AWS Machine Learning Blog

NOVEMBER 2, 2023

Amazon SageMaker Canvas now supports deploying machine learning (ML) models to real-time inferencing endpoints, allowing you take your ML models to production and drive action based on ML-powered insights. Implement the prerequisites mentioned in Predict customer churn with no-code machine learning using Amazon SageMaker Canvas.

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ODSC - Open Data Science

SEPTEMBER 20, 2023

Adam Ross Nelson on Confident Data Science In this interview, we talk about what confident data science is, how data scientists can confidently and ethically use AI, and emerging fields like prompt engineering.

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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.

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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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ODSC - Open Data Science

OCTOBER 19, 2023

Stripling, PhD, Lead AI & ML Content Developer at Google Cloud and author of Low-Code AI: A Practical Project-Driven Introduction to Machine Learning, will explore how low- and no-code AI is ushering in an era for more inclusive tech development.

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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. Learn more. Learn More. AI Partners.

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Dataversity

JANUARY 15, 2021

Data scientists are playing a critical role, advising decision-makers as […]. The post Four Technology Trends That Will Shape Data Analytics in 2021 appeared first on DATAVERSITY.

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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

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.

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AWS Machine Learning Blog

JULY 29, 2024

SageMaker endpoints can be registered with Salesforce Data Cloud to activate predictions in Salesforce.

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DataRobot

OCTOBER 8, 2021

At DataRobot, we seek to shrink the cybersecurity skills gap by using Augmented Intelligence and Machine Learning to decrease employee decision cycles and shorten the time to respond. At American Fidelity, we helped train 200 Data Scientists and deploy 30 models.

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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. Generative NLP models in customer service.

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ODSC - Open Data Science

SEPTEMBER 28, 2023

SuperDataScience Podcast The most listened-to podcast in the industry, SuperDataScience brings you the latest machine learning, artificial intelligence, and data career topics from across both academia and industry. Check it out here! Save over $600 for the first time ever! The sale ends today!

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DataRobot Blog

FEBRUARY 4, 2021

While it has been fun for data scientists to test what machine learning can do, companies that invest huge resources into their AI solutions want to see results. It’s incredibly important to build a bridge between what your data scientists are working on and the business outcome. Build or Buy an AI Solution?

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ODSC - Open Data Science

OCTOBER 5, 2023

How Machine Learning Can Be Used to Cut Energy Bills Here’s how machine learning and AI are making power cheaper for companies and consumers. Data Scientist Sharada Narayanan as she dives into the strengths, uses, and limitations of popular time-series forecasting techniques like ARIMA and Prophet.

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DataRobot

SEPTEMBER 2, 2021

When I first worked in the MLB in the 80’s, there were only a handful of data scientists employed. During my tenure, they continue to “top the leaderboard” within the AI/machine learning/data science industry.

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Dataversity

MARCH 17, 2021

Click to learn more about author Itamar Ben Hamo. 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.

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AWS Machine Learning Blog

NOVEMBER 27, 2023

SageMaker endpoints can be registered to the Salesforce Data Cloud to activate predictions in Salesforce. Salesforce Data Cloud and Einstein Studio Salesforce Data Cloud is a data platform that provides businesses with real-time updates of their customer data from any touch point.

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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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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. Students and Teachers. If you liked the blog post pls.

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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. Good question.

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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. Good question.

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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. Good question.

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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. Ensemble methods in machine learning involve creating multiple models and then combining them to produce improved results.

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DataRobot

MARCH 16, 2021

Having a PhD in data science or years of coding experience are great, but even people with limited backgrounds in machine learning can become AI Heroes. Senior Data Scientist, American Fidelity. Megan is driving AI democratization by improving accessibility to AI tools for citizen data scientists at her company.

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Dataconomy

MARCH 5, 2025

Data scientists play a crucial role in today’s data-driven world, where extracting meaningful insights from vast amounts of information is key to organizational success. Their work blends statistical analysis, machine learning, and domain expertise to guide strategic decisions across various industries.

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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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Dataconomy

MARCH 19, 2025

Predictive analytics utilizes statistical algorithms and machine learning to forecast future outcomes based on historical data. Roles of data professionals Various professionals contribute to the data science ecosystem. Machine learning engineer: Focuses on the development of predictive models.

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