Monte Carlo

DECEMBER 22, 2023

Obviously data is a MASSIVE piece of the GenAI puzzle. The moral of this story: data quality will become an essential consideration for generative AI. Leveraging proprietary data into LLMs is the differentiator, but it can only be done with security and privacy controls and high quality data from the jump.

High Quality Data 52

High Quality Data Data Science Data Engineering Data Engineer 52

Monte Carlo

DECEMBER 22, 2023

Obviously data is a MASSIVE piece of the GenAI puzzle. The moral of this story: data quality will become an essential consideration for generative AI. Leveraging proprietary data into LLMs is the differentiator, but it can only be done with security and privacy controls and high quality data from the jump.

High Quality Data 52

High Quality Data Data Science Data Engineering Data Engineer 52

Databand.ai

MAY 30, 2023

Data quality refers to the degree of accuracy, consistency, completeness, reliability, and relevance of the data collected, stored, and used within an organization or a specific context. High-quality data is essential for making well-informed decisions, performing accurate analyses, and developing effective strategies.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

Data Engineering Weekly

APRIL 14, 2024

Discover how a universal semantic layer is transforming modern business intelligence, making data more accessible and reliable for organizations striving for informed business decisions. Large Language Models: Turning messy data into surprisingly coherent nonsense since 2023. High-quality data is the cornerstone of LLM.

Data Engineering 62

Data Engineering Data Engineer Engineering Business Intelligence 62

Monte Carlo

FEBRUARY 27, 2024

Organizations need to connect LLMs with their proprietary data and business context to actually create value for their customers and employees. They need robust data pipelines, high-quality data, well-guarded privacy, and cost-effective scalability. Data engineers. Who can deliver?

Data Engineering 59

Data Engineering Data Engineer Engineering High Quality Data 59

The Modern Data Company

JULY 18, 2023

It should address specific data challenges, such as improving operational efficiency, enhancing customer experience, or driving data-driven decision-making. Data Quality and Reliability Ensuring data quality is crucial for any data product.

Data Governance 69

Data Governance High Quality Data Government Data 69

Precisely

MARCH 14, 2023

First, private cloud infrastructure providers like Amazon (AWS), Microsoft (Azure), and Google (GCP) began by offering more cost-effective and elastic resources for fast access to infrastructure. Cloud-native data execution is just the beginning. How could streamlined access to quality data benefit your organization?

Data Integration 52

Data Integration High Quality Data BI Data 52

Knowledge Hut

APRIL 23, 2024

This guide will help you comprehend big data 4 characteristics to understand all the containing Vs! Volume: Quantity vs Accessibility Volume is the first of the four V's in big data and pertains to the size or magnitude of data being generated, collected, and stored. Consider both structured and unstructured data.

Big Data 52

Big Data Media Datasets Unstructured Data 52

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Effective Data Anomaly Monitoring (#2) Introduction Ensuring the accuracy and timeliness of data ingestion is a cornerstone for maintaining the integrity of data systems. This process must be continually monitored to detect and address any potential anomalies.

Data Ingestion 40

Data Ingestion Transportation High Quality Data Data Schemas 40

Snowflake

AUGUST 9, 2023

Snowflake and Seek provide the agility to get seamless access to data and analytics, so businesses can get insights quickly. What’s more, Snowflake’s Data Cloud and Seek’s Insight Cloud enable customers to run analytics that can solve tomorrow’s problems today, instead of six months from now.

Retail 52

Retail Electronics Raw Data Manufacturing 52

Precisely

SEPTEMBER 25, 2023

What times of the day are busy in the area, and are roads accessible? Data enrichment helps provide a 360 o view which informs better decisions around insuring, purchasing, financing, customer targeting, and more. Together, data validation and enrichment form a powerful combination that delivers even bigger results for your business.

Data Validation 100

Data Validation Process Raw Data Data Cleanse 100

Precisely

DECEMBER 21, 2022

Customers expect a seamless omnichannel experience, with quick and easy access to information tailored to their individual needs – and insurers who fail to deliver on that need will eventually find themselves falling behind. So how can you provide a differentiated customer experience?

