Precisely

MARCH 7, 2024

Insurance industry leaders are just beginning to understand the value that generative AI can bring to the claims management process. By harnessing the power of machine learning and natural language processing, sophisticated systems can analyze and prioritize claims with unprecedented efficiency and timeliness.

Insurance 72

Insurance Process Medical Data Governance 72

Snowflake

FEBRUARY 5, 2024

And it’s no wonder — this new technology has the potential to revolutionize the industry by augmenting the value of employee work, driving organizational efficiencies, providing personalized customer experiences, and uncovering new insights from vast amounts of data.

Unstructured Data 104

Unstructured Data Banking Government Insurance 104

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. This information is gathered from a variety of sources, including sensor readings, social media engagements, and client transactions. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

MARCH 29, 2024

With the affinity map UX design tool, scattered thoughts become structured plans, enhancing the design process and making it more satisfying. Affinity Mapping Definition: Affinity mapping is a collaborative technique in design used to organize ideas, information, and issues. This helps you keep track of the latest trends and research.

Process 52

Process Designing Unstructured Data Raw Data 52

Data Engineering Weekly

MAY 8, 2023

Your colleague, Helen from finance, optimistically informs you that this should be easy since all the data has been entered into the company's databases. This data collection method was chosen because it was simple to deploy, with each employee responsible for their own receipts. in medical or financial contexts).

Process 52

Process Banking Raw Data Finance 52

Snowflake

NOVEMBER 11, 2024

Here’s how Snowflake Cortex AI and Snowflake ML are accelerating the delivery of trusted AI solutions for the most critical generative AI applications: Natural language processing (NLP) for data pipelines: Large language models (LLMs) have a transformative potential, but they often batch inference integration into pipelines, which can be cumbersome.

Unstructured Data 52

Unstructured Data SQL AWS Healthcare 52

Data Engineering Podcast

NOVEMBER 27, 2022

Summary The data ecosystem has been growing rapidly, with new communities joining and bringing their preferred programming languages to the mix. This has led to inefficiencies in how data is stored, accessed, and shared across process and system boundaries. Atlan is the metadata hub for your data ecosystem.

Data Process 100

Data Process Process Metadata Business Intelligence 100

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. link] All rights reserved ProtoGrowth Inc, India.

Data Engineering 57

Data Engineering Data Engineer Engineering Unstructured Data 57

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 113

Unstructured Data Metadata Government SQL 113

phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. What is a Data Lake? Consistency of data throughout the data lake.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

AltexSoft

OCTOBER 25, 2021

Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology. What is Natural Language Processing? This allows machines to extract value even from unstructured data. Nuance, acquired for $19.7

Medical 52

Medical Healthcare Process Hospitality 52

Knowledge Hut

JULY 24, 2023

As data generation continues to skyrocket, the demand for real-time decision-making, data processing, and analysis increases. Recently, the advent of stream processing has unlocked the door for a new era in database technology. One of its most significant benefits is its ability to quickly process a vast amount of data.

Database 52

Database SQL Process NoSQL 52

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

AltexSoft

DECEMBER 23, 2022

Integrating data from numerous, disjointed sources and processing it to provide context provides both opportunities and challenges. One of the ways to overcome challenges and gain more opportunities in terms of data integration is to build an ELT (Extract, Load, Transform) pipeline. Order of process phases. What is ELT?

Process 52

Process Building Raw Data Data Lake 52

Data Engineering Podcast

JUNE 26, 2022

Atlan is the metadata hub for your data ecosystem. Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Datasets 130

Datasets Unstructured Data Metadata MongoDB 130

Monte Carlo

OCTOBER 31, 2024

Key Differences Between AI Data Engineers and Traditional Data Engineers While traditional data engineers and AI data engineers have similar responsibilities, they ultimately differ in where they focus their efforts. Let’s dive into the tools necessary to become an AI data engineer. Let’s examine a few.

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

AltexSoft

MAY 27, 2021

The documents often come in semi-structured and unstructured data formats, which makes them difficult to process quickly and accurately. That’s when intelligent document processing or IDP enters the game. This post is a perfect place to get acquainted with intelligent document processing.

Technology 64

Technology Process Insurance Medical 64

Monte Carlo

FEBRUARY 12, 2024

To differentiate and expand the usefulness of these models, organizations must augment them with first-party data – typically via a process called RAG (retrieval augmented generation). Today, this first-party data mostly lives in two types of data repositories. Quality : Is the data itself anomalous?

Database 72

Database Unstructured Data Data Pipeline Metadata 72

Knowledge Hut

APRIL 25, 2024

Big data vs machine learning is indispensable, and it is crucial to effectively discern their dissimilarities to harness their potential. Big Data vs Machine Learning Big data and machine learning serve distinct purposes in the realm of data analysis.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 52

AltexSoft

NOVEMBER 23, 2021

Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization. To break data silos and speed up access to all enterprise information, organizations can opt for an advanced data integration technique known as data virtualization.

Process 69

Process Data Lake Metadata Data Warehouse 69

Data Engineering Weekly

OCTOBER 11, 2024

This centralized model mirrors early monolithic data warehouse systems like Teradata, Oracle Exadata, and IBM Netezza. These systems provided centralized data storage and processing at the cost of agility. However, the modern data stack presents challenges like manufacturing's global supply chains.

Manufacturing 109

Manufacturing Transportation Data Warehouse Unstructured Data 109

Cloudera

NOVEMBER 15, 2024

The manual process of switching between tools slows down their work, often leaving them reliant on rudimentary methods of keeping track of their findings. Unstructured data not ready for analysis: Even when defenders finally collect log data, it’s rarely in a format that’s ready for analysis.

