Snowflake

FEBRUARY 6, 2024

Data marts built to serve specific analytic purposes perpetuated the distributed nature of data. The first step to breaking down internal silos is to establish enterprise-wide data repositories and governance policies that streamline and facilitate appropriate access.

Unstructured Data 95

Unstructured Data Retail Data Manufacturing 95

Snowflake

APRIL 20, 2023

From inception, Snowflake has had a clear focus on security and governance of data by bringing compute to the data as opposed to creating new copies and additional silos. Figure 1: Visual Question Answering Challenge data types and results.

Building 113

Building Unstructured Data Government Coding 113

Snowflake

MARCH 7, 2024

Compared to traditional AI models, generative AI/LLMs provide a significant uplift in tackling the wealth of unstructured data that make up things such as loan agreements, claims agreements, underwriting documents and the like. How do Gen AI/LLMs “democratize” access to insights? Democratization also carries risk, though.

Unstructured Data 78

Unstructured Data Government Data Architecture Architecture 78

The Modern Data Company

JANUARY 22, 2024

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

The Modern Data Company

JANUARY 22, 2024

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.

Data Integration 87

Data Integration Metadata Government Unstructured Data 87

Snowflake

JANUARY 8, 2024

While the possibilities of gen AI and large language models (LLMs) are limitless, there are several data challenges and risks financial executives need to be aware of when implementing AI that generates original content. Access to high-quality source data, strong governance controls and robust security are paramount.

Unstructured Data 77

Unstructured Data Government Portfolio Insurance 77

Snowflake

OCTOBER 26, 2023

Gen AI can also analyze unstructured data sets, such as clinical notes, diagnostic imaging and recordings and provide evidence-based recommendations. When the structured and unstructured data is in one place, it’s easier to develop and enforce firm quality control standards and establish validation protocols for AI-generated content.

Healthcare 79

Healthcare Unstructured Data High Quality Data Medical 79

Cloudera

DECEMBER 19, 2023

Earlier this month, I had the opportunity to lead a roundtable discussion at the PSN Government Innovation show ( 2023 Government Innovation Show – Federal – Public Sector Network ) in Washington, DC. I’ll highlight some key insights and takeaways from my conversations in the paragraphs that follow. The underlying reason?

Government 85

Government Education Unstructured Data Datasets 85

Precisely

MARCH 7, 2024

Yet experts warn that without proactive attention to data quality and data governance, AI projects could face considerable roadblocks. AI technology can ingest and synthesize large volumes of both structured and unstructured data very quickly, offering claims guidance that helps adjusters to better assess cases.

Insurance 72

Insurance Process Medical Data Governance 72

Knowledge Hut

APRIL 26, 2024

So, you may have tons and tons of data that represents a particular problem. Datasets may also be confidential as they may contain sensitive information pertaining to a product, organization or government. Data is not available in a specific format. The datasets for the public Government are as follows.

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Datasets Machine Learning Deep Learning Finance 98

Precisely

APRIL 30, 2024

Even with all of the technological advances introduced over the past few decades, many of the data creation and management processes used by businesses today are highly manual – meaning they’re slow, ungoverned, and error-prone. These include: Structured data dependence: RPA solutions thrive on well-organized, predictable data.

Unstructured Data 59

Unstructured Data Government Data Validation Programming 59

Snowflake

SEPTEMBER 19, 2023

AI unlocks new data use cases. With the ability to handle unstructured data types and larger volumes of data, AI gives us the tools to tackle more complex, exciting problems. But now this enables a newer kind of insights from all this unstructured data that has been untapped so far.

Machine Learning 87

Machine Learning Unstructured Data Data Analytics Government 87

Snowflake

JANUARY 25, 2024

It’s essential for organizations to leverage vast amounts of structured and unstructured data for effective generative AI (gen AI) solutions that deliver a clear return on investment. Data security and governance aren’t the only reasons leading organizations will take this approach.

Healthcare 81

Healthcare Hospitality Electronics Medical 81

Snowflake

NOVEMBER 1, 2023

They can also use and leverage Snowflake’s unified governance framework to seamlessly secure and manage access to their data. Cost-effective LLM-based models that are great for working with unstructured data: Answer Extraction (in private preview): Extract information from your unstructured data.

Unstructured Data 97

Unstructured Data SQL Python Accessible 97

Knowledge Hut

APRIL 23, 2024

With the advent of technology and the arrival of modern communications systems, computer science professionals worldwide realized big data size and value. As big data evolves and unravels more technology secrets, it might help users achieve ambitious targets. Top 10 Disadvantages of Big Data 1.

Big Data 52

Big Data Media Government Big Data Skills 52

Cloudera

AUGUST 4, 2021

By capturing and analyzing this data, agencies can learn how external forces are affecting fleet operation, including everything from weather, terrain, and loading to operator actions such as hard acceleration or braking. Cloudera is foundational in how we track and govern our data.” .

Unstructured Data 98

Unstructured Data Data Ingestion Government Machine Learning 98

Cloudera

MARCH 17, 2023

When implementing a data lakehouse, the table format is a critical piece because it acts as an abstraction layer, making it easy to access all the structured, unstructured data in the lakehouse by any engine or tool, concurrently. Features are not the only way of deciding which is a better table format.

Education 60

Education Unstructured Data Data Lake Data Warehouse 60

Snowflake

JUNE 27, 2023

Supporting mission criticality with enhanced native data governance, new Snowflake UIs, a growing compliance footprint, and updated cross-cloud business continuity At Snowflake, we’re committed to providing best-in-class native data governance features for customers entrusting our platform with their data.