Insurance 52

Insurance Data Governance Healthcare High Quality Data 52

Monte Carlo

JANUARY 3, 2024

Let me give you a hint: high-quality proprietary data. It gives the LLM access to that enterprise proprietary data. The database has to be a trusted source that includes proprietary data, and it allows the model to incorporate up-to-date and reliable information into its responses and reasoning.

Technology 113

Technology Database Data Governance Data Engineering 113

Monte Carlo

MARCH 7, 2024

Why prompt engineering isn’t all that and a bag of SQL queries Understand vector databases Create AI differentiation with RAG Find and solve real business problems High-quality data always lives up to the hype What is prompt engineering? As a data leader, you’re going to need a lot more to drive business value with AI.

Engineering 59

Engineering High Quality Data Database Architecture 59

The Modern Data Company

JULY 18, 2023

It should address specific data challenges, such as improving operational efficiency, enhancing customer experience, or driving data-driven decision-making. Data Quality and Reliability Ensuring data quality is crucial for any data product.

Data Governance 52

Data Governance High Quality Data Government Data 52

The Modern Data Company

JULY 18, 2023

It should address specific data challenges, such as improving operational efficiency, enhancing customer experience, or driving data-driven decision-making. Data Quality and Reliability Ensuring data quality is crucial for any data product.

Data Governance 52

Data Governance High Quality Data Government Data 52

dbt Developer Hub

JANUARY 23, 2023

At Tempus , a precision medicine company specializing in oncology, high quality data is a necessary component for high quality clinical models. Aggregating test failure results using Jinja macros and pre-configured metadata to pull together high level summary tables. on BigQuery.

Metadata 52

Metadata High Quality Data SQL Data Integration 52

Databand.ai

AUGUST 30, 2023

Benefits of a Data Quality Strategy Implementing a robust data quality strategy offers numerous benefits that directly impact your business’s bottom line and overall success. Additionally, high-quality data reduces costly errors stemming from inaccurate information.

Building 52

Building Data Cleanse Data Governance Datasets 52

Monte Carlo

JANUARY 5, 2024

It supports ACID transactions and can run fast queries, typically through SQL commands, directly on object storage in the cloud or on-prem on structured and unstructured data. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

It supports ACID transactions and can run fast queries, typically through SQL commands, directly on object storage in the cloud or on-prem on structured and unstructured data. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Databand.ai

AUGUST 30, 2023

To maintain data integrity, organizations implement various processes and controls, such as data validation, access controls, backups, and audits. Data validation checks help identify errors and inconsistencies in data, while access controls restrict unauthorized users from accessing or modifying data.

Data Integration 52

Data Integration Data Cleanse Data Validation Data Governance 52

Data Engineering Weekly

MARCH 3, 2024

Here is the agenda, 1) Data Application Lifecycle Management - Harish Kumar( Paypal) Hear from the team in PayPal on how they build the data product lifecycle management (DPLM) systems. 3) DataOPS at AstraZeneca The AstraZeneca team talks about data ops best practices internally established and what worked and what didn’t work!!!

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Cloudera

SEPTEMBER 20, 2022

I’m for them because I believe they have the potential to make creating art more accessible. In particular, I selfishly want creating art to be more accessible to me, but I also want to make it more accessible for others. Access — who can use it? Data — where does it come from?

Deep Learning 88

Deep Learning High Quality Data Telecommunication Systems 88

Edureka

SEPTEMBER 11, 2023

GANs, or generative adversarial networks GANs, first developed by Ian Goodfellow in 2014, comprise a Discriminator network that assesses the data and a Generator network that generates it. The generator produces high-quality data because the two networks are trained together in a game-like setting.

