IBM Journey to AI blog

SEPTEMBER 27, 2023

The average cost of a data breach set a new record in 2023 of USD 4.45 On the bright side, data also shows that artificial intelligence (AI) and automation can improve security readiness and speed response to attacks, to help dramatically shrink the data breach window before causing real harm.

Automation 295

Automation Data Ingestion Artificial Intelligence Artificial Intelligence 295

AWS Machine Learning Blog

FEBRUARY 21, 2025

Rockets legacy data science environment challenges Rockets previous data science solution was built around Apache Spark and combined the use of a legacy version of the Hadoop environment and vendor-provided Data Science Experience development tools. Rockets legacy data science architecture is shown in the following diagram.

Data Science 78

Data Science Data Scientist Data Ingestion DevOps 78

IBM Journey to AI blog

MARCH 21, 2024

Artificial intelligence (AI) is revolutionizing industries by enabling advanced analytics, automation and personalized experiences. Accelerated data processing Efficient data processing pipelines are critical for AI workflows, especially those involving large datasets.

Data Ingestion 198

Data Ingestion Natural Language Processing Algorithm Automation 198

AI News

SEPTEMBER 29, 2024

Additionally, they accelerate time-to-market for AI-driven innovations by enabling rapid data ingestion and retrieval, facilitating faster experimentation. Photo by Caspar Camille Rubin ) Want to learn more about AI and big data from industry leaders?

Big Data 309

Big Data Generative AI ETL Data Ingestion 309

AWS Machine Learning Blog

MAY 4, 2023

You can implement this workflow in Forecast either from the AWS Management Console , the AWS Command Line Interface (AWS CLI), via API calls using Python notebooks , or via automation solutions. The console and AWS CLI methods are best suited for quick experimentation to check the feasibility of time series forecasting using your data.

Automation 132

Automation Metadata Data Ingestion Data Scientist 132

Flipboard

MARCH 3, 2023

Data proliferation has become a norm and as organizations become more data driven, automating data pipelines that enable data ingestion, curation, …

Data Ingestion 123

Data Ingestion ML Automation Big Data 123

AWS Machine Learning Blog

OCTOBER 23, 2024

By automating document ingestion, chunking, and embedding, it eliminates the need to manually set up complex vector databases or custom retrieval systems, significantly reducing development complexity and time. Deploying the agent with other resources is automated through the provided AWS CloudFormation template.

Data Ingestion 93

Data Ingestion Natural Language Processing Generative AI Conversational AI 93

AWS Machine Learning Blog

MAY 7, 2024

The service allows for simple audio data ingestion, easy-to-read transcript creation, and accuracy improvement through custom vocabularies. The framework provisions resources in a safe, repeatable manner, allowing for a significant acceleration of the development process.

Automation 132

Automation Auto-complete DevOps UX Design 132

IBM Journey to AI blog

JANUARY 9, 2024

Successful hybrid cloud strategies require a unified control and management plane, enabling automated deployment of applications across various environments, comprehensive observability and improved cyber resiliency.

Data Ingestion 212

Data Ingestion Automation Data Platform AI Modeling 212

Marktechpost

JUNE 16, 2024

This feature automates data layout optimization to enhance query performance and reduce storage costs. Key Features and Benefits: Automated Data Layout Optimization: Predictive Optimization leverages AI to analyze query patterns and determine the best optimizations for data layouts.

Data Ingestion 117

Data Ingestion Python Automation Data Scientist 117

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

Snorkel AI

JANUARY 8, 2025

At Snorkel, weve partnered with Databricks to create a powerful synergy between their data lakehouse and our Snorkel Flow AI data development platform. Ingesting raw data from Databricks into Snorkel Flow Efficient data ingestion is the foundation of any machine learning project. Sign up here!

AI Development 52

AI Development AI Developer Data Ingestion LLM 52

AWS Machine Learning Blog

FEBRUARY 7, 2025

This deployment guide covers the steps to set up an Amazon Q solution that connects to Amazon Simple Storage Service (Amazon S3) and a web crawler data source, and integrates with AWS IAM Identity Center for authentication. An AWS CloudFormation template automates the deployment of this solution.

