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
-
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
-
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
-
Definition
31 Oct 2024
What is dimensionality reduction?
Dimensionality reduction is a process and technique to reduce the number of dimensions -- or features -- in a data set. Continue Reading
-
Definition
31 Oct 2024
What is face detection and how does it work?
Face detection, also called facial detection, is a computer technology that identifies human faces in digital images and video. Continue Reading
-
Definition
28 Oct 2024
What is AIOps (artificial intelligence for IT operations)?
Artificial intelligence for IT operations (AIOps) is an umbrella term for the use of big data analytics, machine learning (ML) and other AI technologies to automate and enhance IT operations. Continue Reading
-
Definition
28 Oct 2024
What is conversational AI (conversational artificial intelligence)?
Conversational AI, also known as conversational artificial intelligence, is a type of AI that enables computers to understand, process and generate human language. Continue Reading
-
Definition
18 Oct 2024
What is a generative adversarial network (GAN)?
A generative adversarial network (GAN) is a machine learning (ML) model in which two neural networks compete by using deep learning methods to become more accurate in their predictions. Continue Reading
-
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
-
Tip
16 Oct 2024
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
-
Tip
09 Oct 2024
How to effectively manage AI projects in 12 steps
AI is a high priority for companies but results often fall short of expectations. These 12 steps will help you successfully manage AI projects and deliver business value. Continue Reading
-
Tip
08 Oct 2024
How small businesses can take advantage of AI
Small business owners see AI's potential for automation and transformation, yet concerns remain. This seven-step program will help AI implementations get off on the right track. Continue Reading
-
Feature
08 Oct 2024
10 top artificial intelligence certifications and courses for 2025
As AI adoption accelerates, AI certifications and courses have proliferated. These offerings go beyond the basics, deepening your knowledge of this rapidly evolving technology. Continue Reading
-
Tip
07 Oct 2024
Artificial intelligence vs. human intelligence: Differences explained
Artificial intelligence is humanlike. There are differences, however, between natural and artificial intelligence. Here are three ways AI and human cognition diverge. Continue Reading
-
Feature
07 Oct 2024
AI use cases in manufacturing
Initially slow to adopt digital transformation, manufacturers are recognizing the power of AI technologies as they seek ways to cut costs, boost productivity and improve products. Continue Reading
-
Definition
03 Oct 2024
What is Gen AI? Generative AI explained
Generative AI is a type of artificial intelligence technology that can produce various types of content, including text, imagery, audio and synthetic data. Continue Reading
-
Tip
02 Oct 2024
Compare 7 top AutoML tools for machine learning workflows
From cloud-based platforms to open source options, compare the pros and cons of leading AutoML tools, which automate key machine learning tasks to accelerate workflows. Continue Reading
-
Definition
01 Oct 2024
What is a decision tree in machine learning?
A decision tree is a flow chart created by a computer algorithm to make decisions or numeric predictions based on information in a digital data set. Continue Reading
-
Definition
25 Sep 2024
What is embodied AI? How it powers autonomous systems
Embodied AI refers to artificial intelligence systems that interact with and can learn from their environments using a suite of technologies that include sensors, motors, machine learning and natural language processing. Continue Reading
-
Tip
24 Sep 2024
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
-
Definition
23 Sep 2024
What is linear regression?
Linear regression is a statistical technique that identifies the relationship between the mean value of one variable and the corresponding values of one or more other variables. Continue Reading
-
Definition
23 Sep 2024
What is deep learning and how does it work?
Deep learning is a type of machine learning (ML) and artificial intelligence (AI) that trains computers to learn from extensive data sets in a way that simulates human cognitive processes. Continue Reading
-
Tip
18 Sep 2024
AI in banking: Benefits, risks, what's next
AI technologies bring operational efficiency and customer benefits to banking. Learn how GenAI and other AI tools are transforming financial services and risks to watch out for. Continue Reading
-
Definition
18 Sep 2024
What is a neural network?
A neural network is a machine learning (ML) model designed to process data in a way that mimics the function and structure of the human brain. Continue Reading
-
Tip
11 Sep 2024
13 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
-
Tip
10 Sep 2024
AI transparency: What is it and why do we need it?
As AI adoption has increased, the concept of AI transparency has broadened in scope and grown in importance. Learn what it means for enterprise AI teams. Continue Reading
-
Definition
09 Sep 2024
What is machine learning bias (AI bias)?
