Alation

FEBRUARY 12, 2021

Data culture is top of mind for nearly every data leader. According to a recent Gartner survey , data culture was the #1 priority for chief data officers (CDOs). McKinsey, the management consulting firm known for its deep knowledge of the C-suite, is writing about data culture and why it matters.

Data-driven 59

Data-driven Data Governance Software Statistics 59

Smart Data Collective

DECEMBER 8, 2020

Big data has had many beneficial changes in our lives, but it has also heightened our concerns about privacy. Some of these concerns can be addressed with VPNs, which are an important gatekeeper for privacy in a world governed more by big data. Why it’s essential to protect your online data. Identity theft.

Big Data 111

Big Data Data-driven Software Statistics 111

Smart Data Collective

FEBRUARY 16, 2021

Big data has shed some important insights on a number of facets of modern organizational functions. One of the areas that has been shaped by big data is cybersecurity. We have talked about the importance of using big data to strengthen cybersecurity by creating more robust defenses. The ransomware explosion. Fully 83.1%

Big Data 121

Big Data Data-driven Risk Reporting 121

Sisense

JANUARY 14, 2021

Especially when dealing with business data, trust in the figures is an essential element of every transaction. A reputation for stability and accuracy is critical in the fintech industry, dealing as it does with sensitive, high-impact data and security challenges. For analytics teams, trust is hard to gain and easy to lose.

Dashboards 85

Dashboards Testing Business Intelligence Interactive 85

O'Reilly on Data

FEBRUARY 18, 2020

It’s also the data source for our annual usage study, which examines the most-used topics and the top search terms. [1]. This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Security is surging. to be wary of.

Data-driven 331

Data-driven Software Statistics Marketing 331

Smart Data Collective

JULY 1, 2021

AI technology helps in the right, so all companies should use AI-driven cybersecurity measures to protect against it. At its most basic level, ransomware is simply a type of malware that encrypts your files and data. Essentially, they’re holding your data for ransom, hence the name of this particular threat.

Technology 82

Technology Machine Learning Statistics Data-driven 82

O'Reilly on Data

APRIL 19, 2021

During the first weeks of February, we asked recipients of our Data & AI Newsletter to participate in a survey on AI adoption in the enterprise. The second-most significant barrier was the availability of quality data. Relatively few respondents are using version control for data and models. Respondents.

Enterprise 353

Enterprise Modeling Risk Manufacturing 353

Alation

FEBRUARY 20, 2020

For those of us who champion the power of data, the past five years have been an incredible ride thanks to the rise of big data. Of course, data hasn’t accomplished any of this. Data isn’t the protagonist in any of the stories above. People use data. Humans are. Consumption Requires Context.

Big Data 52

Big Data Data-driven Statistics Metrics 52

Jen Stirrup

JUNE 20, 2020

In this post, I want to analyse the current PASS situation, explain some broader context, and give people a more data-driven view. I hope that this leads to a calmer discussion by providing additional information and data. I want to help by providing data and insights on the recent PASS row online. Current Ratio.

Metrics 104

Metrics Business Analytics Data-driven Statistics 104

O'Reilly on Data

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Given the cost of equipping a data center with high-end GPUs, they probably won’t attempt to build their own infrastructure. Few nonusers (2%) report that lack of data or data quality is an issue, and only 1.3%

Enterprise 267

Enterprise Modeling Testing Reporting 267

Business Over Broadway

JANUARY 20, 2019

Analysis of usage patterns of 16 data science programming languages by over 18,000 data professionals showed that programming languages can be grouped into a smaller set (specifically, 5 groupings). Data scientists and machine learning engineers rely on programming languages to help them get insights from data.

Machine Learning 79

Machine Learning Data Science Data-driven Statistics 79

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. Modeling live experiment data Data scientists at YouTube are rarely involved in the analysis of typical live traffic experiments.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Occam's Razor

JULY 24, 2018

The result is analytical strategies that are uninformed by reality, and driven new tool features, random expert recommendations and shiny objects ( OMG we have to get offline attribution! ). Diving a bit deeper into the x-axis… While most data can be collected in real-time now, not all metrics are useful in real-time.

Analytics 93

Analytics Metrics Strategy Measurement 93

Alation

JULY 7, 2022

Alation launched the Data Intelligence Project in the summer of 2021 to train the next generation of data leaders. With Alation, students learn the critical skills they need to curate, govern, and discover data assets in the data-driven enterprises of today. Two data-driven careers.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction. Ever heard of it before?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. But looking through the blogosphere, some go further and posit that “platformization” of forecasting and “forecasting as a service” can turn anyone into a data scientist at the push of a button.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Peter James Thomas

AUGUST 12, 2018

These normally appear at the end of an article, but it seemed to make sense to start with them in this case: Recently I published Building Momentum – How to begin becoming a Data-driven Organisation. A number of factors can play into the accuracy of data capture. Honesty of Data that is captured. Timing issues with Data.

Metrics 49

Metrics Statistics Data Quality Measurement 49

datapine

NOVEMBER 19, 2019

No matter if you need to conduct quick online data analysis or gather enormous volumes of data, this technology will make a significant impact in the future. Currently, popular approaches include statistical methods, computational intelligence, and traditional symbolic AI.

Technology 279

Technology Internet of Things IT IoT 279

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?

Cost-Benefit 66

Cost-Benefit Data Governance Risk Data-driven 66

Data Science and Beyond

OCTOBER 15, 2017

Aspiring data scientists and other visitors to this site often repeat the same questions. How do I become a data scientist? Before we get into it, have you thought about why you want to become a data scientist? Why should I become a data scientist? Do you know what data science is? It depends on your situation.

Data Science 71

Data Science Deep Learning Machine Learning Data-driven 71

Domino Data Lab

MAY 8, 2019

For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. 2018-06-21). ML model interpretability and data visualization.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Peter James Thomas

APRIL 9, 2019

Despite starting to write this piece on 18 th December 2018, I have somehow sneaked into the second quarter before getting round to completing it. Anyway, 2018 was a record-breaking year for peterjamesthomas.com. These are as follows: General Data Articles. Data Visualisation. Statistics & Data Science.

Data-driven 49

Data-driven Statistics Big Data Data Science 49

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361