Machine learning platforms
Enterprises need to make smart investments in machine learning platforms. With a range of features and price tags, making the right ML choice can seem like a daunting task. Discover machine learning platform comparison content, information on getting started with machine learning algorithms and best practices to gain the most from ML projects.
Top Stories
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Feature
03 Feb 2025
GPT-4o vs. GPT-4: How do they compare?
OpenAI's GPT-4o promises improved multimodal capabilities and increased efficiency. Explore the differences between GPT-4o and its predecessor, GPT-4. Continue Reading
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Tip
28 Jan 2025
GAN vs. transformer models: Comparing architectures and uses
Discover the differences between generative adversarial networks and transformers, plus how the two techniques might combine in the future to provide users with better results. Continue Reading
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Tip
08 Jul 2024
Generative models: VAEs, GANs, diffusion, transformers, NeRFs
Choosing the right GenAI model for the task requires understanding the techniques each uses and their specific talents. Learn about VAEs, GANs, diffusion, transformers and NerFs. Continue Reading
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Tip
03 Jul 2024
GitHub Copilot vs. ChatGPT: How do they compare?
Copilot and ChatGPT are generative AI tools that can help coders be more productive. Learn about their strengths and weaknesses, as well as alternative coding assistants. Continue Reading
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Feature
02 Jul 2024
8 benefits of a modern contact center
Contact centers and their multifunctional capabilities can provide businesses with a competitive edge through improved agent performance, customer engagement and brand loyalty. Continue Reading
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Definition
28 Jun 2024
immersive virtual reality (immersive VR)
Immersive virtual reality (immersive VR) is the presentation of an artificial environment that replaces users' real-world surroundings convincingly enough that they can suspend disbelief and fully engage with the created environment. Continue Reading
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Tip
26 Jun 2024
How to build and organize a machine learning team
Explore the process of building an ML team, including reasons to build one and descriptions of the core roles of project manager, data engineer, data scientist and ML engineer. Continue Reading
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Feature
24 Jun 2024
Supervised vs. unsupervised learning explained by experts
Learn the characteristics of supervised learning, unsupervised learning and semisupervised learning and how they're applied in machine learning projects. Continue Reading
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Definition
24 Jun 2024
automated machine learning (AutoML)
Automated machine learning (AutoML) is the process of applying machine learning models to real-world problems using automation. Continue Reading
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Definition
20 Jun 2024
self-driving car (autonomous car or driverless car)
A self-driving car -- sometimes called an autonomous car or driverless car -- is a vehicle that uses a combination of sensors, cameras, radar and artificial intelligence (AI) to travel between destinations without a human operator. Continue Reading
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Tip
18 Jun 2024
8 machine learning benefits for businesses
For business leaders, machine learning's predictive capabilities can forecast product demand, reduce equipment downtime and retain customers. Continue Reading
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13 Jun 2024
History and evolution of machine learning: A timeline
Machine learning's legacy dates from the early beginnings of neural networks to recent advancements in generative AI that democratize new and controversial ways to create content. Continue Reading
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Feature
11 Jun 2024
Top 12 machine learning use cases and business applications
Machine learning applications are increasing the efficiency and improving the accuracy of business functions ranging from decision-making to maintenance to service delivery. Continue Reading
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Tip
06 Jun 2024
The different types of machine learning explained
Rigorous experimentation is key to building machine learning models. Learn about the main types of ML models and the many factors that go into training the right one for the task. Continue Reading
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Definition
06 Jun 2024
data splitting
Data splitting is when data is divided into two or more subsets. Typically, with a two-part split, one part is used to evaluate or test the data and the other for training the model. Continue Reading
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Tip
04 Jun 2024
Compare 6 top MLOps platforms
Choosing the right MLOps platform means considering features, pricing and ease of integration into your current machine learning environment. Evaluate six leading options. Continue Reading
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Definition
03 Jun 2024
machine learning engineer (ML engineer)
A machine learning engineer (ML engineer) is a person in IT who focuses on researching, building and designing self-running artificial intelligence (AI) systems to automate predictive models. Continue Reading
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Definition
15 May 2024
overfitting in machine learning
Overfitting in machine learning occurs when a model excessively fits the training data, capturing both relevant patterns and inconsequential noise, resulting in inaccurate predictions of new data. Continue Reading
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Definition
14 May 2024
GPT-4
GPT-4 is OpenAI's large multimodal language model that generates text from textual and visual input. Continue Reading
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Tip
10 May 2024
How to build an MLOps pipeline
Machine learning initiatives involve multiple complex workflows and tasks. A standardized pipeline can streamline this process and maximize the benefits of an MLOps approach. Continue Reading
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Definition
03 May 2024
facial recognition
Facial recognition is a category of biometric software that maps an individual's facial features to confirm their identity. Continue Reading
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Definition
02 May 2024
What are vector embeddings?
