Citizen Data Scientist, Data Scientist and ML

How to Democratize AI/ML and Data Science with AI-generated Synthetic Data

KDnuggets

NOVEMBER 30, 2022

Synthetic data generation is a solution that allows citizen data scientists and auto ML users to quickly and safely create and use business-critical data assets. Benefits go beyond democratizing data access, and even those with privileged data access build synthetic data generators into their workflows.

Citizen Data Scientist

Citizen Data Scientist ML ML Data Science

Deploy ML models built in Amazon SageMaker Canvas to Amazon SageMaker real-time endpoints

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. It also makes operationalizing ML models more accessible to individuals, without the need to write code.

ML

ML ML Citizen Data Scientist Machine Learning

The Rise of Micro-SaaS: A Paradigm Shift in Data Science Solutions

Data Science Connect

JULY 24, 2023

In the rapidly evolving world of data science, where cutting-edge technology drives innovation, the traditional one-size-fits-all software solutions are increasingly being challenged. Micro-SaaS , short for Micro Software-as-a-Service, is gaining traction as an innovative approach to solving complex data science problems.

Data Science

Data Science Citizen Data Scientist Data Scientist ML

Webinars

What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

MORE WEBINARS

How to establish lineage transparency for your machine learning initiatives

IBM Journey to AI blog

MAY 20, 2024

Machine learning (ML) has become a critical component of many organizations’ digital transformation strategy. From predicting customer behavior to optimizing business processes, ML algorithms are increasingly being used to make decisions that impact business outcomes.

Machine Learning

Machine Learning Machine Learning Data Scientist ML

Govern generative AI in the enterprise with Amazon SageMaker Canvas

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.

ML

ML ML AWS AI

Democratize ML on Salesforce Data Cloud with no-code Amazon SageMaker Canvas

AWS Machine Learning Blog

NOVEMBER 27, 2023

SageMaker endpoints can be registered to the Salesforce Data Cloud to activate predictions in Salesforce. SageMaker Canvas also enables you to understand your predictions using feature importance and SHAP values, making it straightforward for you to explain predictions made by ML models.

ML

ML ML AWS SQL

DataRobot Flies Higher with Zepl Acquisition, Adding Cloud Native Notebook Solution to AI Platform

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. Data Exploration, Visualization, and First-Class Integration. Put simply, Zepl helps make DataRobot easily customizable. Stay tuned.

Data Scientist

Data Scientist Citizen Data Scientist Data Science AI

Fine-Tuning LLMs, Anomaly Detection for CRM Data, and the History of Gaming and AI

ODSC - Open Data Science

OCTOBER 19, 2023

Video of the Week: Accelerate Your AI/ML Initiatives and Deliver Business Value Quickly In this enlightening video, join Mahesh Krishnan and Peter Kilroy as they delve into the world of enterprise-level AI adoption.

Citizen Data Scientist

Citizen Data Scientist AI AI Data Science

Using Graphs for Feature Engineering, Prompt Fine-Tuning for Generative AI, and Confident Data…

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.

Data Science

Data Science Data Scientist AI AI

New – No-code generative AI capabilities now available in Amazon SageMaker Canvas

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.

AWS

AWS Citizen Data Scientist AI AI

Real-Time ML with Spark and SBERT, AI Coding Assistants, Data Lake Vendors, and ODSC East…

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. Well, these libraries will give you a solid start.

Data Lakes

Data Lakes ML ML Citizen Data Scientist

Four Technology Trends That Will Shape Data Analytics in 2021

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.

Analytics

Analytics Analytics Data Scientist Citizen Data Scientist

Build generative AI–powered Salesforce applications with Amazon Bedrock

AWS Machine Learning Blog

JULY 29, 2024

SageMaker endpoints can be registered with Salesforce Data Cloud to activate predictions in Salesforce. He has over 10 years of experience in planning, building, launching, and managing world-class solutions for enterprise customers, including AI/ML and cloud solutions. Follow him on LinkedIn. You can connect with him on LinkedIn.

AWS

AWS AI AI ML

Recent 10X Academy Graduates Ready to Hit the Data Science Ground Running

DataRobot

FEBRUARY 22, 2021

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. In terms of data analysis, I scraped huge datasets and applied NLP, feature engineering, and ML algorithms using Python.”.

Data Science

Data Science Data Scientist Citizen Data Scientist Data Analyst

Predicting the Future of Data Science

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. Automated Machine Learning (AutoML) will democratize access to Data Science tools and techniques.

