The Data Administration Newsletter

APRIL 3, 2024

If you read trade or industry journals or business publications, you have probably noticed that the subject of the citizen data scientist is fraught with controversy.

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DataRobot Blog

JULY 9, 2019

To retain market leadership in the algorithm economy, enterprises require new ways to maximize the value of data and AI with citizen data scientists. Don’t think citizen data science is. by Jen Underwood. Read More.

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DataRobot

APRIL 6, 2020

If you’re a regular reader of the DataRobot blog, you likely fall into one of two categories. You also might be a citizen data scientist – someone who is proficient with data and analytics tools like Excel or Tableau and wants to incorporate data science into your analysis (even though you haven’t had formal training like a data scientist).

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SAS Software

JULY 24, 2023

이전에 포스팅했던 시민 데이터 사이언티스트(Citizen Data Scientist, 이하 CDS)에 대한 블로그에서 CDS가 갖춰야 할 기본 역량이 Data Literacy(한글로는 데이터 문해력으로 번역/이하 데이터 문해력)라고 소개했었습니다. The post 데이터 문해력과 시민 데이터 사이언티스트의 필요 역량 appeared first on SAS Blogs.

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IBM Journey to AI blog

MAY 20, 2024

The answer lies in the data used to train these models and how that data is derived. In this blog post, we will explore the importance of lineage transparency for machine learning data sets and how it can help establish and ensure, trust and reliability in ML conclusions.

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Dataversity

APRIL 21, 2023

“The democratization of data science” or the “democratization of AI” have long been popular buzz phrases. Citizen data scientists” poke through open-source datasets finding valuable insights and sharing them with the world out of an individual sense of curiosity.

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Dataversity

JANUARY 20, 2023

Not all that long ago, the only way for businesses to readily access their data was through dashboards. And, even then, these predefined and static dashboards provided data that was restricted only to citizen data scientists and data analysts.

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DataRobot Blog

JULY 22, 2022

Aimed at citizen data scientists, these tools are expected to dramatically increase the number of models that organizations put into future production and need to continuously monitor. If the developers are no longer with the company, reverse engineering will be necessary to understand what they did and why. Future Models.

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AWS Machine Learning Blog

OCTOBER 10, 2023

Launched in 2021, Amazon SageMaker Canvas is a visual, point-and-click service that allows business analysts and citizen data scientists to use ready-to-use machine learning (ML) models and build custom ML models to generate accurate predictions without the need to write any code.

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AWS Machine Learning Blog

NOVEMBER 2, 2023

SageMaker Canvas is a no-code workspace that enables analysts and citizen data scientists to generate accurate ML predictions for their business needs. Until now, SageMaker Canvas provided the ability to evaluate an ML model, generate bulk predictions, and run what-if analyses within its interactive workspace.

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ODSC - Open Data Science

OCTOBER 19, 2023

Trending AI GitHub Repos: Week of October 9, 2023 This week’s trending GitHub AI repos have been highlighted by tools that streamline LLMs, integrate GPT models, and store data.

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Alation

MARCH 29, 2022

They weren’t confident that business users could make sense of huge data sets, and felt that even business users who were trained in BI tools didn’t use them often enough to retain their skills. These so-called “citizen data scientists” remained a roadblock between business users and data — and between data and decision making.

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Business Intelligence Business Intelligence Data Silos Citizen Data Scientist 96

AWS Machine Learning Blog

SEPTEMBER 23, 2024

Launched in 2021, Amazon SageMaker Canvas is a visual point-and-click service that allows business analysts and citizen data scientists to use ready-to-use machine learning (ML) models and build custom ML models to generate accurate predictions without writing any code. This is crucial for compliance, security, and governance.

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DataRobot Blog

MARCH 28, 2022

DataRobot provides a Machine Learning platform that allows data scientists and citizen data scientists to quickly and efficiently prepare, build and evaluate many competing models in order to identify the optimal algorithm to solve the use case.

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AWS Machine Learning Blog

JULY 29, 2024

In Part 1 and Part 2 , we show how Salesforce Data Cloud and Einstein Studio integration with SageMaker allows businesses to access their Salesforce data securely using SageMaker’s tools to build, train, and deploy models to endpoints hosted on SageMaker.

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DataRobot Blog

FEBRUARY 4, 2021

In business environments, there are an average of 30x more business analysts than there are data scientists. When you engage those business analysts in your AI effort, you can create citizen data scientists and train them to identify ways that AI might help solve the business problems they grapple with everyday.