Vector embeddings are numerical representations that capture the relationships and meaning of words, phrases and other data types. Continue Reading
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Definition
02 May 2024
What are masked language models (MLMs)?
Masked language models (MLMs) are used in natural language processing (NLP) tasks for training language models. Continue Reading
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Definition
29 Apr 2024
data set
A data set, also spelled 'dataset,' is a collection of related data that's usually organized in a standardized format. Continue Reading
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Tip
15 Apr 2024
Tips for planning a machine learning architecture
When planning a machine learning architecture, organizations must consider factors such as performance, cost and scalability. Review necessary components and best practices. Continue Reading
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News
09 Apr 2024
Google's updates in Vertex AI, Imagen 2 support GenAI apps
The cloud provider introduced updates to Vertex AI. It revealed its LLM family Gemini is now available in Vertex. Its image generating tool also has new capabilities. Continue Reading
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Definition
25 Mar 2024
model card in machine learning
A model card is a type of documentation that is created for, and provided with, machine learning models. Continue Reading
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Answer
19 Mar 2024
Use AI tools to simplify operations inside your data center
AI is a cornerstone technology that will be part of future-proofing the data center. It will control operations like cooling, network optimization and configuration management. Continue Reading
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Definition
15 Mar 2024
data engineer
A data engineer is an IT professional whose primary job is to prepare data for analytical or operational uses. Continue Reading
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Feature
13 Mar 2024
Managing and predicting wildfires with machine learning
CTO Guy Bayes shares his experience developing AI software to predict and manage wildfires at startup Vibrant Planet and offers tips for getting started in climate tech. Continue Reading
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Tip
27 Feb 2024
GPT-3.5 vs. GPT-4: Biggest differences to consider
GPT-3.5 or GPT-4? With multiple OpenAI language models to choose from, picking the right option for your organization's needs comes down to the details. Continue Reading
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Tip
23 Feb 2024
6 machine learning applications for data center optimization
AI and machine learning have the potential to revolutionize data center operations. They can manage facilities more efficiently by optimizing power consumption and monitoring. Continue Reading
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Definition
30 Jan 2024
Retrieval-Augmented Language Model pre-training
A Retrieval-Augmented Language Model, also referred to as REALM or RALM, is an artificial intelligence language model designed to retrieve text and then use it to perform question-based tasks. Continue Reading
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News
23 Jan 2024
ElevenLabs' funding success shows growth of AI voice market
The startup has quickly raised a total of $101 million, reflecting the fast growth of new technologies like deep neural networks. Along with growth comes challenges. Continue Reading
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Opinion
12 Dec 2023
Amazon's innovative generative AI moves at re:Invent 2023
Analyst Mike Leone takes a comprehensive look at Amazon's generative AI announcements at this year's re:Invent, including the Q assistant, Bedrock enhancements and chip updates. Continue Reading
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Feature
07 Dec 2023
7 ways AI could bring more harm than good
AI has the potential to cause harm in several ways -- including job displacement, lack of transparency and unintended biases. Continue Reading
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News
06 Dec 2023
Google strikes back at OpenAI with Gemini foundation model
After falling behind, the vendor drew on its AI roots in a bid to outdo OpenAI's GPT with a potent foundation model to inject across its app portfolio and for advanced coding. Continue Reading
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Podcast
20 Nov 2023
Diving into Wayfair's machine learning odyssey
From starting with using the technology to determine the best marketing mediums to using GenAI tools internally, the online retail giant's AI experience has evolved. Continue Reading
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News
15 Nov 2023
Microsoft expands AI reach with Azure AI studio, genAI tools
Microsoft's new platform is a studio for building, exploring and testing models. The tech giant is also incorporating Dall-E 3, GPT-3.5 Turbo and GPT-4 Turbo within Azure AI. Continue Reading
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Tip
31 Oct 2023
Prep data for ML training with SageMaker Data Wrangler
Are you ready to wrangle some data? Follow this step-by-step tutorial, and learn how to load, analyze and transform data to train a ML model with Amazon SageMaker Data Wrangler. Continue Reading
