Precisely

JANUARY 9, 2025

The simple idea was, hey how can we get more value from the transactional data in our operational systems spanning finance, sales, customer relationship management, and other siloed functions. There was no easy way to consolidate and analyze this data to more effectively manage our business.

Data Integration 119

Data Integration Hadoop Data Warehouse Data Lake 119

Data Engineering Podcast

JUNE 17, 2021

Summary Working with unstructured data has typically been a motivation for a data lake. Kirk Marple has spent years working with data systems and the media industry, which inspired him to build a platform for automatically organizing your unstructured assets to make them more valuable.

Unstructured Data 100

Unstructured Data Data Warehouse Metadata Media 100

phData: Data Engineering

NOVEMBER 8, 2024

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. Open Table Format (OTF) architecture now provides a solution for efficient data storage, management, and processing while ensuring compatibility across different platforms.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Snowflake

MARCH 6, 2025

Large language models (LLMs) are transforming how we extract value from this data by running tasks from categorization to summarization and more. While AI has proved that real-time conversations in natural language are possible with LLMs, extracting insights from millions of unstructured data records using these LLMs can be a game changer.

Unstructured Data 97

Unstructured Data Medical Media Data Workflow 97

Snowflake

APRIL 16, 2025

This major enhancement brings the power to analyze images and other unstructured data directly into Snowflakes query engine, using familiar SQL at scale. Unify your structured and unstructured data more efficiently and with less complexity. Introducing Cortex AI COMPLETE Multimodal , now in public preview.

Data Analysis 75

Data Analysis Unstructured Data Manufacturing Retail 75

Snowflake

NOVEMBER 11, 2024

Snowflake will be introducing new multimodal SQL functions (private preview soon) that enable data teams to run analytical workflows on unstructured data, such as images. With these functions, teams can run tasks such as semantic filters and joins across unstructured data sets using familiar SQL syntax.

Unstructured Data 98

Unstructured Data SQL AWS Healthcare 98

Data Engineering Weekly

JANUARY 15, 2025

The Critical Role of AI Data Engineers in a Data-Driven World How does a chatbot seamlessly interpret your questions? The answer lies in unstructured data processing—a field that powers modern artificial intelligence (AI) systems. How does a self-driving car understand a chaotic street scene?

Data Engineering 63

Data Engineering Data Engineer Unstructured Data Engineering 63

Cloudera

NOVEMBER 7, 2023

Are you struggling to manage the ever-increasing volume and variety of data in today’s constantly evolving landscape of modern data architectures? Apache Ozone is compatible with Amazon S3 and Hadoop FileSystem protocols and provides bucket layouts that are optimized for both Object Store and File system semantics.

Systems 105

Systems Hadoop Unstructured Data Media 105

Data Engineering Podcast

AUGUST 14, 2021

In this episode Davit Buniatyan, founder and CEO of Activeloop, explains why he is spending his time and energy on building a platform to simplify the work of getting your unstructured data ready for machine learning. The data you’re looking for is already in your data warehouse and BI tools.

Unstructured Data 100

Unstructured Data Machine Learning Data Lake SQL 100

Monte Carlo

MARCH 28, 2025

In this article, Ill share how even the best AI applications can break, and share how leading teams are managing reliability at scale across the ever-evolving data + AI estate. Failures can be boiled down into one of four root causes: Data First, you have the data feeding your modern data and AI platform.

Coding 52

Coding Systems Data Pipeline ETL Tools 52

Snowflake

MARCH 12, 2025

With built-in root cause analysis, it quickly identifies the source of the problem, mitigating impact on data operations across the scope of the business. Anomalo continues to reinvent enterprise data quality with the release of its new unstructured data quality monitoring product and is laying the data foundations for generative AI.

Unstructured Data 95

Unstructured Data High Quality Data Banking Machine Learning 95

Snowflake

DECEMBER 4, 2024

Beyond working with well-structured data in a data warehouse, modern AI systems can use deep learning and natural language processing to work effectively with unstructured and semi-structured data in data lakes and lakehouses.

