Andrew White

JUNE 2, 2020

I saw two news articles today that emphasizes the role of data in our world. Both explore various public policy initiatives – one proposing a tax on data that would contribute to the monetization of data; the other on the regulation of AI algorithms to help explain their outputs. The EU is working on this too.

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Cloudera

NOVEMBER 9, 2022

As part of Cloudera’s professional services team, Timur is a senior manager of professional services strategy, serving Cloudera’s public sector customers in federal, state, and local governments, as well as higher education. . “A A large part of professional services is essentially technical consulting,” Timur explained.

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erwin

JANUARY 24, 2019

Organizations are responsible for governing more data than ever before, making a strong automation framework a necessity. In most companies, an incredible amount of data flows from multiple sources in a variety of formats and is constantly being moved and federated across a changing system landscape. Governing metadata.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

IBM Big Data Hub

MARCH 13, 2024

IBM at the B7 We are living in a watershed moment for AI: the European Parliament has just voted on the EU AI Act, which will regulate and govern the use and implications of this technology. In turn, governments and enterprises are getting ready to set their own standards around AI. What’s holding them back?

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Cloudera

MARCH 2, 2022

Stress tests conducted by authorities such as the Federal Reserve Bank in the US are designed to keenly monitor the financial stability of the banking sector, especially during economic downturns such as those brought on by the pandemic. The post Manage the Demand of Stress Testing in Financial Services appeared first on Cloudera Blog.

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AWS Big Data

JANUARY 22, 2024

The company uses AWS Cloud services to build data-driven products and scale engineering best practices. To ensure a sustainable data platform amid growth and profitability phases, their tech teams adopted a decentralized data mesh architecture. The solution Acast implemented is a data mesh, architected on AWS.

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DataRobot

OCTOBER 27, 2021

Between 2013 and 2017, job listings in 27 states rose by 11 percent while applicant numbers tumbled by 24 percent, compounding talent vacancy issues within state and local governments. Since the onset of the COVID-19 pandemic, state government’s cut employment by approximately 7 percent (approximately 1.5

Machine Learning 52

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Cloudera

AUGUST 20, 2021

How CDP Enables and Accelerates Data Product Ecosystems. A multi-purpose platform focused on diverse value propositions for data products. As a result, CDP-enabled data products can meet multiple and varying functional and non-functional requirements that correspond to product attributes, each fulfilling specific customer needs.

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Alation

FEBRUARY 8, 2022

The “data textile” wars continue! In our first blog in this series , we define the terms data fabric and data mesh. The second blog took a deeper dive into data fabric, examining its key pillars and the role of the data catalog in each. Data as a product. Federated computational governance.

Data Governance 52

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IBM Big Data Hub

OCTOBER 16, 2023

As the world continues to become a globally connected ecosystem, data fluidity has sparked national and international conversations around notions of data and digital sovereignty. First, we must understand how data sovereignty came to be. What is data sovereignty?

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Alation

NOVEMBER 23, 2021

The same could be said about data governance : ask ten experts to define the term, and you’ll get eleven definitions and perhaps twelve frameworks. However it’s defined, data governance is among the hottest topics in data management. This is the final post in a four-part series discussing data culture.

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DataRobot Blog

NOVEMBER 17, 2022

A well-designed model combined with proper AI governance can help minimize unintended outcomes like AI bias. A common concern with AI when discussing governance is bias. This is why good AI governance is so important. A fair model is one where results are measured alongside sensitive aspects of the data (e.g. In the U.S.,

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DataRobot Blog

MAY 18, 2022

airports every day according to the Federal Aviation Administration (FAA). This blog post will demonstrate how the DataRobot team applied DataRobot’s Visual AI and AutoML capabilities to rapidly build models capable of detecting firearms in bags using open-source databases of X-ray security scans. For example, approximately 2.9

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Ontotext

MAY 5, 2023

It involves specifying individual components, such as objects and their attributes, as well as rules and restrictions governing their interactions. Knowledge Representation In the context of the Financial Services Industry domain, the most popular examples of such data are entity (Who?) and product (What?).

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IBM Big Data Hub

APRIL 24, 2024

An online retailer always gets users’ explicit consent before sharing customer data with its partners. A navigation app anonymizes activity data before analyzing it for travel trends. One cannot overstate the importance of data privacy for businesses today. The user can accept or reject each use of their data individually.

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Andrew White

JANUARY 2, 2023

My actual day job is not related to researching economics; I am in our Data and Analytics team, and I have a specialization in things like business leadership roles such as Chief Data and Analytics Officers. With recession behind it, and government spending still increasing, growth will recover (but it won’t be productive growth).

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IBM Big Data Hub

OCTOBER 9, 2023

As governments around the globe continue experimenting with the use of AI, and looking into ways to tap into foundational models offered by generative AI, one important question stands out: How will citizens benefit from the technology? The public sector is called just that for a reason: the public should always be the priority.

