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
07 Nov 2024
Hyperparameter tuning techniques to optimize ML models
Hyperparameters play a key role in shaping how machine learning models learn from data. Learn how adjusting these settings can improve model accuracy and performance. Continue Reading
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Tip
16 Oct 2024
How businesses can measure AI success with KPIs
AI KPIs should include direct and indirect metrics. Learn about the standard and generative AI-specific KPIs that will help you gauge the success of your AI projects. 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
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Feature
02 Mar 2022
Enterprise hybrid AI use is poised to grow
Hybrid AI is an approach for businesses that combines human insight with machine learning and deep learning networks. Despite certain challenges, experts believe it shows promise. Continue Reading
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Feature
24 Feb 2022
How a soccer club uses facial recognition access control
The Los Angeles Football Club began using the Rock, an autonomous access platform, in 2021. Players and staff use the Rock to access facilities without a key system. Continue Reading
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News
23 Feb 2022
SambaNova unveils GPT Banking for financial industry
The product is aimed at giving financial institutions deep learning language capabilities. However, deep learning is hard to navigate in the finance industry. Continue Reading
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Feature
17 Feb 2022
Automated machine learning improves project efficiency
Until recently, machine learning projects had a small chance of success given the amount of time they require. Automated machine learning software speeds up the process. Continue Reading
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Feature
17 Feb 2022
Learn the benefits of interpretable machine learning
In this excerpt from 'Interpretable Machine Learning with Python,' read how machine learning models and algorithms add value when they are both interpretable and explainable. Continue Reading
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News
17 Feb 2022
AI vendor H2O.ai introduces new deep learning tool
H2O Hydrogen Torch can be used in healthcare, HR and customer experience settings. Users can make models for image, video and natural language processing applications. Continue Reading
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Feature
16 Feb 2022
AutoML platforms push data science projects to the finish line
Data science projects often have trouble reaching the production phase, but automated machine learning platforms are accelerating data scientists' work to help them come to fruition. Continue Reading
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Feature
16 Feb 2022
Interpretability and explainability can lead to more reliable ML
Interpretability and explainability as machine learning concepts make algorithms more trustworthy and reliable. Author Serg Masís assesses their practical value in this Q&A. Continue Reading
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Feature
27 Jan 2022
Piloting machine learning projects through harsh headwinds
To get machine learning projects off the ground and speed deployments, data science teams need to ask questions on a host of issues ranging from data quality to product selection. Continue Reading
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News
24 Jan 2022
Silicon Labs launches new AI/ML chips, toolkit for edge
The chip vendor's new wireless SoC aims to bring AI and machine learning to the IoT. The systems also use the Matter IP-based protocol to wirelessly connect devices. Continue Reading
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Definition
21 Jan 2022
predictive modeling
Predictive modeling is a mathematical process used to predict future events or outcomes by analyzing patterns in a given set of input data. Continue Reading
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News
19 Jan 2022
Nvidia releases updates to AI enterprise suite
The AI suite includes a full integration with Tanzu, giving enterprises the flexibility to run workloads on containers and VMs. The vendor also introduced two new servers. Continue Reading
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News
13 Jan 2022
Lucidworks releases AI-powered search platform
The vendor's SaaS platform includes a newly released application, Connected Search. It's the first of several releases expected over the next year. Continue Reading
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Feature
29 Dec 2021
Tips and tricks for deploying TinyML
A typical TinyML deployment has many software and hardware requirements, and there are best practices that developers should be aware of to help simplify this complicated process. Continue Reading
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Feature
28 Dec 2021
Cryptocurrency broker uses Ada AI platform for better CX
LiteBit partnered with the customer service vendor in 2017 when the cryptocurrency market was booming. Since then, it has been using the vendor's AI-powered chatbot. Continue Reading
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Feature
28 Dec 2021
Top technology trends come down to CIO strategy in 2022
Rather than feel the wave of top tech trends of 2022 wash over them, CIOs should focus on business goals to guide their emerging tech strategy. Continue Reading