Unstructured Data 97

Unstructured Data Data Lake Deep Learning Structured Data 97

Data Engineering Weekly

OCTOBER 27, 2024

Astasia Myers: The three components of the unstructured data stack LLMs and vector databases significantly improved the ability to process and understand unstructured data. The blog is an excellent summary of the existing unstructured data landscape.

Data Engineering 58

Data Engineering Data Engineer Engineering Unstructured Data 58

AltexSoft

MAY 12, 2023

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. What is unstructured data?

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Snowflake

APRIL 13, 2025

Agentic AI refers to AI systems that act autonomously on behalf of their users. These systems make decisions, learn from interactions and continuously improve without constant human intervention. This results in more accurate outputs and actions compared to standard AI systems, facilitating autonomous decision-making.

Data Management 80

Data Management Management Consulting Unstructured Data 80

Monte Carlo

OCTOBER 31, 2024

But what does an AI data engineer do? AI data engineers play a critical role in developing and managing AI-powered data systems. Table of Contents What Does an AI Data Engineer Do? Challenges Faced by AI Data Engineers Just because “AI” involved doesn’t mean all the challenges go away! Let’s examine a few.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Data Engineering Podcast

FEBRUARY 27, 2022

As organizations start to adopt cloud technologies they need a way to manage the distribution, discovery, and collaboration of data across their operating environments. What are the data replication and consistency guarantees that you are able to offer while spanning across on-premise and cloud systems/block and object storage?

Unstructured Data 100

Unstructured Data Cloud Management Metadata 100

Snowflake

FEBRUARY 5, 2024

Increasingly, financial institutions will monetize their data through apps and data marketplaces. But traditional data management systems struggle to store and process vast troves of unstructured data — ranging from emails and social media posts to scanned documents, video and audio recordings.

Unstructured Data 126

Unstructured Data Banking Government Insurance 126

Monte Carlo

MARCH 19, 2025

Monte Carlo and Databricks double-down on their partnership, helping organizations build trusted AI applications by expanding visibility into the data pipelines that fuel the Databricks Data Intelligence Platform. For too long, data teams have been flying blind when it comes to AI systems.

Unstructured Data 52

Unstructured Data Data Pipeline High Quality Data Banking 52

Monte Carlo

MARCH 7, 2025

Unstructured data quality measures how well your non-tabular information meets the six critical dimensions of data quality : accuracy, completeness, integrity, validity, timeliness, and uniqueness. Heres what you need to knowand how you can start fixing your unstructured data issues today. The hidden costs?

Unstructured Data 52

Unstructured Data Structured Data Data Database 52

Cloudera

SEPTEMBER 15, 2022

Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API.

Systems 87

Systems Hadoop Metadata Telecommunication 87

Snowflake

APRIL 22, 2025

Ninety-six percent of early adopters say theyre training, tuning or augmenting their commercial and open source LLMs, and 80% are fine-tuning models with their proprietary data. To pile onto the challenge, the vast majority of any companys data is unstructured think PDFs, videos and images.

IT 59

IT Unstructured Data Government Cloud 59

Data Engineering Weekly

FEBRUARY 9, 2025

[link] QuantumBlack: Solving data quality for gen AI applications Unstructured data processing is a top priority for enterprises that want to harness the power of GenAI. It brings challenges in data processing and quality, but what data quality means in unstructured data is a top question for every organization.

Data Engineering 58

Data Engineering Data Engineer Engineering Unstructured Data 58

Snowflake

FEBRUARY 6, 2024

While flying may be more automated now, the importance of accurate and diverse data for aviation safety remains — and is likely even more critical. In two recent airplane accidents, automated systems aboard a Boeing 737 MAX made decisions based on inaccurate data. Having limited data sources increases risk.

Unstructured Data 128

Unstructured Data Retail Data Manufacturing 128

Snowflake

JANUARY 21, 2025

Snowflake is a single, easy-to-use cloud data and AI platform. It consolidates data across channels, systems and teams, enabling seamless collaboration and real-time analytics, so agencies no longer need to manage multiple systems or reconcile fragmented data sources.

