Hacker News

FEBRUARY 11, 2024

Discover Basic Agile: prioritising adaptability, empowering self-organising teams, embracing uncertainty for efficient, customer-centric results

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The Data Administration Newsletter

APRIL 3, 2024

In the first article of this series, I laid out the basic premise for this series: an examination of how Agile has gone from the darling of the application development community to a virtual pariah that nobody wants to be associated with, and an exploration of the very important question of what we should replace […]

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Data Governance 59

SAS Software

MARCH 29, 2024

The post Improving Our Agility appeared first on SAS Blogs. SAS SVP Kimberly May provides an update about the new Support Operating Model.

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Flipboard

JANUARY 8, 2024

Combining AI with Agile development practices has the potential to supercharge software design and development processes. The Agile movement -- which …

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Smart Data Collective

JUNE 1, 2022

Agile technology has been a very important part of the software development process. AI has helped create SCRUM teams to improve Agile development , but the same technology has in turn helped create new AI applications as well. Guidelines on Using Agile to Create AI Applications. Agile groups work at a fast pace.

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Dataversity

JULY 8, 2022

For software developers, the agile methodology is not a new concept – it’s been around for decades in one form or another. In 2001, a group of individuals wrote The Agile Manifesto, outlining 12 guiding principles for the agile methodology and cementing the practice in the industry.

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Hacker News

JUNE 21, 2023

Agile is "just" four principles. Simple, right?

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Smart Data Collective

AUGUST 9, 2022

Agile helps with making the software development process faster and maintaining the quality of software. However, Agile technology defies this rule of thumb, especially when developers leverage big data effectively. Agile helps improve the quality of the work being done. Below are the things to consider: 1. Categorizing data.

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Smart Data Collective

SEPTEMBER 27, 2022

As a result, manufacturers need to be more agile than ever, and most struggle to keep up. Agility Is Important at Every Stage of Manufacturing. Agility is an essential quality at every stage of manufacturing. Agility Begins In the Cloud. Cloud technology is among the biggest changes. Reliable and Trusted Security.

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Flipboard

JULY 12, 2023

In a data science project, you typically have the following management tools: Waterfall, Agile, and Hybrid Methodology. In this blog, in particular, we will focus on Agile.

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Data Science 71

Dataversity

FEBRUARY 16, 2023

The topic of agile transformation is emerging, either driven “bottom-up” from product leaders or “top-down” by C-level executives. I will summarize the results of such a transformation […] The post The Realities of Agile Transformation appeared first on DATAVERSITY.

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Data Governance 52

Adrian Bridgwater for Forbes

JULY 5, 2023

Because we run cloud in such a virtualized and abstracted space, the quest for system observability and monitoring is always on.

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Dataversity

OCTOBER 25, 2021

The word “agile” is defined in one dictionary as “quick and well-coordinated in movement; lithe.” The post The Connection Between Good Data Management and Enterprise Agility appeared first on DATAVERSITY. Click to learn more about author Russ Ernst.

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Data Lakes 98

GreyCampus

SEPTEMBER 6, 2022

Get Your Disciplined Agile Certifications The Disciplined Agile (DA) process-decision toolkit provides simple guidance to assist individuals, teams, and organizations in streamlining their processes in a context-sensitive manner, laying the groundwork for business agility.

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KDnuggets

OCTOBER 31, 2019

Learn how to approach the challenges when merging an agile methodology into a data science team to bring out the best value your Big Data products.

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Dataversity

NOVEMBER 18, 2022

The post Achieving Digital Resiliency and Agility with Organizational Change Management appeared first on DATAVERSITY. The biggest challenge that companies face today is managing through […].

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Dataversity

OCTOBER 28, 2022

However, the advent of agile data warehouse architecture has truly transformed how enterprises build their data architecture and enable business intelligence. In essence, agile […]. The post Developing Agile Data Warehouse Architecture Using Automation appeared first on DATAVERSITY.

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Data Science Connect

JULY 25, 2023

These platforms empower both developers and non-developers to create applications swiftly and efficiently, ushering in a new era of cost savings and agility in the development process. Enhanced Agility and Faster Time-to-Market In the digital age, businesses must respond swiftly to changing market dynamics.

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Smart Data Collective

NOVEMBER 19, 2020

Over the last 15-20 years, Agile has either fully or partly been incorporated into most companies. The reason is that Agile project management practices really work and are proven effective. Research published by Techliance shows that 98% of companies have used Agile and its effectiveness is around 30% higher than Waterfall.