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IBM Big Data Hub

JANUARY 18, 2023

Data platform architecture has an interesting history. A read-optimized platform that can integrate data from multiple applications emerged. In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. It is too expensive.

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Cloudera

NOVEMBER 25, 2020

I remember Matthew’s face showing mixed feelings when he explained how the pressure grew exponentially overnight. . The challenges Matthew and his team are facing are mainly about access to a multitude of data sets, of various types and sources, with ease and ad-hoc, and their ability to deliver data-driven and confident outcomes. .

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Domino Data Lab

AUGUST 6, 2021

An enterprise starts by using a framework to formalize its processes and procedures, which gets increasingly difficult as data science programs grow. With a framework and Enterprise MLOps, organizations can manage data science at scale and realize the benefits of Model Risk Management that are received by a wide range of industry verticals.

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Depict Data Studio

SEPTEMBER 24, 2019

If you’ve ever worked with publicly available government data, you probably know the headache and eye strain that comes with trying to make sense of a huge spreadsheet. In this blog post, I’m going to explain how you can easily create a customized chart that will make your federal grant data conversations a breeze.

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Visualization Data Analytics IT Management 51

Alation

MARCH 24, 2022

Is your data protected? Both data privacy and data security are critical to mitigate financial, reputational, and compliance risks for enterprises. Understanding the similarities and differences between data security and data privacy is key to establishing a more robust compliance program. What Is Data Privacy?

Data Governance 52

Data Governance Risk Data-driven Measurement 52

Depict Data Studio

JANUARY 17, 2022

Ready to tell a story with data? Here’s my definition of data storytelling , in case you missed the previous blog post. What Makes a Useful Data Story? Here are five thought-starter questions to help you uncover useful nuggets in your data. You were probably trained to approach data this way in grad school.

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Ontotext

NOVEMBER 16, 2023

Data mesh is still in its infancy, and data personas and organizations are craving clarity and specificity. It is critical to be aware of the “why” and “what” and fully understand the role that knowledge graphs play when considering adopting a data mesh strategy. The debate on what constitutes a data mesh rages on.

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Metadata Data-driven Data Quality Data Architecture 52

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Several factors are driving the adoption of knowledge graphs. million users.

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Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. The data catalog is a foundational layer of the data fabric.

Metadata 52

Metadata IT Data-driven Metrics 52

Andrew White

MAY 19, 2023

Jerome Powell and the Federal Reserve are wrestling with questions about interest rates and inflation. You might be asking yourself if you want to spend the time reading this blog. Why is this worth exploring in a blog? Let me explain. I will leave energy for a later blog. What does the data say?

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DataRobot Blog

FEBRUARY 15, 2023

For true impact, AI projects should involve data scientists, plus line of business owners and IT teams. By 2025, according to Gartner, chief data officers (CDOs) who establish value stream-based collaboration will significantly outperform their peers in driving cross-functional collaboration and value creation.

Machine Learning 52

Machine Learning Modeling Cost-Benefit Metrics 52

IBM Big Data Hub

FEBRUARY 9, 2024

But the most impactful developments may be those focused on governance, middleware, training techniques and data pipelines that make generative AI more trustworthy , sustainable and accessible, for enterprises and end users alike. iii] “AI models haven’t had that kind of data before.

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datapine

DECEMBER 28, 2021

Statistics are infamous for their ability and potential to exist as misleading and bad data. Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! To get this journey started let’s look at the misleading statistics definition.

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IBM Big Data Hub

MAY 14, 2024

These AI leaders are responsible for developing a blueprint for AI adoption and oversight both in companies and the federal government. “Consider safety, inclusivity, trustworthiness and governance from the beginning.” Choose smaller models whose cost and behavior may be governed.

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AWS Big Data

NOVEMBER 13, 2024

This second post of a two-part series that details how Volkswagen Autoeuropa , a Volkswagen Group plant, together with AWS, built a data solution with a robust governance framework using Amazon DataZone to become a data-driven factory. Next, we detail the governance guardrails of the Volkswagen Autoeuropa data solution.

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AWS Big Data

DECEMBER 11, 2024

Organizations are building data-driven applications to guide business decisions, improve agility, and drive innovation. Many of these applications are complex to build because they require collaboration across teams and the integration of data, tools, and services. The following screenshot illustrates the SageMaker Unified Studio.

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Ontotext

NOVEMBER 11, 2024

Knowledge graphs, while not as well-known as other data management offerings, are a proven dynamic and scalable solution for addressing enterprise data management requirements across several verticals. Organizations already know the data they need to manage is too diverse, dispersed, and at volumes unfathomable only a decade ago.

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Cloudera

NOVEMBER 30, 2023

Given the resulting hype, not to mention the exponentially increasing value proposition to help drive innovation and advance government agency missions, President Biden’s October 2023 Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence was very timely.

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