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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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
01 Nov 2023
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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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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Feature
10 Oct 2023
10 AI use cases in manufacturing
Manufacturing companies are turning to AI to streamline the way they do business and increase efficiency. Here are 10 common use cases. Continue Reading
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Tip
27 Sep 2023
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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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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22 Sep 2023
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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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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Feature
19 Sep 2023
Prep with 20 machine learning interview questions and answers
Aspiring machine learning job candidates should be fluent in varied aspects of machine learning, from statistical theory and programming concepts to general industry knowledge. 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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Feature
05 Sep 2023
Supervised vs. unsupervised learning: Experts define the gap
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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Feature
30 Aug 2023
What is regression in machine learning?
Regression in machine learning helps organizations forecast and make better decisions by revealing the relationships between variables. Learn how it's applied across industries. Continue Reading
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Tip
28 Aug 2023
What are machine learning models? Types and examples
Training data and algorithms are key, but there are many learning techniques, processes and practices that influence the selection, care and feeding of machine learning models. Continue Reading
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Tip
28 Aug 2023
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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Tip
28 Aug 2023
6 machine learning challenges facing businesses
Machine learning challenges cover the spectrum from ethical and cybersecurity issues to data quality and user acceptance concerns. Read on to learn about six common obstacles. Continue Reading
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Feature
25 Aug 2023
Attributes of open vs. closed AI explained
What's the difference between open vs. closed AI, and why are these approaches sparking heated debate? Here's a look at their respective benefits and limitations. Continue Reading
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Feature
24 Aug 2023
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
22 Aug 2023
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
22 Aug 2023
8 areas for creating and refining generative AI metrics
When gauging the success of generative AI initiatives, metrics should be agreed upon upfront and focus on the performance of the model and the value it delivers. Continue Reading
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Tip
16 Aug 2023
The history of artificial intelligence: Complete AI timeline
From the Turing test's introduction to ChatGPT's celebrated launch, AI's historical milestones have forever altered the lifestyles of consumers and operations of businesses. Continue Reading
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Tip
09 Aug 2023
4 types of learning in machine learning explained
Factoring performance, accuracy, reliability and explainability, data scientists consider supervised, unsupervised, semi-supervised and reinforcement models to reach best outcomes. 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
08 Aug 2023
What is boosting in machine learning?
Boosting is a technique used in machine learning that trains an ensemble of so-called weak learners to produce an accurate model, or strong learner. Learn how it works. Continue Reading
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Feature
02 Aug 2023
How to detect AI-generated content
AI- or human-generated? To test their reliability, six popular generative AI detectors were asked to judge three pieces of content. The one they got wrong may surprise you. Continue Reading
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Feature
28 Jul 2023
6 ways to reduce different types of bias in machine learning
As adoption of machine learning grows, companies must become data experts or risk results that are inaccurate, unfair or even dangerous. Here's how to combat machine learning bias. Continue Reading
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Tip
24 Jul 2023
4 popular machine learning certificates to get in 2023
AWS, Google, IBM and Microsoft offer machine learning certifications that can further your career. Learn what to expect from each one, as well as skills and tips you should know. 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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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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Tip
08 Jun 2023
Artificial intelligence vs. human intelligence: How are they different?
Artificial intelligence is humanlike. There are differences, however, between natural and artificial intelligence. Here are three ways AI and human cognition diverge. Continue Reading
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Tip
02 Jun 2023
AI transparency: What is it and why do we need it?
As the use of AI models has evolved and expanded, the concept of transparency has grown in importance. Learn about the benefits and challenges of AI transparency. Continue Reading
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Feature
17 May 2023
AI regulation: What businesses need to know in 2023
The rapid evolution and adoption of AI tools has policymakers scrambling to craft effective AI regulation and laws. Law professor Michael Bennett analyzes what's afoot in 2023. 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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Tip
05 May 2023
Types of AI algorithms and how they work
AI algorithms can help businesses gain a competitive advantage. Learn the main types of AI algorithms, how they work and why companies must thoroughly evaluate benefits and risks. 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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Tip
25 Apr 2023
How do big data and AI work together?