Media 98

Media Unstructured Data Data Retail 98

Snowflake

JULY 25, 2024

Snowflake Cortex Search, a fully managed search service for documents and other unstructured data, is now in public preview. Solving the challenges of building high-quality RAG applications From the beginning, Snowflake’s mission has been to empower customers to extract more value from their data.

Unstructured Data 132

Unstructured Data Metadata Government SQL 132

Data Engineering Podcast

JUNE 26, 2022

In order to reduce the friction involved in aggregating disparate data sets that share geographic similarities the Unfolded team built a platform that supports working across raster, vector, and tabular data in a single system. Unstruk is the DataOps platform for your unstructured data.

Datasets 130

Datasets Unstructured Data Metadata MongoDB 130

Striim

APRIL 18, 2025

If the underlying data is incomplete, inconsistent, or delayed, even the most advanced AI models and business intelligence systems will produce unreliable insights. Many organizations struggle with: Inconsistent data formats : Different systems store data in varied structures, requiring extensive preprocessing before analysis.

High Quality Data 52

High Quality Data Business Intelligence Unstructured Data Data Pipeline 52

Monte Carlo

MARCH 3, 2025

System Sprawl – Currently, there is not what we would call an industry standard architecture, although hints are emerging. The data + AI stack is actually four separate stacks coming together: structured data, unstructured data, AI and oftentimes the SaaS stack. But you need to observe the whole system.

Unstructured Data 52

Unstructured Data Data Cloud Computing Banking 52

RandomTrees

NOVEMBER 25, 2024

There are obligations on telecommunications providers to ensure that their systems of AI are accountable and understandable to clients and regulatory authorities. The considerable amount of unstructured data required Random Trees to create AI models that ensure privacy and data handling.

Telecommunication 52

Telecommunication IT Unstructured Data Data Mining 52

Rockset

APRIL 18, 2023

We’re excited to introduce vector search on Rockset to power fast and efficient search experiences, personalization engines, fraud detection systems and more. Organizations have continued to accumulate large quantities of unstructured data, ranging from text documents to multimedia content to machine and sensor data.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Data Engineering Podcast

JUNE 19, 2022

Summary Data analysis is a valuable exercise that is often out of reach of non-technical users as a result of the complexity of data systems. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows.

Metadata 130

Metadata Unstructured Data MongoDB MySQL 130

AltexSoft

JULY 27, 2021

You’ll learn about the types of recommender systems, their differences, strengths, weaknesses, and real-life examples. Personalization and recommender systems in a nutshell. Primarily developed to help users deal with a large range of choices they encounter, recommender systems come into play. Amazon, Booking.com) and.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

Team Data Science

JANUARY 8, 2021

Big Data is a collection of large data sets, particularly from new sources, providing an array of possibilities for those who want to work with data and are enthusiastic about unraveling trends in rows of new, unstructured data.

Data Engineering 130

Data Engineering Data Engineer Engineering Unstructured Data 130

Monte Carlo

DECEMBER 9, 2024

.” Even when you’re working with unstructured data, like text for a language learning model, you still want to steer clear of bad inputs. If the data is messy or misleading, it can distort the AI’s understanding and lead to poor outputs. Why Does AI Need Good Data? the system sees the world.

High Quality Data 52

High Quality Data Unstructured Data Datasets Data 52

Snowflake

JANUARY 18, 2024

A fragmented resource planning system causes data silos, making enterprise-wide visibility virtually impossible. And in many ERP consolidations, historical data from the legacy system is lost, making it challenging to do predictive analytics. Ease of use Snowflake’s architectural simplicity improves ease of use.

Manufacturing 111

Manufacturing Unstructured Data Cloud Architecture 111

Data Engineering Weekly

JULY 14, 2024

[link] Sponsored: 7/25 Amazon Bedrock Data Integration Tech Talk Streamline & scale data integration to and from Amazon Bedrock for generative AI applications. Senior Solutions Architect at AWS) Learn about: Efficient methods to feed unstructured data into Amazon Bedrock without intermediary services like S3.

Data Engineering 98

Data Engineering Data Engineer Engineering Unstructured Data 98