IBM Journey to AI blog

JUNE 29, 2023

By having real-time data at their fingertips, decision-makers can adjust their strategies, allocate resources accordingly, and capitalize on the unexpected spike in demand, ensuring customer satisfaction while maximizing revenue. Data integration and analytics IBP relies on the integration of data from different sources and systems.

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Business Intelligence Data Integration ETL Automation 246

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.

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Generative AI Data Ingestion Large Language Models AI 321

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

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

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.

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Chatbots Automation Machine Learning DevOps 127

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.

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Data Integration Data Science Automation Metadata 147

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.

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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.

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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.

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Automation Machine Learning DevOps Artificial Intelligence 229

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

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

Unite.AI

AUGUST 28, 2024

This blog will explore the five challenges in implementing AI in healthcare, their solutions, and their benefits. Challenges of Using AI in Healthcare Physicians, doctors, nurses, and other healthcare providers face many challenges integrating AI into their workflows, from displacement of human labor to data quality issues.

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Data Quality Algorithm AI AI 317

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.

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ETL Automation Metadata Business Intelligence 100

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?

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Automation Artificial Intelligence Artificial Intelligence Big Data 229

IBM Journey to AI blog

APRIL 19, 2023

This work involved creating a single set of definitions and procedures for collecting and reporting financial data. The water company also needed to develop reporting for a data warehouse, financial data integration and operations.

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Data Integration Automation 264

IBM Journey to AI blog

NOVEMBER 9, 2023

Created by HL7 International, FHIR helps to deliver a view of health history for patients who see multiple providers in different health plans by compiling all information into a single personal health record that integrates data from different formats.

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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

SEPTEMBER 23, 2024

. “It all starts with our upstream collaboration on data—connecting watsonx.data with Salesforce Data Cloud. ” Data integration fuels AI agents The partnership also plans to incorporate AI agents into Slack, Salesforce’s workplace communication platform.

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Explainability AI AI Data Quality 100

IBM Journey to AI blog

MARCH 25, 2024

This blog and the IBM Institute for Business Value study The Revolutionary Content Supply Chain aim to answer these questions to help executives and their employees to better understand the changing landscape in content creation and embrace the power of generative AI models when it comes to optimizing their content supply chains.

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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 189

Data Quality Automation Data Ingestion Data Platform 189

IBM Journey to AI blog

DECEMBER 11, 2023

Kubernetes , Docker Swarm ) to automate the deployment of apps across all clouds. This centralized management system makes implementing security measures like encryption , automation, access control and endpoint data security easier. This redundancy prevents data loss if one of the backups is comprised.

DevOps 317

DevOps Automation Generative AI Big Data 317

AWS Machine Learning Blog

JUNE 18, 2024

The solution addressed in this blog solves Afri-SET’s challenge and was ranked as the top 3 winning solutions. This post presents a solution that uses a generative artificial intelligence (AI) to standardize air quality data from low-cost sensors in Africa, specifically addressing the air quality data integration problem of low-cost sensors.

Generative AI 125

Generative AI Data Ingestion Python LLM 125

Marktechpost

APRIL 18, 2024

The core challenge involves integrating distinct data types, primarily images, and text, to create models that can effectively interpret and respond to multimodal inputs. This challenge is critical for applications ranging from automated content generation to enhanced interactive systems. Check out the HF Project Page and Blog.

Data Integration 134

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Pickl AI

AUGUST 30, 2024

Introduction It is a critical process in the digital landscape, enabling organisations to transfer data between systems, formats, or storage solutions. As businesses evolve, the need for efficient data management becomes paramount. Explore More: Cloud Migration: Strategy and Tools What is Data Migration?

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Data Quality Data Integration Automation Machine Learning 52

Pickl AI

JULY 30, 2024

Summary: Apache NiFi is a powerful open-source data ingestion platform design to automate data flow management between systems. Its architecture includes FlowFiles, repositories, and processors, enabling efficient data processing and transformation. What is Apache NiFi?

