Tableau

JUNE 13, 2022

VP, Chief Data Officer, Tableau. Editor's note: This article originally appeared in Forbes , by Wendy Turner-Williams, Chief Data Officer, Tableau. In today’s fast-paced world of competing business priorities, the capacity to enable self-service data analytics with right-sized data governance is key. Kristin Adderson.

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Alation

JUNE 14, 2023

Every organization wants to better serve its customers, and that goal is often achieved through data. Situationally, it was a really good time to deploy a data mesh architecture and its principles and invest in this space because we were doing so much tech modernization,” Lavorini says. “So So why not make data a part of it?”

Data Pipeline 52

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phData

NOVEMBER 2, 2023

Managing data pipelines efficiently is paramount for any organization. The Snowflake Data Cloud has introduced a groundbreaking feature that promises to simplify and supercharge this process: Snowflake Dynamic Tables. Automation: Dynamic tables materialize the results of a query that you specify.

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IBM Journey to AI blog

FEBRUARY 19, 2024

Data monetization empowers organizations to use their data assets and artificial intelligence (AI) capabilities to create tangible economic value. This value exchange system uses data products to enhance business performance, gain a competitive advantage, and address industry challenges in response to market demand.

AI 70

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phData

OCTOBER 9, 2023

Data vault modeling has gained significant traction in the world of data warehousing , offering a flexible and scalable approach to storing and managing enterprise data. As organizations embrace the benefits of data vault, it becomes crucial to ensure optimal performance in the underlying data platform.

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IBM Journey to AI blog

SEPTEMBER 26, 2023

Today’s constituents are interested in engaging with services using modern, consumer-friendly technologies, platforms and devices. Automate routine tasks to allow caseworkers to provide more personalized services and build relationships with families.

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phData

AUGUST 16, 2023

In the era of data modernization, organizations face the challenge of managing vast volumes of data while ensuring data integrity, scalability, and agility. In this blog, we will dive deep into the world of data warehousing and explore the advantages of combining Snowflake with the Data Vault architecture.

Data Warehouse 52

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IBM Journey to AI blog

MAY 9, 2023

Unlike traditional ML, where each new use case requires a new model to be designed and built using specific data, foundation models are trained on large amounts of unlabeled data, which can then be adapted to new scenarios and business applications. This results in both increased ROI and much faster time to market.

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IBM Journey to AI blog

AUGUST 15, 2023

Suzhou Universal Chain Technology Company (hereafter referred to as Suzhou Universal Chain) and IBM China recently announced the successful development of Suzhou Universal Chain’s enterprise application integration platform and business process automation management platform using IBM hybrid cloud and AI software.

AI 55

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The MLOps Blog

MAY 17, 2023

From data processing to quick insights, robust pipelines are a must for any ML system. Often the Data Team, comprising Data and ML Engineers , needs to build this infrastructure, and this experience can be painful. However, efficient use of ETL pipelines in ML can help make their life much easier.

ETL 59

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Iguazio

JANUARY 22, 2024

But doing so requires significant engineering, quality data and overcoming risks. GenAI / Generative AI - The methods used to generate content with algorithms. Typically, foundation models are used. For businesses and developers, this means they need to maintain a flexible approach in design strategies.

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IBM Journey to AI blog

SEPTEMBER 11, 2023

On June 7, 1983, a product was born that would revolutionize how organizations would store, manage, process , and query their data: IBM Db2. Codd published his famous paper “ A Relational Model of Data for Large Shared Data Banks.” Over the past 40 years, Db2 has been on an exciting and transformational journey.

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Database SQL Data Warehouse Machine Learning 91

IBM Journey to AI blog

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

Data Preparation 63

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phData

FEBRUARY 24, 2023

Nowadays, companies feel the need for an agile, responsive, and scalable data stack. Data must be available at the right moment for consumption and it might not be the easiest task to develop a strategy around the continuous pipelines and the integrated applications to set up your stack. What is Alteryx?

Analytics 52

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AWS Machine Learning Blog

APRIL 4, 2024

Nielsen Sports shapes the world’s media and content as a global leader in audience insights, data, and analytics. Challenges with channel video segmentation Our technology is based on artificial intelligence (AI) and specifically computer vision (CV), which allows us to track brand exposure and identify its location accurately.

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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. Because those closest to the data are best equipped to manage it capably.

Data Governance 52

Data Governance Data Engineering Data Engineer Data Engineering 52

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.

DataOps 52

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Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. It can be used for something as visual as reducing traffic jams, to personalizing products and services, to improving the experience in multiplayer video games. We would like to talk about data visualization and its role in the big data movement.

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IBM Journey to AI blog

AUGUST 4, 2023

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that. What is data democratization?

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Data Lakes AI AI Data Governance 64

The MLOps Blog

MARCH 21, 2023

From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. As the number of ML-powered apps and services grows, it gets overwhelming for data scientists and ML engineers to build and deploy models at scale.

Machine Learning 69

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phData

JULY 18, 2023

The Ultimate Modern Data Stack Migration Guide phData Marketing July 18, 2023 This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, and Sunny Yan. Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes.

Data Warehouse 52

Data Warehouse SQL Cloud Data Analytics 52

Alation

APRIL 19, 2022

Many orgs are migrating to the cloud for scalability, agility, speed and flexibility. In the cloud, enterprises can drive agile and quick decisions — and compete more effectively. Yet to realize this vision, people need access to data. Data producers and consumers alike are working from home and hybrid locations more often.

Data Governance 52

Data Governance Cloud Data Database Data Lakes 52

IBM Journey to AI blog

SEPTEMBER 25, 2023

The magic behind Uber’s data-driven success Uber, the ride-hailing giant, is a household name worldwide. But what most people don’t realize is that behind the scenes, Uber is not just a transportation service; it’s a data and analytics powerhouse. Consider the magnitude of Uber’s footprint. What is Presto?

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Alation

JANUARY 27, 2022

How do businesses transform raw data into competitive insights? Data analytics. Modern businesses are increasingly leveraging analytics for a range of use cases. Analytics can help a business improve customer relationships, optimize advertising campaigns, develop new products, and much more. What is Data Analytics?

Data Governance 52

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