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Feature
20 Dec 2021
Why TinyML use cases are taking off
TinyML technology can successfully collect and analyze data in real scenarios, as demonstrated in various use cases. Continue Reading
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News
16 Dec 2021
DataRobot platform gets new tools for data scientists
The AI vendor released Core and 7.3. Core uses Zepl's technology, while 7.3 enables data science teams to employ models that combine complex rules and business logic. Continue Reading
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Tip
15 Dec 2021
5-step predictive analytics process cycle
A viable predictive model that yields valuable outcomes requires a methodical team approach to goal-setting, data integrity and model development, deployment and validation. Continue Reading
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News
02 Dec 2021
AWS SageMaker equipped with new features for model building
The tech giant revealed new tools for its AI and machine learning platforms geared toward making model building easier for enterprises and users. Continue Reading
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News
30 Nov 2021
AWS intros SageMaker Canvas no-code machine learning service
The service enables users to build machine learning models and generate accurate predictions without writing code. It supports both on-premises and cloud deployments. Continue Reading
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Feature
18 Nov 2021
Why optimizing machine learning models is important
A look at why AI needs optimization and how it speeds up inferencing, helps deploy models on small devices and reduces memory footprint. Continue Reading
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Feature
17 Nov 2021
Machine learning on microcontrollers enables AI
Using today's advanced AI systems to run machine learning on smaller devices like microprocessors offers benefits, but also limits, which experts are working to surmount. Continue Reading
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News
16 Nov 2021
Alluxio accelerates data orchestration, raises $50M
Connecting disparate sources of data for analytics and machine learning gets faster in the vendor's latest platform update, released alongside a Series C funding round. Continue Reading
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News
09 Nov 2021
Nvidia intros AI Omniverse Avatar generator for enterprises
Nvidia CEO Jensen Huang, in a conference keynote, promotes a host of new and updated tools and technologies, highlighted by an AI avatar maker for enterprises. Continue Reading
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News
04 Nov 2021
Women-led data labeling AI startup raises $70M in Series B
The women-led training data vendor’s fundraising success is notable of the lack of women in tech. Sama also is mission driven, aiming to lift people out of poverty in Africa. Continue Reading
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Feature
29 Oct 2021
Autonomous vehicle technology advancing amid big challenges
Self-driving vehicles won't be widely viable commercially until their AI guidance systems are better than human drivers and can adjust to unpredictable road circumstances. Continue Reading
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News
20 Oct 2021
SambaNova Systems now offers GPT AI-powered language model
The vendor said its new offering will save enterprises time and money as they adopt language models. It also said the service makes the language model more accessible than before. Continue Reading
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News
12 Oct 2021
Google, partners launch new tools for Vertex AI ML platform
The tech giant released a series of new tools and applications, some with partners, for the automated machine learning platform it launched in May 2021. Continue Reading
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News
11 Oct 2021
IBM introduces Environmental Intelligence Suite
The tech giant said the new software suite from its weather subsidiary will help organizations prepare for climate risk and weather disasters such as wildfires and flooding. Continue Reading
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News
07 Oct 2021
Machine learning development for autonomous vehicles
AI experts from the autonomous vehicle technology industry discuss automation, spotting flaws in and speeding up machine learning systems and accounting for changes in real time. Continue Reading
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News
05 Oct 2021
Dell introduces Validated Design for AI at VMworld 2021
The tech vendor revealed a new partnership with AI GPU maker Nvidia at VMWorld 2021 aimed at providing an AI and machine learning platform for IT users in virtualized environments. Continue Reading
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News
15 Sep 2021
DataRobot AI Cloud gives users multi-cloud capabilities
DataRobot unveiled its cloud, giving users access to technologies and applications the vendor obtained with a series of recent and older acquisitions. Continue Reading
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News
15 Sep 2021
Tableau and DotData partner on AI automation, visualization
Tableau and DotData partner to help data scientists and engineers accelerate machine learning automation while adding a visualization layer to model building. Continue Reading
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Guest Post