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Data Ingestion ETL Big Data Data Integration 52

IBM Journey to AI blog

AUGUST 7, 2023

Transparency throughout the data lifecycle and the ability to demonstrate data integrity and consistency are critical factors for improvement. The ledger delivers tamper evidence, enabling the detection of any modifications made to the data, even if carried out by privileged users.

Data Integration 189

Data Integration Metadata Automation 189

Pickl AI

OCTOBER 6, 2024

Summary: This blog explores the key differences between ETL and ELT, detailing their processes, advantages, and disadvantages. Understanding these methods helps organizations optimize their data workflows for better decision-making. Understanding these components helps organisations optimise their data integration efforts.

ETL 52

ETL Data Quality Data Integration Big Data 52

Unite.AI

OCTOBER 26, 2023

Sales engagement platforms have emerged as vital tools for sales teams, offering sophisticated functionalities to enhance interactions, automate processes, and drive sales. From email automation to advanced analytics, sales engagement platforms are redefining the way businesses interact with their potential and existing customers.

Automation 162

Automation Auto-complete Data Analysis Natural Language Processing 162

IBM Journey to AI blog

AUGUST 23, 2023

If you add in IBM data governance solutions, the top left will look a bit more like this: The data governance solution powered by IBM Knowledge Catalog offers several capabilities to help facilitate advanced data discovery, automated data quality and data protection. and watsonx.data.

Large Language Models 187

Large Language Models Data Discovery LLM AI 187

Pickl AI

JULY 8, 2024

Summary: This blog explains how to build efficient data pipelines, detailing each step from data collection to final delivery. Introduction Data pipelines play a pivotal role in modern data architecture by seamlessly transporting and transforming raw data into valuable insights.

ETL 52

ETL Data Quality Data Integration Automation 52

IBM Journey to AI blog

DECEMBER 7, 2023

With IBM App Connect, business users and integration specialists can discover existing APIs through the App Connect catalog. They can reuse existing APIs in App/Data Integration projects and they can create new APIs from model-driven integration flows. It is available as a SaaS offering or on-premises.

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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 290

AI AI Natural Language Processing Artificial Intelligence 290

IBM Journey to AI blog

JANUARY 5, 2023

Both approaches were typically monolithic and centralized architectures organized around mechanical functions of data ingestion, processing, cleansing, aggregation, and serving. Taking an inventory of existing data assets and mapping current data flows. As previously mentioned, a data fabric is one such architecture.

Data Quality 130

Data Quality Metadata ETL Big Data 130

IBM Journey to AI blog

DECEMBER 16, 2022

After all, Alex may not be aware of all the data available to her. With a data catalog, Alex can discover data assets she may have never found otherwise. An enterprise data catalog automates the process of contextualizing data assets by using: Business metadata to describe an asset’s content and purpose.

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Metadata Data Quality Data Discovery Data Scientist 130

IBM Journey to AI blog

JULY 26, 2023

In this blog post, we will delve into the concept of zero-based budgeting, exploring its definition, advantages, disadvantages, implementation steps, and tools needed. These tools provide a centralized platform for top-down and bottom-up budgeting creation, collaboration, scenario modeling, data integration, and reporting.

Data Integration 189

Data Integration Artificial Intelligence Artificial Intelligence Machine Learning 189

IBM Journey to AI blog

JANUARY 26, 2024

This has changed the traditional on-site maintenance approach where personnel used to run to the data room to flip through the information; adopting the intelligent positioning of maintenance data through on-site scope helps promote transparency, standardize the maintenance management, and automate the maintenance method.

Auto-complete 229

Auto-complete Data Integration Automation AI 229

Pickl AI

OCTOBER 14, 2024

Summary: File systems store unstructured data in a hierarchical format, making them suitable for simple applications. In contrast, Database Management Systems (DBMS) manage structured data, providing advanced features like query processing, data integrity, and security. What is a File System? What is DBMS?

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Data Integration Automation Algorithm Data Science 52