Metadata 76

Metadata Unstructured Data Data Lake Government 76

Data Engineering Weekly

JULY 21, 2024

We are starting with Change Data Capture tools and expanding to other categories. Jessica Lachs: Starting an Analytics Org From Scratch — Lessons From a Decade at DoorDash A strong foundational analytical function is vital to making informed decisions, operational efficiency, and competitive differentiation. Stay tuned!!!

Data Engineering 117

Data Engineering Data Engineer Engineering Generalist 117

Monte Carlo

OCTOBER 10, 2024

Let’s dive into the responsibilities, skills, challenges, and potential career paths for an AI Data Quality Analyst today. Table of Contents What Does an AI Data Quality Analyst Do? Handling unstructured data Many AI models are fed large amounts of unstructured data, making data quality management complex.

Unstructured Data 52

Unstructured Data Google Cloud Machine Learning ETL Tools 52

Data Engineering Weekly

JUNE 24, 2024

A few highlights from the report Unstructured data goes mainstream. Question to the readers, what do you think of the current state of real-time data processing engines? link] Influx Data: How Good is Parquet for Wide Tables (Machine Learning Workloads) Really? AI-driven code development is going mainstream now.

Data Engineering 109

Data Engineering Data Engineer Engineering Google Cloud 109

ProjectPro

NOVEMBER 30, 2021

Now let us try to understand ETL data pipelines in more detail. It was a manual process and very challenging as well. ETL Pipeline vs. Data Pipeline - The Differences It is common to interchangeably refer to ETL (Extract, Transform, and Load) pipelines and data pipelines.

Process 52

Process Data Pipeline Data Warehouse AWS 52

Snowflake

OCTOBER 26, 2023

It can use natural language processing (NLP) to automate the process of medical documentation, significantly reducing the administrative burden on healthcare workers and allowing them to focus more on patient care. Healthcare providers: Gen AI is revolutionizing clinical practice and patient care delivery.

Healthcare 87

Healthcare Unstructured Data High Quality Data Medical 87

Knowledge Hut

AUGUST 16, 2024

Academic Prerequisites To become a successful Data Scientist, you need an undergraduate or a postgraduate degree in Computer Science, Mathematics, Statistics, Business Information Systems, Information Management , or any other similar field. Social media is one of the most common sources of unstructured data.

Data Science 52

Data Science Hadoop Unstructured Data Programming Language 52

Monte Carlo

JULY 15, 2024

We recently spoke with Killian Farrell , Principal Data Scientist at insurance startup AssuranceIQ to learn how his team built an LLM-based product to structure unstructured data and score customer conversations for developing sales and customer support teams. Did they get the information they needed? And lots of it.

Unstructured Data 52

Unstructured Data Insurance Data Lake Structured Data 52

Striim

OCTOBER 11, 2024

Then, we’ll explore a data pipeline example and dive deeper into the key differences between a traditional data pipeline vs ETL. What is a Data Pipeline? A data pipeline refers to a series of processes that transport data from one or more sources to a destination, such as a data warehouse, database, or application.

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52

Snowflake

APRIL 20, 2023

In doing so, without compromising security or governance, we enable customers and partners to bring the power of LLMs to the data to help achieve two things: make enterprises smarter about their data and enhance user productivity in secure and scalable ways. Figure 1: Visual Question Answering Challenge data types and results.

Building 118

Building Unstructured Data Government Coding 118

Data Engineering Podcast

JUNE 12, 2022

Summary Building a well rounded and effective data team is an iterative process, and the first hire can set the stage for future success or failure. Trupti Natu has been the first data hire multiple times and gone through the process of building teams across the different stages of growth.

Metadata 100

Metadata Unstructured Data Business Intelligence MongoDB 100

Snowflake

JULY 1, 2024

These broad customer profiles are being used as inputs to machine learning models to better inform risk selection. Claims triage and prioritization Machine learning models can help automatically triage claims, allowing insurers to prioritize high-value or high-risk claims for faster processing, improving efficiency and customer satisfaction.

Insurance 86

Insurance Media Unstructured Data Machine Learning 86

Monte Carlo

NOVEMBER 9, 2023

We *know* what we’re putting in (raw, often unstructured data) and we *know* what we’re getting out, but we don’t know how it got there. All of these currently exist in databases and data warehouses. Put simply, the underlying infrastructure to scale, secure, and operate LLM applications is not there yet. Take GPT-4 for example.

Unstructured Data 86

Unstructured Data Database Data Pipeline Architecture 86

Cloudera

NOVEMBER 15, 2024

The manual process of switching between tools slows down their work, often leaving them reliant on rudimentary methods of keeping track of their findings. Unstructured data not ready for analysis: Even when defenders finally collect log data, it’s rarely in a format that’s ready for analysis.

Metadata 52

Metadata Unstructured Data Data Lake Government 52

Precisely

SEPTEMBER 6, 2023

To truly succeed in an increasingly data-driven world, organizations need data governance. Data governance is the formal orchestration of people, processes, and technology to enable an organization to leverage data as an enterprise asset. The same does not hold true for unstructured data.

Data Governance 52

Data Governance Big Data Government Unstructured Data 52

Knowledge Hut

APRIL 23, 2024

In the modern data-driven landscape, organizations continuously explore avenues to derive meaningful insights from the immense volume of information available. Two popular approaches that have emerged in recent years are data warehouse and big data.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52