IBM Journey to AI blog

SEPTEMBER 27, 2023

The list of challenges is long: cloud attack surface sprawl, complex application environments, information overload from disparate tools, noise from false positives and low-risk events, just to name a few. The average cost of a data breach set a new record in 2023 of USD 4.45

Automation 316

Automation Data Ingestion Artificial Intelligence Artificial Intelligence 316

Unite.AI

OCTOBER 14, 2024

Quantum provides end-to-end data solutions that help organizations manage, enrich, and protect unstructured data, such as video and audio files, at scale. Their technology focuses on transforming data into valuable insights, enabling businesses to extract value and make informed decisions.

ML 195

ML Data Ingestion Data Analysis Machine Learning 195

AWS Machine Learning Blog

AUGUST 28, 2024

RAG models retrieve relevant information from a large corpus of text and then use a generative language model to synthesize an answer based on the retrieved information. Solution overview The solution provides an automated end-to-end deployment of a RAG workflow using Knowledge Bases for Amazon Bedrock.

Data Ingestion 94

Data Ingestion Natural Language Processing Machine Learning Generative AI 94

AWS Machine Learning Blog

AUGUST 5, 2024

RAG models first retrieve relevant information from a large corpus of text and then use a FM to synthesize an answer based on the retrieved information. Building and deploying these components can be complex and error-prone, especially when dealing with large-scale data and models. Choose Sync to initiate the data ingestion job.

Natural Language Processing 128

Natural Language Processing Automation Generative AI Machine Learning 128

AI News

AUGUST 29, 2023

“If you think about building a data pipeline, whether you’re doing a simple BI project or a complex AI or machine learning project, you’ve got data ingestion, data storage and processing, and data insight – and underneath all of those four stages, there’s a variety of different technologies being used,” explains Faruqui.

Data Ingestion 165

Data Ingestion Explainability Big Data ETL 165

AWS Machine Learning Blog

JUNE 18, 2024

Through evaluations of sensors and informed decision-making support, Afri-SET empowers governments and civil society for effective air quality management. 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.

Generative AI 125

Generative AI Data Ingestion Python LLM 125

AWS Machine Learning Blog

JULY 11, 2024

Agents for Amazon Bedrock automates the prompt engineering and orchestration of user-requested tasks. After being configured, an agent builds the prompt and augments it with your company-specific information to provide responses back to the user in natural language. Double-check all entered information for accuracy.

Data Ingestion 131

Data Ingestion DevOps Prompt Engineer Prompt Engineering 131

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

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 ). With this information, you can identify optimization opportunities, such as scaling down under-utilized resources.

Generative AI 121

Generative AI Data Ingestion AI AI 121

AWS Machine Learning Blog

OCTOBER 23, 2024

Amazon Bedrock Knowledge Bases gives foundation models (FMs) and agents contextual information from your company’s private data sources for Retrieval Augmented Generation (RAG) to deliver more relevant, accurate, and customized responses. The LangChain AI assistant retrieves the conversation history from DynamoDB.

Data Ingestion 96

Data Ingestion Natural Language Processing Generative AI Conversational AI 96

ODSC - Open Data Science

JUNE 22, 2023

Rather than using paper records, data is now collected and stored using digital tools. However, even digital information has to be stored somewhere. While databases were the traditional way to store large amounts of data, a new storage method has developed that can store even more significant and varied amounts of data.

Data Ingestion 98

Data Ingestion Data Science Automation AI 98

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

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 126

Data Ingestion Metadata NLP Data Scientist 126

AWS Machine Learning Blog

NOVEMBER 7, 2024

Data collection – Updated shop prices lead to updated demand. The new information is used to enhance the training sets used in Step 1 for forecasting discounts. At the same time, we incorporated continuous integration and delivery (CI/CD) processes, automated testing, and model versioning into the solution.

ML 111

ML Machine Learning Automation Data Scientist 111

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. The AI assistant provides answers along with links that point directly to the data sources.

IDP 120

IDP Automation Data Ingestion Generative AI 120

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 263

Machine Learning Data Ingestion Automation Data Scientist 263

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 118

Automation Neural Network Machine Learning Data Scientist 118

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.

ETL 52

ETL Explainability Data Integration Data Extraction 52

TransOrg Analytics

AUGUST 21, 2024

Customer 360 initiatives are designed to bring together relevant information about individual consumers from different touch points, including but not limited to sales, marketing, customer service, and social media platforms. How Data Engineering Enhances Customer 360 Initiatives 1.

ETL 52

ETL Big Data Engineer Data Ingestion Data Integration 52

AWS Machine Learning Blog

MARCH 1, 2023

It helps you extract information by recognizing sentiments, key phrases, entities, and much more, allowing you to take advantage of state-of-the-art models and adapt them for your specific use case. An Amazon Comprehend flywheel automates this ML process, from data ingestion to deploying the model in production.

Data Ingestion 95

Data Ingestion DevOps Automation ML 95

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

AWS Machine Learning Blog

DECEMBER 18, 2023

By exploring these challenges, organizations can recognize the importance of real-time forecasting and explore innovative solutions to overcome these hurdles, enabling them to stay competitive, make informed decisions, and thrive in today’s fast-paced business environment. For more information, refer to the following resources.