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Definition
10 Oct 2023
context window
A context window is a textual range around a target token that a large language model (LLM) can process at the time the information is generated. Continue Reading
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Tutorial
25 Sep 2023
Why and how to use Google Colab
Whether you're looking to gain experience or you're already an expert data scientist, Google Colab can help boost ML and AI initiatives. Follow this tutorial to learn the basics. Continue Reading
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News
20 Sep 2023
Intel promotes new computing era with AI PC
Intel says its upcoming Core Ultra will help lead personal computing to the AI PC era by making AI processing a mainstream task on PCs, like office productivity and video editing. Continue Reading
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Tutorial
18 Sep 2023
Get started with this quick Amazon SageMaker Autopilot tutorial
Building machine learning models can be a daunting and complicated task. Learn how Amazon SageMaker Autopilot can help and how to start an Autopilot experiment. Continue Reading
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Definition
13 Sep 2023
Hugging Face
Hugging Face is a machine learning and data science platform and community that helps users build, deploy and train machine learning models. Continue Reading
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News
09 Aug 2023
Nvidia seeks to help enterprises with generative AI
The hardware and software vendor introduced new offerings to help enterprises work on models locally. It also updated its enterprise AI suite and Omniverse platform. Continue Reading
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Feature
19 Jul 2023
IT observability tool proliferation fuels AIOps deployments
Enterprise Strategy Group's Jon Brown discusses the latest findings in his newly released report on observability in IT and application infrastructures and integrating AIOps. Continue Reading
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Feature
17 Jul 2023
AI existential risk: Is AI a threat to humanity?
What should enterprises make of the recent warnings about AI's threat to humanity? AI experts and ethicists offer opinions and practical advice for managing AI risk. Continue Reading
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Definition
29 Jun 2023
cognitive computing
Cognitive computing is the use of computerized models to simulate the human thought process in complex situations where the answers might be ambiguous and uncertain. Continue Reading
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News
26 Jun 2023
Databricks acquiring MosaicML to add more generative AI
The data lakehouse vendor's purchase of the generative AI vendor will enable customers to build and train language models specific to their needs by using their own data. Continue Reading
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Definition
23 Jun 2023
machine teaching
Machine teaching is the practice of infusing context -- and often business consequences -- into the selection of training data used in machine learning (ML) so that the most relevant outputs are produced by the ML algorithms. Continue Reading
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Definition
23 Jun 2023
multiprocessing
Multiprocessing is the utilization of two or more central processing units (CPUs) in a single computer system. Continue Reading
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Tip
10 May 2023
History of generative AI innovations spans 9 decades
ChatGPT's debut has prompted widespread publicity and controversy surrounding generative AI, a subset of artificial intelligence that's deep-rooted in historic milestones. Continue Reading
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Definition
09 May 2023
case-based reasoning (CBR)
Case-based reasoning (CBR) is an experience-based approach to solving new problems by adapting previously successful solutions to similar problems. Continue Reading
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News
02 May 2023
Teradata integrates with Google Vertex AI
The vendors' new integration provides choices to customers who prefer Google as their cloud provider. It also helps Google present itself as more focused on enterprises. Continue Reading
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Definition
19 Apr 2023
deconvolutional networks (deconvolutional neural networks)
Deconvolutional networks are convolutional neural networks (CNN) that work in a reversed process. Continue Reading
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Tip
19 Apr 2023
Generative AI landscape: Potential future trends
Learn more about the growth of generative AI, its impact on other technologies, use cases and 10 trends that will contribute to the technology's development. Continue Reading
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Tutorial
19 Apr 2023
Set up a machine learning pipeline in this Kubeflow tutorial
For teams running machine learning workflows with Kubernetes, using Kubeflow can lead to faster, smoother deployments. Get started with this installation guide. Continue Reading
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Feature
12 Apr 2023
CNN vs. GAN: How are they different?
