### Contents - [**Articles**](#resources-articles) - [**Glossary Terms**](#resources-glossary_terms) - [**Discussions**](#resources-discussions) - [**Reports**](#resources-reports) # Data Science and Machine Learning Platforms Resources ##### Articles, Glossary Terms, Discussions, and Reports to expand your knowledge on Data Science and Machine Learning Platforms Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find [articles](#resources-articles) from our experts, [feature definitions](#resources-glossary_terms), [discussions](#resources-discussions) from users like you, and [reports](#resources-reports) from industry data. [ContentsExpand/Collapse Contents](#) - [**Articles**](#resources-articles) - [**Glossary Terms**](#resources-glossary_terms) - [**Discussions**](#resources-discussions) - [**Reports**](#resources-reports) ## Data Science and Machine Learning Platforms Articles [![Seq2Seq Models: How They Work and Why They Matter in AI](https://learn.g2.com/hubfs/G2CM_FI427_Learn_Article-%5BMachine_Learning_Operationalization%5D_V1b-1.png "Seq2Seq Models: How They Work and Why They Matter in AI")](https://www.g2.com/articles/seq2seq) [ ### Seq2Seq Models: How They Work and Why They Matter in AI ](https://www.g2.com/articles/seq2seq) Imagine effortlessly translating an entire book from one language to another or condensing pages of dense text into a few clear sentences – all with just a few clicks.  [ ![Chayanika Sen](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Chayanika Sen") CS ](https://learn.g2.com/author/chayanika-sen) by Chayanika Sen [![10 Best Data Labeling Software With G2 User Reviews](https://learn.g2.com/hubfs/G2CM_FI917_Learn_Article_Images-%5BData_Labeling%5D_V1b.png "10 Best Data Labeling Software With G2 User Reviews")](https://www.g2.com/articles/best-data-labeling-software) [ ### 10 Best Data Labeling Software With G2 User Reviews ](https://www.g2.com/articles/best-data-labeling-software) As the prominence of AI grows, it is being commercialized at a lightning-fast speed. [ ![Shreya Mattoo](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Shreya Mattoo") SM ](https://learn.g2.com/author/shreya-mattoo) by Shreya Mattoo [![What Is Artificial Intelligence (AI)? Types, Definition And Examples](https://learn.g2.com/hubfs/_learn-what-is-artificial-intelligence@2x.png "What Is Artificial Intelligence (AI)? Types, Definition And Examples")](https://www.g2.com/articles/what-is-artificial-intelligence) [ ### What Is Artificial Intelligence (AI)? Types, Definition And Examples ](https://www.g2.com/articles/what-is-artificial-intelligence) Remember Sophia, the humanoid that appeared on the late-night show with Jimmy Fallon? [ ![Amal Joby](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Amal Joby") AJ ](https://learn.g2.com/author/amal-joby) by Amal Joby [![What Is Artificial General Intelligence (AGI)? The Future Is Here](https://learn.g2.com/hubfs/_learn-artificial-general-intelligence@2x.png "What Is Artificial General Intelligence (AGI)? The Future Is Here")](https://www.g2.com/articles/artificial-general-intelligence) [ ### What Is Artificial General Intelligence (AGI)? The Future Is Here ](https://www.g2.com/articles/artificial-general-intelligence) Artificial general intelligence (AGI) could be the best or worst thing ever happening to us. [ ![Amal Joby](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Amal Joby") AJ ](https://learn.g2.com/author/amal-joby) by Amal Joby [![2023 Trends in AI: Cheaper, Easier-to-Use AI to the Rescue](https://learn.g2.com/hubfs/2023%20Trends%20in%20AI%20Cheaper%2c%20Easier-to-Use%20AI%20to%20the%20Rescue.png "2023 Trends in AI: Cheaper, Easier-to-Use AI to the Rescue")](https://www.g2.com/articles/ai-trends-2023) [ ### 2023 Trends in AI: Cheaper, Easier-to-Use AI to the Rescue ](https://www.g2.com/articles/ai-trends-2023) This post is part of G2's 2023 digital trends series. Read more about G2’s perspective on digital transformation trends in an introduction from Emily Malis Greathouse, director, market research, and additional coverage on trends identified by G2’s analysts. [ ![Matthew Miller](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Matthew Miller") MM ](https://learn.g2.com/author/matthew-miller) by Matthew Miller [![Barriers Toward Adopting AI and Analytics in the Supply Chain](https://learn.g2.com/hubfs/cargo%20ship%20on%20port.jpg "Barriers Toward Adopting AI and Analytics in the Supply Chain")](https://www.g2.com/articles/ai-and-analytics-in-the-supply-chain) [ ### Barriers Toward Adopting AI and Analytics in the Supply Chain ](https://www.g2.com/articles/ai-and-analytics-in-the-supply-chain) I recently attended the Tableau Conference, where I indulged my nerdiness for four days. As a self-described data science evangelist, I was thrilled to see autoML, natural language generation, and other advanced automation features be added to Tableau, one of the world’s leading data visualization and business intelligence platforms.  [ ![Anthony Orso](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Anthony Orso") AO ](https://learn.g2.com/author/anthony-orso) by Anthony Orso [![The Importance of Data Quality and Commoditization of Algorithms](https://learn.g2.com/hubfs/data%20algorithm-MM.jpg "The Importance of Data Quality and Commoditization of Algorithms")](https://www.g2.com/articles/data-quality-and-commoditization-of-algorithms) [ ### The Importance of Data Quality and Commoditization of Algorithms ](https://www.g2.com/articles/data-quality-and-commoditization-of-algorithms) Algorithms. Algorithmic. Machine learning. Deep learning. If you’re reading this piece, there is a good chance you have come across these terms at some point. An algorithm probably recommended this article to you. The umbrella term for all of the above is artificial intelligence (AI), which takes data of different flavors and provides you with predictions or answers based on that. There is a good chance you have benefited from this technology in some way, whether in a map application, image search from your favorite retailer, or intelligent autocomplete.  [ ![Matthew Miller](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Matthew Miller") MM ](https://learn.g2.com/author/matthew-miller) by Matthew Miller [![How to Choose a Data Science and Machine Learning Platform That’s Right For Your Business](https://learn.g2.com/hubfs/data%20science.jpeg "How to Choose a Data Science and Machine Learning Platform That’s Right For Your Business")](https://www.g2.com/articles/data-science-and-machine-learning-platform-for-your-business) [ ### How to Choose a Data Science and Machine Learning Platform That’s Right For Your Business ](https://www.g2.com/articles/data-science-and-machine-learning-platform-for-your-business) Big data is the zeitgeist of the 21st century. The sheer volume of data available to businesses, government agencies, educational institutions, and consumers is virtually limitless compared to the days when computers were the size of computer science labs. [ ![Anthony Orso](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Anthony Orso") AO ](https://learn.g2.com/author/anthony-orso) by Anthony Orso [![Data Trends in 2022](https://learn.g2.com/hubfs/data.jpeg.jpeg "Data Trends in 2022")](https://www.g2.com/articles/data-trends-2022) [ ### Data Trends in 2022 ](https://www.g2.com/articles/data-trends-2022) This post is part of G2's 2022 digital trends series. Read more about G2’s perspective on digital transformation trends in an introduction from Tom Pringle, VP, market research, and additional coverage on trends identified by G2’s analysts. [ ![Matthew Miller](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Matthew Miller") MM ](https://learn.g2.com/author/matthew-miller) by Matthew Miller [![How to Make Algorithms Which Explain Themselves](https://sell.g2.com/hubfs/johannes-groll-mrIaqKh9050-unsplash.jpg "How to Make Algorithms Which Explain Themselves")](https://www.g2.com/articles/how-to-make-algorithms-which-explain-themselves) [ ### How to Make Algorithms Which Explain Themselves ](https://www.g2.com/articles/how-to-make-algorithms-which-explain-themselves) Back in 2019, I wrote my predictions of advancements we'd see in AI in 2020. In one of those predictions, I discussed the perennial problem of algorithmic explainability, or the ability for algorithms to explain themselves, and how that will come to the fore this year. Solving this problem is key to business success, as the general public is becoming increasingly uncomfortable with black-box algorithms. [ ![Matthew Miller](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Matthew Miller") MM ](https://learn.g2.com/author/matthew-miller) by Matthew Miller [![Artificial Intelligence in Healthcare: Benefits, Myths, and Limitations](https://learn.g2.com/hubfs/healthcare%20worker.jpg "Artificial Intelligence in Healthcare: Benefits, Myths, and Limitations")](https://www.g2.com/articles/artificial-intelligence-in-healthcare-benefits-myths-and-limitations) [ ### Artificial Intelligence in Healthcare: Benefits, Myths, and Limitations ](https://www.g2.com/articles/artificial-intelligence-in-healthcare-benefits-myths-and-limitations) Artificial intelligence (AI) is reinventing and reinvigorating the modern healthcare system by finding new links between genetic codes or driving robots that assist with surgery. [ ![Rachael Altman](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Rachael Altman") RA ](https://learn.g2.com/author/rachael-altman) by Rachael Altman [![The Role of Artificial Intelligence in Accounting](https://learn.g2.com/hubfs/papers%20and%20calculator%20kept%20on%20a%20table.jpg "The Role of Artificial Intelligence in Accounting")](https://www.g2.com/articles/the-role-of-artificial-intelligence-in-accounting) [ ### The Role of Artificial Intelligence in Accounting ](https://www.g2.com/articles/the-role-of-artificial-intelligence-in-accounting) Accounting is one of the most important, yet daunting and expensive departments in almost all companies. Accountants oversee all financial operations of a business to help it run smoothly and efficiently. These include preparing and analyzing financial statements (e.g., cash flow, income statement, balance sheet), paying taxes on time, and maintaining the companies’ general ledger (GL). All these tasks require a great deal of human interaction that takes time and money; no matter how careful an employee may be, there is always the chance for human error, which could snowball and lead to devastating financial results in the future. [ ![Nathan Calabrese](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Nathan Calabrese") NC ](https://learn.g2.com/author/nathan-calabrese) by Nathan Calabrese [![Tech Companies Bridging the Gap Between AI and Automation](https://learn.g2.com/hubfs/G2CM_BI141_Backlog_Images-%5BAI_and_Automation%5D_V1a.png "Tech Companies Bridging the Gap Between AI and Automation")](https://www.g2.com/articles/tech-companies-bridging-the-gap-of-ai-and-automation) [ ### Tech Companies Bridging the Gap Between AI and Automation ](https://www.g2.com/articles/tech-companies-bridging-the-gap-of-ai-and-automation) Automation and artificial intelligence (AI) are important, interrelated tools that help organizations streamline their processes and add intelligence to their workflows. They allow businesses to reach organizational goals by automating business processes, whereby they can increase efficiency and adapt to new business procedures.  [ ![Matthew Miller](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Matthew Miller") MM ](https://learn.g2.com/author/matthew-miller) by Matthew Miller [![How COVID-19 Is Impacting Data Professionals](https://learn.g2.com/hubfs/young-woman-holding-a-stethoscope-3758765.jpg "How COVID-19 Is Impacting Data Professionals")](https://www.g2.com/articles/covid-19-impact-on-data-professionals) [ ### How COVID-19 Is Impacting Data Professionals ](https://www.g2.com/articles/covid-19-impact-on-data-professionals) Remote work isn't the future. It's a current reality, with nearly 75% of U.S. workers working remotely at least some of the time, according to Owl Labs' State of Remote Work 2019 Report. Data scientists and other data professionals are no exception to the rule and are able to bring their work home with them if and when the need, or desire, arises. However, a switch to remote work isn't as straightforward as simply taking a work laptop home. [ ![Matthew Miller](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Matthew Miller") MM ](https://learn.g2.com/author/matthew-miller) by Matthew Miller [![True Data Protection Demands More Than Just Regulation](https://sell.g2.com/hubfs/black-android-smartphone-on-top-of-white-book-39584.jpg "True Data Protection Demands More Than Just Regulation")](https://www.g2.com/articles/data-protection-demands-more-than-regulation) [ ### True Data Protection Demands More Than Just Regulation ](https://www.g2.com/articles/data-protection-demands-more-than-regulation) I’ll let you in on a (poorly kept) secret: The use of advanced analytics and other AI-powered capabilities that help users manage and interrogate data isn't new. The practice has been around far longer than the current bubble of hype surrounding AI has been inflating. [ ![Tom Pringle](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Tom Pringle") TP ](https://learn.g2.com/author/tom-pringle) by Tom Pringle [![What Is the Future of Machine Learning? We Asked 5 Experts](https://learn.g2crowd.com/hubfs/future-of-machine-learning.jpg "What Is the Future of Machine Learning? We Asked 5 Experts")](https://www.g2.com/articles/future-of-machine-learning) [ ### What Is the Future of Machine Learning? We Asked 5 Experts ](https://www.g2.com/articles/future-of-machine-learning) Forget what you may have heard. Machine learning isn’t some new concept or study in its infancy. [ ![Devin Pickell](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Devin Pickell") DP ](https://learn.g2.com/author/devin-pickell) by Devin Pickell Show More ## Data Science and Machine Learning Platforms Glossary Terms [![Algorithmic Bias](https://learn.g2.com/hubfs/G2CM_GI653_Glossary_Article_Images_%5BAlgorithmic_Bias%5D_V1b.png "Algorithmic Bias")](https://www.g2.com/glossary/algorithmic-bias-definition) [Algorithmic Bias](https://www.g2.com/glossary/algorithmic-bias-definition) Algorithmic bias is a systematic AI error that generates unfair outcomes based on race, age, or gender. Learn its types, examples, and prevention. by Washija Kazim [![Machine learning operationalization (MLOps)](https://learn.g2.com/hubfs/MLOps.png "Machine learning operationalization (MLOps)")](https://www.g2.com/glossary/machine-learning-operationalization-definition) [Machine learning operationalization (MLOps)](https://www.g2.com/glossary/machine-learning-operationalization-definition) Machine learning operationalization is a process or methodology, not a particular type of software. It applies tools and resources to ensure that machine learning projects are run properly and efficiently, including data governance, model management, and model deployment. by Matthew Miller [![Parallel Processing](https://learn.g2.com/hubfs/Parallel%20Processing.png "Parallel Processing")](https://www.g2.com/glossary/parallel-processing-definition) [Parallel Processing](https://www.g2.com/glossary/parallel-processing-definition) Parallel processing is a type of computer architecture where tasks are broken down into smaller parts and processed separately to ensure faster processing speeds and increase convenience. by Preethica Furtado ## Data Science and Machine Learning Platforms Discussions 0 Question on: Alteryx [Is Alteryx designed to support non-technical users like business analysts, operations teams, and marketers who need self-service analytics?](/discussions/is-alteryx-designed-to-support-non-technical-users-like-business-analysts-operations-teams-and-marketers-who-need-self-service-analytics) Yes. Alteryx is designed for non-technical users with an intuitive, low-code interface that enables new users to build automated workflows in a matter of hours. With over 300 code-free and code-friendly tools and more than 100 pre-built connectors, analysts and business teams can prepare, blend, and analyze data without relying on IT. Adoption is supported by a global community of 700,000 users, helping teams onboard quickly and share best practices. Trusted by more than half of the Global 2000, Alteryx provides governed, scalable self-service analytics that grow with your organization. Comment deleted by user. Answered: Bhoomika Pawar on December 15, 2025 Which teams tend to get the most value from Alteryx first when rolling it out beyond data specialists? Answered: Bhoomika Pawar on December 15, 2025 [See more answers (1)](javascript:void(0);) [Your answer](/discussions/is-alteryx-designed-to-support-non-technical-users-like-business-analysts-operations-teams-and-marketers-who-need-self-service-analytics/comments/new?remote=true) 0 [What are the best analytics tools for software development firms?](/discussions/what-are-the-best-analytics-tools-for-software-development-firms) Hey G2! I want to start a community discussion about webinar software, more specifically, what are the most popular webinar software for enterprises? Do you have first-hand experience using these top-rated software systems in G2’s Webinar Software category: That same spirit of shared experience applies here too. This time, I’m hoping to hear from developers, analysts, and product teams about which analytics tools have actually helped software development firms improve decision-making and product performance. Here are some of the top-rated platforms from G2’s [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms) category: [**Vertex AI**](https://www.g2.com/products/google-vertex-ai/reviews) End-to-end ML platform from Google Cloud with strong integration into analytics tools like BigQuery. Good fit for product telemetry and predictive modeling in a cloud-native setup. [**Databricks Data Intelligence Platform**](https://www.g2.com/products/databricks-data-intelligence-platform/reviews) Combines analytics and machine learning in a unified environment. Popular among engineering-focused teams for centralizing logs, performance data, and usage metrics. [**Deepnote**](https://www.g2.com/products/deepnote/reviews) Collaborative notebooks designed for technical and non-technical teams to analyze data together. Useful for exploring product analytics, A/B tests, and customer behavior insights. [**Dataiku**](https://www.g2.com/products/dataiku/reviews) Offers both visual and code-based workflows. Helps connect devs, analysts, and product managers working across analytics and reporting use cases. [**Saturn Cloud**](https://www.g2.com/products/saturn-cloud-saturn-cloud/reviews) Cloud-based environment for Python with scalable compute. Designed for teams working with large datasets and advanced reporting pipelines. What analytics platform has made the biggest impact for your software development team? Any takeaways or tools you would or wouldn’t recommend? I’ve heard Vertex AI and Databricks Data Intelligence Platform are strong choices for analytics in software development firms. Has anyone found one better for handling complex data workflows or real-time insights? You can explore more analytics tools here: https://www.g2.com/categories/data-analytics. Answered: Hayata Nakamura on June 11, 2025 [Your