Data Extraction 127

Data Extraction Data Ingestion ML Machine Learning 127

Pickl AI

JULY 8, 2024

It covers best practices for ensuring scalability, reliability, and performance while addressing common challenges, enabling businesses to transform raw data into valuable, actionable insights for informed decision-making. As stated above, data pipelines represent the backbone of modern data architecture.

ETL 52

ETL Data Quality Data Integration Automation 52

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 120

ML Data Ingestion Python Machine Learning 120

DataRobot Blog

SEPTEMBER 13, 2022

According to IDC , 83% of CEOs want their organizations to be more data-driven. Data scientists could be your key to unlocking the potential of the Information Revolution—but what do data scientists do? What Do Data Scientists Do? Data scientists drive business outcomes. Awareness and Activation.

Data Scientist 52

Data Scientist Automation Data Ingestion ML 52

AWS Machine Learning Blog

MARCH 29, 2023

In this post, we discuss how the IEO developed UNDP’s artificial intelligence and machine learning (ML) platform—named Artificial Intelligence for Development Analytics (AIDA)— in collaboration with AWS, UNDP’s Information and Technology Management Team (UNDP ITM), and the United Nations International Computing Centre (UNICC).

ML 84

ML Metadata Data Ingestion Data Extraction 84

AWS Machine Learning Blog

OCTOBER 11, 2024

Generative AI is used in various use cases, such as content creation, personalization, intelligent assistants, questions and answers, summarization, automation, cost-efficiencies, productivity improvement assistants, customization, innovation, and more. The agent invokes the process to retrieve information from the knowledge source.

Metadata 102

Metadata Generative AI LLM Data Ingestion 102

AWS Machine Learning Blog

MARCH 8, 2023

MPII is using a machine learning (ML) bid optimization engine to inform upstream decision-making processes in power asset management and trading. This solution helps market analysts design and perform data-driven bidding strategies optimized for power asset profitability. Manager Data Science at Marubeni Power International.

Machine Learning 90

Machine Learning Data Ingestion ML Data Science 90

AWS Machine Learning Blog

NOVEMBER 22, 2023

Rather than requiring your data science and IT teams to build and maintain AI models, you can use pre-trained AI services that can automate tasks for you. How to manage the document and its extracted information in the solution is the key to data consistency, security, and privacy.

IDP 120

IDP ML Machine Learning Automation 120

Pickl AI

OCTOBER 22, 2024

Its RESTful API also simplifies integration with other applications, making it a popular choice for developers looking for a versatile search and Data Analysis solution. With over 58,220 companies using Elasticsearch, its popularity continues to grow within the Information Technology and Services industry, particularly in the United States.

Data Analysis 52

Data Analysis Data Ingestion Business Intelligence Automation 52

Pickl AI

SEPTEMBER 11, 2024

Introduction to BDaaS In today’s data-driven world, organisations are inundated with vast amounts of information generated from various sources. This explosion of data presents both opportunities and challenges. It provides APIs and data connectors to facilitate data ingestion, transformation, and delivery.

Big Data 52

Big Data Data Integration Machine Learning Data Ingestion 52

AWS Machine Learning Blog

JUNE 27, 2023

The ML components for data ingestion, preprocessing, and model training were available as disjointed Python scripts and notebooks, which required a lot of manual heavy lifting on the part of engineers. It also persists a manifest file to Amazon S3, including all necessary information to recreate that dataset version.

DevOps 120

DevOps ML Machine Learning ML Engineer 120

AWS Machine Learning Blog

AUGUST 21, 2024

The banking dataset contains information about bank clients such as age, job, marital status, education, credit default status, and details about the marketing campaign contacts like communication type, duration, number of contacts, and outcome of the previous campaign. A new data flow is created on the Data Wrangler console.

Machine Learning 120

Machine Learning Data Scientist ML Data Quality 120

AWS Machine Learning Blog

NOVEMBER 22, 2023

Codify Operations for Efficiency and Reproducibility By performing operations as code and incorporating automated deployment methodologies, organizations can achieve scalable, repeatable, and consistent processes. By centralizing datasets within the flywheel’s dedicated Amazon S3 data lake, you ensure efficient data management.

IDP 111

IDP Data Extraction Auto-classification Machine Learning 111

Mlearning.ai

FEBRUARY 16, 2023

Today, companies are facing a continual need to store tremendous volumes of data. The demand for information repositories enabling business intelligence and analytics is growing exponentially, giving birth to cloud solutions. The tool’s high storage capacity is perfect for keeping large information volumes.

Business Intelligence 52

Business Intelligence Data Ingestion Metadata Machine Learning 52

AWS Machine Learning Blog

MAY 5, 2023

To easily provide users with a large repository of relevant results, the solution should provide an automated way of searching through trusted sources. Identifying keywords such as use cases and industry verticals in these sources also allows the information to be captured and for more relevant search results to be displayed to the user.

Metadata 108

Metadata ETL Data Ingestion ML 108

Pickl AI

APRIL 14, 2023

Relying on a credible Data Governance platform is paramount to seamlessly implementing Data Governance policies. These platforms are centralized and designed to manage data practices, facilitate collaboration among different stakeholders, and automate the Data Governance workflow. Wrapping it up !!!

Data Platform 52

Data Platform Data Integration Data Ingestion Automation 52