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Dataversity

JANUARY 15, 2021

The profile of data analytics has never been higher. Data scientists are playing a critical role, advising decision-makers as […]. Click to learn more about author Sam Mahalingam.

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AWS Machine Learning Blog

NOVEMBER 27, 2023

In Part 1 and Part 2 , we show how the Salesforce Data Cloud and Einstein Studio integration with SageMaker allows businesses to access their Salesforce data securely using SageMaker and use its tools to build, train, and deploy models to endpoints hosted on SageMaker.

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Pickl AI

DECEMBER 4, 2024

The rise of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML) , and Big Data analytics is reshaping industries and creating new opportunities for Data Scientists. Improved Customer Experiences : Real-time analytics enables personalised interactions based on current user behaviour.

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Mlearning.ai

MAY 3, 2023

ML/AI Enthusiasts, and Learners Citizen Data Scientists who prefer a low code solution for quick testing. Experienced Data Scientists who want to try out different use-cases as per their business context for quick prototyping. If you liked the blog post pls. Students and Teachers.

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DataRobot Blog

APRIL 1, 2018

These modern tools will auto-profile the data, detect joins and overlaps, and offer recommendations. With AI infused throughout, the industry is moving towards a place where data analytics is far less biased, and where citizen data scientists will have greater power and agility to accomplish more in less time.

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The Data Administration Newsletter

JULY 17, 2024

As the business intelligence solution market evolves, it may be difficult for an organization to know when to invest in these tools, and which tools are best for enterprise and user needs. In this article, we will discuss the benefits of implementing BI tools within your organization.

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Dataversity

JULY 24, 2023

Data analysts are an important part of modern business, and this article will not argue otherwise. But it will argue that not every company, department, and team needs a data analyst to become data-driven. But I knew […] The post Becoming Data-Driven Without a Data Analyst appeared first on DATAVERSITY.

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Dataversity

FEBRUARY 1, 2023

Put simply, BI democratization is the open access to business intelligence and augmented analytics tools to enable analysis and understanding of the data within the enterprise systems. Who gets access to the data? What is business intelligence democratization? The “democratization” component relates to the “who.”

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Dataversity

APRIL 27, 2022

Small and medium-sized businesses (SMBs) are often challenged to satisfy all the roles and responsibilities in the organization, and most team members wear more than one hat.

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Dataversity

MARCH 18, 2022

If your small or medium-sized business (SMB) is looking for ways to improve forecasting, problem-solving, and market opportunities, it must embrace self-service advanced analytics that allow business users to leverage their role, their knowledge of their business function, and their collaborative initiatives to gather, analyze, and share information (..)

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Dataversity

JANUARY 21, 2022

Will “citizen data analysts” become the most important people […]. Now that 2021 has come to a close and leadership teams once again look to position their organizations for opportunities and challenges on the horizon, there’s no shortage of questions about what to expect in 2022 and beyond.

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Analytics Analytics Data Analyst Citizen Data Scientist 52

Dataversity

MARCH 17, 2021

Data scientists are some of the most in-demand professionals on the market. A LinkedIn Workforce Report in 2018 found 151,000 unfilled data scientist jobs across the United States, with “acute” shortages in San Francisco, Los Angeles, and New York City. And the demand for data scientists […].

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Alation

JANUARY 17, 2023

As data science is growing in popularity and importance , if your organization uses data science, you’ll need to pay more attention to picking the right tools for this. An example of a data science tool is Dataiku. Business Intelligence Tools: Business intelligence (BI) tools are used to visualize your data. Author Bio.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

Amazon SageMaker Canvas is a no-code workspace that enables analysts and citizen data scientists to generate accurate machine learning (ML) predictions for their business needs. This flexibility can provide more robust and insightful model development. See Logging out of Amazon SageMaker Canvas for more details.

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The Data Administration Newsletter

FEBRUARY 19, 2025

The importance of Citizen Data Scientists has become a focus for the wise business executive and manager.

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The Data Administration Newsletter

APRIL 2, 2025

In 2016, the technology research firmGartnercoined the term citizen data scientist, defining it as a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.

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The Data Administration Newsletter

DECEMBER 18, 2024

When a business decides to undertake a data democratization initiative, improve data literacy, and create a role for citizen data scientists, the management team often assumes that business users will be eager to participate, and that assumption can cause these initiatives to fail.

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The Data Administration Newsletter

MARCH 19, 2025

Like every other business, your organization must plan for success. In order to do this, the team must have a dependable plan, be able to forecast results, and create reasonable objectives, goals, and competitive strategies.

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