answer](/discussions/what-are-the-best-analytics-tools-for-software-development-firms/comments/new?remote=true) 0 [What are the top machine learning platforms for mobile app developers?](/discussions/what-are-the-top-machine-learning-platforms-for-mobile-app-developers) Mobile app developers are increasingly integrating machine learning into their apps for features like personalization, image recognition, recommendation systems, and natural language processing. The right platform needs to offer reliable APIs, mobile-friendly deployment options, and support for real-time inference. Here are some [machine learning platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms) that mobile teams are using to bring ML into their apps. Curious to hear which tools worked best for your use cases. - [Vertex AI](https://www.g2.com/products/google-vertex-ai/reviews): Fully managed ML platform on Google Cloud. Supports model deployment via APIs and integrates well with Firebase and Android toolchains. - [Databricks Data Intelligence Platform](https://www.g2.com/products/databricks-data-intelligence-platform/reviews): Cloud-native environment for ML development and model serving. Works well for teams building backends that power real-time app experiences. - [Deepnote](https://www.g2.com/products/deepnote/reviews): Collaborative notebook platform for experimentation and analysis. Useful for early prototyping and testing before deploying models into mobile environments. - [Dataiku](https://www.g2.com/products/dataiku/reviews): Offers deployment and scoring options that can be connected to mobile apps via REST APIs. Supports a mix of code and no-code development for ML pipelines. - [Saturn Cloud](https://www.g2.com/products/saturn-cloud-saturn-cloud/reviews): Scalable compute environment for building and testing ML models in Python. Often used for training models before deploying to cloud endpoints used by mobile apps. Which of these platforms—or others—has made it easier to bring machine learning into your mobile applications? Looking for feedback on performance, ease of integration, and real-time response capabilities. Let me know if you want a variant aimed at iOS developers, real-time ML features, or smaller teams. I’ve heard Vertex AI and Databricks Data Intelligence Platform are strong options for mobile app developers using machine learning. Curious which one works better for real-time inference and scaling across devices. You can explore more ML platforms here: https://www.g2.com/categories/machine-learning. Answered: Hayata Nakamura on June 11, 2025 [Your answer](/discussions/what-are-the-top-machine-learning-platforms-for-mobile-app-developers/comments/new?remote=true) - [‹ Prev‹ Prev](/categories/data-science-and-machine-learning-platforms/resources?discussions_page=4) - [1](/categories/data-science-and-machine-learning-platforms/resources) - [2](/categories/data-science-and-machine-learning-platforms/resources?discussions_page=2) - [3](/categories/data-science-and-machine-learning-platforms/resources?discussions_page=3) - [4](/categories/data-science-and-machine-learning-platforms/resources?discussions_page=4) - 5 - [6](/categories/data-science-and-machine-learning-platforms/resources?discussions_page=6) - [7](/categories/data-science-and-machine-learning-platforms/resources?discussions_page=7) - [8](/categories/data-science-and-machine-learning-platforms/resources?discussions_page=8) - [9](/categories/data-science-and-machine-learning-platforms/resources?discussions_page=9) - … - [25](/categories/data-science-and-machine-learning-platforms/resources?discussions_page=25) - [26](/categories/data-science-and-machine-learning-platforms/resources?discussions_page=26) - [Next ›Next ›](/categories/data-science-and-machine-learning-platforms/resources?discussions_page=6) ## Data Science and Machine Learning Platforms Reports Mid-Market Grid® Report for Data Science and Machine Learning Platforms Summer 2026 G2 Report: Grid® Report Grid® Report for Data Science and Machine Learning Platforms Summer 2026 G2 Report: Grid® Report Enterprise Grid® Report for Data Science and Machine Learning Platforms Summer 2026 G2 Report: Grid® Report Momentum Grid® Report for Data Science and Machine Learning Platforms Summer 2026 G2 Report: Momentum Grid® Report Small-Business Grid® Report for Data Science and Machine Learning Platforms Summer 2026 G2 Report: Grid® Report Enterprise Grid® Report for Data Science and Machine Learning Platforms Spring 2026 G2 Report: Grid® Report Small-Business Grid® Report for Data Science and Machine Learning Platforms Spring 2026 G2 Report: Grid® Report Mid-Market Grid® Report for Data Science and Machine Learning Platforms Spring 2026 G2 Report: Grid® Report Grid® Report for Data Science and Machine Learning Platforms Spring 2026 G2 Report: Grid® Report Momentum Grid® Report for Data Science and Machine Learning Platforms Spring 2026 G2 Report: Momentum Grid® Report