Snowflake

JUNE 28, 2023

This empowers organizations to break free from the burdensome task of spinning up and managing complex standalone systems operating outside of Snowflake’s governance boundary. Python Unstructured Data Processing (PuPr) – Unstructured data processing is now natively supported with Python.

Python 52

Python Accessible Accessibility Pipeline-centric 52

Snowflake

MARCH 7, 2024

How do Gen AI/LLMs “democratize” access to insights? 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. Democratization also carries risk, though.

Unstructured Data 83

Unstructured Data Government Data Architecture Architecture 83

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 83

Unstructured Data Government Portfolio Insurance 83

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

Snowflake

OCTOBER 26, 2023

But while the potential is theoretically limitless, there are a number of data challenges and risks HCLS executives need to be aware of when using AI that can create new content. Here’s how the right data strategy can help you get past the hazards and hurdles to implementing gen AI.

Healthcare 84

Healthcare Unstructured Data High Quality Data Medical 84

Snowflake

NOVEMBER 1, 2023

For organizations to fully capitalize on this potential, it’s critical that everyone — not just those with AI expertise — is able to access and use generative AI. With just a single line of SQL or Python, analysts can instantly access specialized ML and LLM models tuned for specific tasks. These functions include the ones listed below.

Unstructured Data 106

Unstructured Data SQL Python Accessible 106

Cloudera

FEBRUARY 15, 2024

Risk management and governance: Regulators are increasingly focusing on risk governance, risk sustainability, and the detection, mitigation, tracking, and remediation of threat actors. Financial institutions must demonstrate robust risk accountability and governance, as well as maintain consumer protections.

Insurance 85

Insurance Banking Data Architecture Data Ingestion 85

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 88

Government Education Unstructured Data Datasets 88

Snowflake

SEPTEMBER 19, 2023

Why AI has everyone’s attention, what it means for different data roles, and how Alteryx and Snowflake are bringing AI to data use cases There’s a llama on the loose! With all the hoopla around AI, there’s a lot to get up to speed on—especially the implications this technology has for data analytics.

Machine Learning 95

Machine Learning Unstructured Data Data Analytics Government 95

Knowledge Hut

APRIL 23, 2024

They also facilitate historical analysis, as they store long-term data records that can be used for trend analysis, forecasting, and decision-making. Big Data In contrast, big data encompasses the vast amounts of both structured and unstructured data that organizations generate on a daily basis.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

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

SEPTEMBER 7, 2023

We are excited to announce the public preview of External Access, which enables customers to reach external endpoints from Snowpark seamlessly and securely. With this announcement, External Access is in public preview on Amazon Web Services (AWS) regions.

Amazon Web Services 118

Amazon Web Services AWS Government Python 118

Precisely

MAY 13, 2024

The right data integration solution helps you streamline operations, enhance data quality, reduce costs, and make better data-driven decisions. A data catalog is a foundational component of any data strategy, providing a go-to knowledge base of data for users across an enterprise.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

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.

Datasets 98

Datasets Machine Learning Deep Learning Finance 98

Cloudera

OCTOBER 5, 2023

Here are five challenges that you need to overcome to become a data leader: Bad data governance Your insights are only as good as your data. If your data is full of errors, missing information and duplications, then your results will not be accurate. Data now becomes a product.

Data Governance 81

Data Governance Unstructured Data Government High Quality Data 81

Monte Carlo

MAY 14, 2024

Depending on the quantity of data flowing through an organization’s pipeline — or the format the data typically takes — the right modern table format can help to make workflows more efficient, increase access, extend functionality, and even offer new opportunities to activate your unstructured data.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Cloudera

MARCH 17, 2023

The one key component that is missing is a common, shared table format, that can be used by all analytic services accessing the lakehouse data. The table format provides the necessary structure for the unstructured data that is missing in a data lake, using a schema or metadata definition, to bring it closer to a data warehouse.

Education 62

Education Unstructured Data Data Lake Data Warehouse 62

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

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

Snowflake

NOVEMBER 29, 2023

In medicine, lower sequencing costs and improved clinical access to NGS technology has been shown to increase diagnostic yield for a range of diseases, from relatively well-understood Mendelian disorders, including muscular dystrophy and epilepsy , to rare diseases such as Alagille syndrome.

Metadata 84

Metadata Healthcare Medical Data Storage 84

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 91

Data Lake Data Warehouse Cloud Unstructured Data 91

Snowflake

JUNE 27, 2023

Additional pruning features, now GA, help reduce the need to scan across entire data sets, thereby enabling faster searches. To help customers more easily analyze the structure of expensive queries and identify operators that cause performance problems, we will soon be making Programmatic Access to Query Profile available in GA.

Data Governance 57

Data Governance Unstructured Data Government SQL 57

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.

IT 109

IT Unstructured Data Data Architecture Government 109

U-Next

MARCH 12, 2023

As long as a device is equipped with the internet, it can access the data and software programs required to run them. A web data center server’s hardware and operating system are called a “cloud platform.” Customers with an Azure subscription get access to all the services offered through the Azure site.

Cloud Computing 75

Cloud Computing Unstructured Data Cloud Government 75

The Modern Data Company

MAY 8, 2023

One of the most interesting features of a data lake is the “schema-on-read” principle, which means the data schema (the structure and organization of the data) is applied when the data is read or accessed rather than stored. This feature allows for a more flexible exploration of data.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

One of the most interesting features of a data lake is the “schema-on-read” principle, which means the data schema (the structure and organization of the data) is applied when the data is read or accessed rather than stored. This feature allows for a more flexible exploration of data.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

One of the most interesting features of a data lake is the “schema-on-read” principle, which means the data schema (the structure and organization of the data) is applied when the data is read or accessed rather than stored. This feature allows for a more flexible exploration of data.

Data Management 52

Data Management Data Lake Management Data Governance 52

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 57

Unstructured Data Manufacturing Insurance Government 57

Cloudera

OCTOBER 26, 2020

Just like when it comes to data access in business. Enabling data access for end-users so they can drive insight and business value is a typical area of compromise between IT and users. Data access can either be very secure but restrictive or very open yet risky. Quickly onboard data.

Data Security 117

Data Security IT Unstructured Data Government 117

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. Customer data come in numerous formats.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Cloudera

JANUARY 28, 2022

Then there are the more extensive discussions – scrutiny of the overarching, data strategy questions related to privacy, security, data governance /access and regulatory oversight. These are not straightforward decisions, especially when data breaches always hit the top of the news headlines.

Cloud 112

Cloud Banking Data Governance Government 112

Cloudera

SEPTEMBER 12, 2022

Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making. And second, for the data that is used, 80% is semi- or unstructured. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse.

Unstructured Data 73

Unstructured Data Data Lake Data Architecture Data 73

Data Engineering Weekly

MARCH 3, 2024

This approach led to a successful expansion of Copilot access across the engineering team, resulting in a significant increase in productivity and adoption, demonstrating a commitment to enhancing developer experience while maintaining safety and security standards. link] Martin Chesbrough: How to Build a Modern Data Team?

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Towards Data Science

AUGUST 10, 2023

Here are some current and likely ways generative AI is contributing value to organizations and data teams both today and in the near future. #1- 1- Increasing data accessibility The lowest hanging fruit for generative AI within the world of data? There’s plenty of unstructured data in the world.

IT 82

IT Unstructured Data SQL BI 82

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