Algorithm 52

Algorithm Entertainment Healthcare Deep Learning 52

Ascend.io

FEBRUARY 28, 2024

While data engineering and Artificial Intelligence (AI) may seem like distinct fields at first glance, their symbiosis is undeniable. The foundation of any AI system is high-quality data. Here lies the critical role of data engineering: preparing and managing data to feed AI models.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Monte Carlo

FEBRUARY 9, 2024

“We use dbt and insight testing for our developers, and it’s way easier to spot quality issues in the code. Now, we’re looking into integrating Monte Carlo and dbt to gain access to documentation and give better access to our users – through lineage , documentation within the code, etc.”

Data 64

Data High Quality Data Architecture Coding 64

Precisely

MARCH 23, 2023

The stakes are high and there isn’t a tolerance for error. The Data Integrity Capabilities You Need for ESG Reporting Now that we’ve covered why you need to have clear, accurate, and readily accessible data to show the progress of your ESG efforts, let’s walk through a snapshot of what that means for your data management capabilities.

Data Integration 52

Data Integration Government High Quality Data Data 52

Snowflake

JULY 27, 2023

Founded in 2014, the company’s vision is to make incredible homes easily accessible to everyone. Once the data is in the warehouse, we are leveraging Snowflake’s data warehousing features to handle it. Something that is especially handy is Snowflake’s support for semi-structured data.

Data Architecture 52

Data Architecture Architecture Building Structured Data 52

Monte Carlo

JUNE 16, 2023

Data quality has broad applications across industries, but its importance and degree of quality required is also contextual to the use case. For example, in marketing, high-quality data can help businesses better understand their customers, allowing them to create more targeted and effective campaigns.

Data Integration 52

Data Integration Hospitality Banking Healthcare 52

The Modern Data Company

DECEMBER 29, 2022

And much of this involves finally harnessing data and new technologies to the fullest potential. Many of Deloitte’s Predictions Will Require Access to Real-time Data Analysis The report lists several areas where consumer demand will shift banking products. A robust understanding of potential new customers.

Banking 52

Banking Pipeline-centric Building Finance 52

RandomTrees

JANUARY 5, 2024

It’s not just about creating an algorithm that can identify people in photos or even generating new music based on what you like; it’s about making sure that AI is accessible to everyone. Testing and validation occur in controlled environments, where high-quality data gets used. What is Operationalizing AI?

Algorithm 52

Algorithm Business Analyst High Quality Data Portfolio 52

Monte Carlo

OCTOBER 4, 2022

If you are interested in obtaining a print copy for free, I encourage you to register for our upcoming IMPACT summit and keep your eyes on your inbox.

High Quality Data 52

High Quality Data Data Pipeline Media Data 52

Monte Carlo

AUGUST 31, 2023

Your downstream data consumers including product analysts, marketing leaders, and sales teams rely on data-driven tools like CRMs, CXPs, CMSs, and any other acronym under the sun to do their jobs quickly and effectively. But what happens when the data is wrong?

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Monte Carlo

MARCH 24, 2023

The key differences are that data integrity refers to having complete and consistent data, while data validity refers to correctness and real-world meaning – validity requires integrity but integrity alone does not guarantee validity. What is Data Integrity? How Do You Maintain Data Integrity?

Data Validation 52

Data Validation Data Integration Data Cleanse Data Pipeline 52

Data Engineering Podcast

JULY 16, 2021

Summary There is a wealth of tools and systems available for processing data, but the user experience of integrating them and building workflows is still lacking. Raj Bains founded Prophecy to address this need by creating a UI first platform for building and executing data engineering workflows that orchestrates Airflow and Spark.

High Quality Data 100

High Quality Data Data Engineering Data Engineer Coding 100

Precisely

APRIL 24, 2023

At the opposite end of the spectrum, an abundance of data can be overwhelming. The key to effective data-driven decisions lies in curating enough high-quality data to adequately understand the situation, factor in the important variables, and draw confident conclusions.

Retail 52

Retail Raw Data High Quality Data Banking 52

Monte Carlo

AUGUST 17, 2023

Their proprietary training system collects data on every session at a ball-by-ball level giving players the insights they need to take their training, and their game, to the next level. TOCA’s business also needs insights from high-quality data to perform at its peak.

High Quality Data 52

High Quality Data Data Data Engineering Data Engineer 52