14 Sep 2021
Model optimization methods to cut latency, adapt to new data
This last part of the series on machine learning explains two final model optimization techniques: lightweight model implementation and incremental model learning. Continue Reading
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News
14 Sep 2021
AI hardware and software: The key to eBay's marketplace
At the AI Hardware summit 2021, an eBay exec discusses how its similarity system enables it to build an AI-driven marketplace for better latency and throughput. Continue Reading
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News
31 Aug 2021
Databricks raises $1.6B more to boost data lakehouse
Investors are super confident in the growth potential for cloud data management and analytics as the impact of the Snowflake IPO continues to ripple through the industry. Continue Reading
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Feature
26 Aug 2021
Energy consumption of AI poses environmental problems
Data centers and large AI models use massive amounts of energy and are harmful to the environment. Businesses can take action to lower their environmental impact. Continue Reading
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Guest Post
20 Aug 2021
ML model optimization with ensemble learning, retraining
Making ML models better post-deployment can be accomplished. Learn the ins and outs of two key techniques: ensemble learning and frequent model retraining. Continue Reading
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Feature
18 Aug 2021
How to increase the success rate of data science projects
Most data science initiatives don't produce value due to obstacles like poor data quality, but CNN senior lead of product analytics Bryce Macher has a plan for success. Continue Reading
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Feature
16 Aug 2021
Solving the AI black box problem through transparency
Ethical AI black box problems complicate user trust in the decision-making of algorithms. As AI looks to the future, experts urge developers to take a glass box approach. Continue Reading
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Feature
12 Aug 2021
Why transparency in AI matters for businesses
To ensure model accuracy, businesses need to understand why their machine learning models make their decisions. Certain tools and techniques can help with that. Continue Reading
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Guest Post
27 Jul 2021
3 ways to evaluate and improve machine learning models
Training performance evaluation, prediction performance evaluation and baseline modeling can refine machine learning models. Learn how they work together to improve predictions. Continue Reading
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News
27 Jul 2021
DataRobot acquires Algorithmia to further MLOps goal
DataRobot continues to pursue its growth-by- acquisition strategy by buying MLOps vendor Algorithmia in a bid to become a full-service machine learning platform provider. Continue Reading
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Definition
12 Jul 2021
recurrent neural networks
A recurrent neural network (RNN) is a type of artificial neural network commonly used in speech recognition and natural language processing. Continue Reading
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Guest Post
28 Jun 2021
Discover 2 unsupervised techniques that help categorize data
Two unsupervised techniques -- category discovery and pattern discovery -- solve ML problems by seeking similarities in data groups, rather than a specific value. Continue Reading
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Feature
23 Jun 2021
Combating racial bias in AI
By employing a diverse team to work on AI models, using large, diverse training sets, and keeping a sharp eye out, enterprises can root out bias in their AI models. Continue Reading
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Guest Post
16 Jun 2021
2 supervised learning techniques that aid value predictions
Learn how two supervised machine learning techniques -- numerical prediction and category prediction -- work to predict values and, thus, can aid model training. Continue Reading
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Definition
08 Jun 2021
fuzzy logic
Fuzzy logic is an approach to computing based on "degrees of truth" rather than the usual "true or false" (1 or 0) Boolean logic on which the modern computer is based. Continue Reading
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Feature
08 Jun 2021
10 AI tech trends data scientists should know
The rising environmental and monetary costs of deep learning are catching enterprises' attention, as are new AI techniques like graph neural networks and contrastive learning. Continue Reading
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Guest Post
08 Jun 2021
Wrangling data with feature discretization, standardization
A variety of techniques help make data useful in machine learning algorithms. This article looks into two such data-wrangling techniques: discretization and standardization. Continue Reading
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News
03 Jun 2021
L'Oréal to 'revolutionize' beauty services using Google Vertex
ModiFace says it will save many hours developing AI algorithms by exploiting the compute power and AI tools of Google Vertex to create digitized beauty services. Continue Reading
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News
27 May 2021