Data Governance 55

Data Governance Unstructured Data Government SQL 55

The Modern Data Company

MAY 8, 2023

Potential downsides of data lakes include governance and integration challenges. Data lakes often lack robust data governance, leading to data quality, consistency, and security issues. Data Lakehouse: Bridging Data Worlds A data lakehouse combines the best features of data lakes and data warehouses.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

Potential downsides of data lakes include governance and integration challenges. Data lakes often lack robust data governance, leading to data quality, consistency, and security issues. Data Lakehouse: Bridging Data Worlds A data lakehouse combines the best features of data lakes and data warehouses.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

Potential downsides of data lakes include governance and integration challenges. Data lakes often lack robust data governance, leading to data quality, consistency, and security issues. Data Lakehouse: Bridging Data Worlds A data lakehouse combines the best features of data lakes and data warehouses.

Data Management 52

Data Management Data Lake Management Data Governance 52

Cloudera

JUNE 7, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

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IT Unstructured Data Data Architecture Government 106

Data Engineering Weekly

MARCH 3, 2024

link] AWS: Data governance in the age of generative AI The AWS Big Data Blog discusses the importance of data governance in the age of generative AI, emphasizing the need for robust data management strategies to ensure data quality, privacy, and security across structured and unstructured data sources.

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Snowflake

SEPTEMBER 7, 2023

Users can now easily connect to external network locations from their Snowpark code (UDFs/UDTFs and Stored Procedures) while maintaining high security and governance over their data. Partners and customers, like Airbyte and Snowflake’s internal data engineering team, are already benefiting from External Access in their workflows.

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Amazon Web Services AWS Government Python 111

Snowflake

NOVEMBER 2, 2023

Use cases change, needs change, technology changes – and therefore data infrastructure should be able to scale and evolve with change. We’re committed to giving customers a choice and the ability to adapt while maintaining our core tenets of strong security and governance, excellent performance and simplicity.

Data Lake 84

Data Lake Data Warehouse Cloud Unstructured Data 84

U-Next

MARCH 12, 2023

Which of the following is appropriate for managing governance across many Azure subscriptions? With the help of Azure Policy and Azure RBACs, each management group can have specific governance requirements applied to it in order to manage Azure subscriptions efficiently. Azure Initiatives B. Management Groups C.

Cloud Computing 75

Cloud Computing Unstructured Data Cloud Government 75

Snowflake

APRIL 10, 2023

The platform pushes the boundaries of natural language processing (NLP) with a diverse, rapidly expanding (and almost limitless) number of use cases that extends from automotive manufacturing and chemicals to HR, insurance, legal, finance, and government. It also includes specific models for language combinations.

Unstructured Data 55

Unstructured Data Manufacturing Insurance Government 55

Knowledge Hut

DECEMBER 26, 2023

Importance of Big Data Companies Big Data is intricate and can be challenging to access and manage because data often arrives quickly in ever-increasing amounts. Both structured and unstructured data may be present in this data. Microsoft's Big Data strategy is broad and expanding rapidly.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

Cloudera

JULY 29, 2021

We also expect topics such as interoperability, social determinants of health, advanced analytics, economics, security and governance, and leadership to take top billing at the conference this year. . Security and governance in a hybrid environment. Public, private, hybrid or on-premise data management platform. Meet with us.

Healthcare 99

Healthcare Unstructured Data Government Machine Learning 99

Knowledge Hut

APRIL 23, 2024

Example of Data Variety An instance of data variety within the four Vs of big data is exemplified by customer data in the retail industry. Customer data come in numerous formats. It can be structured data from customer profiles, transaction records, or purchase history.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Monte Carlo

JANUARY 16, 2024

Data lake and data warehouse convergence The data lake vs data warehouse question is constantly evolving. The maxim that data warehouses hold structured data while data lakes hold unstructured data is quickly breaking down. How will data governance be handled?

Data Lake 52

Data Lake Data Warehouse Unstructured Data AWS 52

Cloudera

OCTOBER 26, 2020

Not a day goes by without virtual conversations, creating masses of unstructured data. To be able to capitalize on this data storm, organizations must find a better balance between the security and usability related to data access. Eliminate compromise with Cloudera Shared Data Experience.

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Data Security IT Unstructured Data Government 116

Snowflake

DECEMBER 14, 2023

At a recent event in Geneva, one global shipping company described how an internally trained AI-assistant improved response times for customer requests by extracting structured information from unstructured data. Affinity Bias Data diversity. The shipper gets requests to transport goods from origin to destination.

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Pharmaceutical Food Government Transportation 92

Snowflake

NOVEMBER 29, 2023

While the former can be solved by tokenization strategies provided by external vendors, the latter mandates the need for patient-level data enrichment to be performed with sufficient guardrails to protect patient privacy, with an emphasis on auditability and lineage tracking.

Healthcare 77

Healthcare Metadata Medical Data Storage 77

The Modern Data Company

JUNE 26, 2023

Strong data governance is essential Risks and challenges associated with using customer data–such as concerns around privacy and security–can derail insights. It enables users to define clear policies for data usage and authorized access and to meet regulatory compliance requirements such as GDPR.

Retail 52

Retail Government Data Governance Unstructured Data 52

The Modern Data Company

JUNE 26, 2023

Strong data governance is essential Risks and challenges associated with using customer data–such as concerns around privacy and security–can derail insights. It enables users to define clear policies for data usage and authorized access and to meet regulatory compliance requirements such as GDPR.

Retail 52

Retail Government Data Governance Unstructured Data 52

The Modern Data Company

JUNE 26, 2023

Strong data governance is essential Risks and challenges associated with using customer data–such as concerns around privacy and security–can derail insights. It enables users to define clear policies for data usage and authorized access and to meet regulatory compliance requirements such as GDPR.

Retail 52

Retail Government Data Governance Unstructured Data 52