Data Ingestion 76

Data Ingestion Large Language Models Generative AI Automation 76

IBM Journey to AI blog

SEPTEMBER 11, 2023

Forrester’s 2022 Total Economic Impact Report for Data Management highlights the impact Db2 and the IBM data management portfolio is having for customers: Return on investment (ROI) of 241% and payback <6 months. Both services offer independent compute and storage scaling, high availability, and automated DBA tasks.

Machine Learning 253

Machine Learning Data Ingestion Automation Data Scientist 253

AWS Machine Learning Blog

JUNE 18, 2024

The platform, although functional, deals with CSV and JSON files containing hundreds of thousands of rows from various manufacturers, demanding substantial effort for data ingestion. The objective is to automate data integration from various sensor manufacturers for Accra, Ghana, paving the way for scalability across West Africa.

Generative AI 131

Generative AI Data Ingestion Python LLM 131

IBM Journey to AI blog

SEPTEMBER 20, 2023

These include data ingestion, data selection, data pre-processing, FM pre-training, model tuning to one or more downstream tasks, inference serving, and data and AI model governance and lifecycle management—all of which can be described as FMOps.

Large Language Models 238

Large Language Models DevOps Data Science AI Modeling 238

AWS Machine Learning Blog

AUGUST 5, 2024

Building and deploying these components can be complex and error-prone, especially when dealing with large-scale data and models. Solution overview The solution provides an automated end-to-end deployment of a RAG workflow using Knowledge Bases for Amazon Bedrock. Choose Sync to initiate the data ingestion job.

Natural Language Processing 125

Natural Language Processing Automation Machine Learning Generative AI 125

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 127

ETL Machine Learning Data Ingestion Big Data 127

AWS Machine Learning Blog

JULY 11, 2024

Agents for Amazon Bedrock automates the prompt engineering and orchestration of user-requested tasks. Select the KB and in the Data source section, choose Sync to begin data ingestion. When data ingestion completes, a green success banner appears if it is successful.

Data Ingestion 138

Data Ingestion DevOps Prompt Engineer Prompt Engineering 138

AWS Machine Learning Blog

FEBRUARY 5, 2025

There is also an automated ingestion job from Slack conversation data to the S3 bucket powered by an AWS Lambda function. The architectures strengths lie in its consistency across environments, automatic data ingestion processes, and comprehensive monitoring capabilities.

Data Ingestion 71

Data Ingestion AI AI Metadata 71

Unite.AI

OCTOBER 14, 2024

Oftentimes, this requires implementing a “hot” part of the initial data ingest, or landing zone where applications and users can work as fast as possible. Can you elaborate on the AI-enabled workflow management features and how they streamline data processes?

ML 193

ML Data Ingestion Data Analysis Machine Learning 193

AWS Machine Learning Blog

AUGUST 28, 2024

This post demonstrates how to seamlessly automate the deployment of an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and the AWS Cloud Development Kit (AWS CDK), enabling organizations to quickly set up a powerful question answering system. Choose Sync to initiate the data ingestion job.

Data Ingestion 94

Data Ingestion Natural Language Processing Machine Learning Generative AI 94

AWS Machine Learning Blog

OCTOBER 2, 2024

This allows you to create rules that invoke specific actions when certain events occur, enhancing the automation and responsiveness of your observability setup (for more details, see Monitor Amazon Bedrock ). The job could be automated based on a ground truth, or you could use humans to bring in expertise on the matter.

Generative AI 128

Generative AI Data Ingestion AI AI 128

AWS Machine Learning Blog

NOVEMBER 22, 2023

Customers across all industries run IDP workloads on AWS to deliver business value by automating use cases such as KYC forms, tax documents, invoices, insurance claims, delivery reports, inventory reports, and more. Effectively manage your data and its lifecycle Data plays a key role throughout your IDP solution.

IDP 115

IDP Data Ingestion Automation Natural Language Processing 115

AWS Machine Learning Blog

JANUARY 29, 2025

They implement landing zones to automate secure account creation and streamline management across accounts, including logging, monitoring, and auditing. With Amazon Bedrock Knowledge Bases , you securely connect FMs in Amazon Bedrock to your company data for RAG.