Convolutional neural networks and generative adversarial networks are both deep learning models but differ in how they work and are used. Learn the ins and outs of CNNs and GANs. Continue Reading
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Definition
06 Apr 2023
Google AI
Google AI, formerly known as Google Research, is Google's artificial intelligence (AI) research and development branch for its AI applications. Continue Reading
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Definition
05 Apr 2023
neural radiance field (NeRF)
Neural radiance fields (NeRF) are a technique that generates 3D representations of an object or scene from 2D images by using advanced machine learning. Continue Reading
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News
23 Mar 2023
Don't count out Google and its AI chatbot Bard from AI race
The tech giant may have been forced to respond as Microsoft and OpenAI dominate the generative AI market. However, it might still come out on top of its competitors. Continue Reading
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Tip
16 Mar 2023
Why continuous training is essential in MLOps
Organizations with machine learning strategies must consider when evolving data needs require continuous training of ML models. Continue Reading
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News
14 Mar 2023
Google embeds generative AI features in cloud and Workspace
The tech giant's new API enables enterprises to scale and adopt models without their data becoming part of the training ground for large language models, the vendor said. Continue Reading
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Definition
14 Mar 2023
Google Duplex
Google Duplex is an artificial intelligence (AI) technology that mimics a human voice and makes phone calls on a person's behalf. Continue Reading
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Definition
10 Mar 2023
computer numerical control (CNC)
Computer numerical control (CNC) is a manufacturing method that automates the control, movement and precision of machine tools through the use of preprogrammed computer software, which is embedded inside the tools. Continue Reading
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Feature
10 Mar 2023
Exploring GPT-3 architecture
With 175 billion parameters, GPT-3 is one of the largest and most well-known neural networks available for natural language applications. Learn why people are so pumped about it. Continue Reading
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Tip
09 Mar 2023
No- and low-code AI's role in the enterprise
Low-code tools enable noncoders to build and deploy AI applications. The growing list of these tools ensures that AI development is no longer confined to experts. Continue Reading
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News
09 Mar 2023
Startup's latest large language model rivals GPT-3
Jurassic-2 is the latest model from AI21 Labs. The model is the successor to Jurassic-1, which was trained on 178 billion parameters, 3 billion parameters more than GPT-3. Continue Reading
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News
06 Mar 2023
Microsoft integrates GPT into Power Apps and AI Builder
The tech giant's new Power Platform features enable enterprises to use OpenAI’s GPT technology to create their own AI-powered bots or summarize and create content. Continue Reading
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Opinion
03 Mar 2023
The rise of automation and governance in MLOps
MLOps can make many of an organization's operations more efficient, but only when its automation capabilities are paired with effective governance strategies. Continue Reading
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Tip
27 Feb 2023
Inside the MLOps lifecycle stages
Developers tasked to train machine learning models are turning to the MLOps lifecycle. The different stages are meant to increase operational speed and efficiency. Continue Reading
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Feature
24 Feb 2023
ElevenLabs and the risks of voice-generating AI
The startup's technology is popular among content creators and also bad actors who use it maliciously. But the AI voice platform also raises the issue of what's real and fake. Continue Reading
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News
07 Feb 2023
ChatGPT bursts into Microsoft Bing as Google Bard rises
The AI search race heated up as Microsoft infused its struggling Bing search engine with OpenAI technology and Google introduced Bard, a lightweight version of its LaMDA chatbot. Continue Reading
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Feature
30 Jan 2023
How a digital retail firm uses enterprise search
Glean trains language models based on a customer's documents and other stored content. Its platform sits on users' technology stack to provide for smooth integration. Continue Reading
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News
19 Jan 2023
AI21 intros text-generating AI capability that cites sources
AI vendor AI21 Labs' Wordtune Spices is a writing assistant that provides users with different text options and links to sources so that writers know where the information is from. Continue Reading
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News
09 Jan 2023
AI platform helps medical company screen babies' eyes
Startup Iris Technology unveils its new platform for 200 users. Medical AI company Pr3vent uses the platform to train its AI model and remove bias from its model. Continue Reading
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Feature
09 Dec 2022
Making avatars and metaverse technologies more mature
While a digital human is likely to capture the attention of enterprises, those interacting with the avatar see ways the virtual being can be improved to help humans. Continue Reading
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News
08 Dec 2022
How enterprises determine whether to buy or build AI models
From the USPS to appliance company Conair, organizations employing machine learning technology sometimes need to determine whether it's better to buy or build capabilities. Continue Reading
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Tip
07 Dec 2022
Unlocking the potential of white box machine learning algorithms
Transparent, explainable machine learning algorithms have demonstrated benefits and use cases. Although white box AI is nascent and largely unknown, it's worth exploring further. Continue Reading