Data Science

Data Science Data Scientist Machine Learning Machine Learning

Create A Stronger Cyber Workforce with AI

DataRobot

OCTOBER 8, 2021

Related Sources for Workforce Augmentation: With Adecco Group, we helped deploy 60 AI/ML projects in just a few weeks. At American Fidelity, we helped train 200 Data Scientists and deploy 30 models. DataRobot can help identify employees at risk of quitting, especially in a high-turnover, high-burnout job like a SOC analyst.

Citizen Data Scientist

Citizen Data Scientist AI AI Data Scientist

Making AI More Accessible With LLM Alignment, Prompt Engineering Skills, and a 2-for-1 ODSC West…

ODSC - Open Data Science

SEPTEMBER 28, 2023

The Implications of Scaling Airflow Wondering why you’re spending days just deploying code and ML models? How Data Scientists Can Benefit from Using LinkedIn More Let’s discuss how to use LinkedIn to your advantage as a data scientist to find a new job, highlight your expertise, and expand your network.

Data Scientist

Data Scientist AI AI Azure

New Speakers Added to the ODSC Europe 2023 Lineup

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.

Machine Learning

Machine Learning Machine Learning Data Science Citizen Data Scientist

The Prompt Optimization Stack, an Overview of LLMOps, and Using Synthetic Data for LLMs

ODSC - Open Data Science

OCTOBER 5, 2023

Data Scientist Sharada Narayanan as she dives into the strengths, uses, and limitations of popular time-series forecasting techniques like ARIMA and Prophet. Upcoming Webinars: Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering Thu, Oct 5, 2023 12:00 PM — 1:00 PM EDT Join dotData Sr.

Azure

Azure Artificial Intelligence Artificial Intelligence Machine Learning

An open-source, low-code Python wrapper for easy usage of the Large Language Models such as…

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.

Python

Python Natural Language Processing Data Scientist Citizen Data Scientist

3 Takeaways from Gartner’s 2018 Data and Analytics Summit

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.

Analytics

Analytics Analytics Data Preparation Augmented Analytics

How to build reusable data cleaning pipelines with scikit-learn

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.

Exploratory Data Analysis

Exploratory Data Analysis Data Pipeline Data Scientist Machine Learning

How to build reusable data cleaning pipelines with scikit-learn

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.

Exploratory Data Analysis

Exploratory Data Analysis Data Pipeline Data Scientist Machine Learning

Build and evaluate machine learning models with advanced configurations using the SageMaker Canvas model leaderboard

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.

Machine Learning

Machine Learning Machine Learning Algorithm Citizen Data Scientist

Data Science Current

How to Democratize AI/ML and Data Science with AI-generated Synthetic Data

Deploy ML models built in Amazon SageMaker Canvas to Amazon SageMaker real-time endpoints

Webinars

Trending Sources

The Rise of Micro-SaaS: A Paradigm Shift in Data Science Solutions

Webinars

How to establish lineage transparency for your machine learning initiatives

Govern generative AI in the enterprise with Amazon SageMaker Canvas

Democratize ML on Salesforce Data Cloud with no-code Amazon SageMaker Canvas

DataRobot Flies Higher with Zepl Acquisition, Adding Cloud Native Notebook Solution to AI Platform

Fine-Tuning LLMs, Anomaly Detection for CRM Data, and the History of Gaming and AI

Using Graphs for Feature Engineering, Prompt Fine-Tuning for Generative AI, and Confident Data…

New – No-code generative AI capabilities now available in Amazon SageMaker Canvas

Real-Time ML with Spark and SBERT, AI Coding Assistants, Data Lake Vendors, and ODSC East…

Four Technology Trends That Will Shape Data Analytics in 2021

Build generative AI–powered Salesforce applications with Amazon Bedrock

Recent 10X Academy Graduates Ready to Hit the Data Science Ground Running

Predicting the Future of Data Science

Create A Stronger Cyber Workforce with AI

Making AI More Accessible With LLM Alignment, Prompt Engineering Skills, and a 2-for-1 ODSC West…

New Speakers Added to the ODSC Europe 2023 Lineup

The Prompt Optimization Stack, an Overview of LLMOps, and Using Synthetic Data for LLMs

An open-source, low-code Python wrapper for easy usage of the Large Language Models such as…

3 Takeaways from Gartner’s 2018 Data and Analytics Summit

How to build reusable data cleaning pipelines with scikit-learn

How to build reusable data cleaning pipelines with scikit-learn

Build and evaluate machine learning models with advanced configurations using the SageMaker Canvas model leaderboard

Stay Connected