Enterprises are leaning on big data to train AI algorithms and, in turn, are using AI to understand big data. The results are pushing operations forward. Continue Reading
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Tip
19 Apr 2023
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
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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Tip
12 Apr 2023
GAN vs. transformer models: Comparing architectures and uses
Discover the differences between generative adversarial networks and transformers, as well as how the two techniques might combine in the future to provide users with better results. Continue Reading
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Tip
12 Apr 2023
How to prevent deepfakes in the era of generative AI
Businesses must be ever vigilant in detecting the increasingly sophisticated nuances of deepfakes by applying security techniques that range from the simple to the complex. 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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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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Tip
07 Mar 2023
10 top AI and machine learning trends for 2023
Multi-modal learning, ChatGPT, the industrial metaverse -- learn about the top trends in AI for 2023 and how they promise to transform how business gets done. 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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Tip
24 Jan 2023
The top 5 benefits of AI in banking and finance
The strategic deployment of AI in banking and finance can bring substantial benefits. Learn about how AI tools are transforming financial services and the risks to be mindful of. Continue Reading
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Tip
20 Jan 2023
10 steps to achieve AI implementation in your business
AI technologies can enable and support essential business functions. But organizations must have a solid foundation in place to bring value to their business strategy and planning. 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
05 Jan 2023
18 data science tools to consider using in 2023
Numerous tools are available for data science applications. Read about 18, including their features, capabilities and uses, to see if they fit your analytics needs. 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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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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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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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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News
27 Jul 2022
Ex-Google engineer Blake Lemoine discusses sentient AI
Ex-Google engineer Blake Lemoine discusses why LaMDA and other AI systems may be considered sentient and explains exactly how much AI systems know about consumers. Continue Reading
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News
22 Jul 2022
OpenAI Dall-E could spark enterprise creativity
The natural language tool could entice enterprise users who create content and are interested in the metaverse -- if it can pass muster with the corporate compliance team. Continue Reading
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News
21 Jul 2022
DataRobot CEO resigns amid turmoil
DataRobot CEO Dan Wright resigned amid turmoil surrounding 'immoral' stock sales and layoffs. His departure follows the protest resignation of DataRobot's chief AI evangelist last week. Continue Reading
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News
20 Jul 2022
AI predictive analytics startup aims for data analysts
Pecan AI has raised $116 million for its predictive business intelligence platform aimed at data and business analysts. The platform automates model building and deployment. Continue Reading
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Feature
15 Jul 2022
The future of data science: Career outlook and industry trends
The future of data science as a profession is unclear, as new technologies change the responsibilities of data scientists. It may also soon change the nature of the job. Continue Reading
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Feature
12 Jul 2022
AI for video editing: How one startup is doing it
The vendor's Magnifi platform enables enterprises to generate clips from live or prerecorded videos. The platform uses AI and computer vision to create short clips. Continue Reading
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News
06 Jul 2022
5G networks vulnerable to adversarial ML attacks
A team of academic researchers introduced an attack technique that could disrupt 5G networks, requiring new ways to protect against adversarial machine learning attacks. Continue Reading
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News
29 Jun 2022
Salesforce users get more low-code automation, including RPA
Salesforce integrates MuleSoft RPA and Composer with Salesforce Flow, which avails low-code process automation and bot creation to line-of-business users. Continue Reading
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News
07 Jun 2022
DataRobot AI hits Google Cloud Marketplace, adds GitHub
The AI vendor puts its products on Google Cloud Marketplace and integrates with GitHub and other major online platforms including Sumo Logic, Splunk, Datadog and Zendesk. Continue Reading
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News
05 May 2022
Domino Data Lab releases latest MLOps platform update
Domino 5.2 includes new features for data scientists to find the best model development environment and use Snowflake by automating model deployment to Snowflake's Data Cloud. Continue Reading
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News
27 Apr 2022
HPE targets machine learning with AI platforms
The Machine Learning Development System is a full stack of software and hardware for training and building models. Swarm Learning enables enterprises to share data at the edge. Continue Reading
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Feature
14 Apr 2022
Combating AI bias in the financial sector
Companies must use explainable AI to avoid making unfair and biased decisions about consumers. Some use machine learning tools; others avoid personally identifying information. Continue Reading
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News
14 Apr 2022
How Cerebras CS-2 update stands up to competitors' offerings
The AI vendor's update now includes tighter support for PyTorch and TensorFlow. Focused on complex deep learning applications, Cerebras competes with Microsoft Azure and Nvidia. Continue Reading
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News
06 Apr 2022
Monitaur makes AI governance tool generally available
GovernML helps enterprises determine policies surrounding responsible and ethical AI. It also helps enterprises determine their risk management policies. Continue Reading
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Feature
04 Apr 2022
Spotify personalizes audio experiences with machine learning
The streaming platform builds models using analytics, data from users and content to create a personalized audio experience for users and try to keep them as long-term customers. Continue Reading
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News
18 Mar 2022
How AI can counteract disinformation in Russia-Ukraine war
Irina Rish, an AI expert at the University of Montreal, discusses the use of bots to combat disinformation and other ways AI technology can be used non-violently in warfare. Continue Reading
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News
17 Mar 2022
DataRobot aims AI Cloud 8.0 at 'unpredictable market'
The updated platform enables organizations to adapt to fast-changing market conditions and perform continuous AI operations. The platform also includes integrations with Snowflake. Continue Reading
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Feature
07 Mar 2022
Swiss retailer uses open source Ray tool to scale AI models
Ricardo uses Anyscale's Ray for scaling its product classification models. Ray helps enterprises scale their applications from a laptop to the cloud. Continue Reading
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News
04 Mar 2022
Data crucial for finance companies using AI
Organizations in credit, banking and insurance must pay attention to data to build explainable models. This Q&A with an AI vendor CEO explores data, governance and explainability. Continue Reading