Generative AI 96

Generative AI AI AI Large Language Models 96

IBM Journey to AI blog

JANUARY 5, 2023

Next generation of big data platforms and long running batch jobs operated by a central team of data engineers have often led to data lake swamps. Both approaches were typically monolithic and centralized architectures organized around mechanical functions of data ingestion, processing, cleansing, aggregation, and serving.

Data Quality 130

Data Quality Metadata Big Data ETL 130

ODSC - Open Data Science

JUNE 22, 2023

There are considered three main layers of the process data lakes use to receive and store new data. Data ingestion is when new data is introduced and absorbed into the lake. The processing layer is when data is managed and sorted into its storage category.

Data Ingestion 98

Data Ingestion Data Science Automation AI 98

AWS Machine Learning Blog

FEBRUARY 23, 2023

Automation levels The SAE International (formerly called as Society of Automotive Engineers) J3016 standard defines six levels of driving automation, and is the most cited source for driving automation. This ranges from Level 0 (no automation) to Level 5 (full driving automation), as shown in the following table.

Automation 124

Automation Machine Learning Neural Network Data Scientist 124

AWS Machine Learning Blog

SEPTEMBER 19, 2023

Amazon SageMaker Feature Store provides an end-to-end solution to automate feature engineering for machine learning (ML). For many ML use cases, raw data like log files, sensor readings, or transaction records need to be transformed into meaningful features that are optimized for model training. Choose the car-data-ingestion-pipeline.

ML 124

ML Data Ingestion Python Machine Learning 124

AWS Machine Learning Blog

NOVEMBER 15, 2023

In order analyze the calls properly, Principal had a few requirements: Contact details: Understanding the customer journey requires understanding whether a speaker is an automated interactive voice response (IVR) system or a human agent and when a call transfer occurs between the two.

Data Ingestion 117

Data Ingestion Metadata NLP Data Scientist 117

AWS Machine Learning Blog

JULY 17, 2024

Amazon Q Business is a fully managed, secure, generative-AI powered enterprise chat assistant that enables natural language interactions with your organization’s data. These components include an Amazon S3 data source connector, required IAM roles, and Amazon Q Business web experience.

IDP 126

IDP Automation Data Ingestion Generative AI 126

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.

Data Ingestion 52

Data Ingestion ETL Big Data Data Integration 52

AWS Machine Learning Blog

MARCH 1, 2023

An Amazon Comprehend flywheel automates this ML process, from data ingestion to deploying the model in production. This feature also allows you to automate model retraining after new datasets are ingested and available in the flywheel´s data lake.

Data Ingestion 98

Data Ingestion DevOps ML Automation 98

AWS Machine Learning Blog

FEBRUARY 27, 2024

Automation of building new projects based on the template is streamlined through AWS Service Catalog , where a portfolio is created, serving as an abstraction for multiple products. The model will be approved by designated data scientists to deploy the model for use in production.

Machine Learning 137

Machine Learning DevOps Data Scientist Data Quality 137

Marktechpost

DECEMBER 3, 2024

As generative AI continues to grow, the need for an efficient, automated solution to transform various data types into an LLM-ready format has become even more apparent. Meet MegaParse : an open-source tool for parsing various types of documents for LLM ingestion. Check out the GitHub Page.

LLM 102

LLM AI Tools Large Language Models Data Ingestion 102

Unite.AI

JUNE 4, 2024

Google Cloud’s AI and machine learning services, including the new generative AI models, empower businesses to harness advanced analytics, automate complex processes, and enhance customer experiences. This step unified their data landscape, making it easier and more efficient for them to access and analyze their data.

Data Ingestion 130

Data Ingestion Data Platform Machine Learning Generative AI 130

deepsense.ai

JULY 30, 2023

Other steps include: data ingestion, validation and preprocessing, model deployment and versioning of model artifacts, live monitoring of large language models in a production environment, monitoring the quality of deployed models and potentially retraining them. Of course, the desired level of automation is different for each project.

Large Language Models 98

Large Language Models LLM Machine Learning Automation 98