Databricks steps up in competitive machine learning market
At its Data + AI Summit, Databricks introduced AutoML, glass box tools and Delta Lake-based Feature Store capabilities for its AI platform. Continue Reading
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News
21 May 2021
Google racing to catch up in growing enterprise AI market
At Google I/O this week, the tech giant launched a new enterprise machine learning platform and language recognition model, and advanced other AI products under development. Continue Reading
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News
18 May 2021
Google Cloud debuts Vertex AI managed ML platform with MLOps
Users can build, test and deploy machine learning models and put them in production faster with Google Cloud's Vertex AI platform, which contains new and existing Google AI tools. Continue Reading
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Guest Post
11 May 2021
2 data-wrangling techniques for better machine learning
Before data can be usefully inputted into algorithms, it must first be prepared. Learn two of the techniques that do the job and make machine learning work. Continue Reading
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Tip
07 May 2021
11 data science skills for machine learning and AI
As companies realize the power of data, they're tasked with finding data science practitioners with AI and ML skill sets to help them use the data to make better business decisions. Continue Reading
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Feature
06 May 2021
How to detect bias in existing AI algorithms
While enterprises can't eliminate bias from their data, they can significantly reduce bias by establishing a governance framework and employing more diverse employees. Continue Reading
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Feature
05 May 2021
Data scientists vs. machine learning engineers
The positions of data scientist and machine learning engineer are in high demand and are important for enterprises that want to make use of their data and use AI. Continue Reading
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Guest Post
22 Apr 2021
How feature selection, extraction improve ML predictions
In this discussion of machine learning patterns, learn how feature selection and feature extraction help make data more useful and, thus, improve predictions. Continue Reading
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Feature
14 Apr 2021
Data scientist shortage leaves organizations uncertain
Despite their desire to use data science in their decision-making process, some organizations can't find qualified data scientists to develop and run their data science initiatives. Continue Reading
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Guest Post
12 Apr 2021
Associativity, graphical summary computations aid ML insights
Associativity computation and graphical summary computation allow for more complex insights, and in turn improve predictions. Explore how these ML techniques work in practice. Continue Reading
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News
31 Mar 2021
OSDU Data Platform opens door to new apps in energy sector
A new OSDU standard aims to bring information from oil, gas, wind, solar and other sources into a single data platform to help energy companies address future demand. Continue Reading
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Feature
30 Mar 2021
Synthetic data for machine learning combats privacy, bias issues
Synthetic data generation for machine learning can combat bias and privacy concerns while democratizing AI for smaller companies with data set issues. Continue Reading
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Guest Post
23 Mar 2021
Common ML patterns: Central tendency and variability
Four common patterns provide approaches to solving machine-learning problems. Learn how two -- central tendency computation and variability computation -- work. Continue Reading
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Guest Post
05 Mar 2021
Unsupervised machine learning: Dealing with unknown data
Learn how machine learning works when dealing with unclassified, unlabeled data sets and how, using certain algorithms and other practices, the system can learn on its own. Continue Reading
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Guest Post
05 Mar 2021
The supervised approach to machine learning
In part 2 of our machine learning tutorial, learn how to use the supervised learning approach to machine learning to produce the best predictions. Continue Reading
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Definition
05 Mar 2021
dropout
Dropout refers to data, or noise, that's intentionally dropped from a neural network to improve processing and time to results. Continue Reading
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Feature
01 Mar 2021
AWS SageMaker training, making machine learning accessible
Making machine learning more accessible and helping developers with AWS SageMaker training is at the core of Julien Simon's book, 'Learn Amazon SageMaker.' Continue Reading
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Guest Post
18 Feb 2021
Introduction to using machine learning
The first part of our machine learning series, excerpted from training materials for Arcitura's Machine Learning Specialist certification, introduces algorithms, models and model training. Continue Reading
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Feature
16 Feb 2021
Training GANs relies on calibrating 2 unstable neural networks