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News
30 Nov 2022
AWS adds governance, geospatial tools to Amazon SageMaker
The cloud computing giant added data governance and geospatial tools to its machine learning platform and provided 40 new data connectors to Data Wrangler. Continue Reading
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News
29 Nov 2022
Amazon boosts CodeWhisperer, AI and ML tools
AWS rolled out updates to a series of AI tools and services, highlighted by improvements to its CodeWhisperer coding system and Textract AI service for extracting document text. Continue Reading
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News
22 Nov 2022
How Cisco uses AI to find diverse suppliers
The digital communications technology giant employs machine learning vendor Tealbook to gain access to data that fits the types of suppliers it wants. Continue Reading
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Definition
16 Nov 2022
PyTorch
PyTorch is an open source machine learning (ML) framework based on the Python programming language and the Torch library. Continue Reading
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Feature
08 Nov 2022
How AI in weather prediction can aid human intelligence
AI and machine learning models are becoming more widely used in climate prediction and disaster preparedness to aid experts without replacing them. Continue Reading
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Feature
31 Oct 2022
Defining requirements key to manage machine learning projects
Machine learning projects are likely to fail without proper planning. 'Managing Machine Learning Projects' provides guidance on how to plan by defining ML project requirements. Continue Reading
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Feature
31 Oct 2022
Why and when to consider a feature store in machine learning
Feature stores exist to make data for training machine learning models reusable. Explore both the benefits and challenges of feature stores that organizations can experience. Continue Reading
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Definition
18 Oct 2022
polarity
Polarity is when an entity contains two distinct and opposite poles that can either attract or repel each other. Continue Reading
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News
12 Oct 2022
New Microsoft AI tools aim at business end users
Microsoft released new features for the Azure Cognitive Services suite, as well as a Form Recognizer and Responsible AI dashboard aimed at both data scientists and business users. Continue Reading
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News
11 Oct 2022
Google Cloud introduces new AI tools for business users
The tech giant released new a translation hub aimed at business users, a computer vision feature for the Vertex AI platform, and the OpenXLA Project open source initiative. Continue Reading
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News
28 Sep 2022
DataRobot-managed AI cloud now generally available
With the managed version of its cloud platform, the vendor will run machine learning projects for enterprises that don't want them on the public cloud. Continue Reading
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News
22 Sep 2022
Domino Data Lab partnerships target AI project management
The vendor has integrated its Nexus MLOps platform with Nvidia GPU architecture and the NetApp data management and storage system to help organizations better deploy ML projects. Continue Reading
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News
20 Sep 2022
Nvidia unveils Omniverse Cloud for metaverse applications
The new service lets enterprises build metaverse applications. The vendor also introduced new large language model services and unveiled upgrades to its H100 hardware line. Continue Reading
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News
26 Aug 2022
Troubled AI vendor DataRobot hit by more layoffs
The layoffs come after the former CEO quit amid criticism that he and top execs dumped stock as the company's financial outlook dimmed. The AI vendor is now in downsizing mode. Continue Reading
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News
24 Aug 2022
New funding for Anyscale boosts popular Ray AI platform
The startup raised $99 million and released a new version of its open source framework, which helps enterprises scale AI workloads and projects with available resources. Continue Reading
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News
19 Aug 2022
Why you need to consider using small data to train AI models
A smaller data set makes sense for certain applications, such as intelligent document processing. It is not helpful in cases in which a large volume is needed to avoid mistakes. Continue Reading
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News
17 Aug 2022
A hyper-personalized AI platform for community finance
Using the vendor's Cortex AI platform, DeepTarget created a digital experience platform that community finance institutions can use to predict what consumers will buy. Continue Reading
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News
09 Aug 2022
Nvidia targets metaverse with new Omniverse Avatar Engine
The vendor's new cloud engine will help organizations easily build avatars and digital assistants. Nvidia also revealed plans to evolve USD with partners such as Pixar. Continue Reading
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Definition
05 Aug 2022
Karnaugh map (K-map)
A Karnaugh map (K-map) is a visual method used to simplify the algebraic expressions in Boolean functions without having to resort to complex theorems or equation manipulations. Continue Reading
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Guest Post
04 Aug 2022
Why banks need MLOps for digital transformation
Financial institutions should look to MLOps to ease the development, deployment and management of machine learning models. MLOps is often ignored, yet banking will benefit from it. Continue Reading
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Feature
03 Aug 2022
How the economic downturn is affecting the AI sector
Enterprise budget cutting is slowing AI projects. Vendors may not feel the impact now but likely won't be spared. Meanwhile, venture capitalists have cut back investments. Continue Reading
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Definition
03 Aug 2022
truncation error
A truncation error is the difference between an actual and a truncated, or cut-off, value. Continue Reading