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Hacker News

APRIL 26, 2020

In the October issue of IEEE Computer magazine, there was an article by Kent Beck called “Embracing change with extreme programming” In it, he outlined Extreme Programming (XP), which includes much of what we now refer to as agile development. Today, it seems to me that agile won. Conclusion.

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Analytics Vidhya

APRIL 24, 2024

Not only do they require less computational power, but they also allow for rapid deployment and agile testing. […] The post 5 Compact Hugging Face Models for Running Locally appeared first on Analytics Vidhya.

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Dataversity

JULY 13, 2022

To harvest the latest data and get the best intelligence to guide decision-making requires an agile business process management (BPM) architecture. The post Enabling Agile BPM with an Adaptive Architecture appeared first on DATAVERSITY. Different BPM platforms use a variety […].

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insideBIGDATA

SEPTEMBER 1, 2023

By understanding how to harness and consolidate data from disparate sources, businesses can make informed decisions with a newfound agility. Data Blending' positions businesses at the frontier of data analytics.

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KDnuggets

NOVEMBER 28, 2019

Sebastian Thrun, the founder of Udacity, ruined my machine learning project and wedding.

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Dataconomy

MARCH 15, 2019

The post How Agile Cloud Solutions Can Upgrade On-Prem Performance: The BI Business Case? But once achieved, they find managing data in a hybrid environment a challenge. This is when metadata management becomes more important than ever. Cloud vs. on-premises? It’s one of those topics that you hear broached at.

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The Data Administration Newsletter

MARCH 16, 2021

Agile teams are being governed, and often not governed well. That is because agile teams work in a much different manner than teams working in a traditional manner. The implication is that agile teams must be governed in an agile manner. All teams, regardless of their approach, deserve to be governed well.

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The Data Administration Newsletter

MARCH 2, 2021

This article attempts to analyze and make sense of a harmonization between Information Architecture and SAFe, and will address how their cooperation will contribute to the development of an Agile Business. SAFe is a very modern Agile Framework and has replaced TOGAF in many organizations.

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Business Intelligence Business Intelligence 59

KDnuggets

NOVEMBER 9, 2023

The author, discusses the value of low code/no code platforms backed by AI in promoting faster development times and increased business agility. Time is the one thing developers can never get back.

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The Data Administration Newsletter

FEBRUARY 2, 2021

An important, yet seldom discussed topic is: How to govern agile teams? This is rather strange considering that agile teams are in fact being governed, whether you choose to recognize this or not. If someone is keeping an eye on the budget, or the level of quality being produced, or if you are producing something […].

Data Governance 52

Data Governance 52

SAS Software

APRIL 7, 2023

From surviving to thriving: The importance of speed and agility in resilient businesses was published on SAS Voices by Udo Sglavo By building resiliency, organizations can adapt to changing circumstances, maintain stability and minimize damage from unexpected events. [.]

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Dataversity

FEBRUARY 8, 2021

The post Dear Laura: Agile Data Governance appeared first on DATAVERSITY. As I’ve been working to challenge the status quo on Data Governance, I get a lot of questions about how it will “really” work. I’ll be sharing these questions and answers via this DATAVERSITY® series. Last year I wrote the […].

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Dataconomy

DECEMBER 2, 2022

Cloud automation can help reduce mistakes and errors and take away the monotony of doing the same things over and over again. Cloud automation is encouraged by good cloud infrastructure. One of the primary drivers for putting it into practice is actually this. Even though cloud computing has been a.

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Cloud Computing 193

Eugene Yan

FEBRUARY 1, 2019

Taking the best from agile and modifying it to fit the data science process (Part 2 of 2).

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Data Science 100

Dataversity

FEBRUARY 8, 2022

Every generation of data infrastructure technology has promised more speed and agility, or better standardization, centralization, and control. The post How to Combine Agility and Control with Data Convergence appeared first on DATAVERSITY. Essentially, […].

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Precisely

JANUARY 3, 2023

With all these results and more pointing to the ultimate goal of agility, resiliency, and digital transformation, where do organizations begin to strategize? The post 4 Tips for Agility and Resiliency Through Supply Chain Process Automation appeared first on Precisely.

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Hacker News

FEBRUARY 16, 2024

What the * does that mean?

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Dataversity

FEBRUARY 8, 2021

The post Remote IT Work Encourages New Agile Approach appeared first on DATAVERSITY. That is because IT workers have shown that they are at least as productive remotely, perhaps more so. Also, the advantages of going remote are just too compelling: Companies can now access […].

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