Understanding the complexities and theory of dueling neural networks can carve out a path to successful GAN training. Continue Reading
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Feature
31 Dec 2020
KDD in data mining assists data prep for machine learning
While data scientists are often familiar with data mining, the deeper knowledge discovery in databases (KDD) procedure can help prepare data to train machine learning algorithms. Continue Reading
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News
01 Dec 2020
AWS releases machine learning services for industrial clients
AWS released a mix of hardware, software and cloud-based services to help manufacturing clients better manage workplace safety and machine health. Continue Reading
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Feature
23 Nov 2020
9 data quality issues that can sideline AI projects
The quality of your data affects how well your AI and machine learning models will operate. Getting ahead of these nine data issues will poise organizations for successful AI models. Continue Reading
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Feature
26 Oct 2020
SharePoint Syntex automatically uncovers document metadata
AI can help organizations automatically uncover metadata and tag documents. Discover how Microsoft's SharePoint Syntex achieves this using machine learning and machine teaching. Continue Reading
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Feature
21 Sep 2020
How to troubleshoot 8 common autoencoder limitations
Autoencoders' ability for automated feature extraction, data preparation, and denoising are complicated by their common problems and limitations in usage. Continue Reading
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Feature
31 Aug 2020
Responsible AI champions human-centric machine learning
Encompassing ethics, transparency and human centricity, responsible AI is an effective approach to deploying machine learning models and achieving actionable insights. Continue Reading
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Feature
25 Aug 2020
Bias in machine learning examples: Policing, banking, COVID-19
Human bias, missing data, data selection, data confirmation, hidden variables and unexpected crises can contribute to distorted machine learning models, outcomes and insights. Continue Reading
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Tip
11 Aug 2020
Data science's ongoing battle to quell bias in machine learning
Machine learning expert Ben Cox of H2O.ai discusses the problem of bias in predictive models that confronts data scientists daily and his techniques to identify and neutralize it. Continue Reading
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Feature
28 Jul 2020
14 best machine learning platforms for 2020
Turn ever-growing volumes of data into enterprise insights with the right platform for machine learning. Learn more about the vendors and products in this cutting-edge market. Continue Reading
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Feature
24 Jul 2020
AI in operations management relieves pressure on IT teams
AI, when combined with IT operations and DevOps teams, forms AIOps that can greatly improve how IT assets are developed, produced and managed. Continue Reading
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Feature
15 Jul 2020
Care provider uses automated machine learning in healthcare
An assisted living and transitional care provider uses DataRobot to automate the process of building and deploying machine learning models, enabling it to deploy models quickly. Continue Reading
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Feature
30 Jun 2020
Learn the business value of AI's various techniques
To drive business value from AI, business managers need to distinguish between the various AI techniques, starting with the many flavors of machine learning. Continue Reading
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Feature
29 Jun 2020
Deep learning's role in the evolution of machine learning
Machine learning has continued to evolve since its beginnings some seven decades ago. Learn how deep learning has catalyzed a new phase in the evolution of machine learning. Continue Reading
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News
17 Jun 2020
DataRobot training aims to upskill citizen data scientists
DataRobot unveiled a new data science training program, and enhancements to its enterprise AI platform, including a geospatial capability and automated time series anomaly detection. Continue Reading
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News
09 Jun 2020
NetApp hybrid cloud infrastructure management hits the Spot
NetApp makes its third cloud-related acquisition of 2020; the company says it will buy Spot, which uses machine learning to optimize cloud capacity and reduce infrastructure costs. Continue Reading
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Feature
29 May 2020
Cloud computing for machine learning offers on-demand tools
Automated machine learning and MLaaS tools are now being developed for the cloud, and enterprises need better workflows and infrastructure to successfully integrate the technology. Continue Reading
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Feature
30 Apr 2020
MLOps tools hope to boost enterprise model implementation
Taking notes from DevOps lifecycle management, machine learning operations tools and platforms seek to improve accuracy, ease integration problems and keep models trained. Continue Reading