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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DataRobot Blog

JULY 22, 2022

Using AI-based models increases your organization’s revenue, improves operational efficiency, and enhances client relationships. You need to know where your deployed models are, what they do, the data they use, the results they produce, and who relies upon their results. What Risk Managers Need to Know About AI Governance.

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ODSC - Open Data Science

OCTOBER 19, 2023

Grab one for access to Keynote Talks, Demo Talks, the AI Expo and Demo Hall, and Extra Events. 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. Attend in-person or virtually!

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ODSC - Open Data Science

SEPTEMBER 20, 2023

Using Graphs for Feature Engineering, Prompt Fine-Tuning for Generative AI, and Confident Data Science GraphReduce: Using Graphs for Feature Engineering Abstractions This tutorial demonstrates an example feature engineering process on an e-commerce schema and how GraphReduce deals with the complexity of feature engineering on the relational schema.

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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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DataRobot

MAY 11, 2021

It 10x’s our world-class AI platform by dramatically increasing the flexibility of DataRobot for data scientists who love to code and share their expertise across teams of all skill levels. At DataRobot, we have always known that data science is a team sport. Customize and automate your data science workflows.

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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

APRIL 27, 2021

As organizations start getting back to normal after the COVID-19 pandemic, AI and machine learning is top of mind for many of these leaders. How to adopt AI and machine learning into business processes is a critical goal to improve process efficiency and scale to handle the increased demand for AI and machine learning for years to come.

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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. Indy is an area of depth specialist with AWS’s Technical Field Community for AI/ML, with specialization in generative AI and low-code/no-code Amazon SageMaker solutions.

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IBM Journey to AI blog

MAY 20, 2024

But trust isn’t important only for executives; before executive trust can be established, data scientists and citizen data scientists who create and work with ML models must have faith in the data they’re using.

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DataRobot

OCTOBER 8, 2021

Even 15 products create an enormous amount of data logs and traffic for security teams—usually understaffed and under-resourced—to constantly monitor and triage. AI for Cybersecurity. Related Sources for Workforce Augmentation: With Adecco Group, we helped deploy 60 AI/ML projects in just a few weeks. Request a Demo.

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ODSC - Open Data Science

JUNE 1, 2023

Real-Time ML with Spark and SBERT, AI Coding Assistants, Data Lake Vendors, and ODSC East Highlights Getting Up to Speed on Real-Time Machine Learning with Spark and SBERT Learn more about real-time machine learning by using this approach that uses Apache Spark and SBERT. Is an AI Coding Assistant Right For You? Here’s how.

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DataRobot Blog

FEBRUARY 4, 2021

“AI could contribute up to $15.7 The same report estimates that in 2018 alone, AI contributed $2 trillion to the global GDP. Despite the enormous rewards of implementing AI solutions, becoming an AI-driven organization is still a challenge. AI with ROI: Delivering Results with Value and Urgency.

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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. AI Partners. Learn More.

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ODSC - Open Data Science

SEPTEMBER 28, 2023

5 Must-Have Skills to Get Into Prompt Engineering From having a profound understanding of AI models to creative problem-solving, here are 5 must-have skills for any aspiring prompt engineer. Buy 1 in-person or virtual pass to the leading AI training conference ODSC West, or the Ai X Summit, and get another of the same type for free.

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DataRobot

FEBRUARY 22, 2021

We started the 10x Academy in 2020 to address employers’ need for talent with strong applied automated AI skills and workers’ desire to upskill. The founding of the 10X Academy is part of DataRobot’s commitment to developing automation that improves the productivity of data scientists while democratizing access to AI for non-data scientists.

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DataRobot

SEPTEMBER 2, 2021

From MLB to NBA, NHL, premier league, entertainment venues, and broadcast, they all get tremendous value injecting AI into their current processes. Sports teams use AI for all sorts of use cases ranging from “on the field” (What are the strengths and weaknesses of my opponents? What’s exciting about AI in sports ?

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Pickl AI

DECEMBER 4, 2024

Summary: The future of Data Science is shaped by emerging trends such as advanced AI and Machine Learning, augmented analytics, and automated processes. As industries increasingly rely on data-driven insights, ethical considerations regarding data privacy and bias mitigation will become paramount.

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ODSC - Open Data Science

OCTOBER 5, 2023

How Synthetic Data Can Be Used for Large Language Models Let’s take a look at a few reasons why companies are looking to synthetic data to train their large language models. Equidistant from San Francisco and Silicon Valley, ODSC West will take place in the epicenter of the AI boom. Register by Friday for 40% off!

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ODSC - Open Data Science

MAY 25, 2023

Data Communication in the Age of AI Alan Rutter, Founder, Fire Plus Algebra In this new era of AI, the emergence of generative AI and large language models has not only been a product of the work of data scientists but also promises to reshape the roles of all data professionals. How to evaluate them?

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AWS Machine Learning Blog

NOVEMBER 27, 2023

This post is co-authored by Daryl Martis, Director of Product, Salesforce Einstein AI. This is the third post in a series discussing the integration of Salesforce Data Cloud and Amazon SageMaker. SageMaker endpoints can be registered to the Salesforce Data Cloud to activate predictions in Salesforce.

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ODSC - Open Data Science

JUNE 2, 2023

Data visualization is a critical way for anyone to turn endless rows of data into easy-to-understand results through dynamic and understandable visuals. And with augmented analytics (and embedded insights), anyone can become a citizen data scientist, regardless of their advanced analytics expertise.

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Mlearning.ai

MAY 3, 2023

Large Language Models & Frameworks used — Overview Large language models or LLMs are AI algorithms trained on large text corpus, or multi-modal datasets, enabling them to understand and respond to human queries in a very natural human language way. chatgpt : ChatGPT is an AI chatbot developed by OpenAI and released in November 2022.

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DataRobot Blog

APRIL 1, 2018

Today’s data management and analytics products have infused artificial intelligence (AI) and machine learning (ML) algorithms into their core capabilities. These modern tools will auto-profile the data, detect joins and overlaps, and offer recommendations. 2) Line of business is taking a more active role in data projects.

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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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Snorkel AI

JULY 3, 2023

Jason Goldfarb, senior data scientist at State Farm , gave a presentation entitled “Reusable Data Cleaning Pipelines in Python” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. It has always amazed me how much time the data cleaning portion of my job takes to complete.

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Snorkel AI

JULY 3, 2023

Jason Goldfarb, senior data scientist at State Farm , gave a presentation entitled “Reusable Data Cleaning Pipelines in Python” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. It has always amazed me how much time the data cleaning portion of my job takes to complete.

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Snorkel AI

JULY 3, 2023

Jason Goldfarb, senior data scientist at State Farm , gave a presentation entitled “Reusable Data Cleaning Pipelines in Python” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. It has always amazed me how much time the data cleaning portion of my job takes to complete.

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DataRobot

MARCH 16, 2021

The technology and science behind AI are incredible, but so are the people involved in it. In 2020, we started the AI Heroes program to recognize individuals who are using AI to drive business, process, and technology innovation in their organizations. What It Takes to Become an AI Hero. Meet DataRobot AI Heroes.

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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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Dataconomy

MARCH 19, 2025

Roles of data professionals Various professionals contribute to the data science ecosystem. Data scientists are the primary practitioners, employing methodologies to extract insights from complex datasets.

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