Learning Data Drift 52

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 317

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.

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Metadata Data Quality Auto-classification DevOps 189

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 126

Chatbots Automation Machine Learning DevOps 126

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 189

Automation AI AI Data Quality 189

Unite.AI

OCTOBER 30, 2024

We started from a blank slate and built the first native large language model (LLM) customer experience intelligence and service automation platform. ” Another could be the automated scoring of quality scorecards to evaluate agent performance. Level AI is a customer experience intelligence and service automation platform.

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Automation AI AI Generative AI 264

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.

Business Intelligence 246

Business Intelligence Data Integration ETL Automation 246

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 147

Machine Learning Large Language Models Automation Data Quality 147

AI News

OCTOBER 17, 2024

Data integrity and security emerged as the biggest deterrents to implementing new AI solutions. Executives also reported encountering various AI performance issues, including: Data quality issues (e.g., Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

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Big Data AI AI Data Quality 244

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

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 Integration 147

Data Integration Data Science Automation Metadata 147

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 321

Generative AI Data Ingestion Large Language Models AI 321

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.

Robotics 147

Robotics Data Integration AI AI 147

Pickl AI

OCTOBER 17, 2024

Moreover, ETL ensures that the data is transformed into a consistent format during the transformation phase. This step is vital for maintaining data integrity and quality. Organisations can derive meaningful insights that drive business strategies by cleaning and enriching the data.

ETL 52

ETL Data Quality Data Integration Automation 52

Marktechpost

APRIL 24, 2024

Automation in modern industries often involves repetitive tasks, but the challenge arises when tasks require flexibility and spontaneous decision-making. Traditional robotic process automation (RPA) systems are designed for static, routine activities, falling short when unpredictability is introduced. Researchers at J.P.

Machine Learning 139

Machine Learning AI Research AI Researcher Large Language Models 139

NVIDIA

OCTOBER 23, 2024

Manufacturers and service providers in India are adopting NVIDIA Omniverse to tap into simulation, digital twins and generative AI to accelerate their factory planning and drive automation for more efficient operations. 25, from major industrial names like Ola Electric, Reliance Industries, Tech Mahindra, and TCS.

Robotics 117

Robotics Automation AI AI 117

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 328

ESG Generative AI AI AI 328

Pickl AI

OCTOBER 10, 2024

Summary: Data transformation tools streamline data processing by automating the conversion of raw data into usable formats. These tools enhance efficiency, improve data quality, and support Advanced Analytics like Machine Learning. These tools automate the process, making it faster and more accurate.

ETL 52

ETL Data Quality Business Intelligence Big Data 52

Marktechpost

JUNE 13, 2024

Objective of Data Engineering: The main goal is to transform raw data into structured data suitable for downstream tasks such as machine learning. This involves a series of semi-automated or automated operations implemented through data engineering pipeline frameworks.

ETL 129

ETL Machine Learning Data Ingestion Big Data 129

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 321

DevOps Automation Data Integration Generative AI 321

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 222

Generative AI AI AI Automation 222

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

Pickl AI

OCTOBER 17, 2024

Summary: The ETL process, which consists of data extraction, transformation, and loading, is vital for effective data management. Following best practices and using suitable tools enhances data integrity and quality, supporting informed decision-making. Introduction The ETL process is crucial in modern data management.

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ETL Explainability Data Integration Data Extraction 52

IBM Journey to AI blog

JANUARY 15, 2024

But organizations still need humans to decide what actions to take based on what the ML-analyzed data shows. Trend: Automation Like AI and ML, automation will be a huge driver of human productivity. Organizations undergoing digital transformations are likely to uncover wide swaths of manual work that can and should be automated.

Automation 229

Automation Machine Learning DevOps Artificial Intelligence 229

Unite.AI

JUNE 12, 2024

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. While cinematic portrayals of AI often evoke fears of uncontrollable, malevolent machines, the reality in IT is more nuanced.

Data Quality 147

Data Quality Automation AI AI 147

Marktechpost

JUNE 30, 2024

They can automate repetitive tasks, offer intelligent suggestions, and facilitate collaboration among team members. These platforms enhance data processing capabilities, allowing users to automate data entry, perform complex calculations, and generate insights from large datasets.

Generative AI 113

Generative AI Chatbots Natural Language Processing Automation 113

Unite.AI

JUNE 13, 2024

For me, computer science is like solving a series of intricate puzzles with the added thrill of automation. How is data.world investing in research and development to stay at the forefront of AI and data integration technologies? We’re committed to staying at the bleeding edge of what’s possible in AI and data integration.

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Explainability Data Integration Metadata Generative AI 130

IBM Journey to AI blog

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. AutoML tools: Automated machine learning, or autoML, supports faster model creation with low-code and no-code functionality.

Machine Learning 242

Machine Learning Automation AI AI 242

IBM Journey to AI blog

JULY 1, 2024

Whenever anyone talks about data lineage and how to achieve it, the spotlight tends to shine on automation. This is expected, as automating the process of calculating and establishing lineage is crucial to understanding and maintaining a trustworthy system of data pipelines.

ETL 100

ETL Automation Metadata Business Intelligence 100

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.

AI 324

AI AI Natural Language Processing Automation 324

Pickl AI

AUGUST 30, 2024

Organisations often undertake data migration during system upgrades, consolidations, or when adopting new technologies. The primary goal is to ensure that data is accurately transferred and remains usable in the new environment. It can be complex, involving various challenges such as data integrity, compatibility, and downtime.

Data Quality 52

Data Quality Data Integration Automation Machine Learning 52