Machine learning bias, also known as 'algorithm bias' or 'AI bias,' is a phenomenon that occurs when an algorithm produces results that are systemically prejudiced due to erroneous assumptions in the machine learning (ML) process. Continue Reading
-
Tip
06 Sep 2024
7 essential steps to create a contact center RFP
Successful contact center RFPs are built on collaboration, vendor research, countless questions and answers, scorecards, shortlists, trial runs, bakeoffs and the final decision. Continue Reading
-
Definition
05 Sep 2024
What is machine learning operations (MLOps)?
Machine learning operations (MLOps) is the development and use of machine learning models by development operations (DevOps) teams. Continue Reading
-
Definition
28 Aug 2024
What is singularity in technology and AI?
In technology, the singularity describes a hypothetical future where technology growth is out of control and irreversible. Continue Reading
-
Definition
28 Aug 2024
What is natural language processing (NLP)?
Natural language processing (NLP) is the ability of a computer program to understand human language as it’s spoken and written -- referred to as natural language. Continue Reading
-
Definition
28 Aug 2024
What is narrow AI (weak AI)?
Narrow AI is an application of artificial intelligence technologies to enable a high-functioning system that replicates -- and perhaps surpasses -- human intelligence for a dedicated purpose. Continue Reading
-
Tip
27 Aug 2024
Contact center outsourcing: What businesses need to know
Businesses use contact center outsourcing to alleviate agent understaffing, expand customer service and reduce costs, but loss of control and service inconsistency are concerns. Continue Reading
-
Definition
26 Aug 2024
What is unsupervised learning?
Unsupervised learning is a type of machine learning (ML) technique that uses artificial intelligence (AI) algorithms to identify patterns in data sets that are neither classified nor labeled. Continue Reading
-
Definition
26 Aug 2024
What is language modeling?
Language modeling, or LM, is the use of various statistical and probabilistic techniques to determine the probability of a given sequence of words occurring in a sentence. Language models analyze bodies of text data to provide a basis for their word predictions. Continue Reading
-
Definition
26 Aug 2024
AI PC
An AI PC is a personal computer equipped with hardware and software components to run artificial intelligence (AI) applications and tasks. Continue Reading
-
Definition
26 Aug 2024
expert system
An expert system is a computer program that uses artificial intelligence (AI) technologies to simulate the judgment and behavior of a human or an organization that has expertise and experience in a particular field. Continue Reading
-
Definition
26 Aug 2024
AI winter
AI winter is a quiet period for artificial intelligence research and development. Continue Reading
-
Feature
26 Aug 2024
10 top AI and machine learning trends for 2024
Custom enterprise models, open source AI, multimodal -- learn about the top AI and machine learning trends for 2024 and how they promise to transform the industry. Continue Reading
-
Feature
22 Aug 2024
AI regulation: What businesses need to know in 2024
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 2024. Continue Reading
-
Tip
22 Aug 2024
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 business operations forward. Continue Reading
-
Definition
21 Aug 2024
What is supervised learning?
Supervised learning is a subcategory of machine learning (ML) and artificial intelligence (AI) where a computer algorithm is trained on input data that has been labeled for a particular output. Continue Reading
-
Tip
20 Aug 2024
10 strategies to improve contact center agent performance
Call monitoring, skills-based routing, positive reinforcement, training resources and coaching can help contact center agents improve their performance and customer interactions. Continue Reading
-
Feature
16 Aug 2024
History and evolution of contact centers
Alexander Graham Bell, Steve Jobs and the Baby Bells played notable roles in the contact center's transformation into the front line of communication for businesses and customers. Continue Reading
-
Definition
16 Aug 2024
What is machine learning? Guide, definition and examples
Machine learning is a branch of AI focused on building computer systems that learn from data. Continue Reading
-
Definition
15 Aug 2024
What is a backpropagation algorithm?
A backpropagation algorithm, or backward propagation of errors, is an algorithm that's used to help train neural network models. Continue Reading
-
Tutorial
14 Aug 2024
How to use and run Jupyter Notebook: A beginner's guide
Learn how to create your first project with Jupyter Notebook, a popular platform for presenting data science and machine learning work with interactive code, text and visuals. Continue Reading
-
Definition
13 Aug 2024
What is deepfake technology?
Deepfake technology is a type of artificial intelligence used to create convincing fake images, videos and audio recordings. Continue Reading
-
Tip
12 Aug 2024
How and why to run machine learning workloads on Kubernetes
Running ML model development and deployment on Kubernetes is an absolute must in a world where decoupling workloads can optimize resources and cut costs. Continue Reading
-
Tip
09 Aug 2024
10 best practices for contact center quality assurance
To ensure quality and results in the contact center, businesses must define clear metrics, use real-time analytics, seek customer feedback, upskill agents and automate everywhere. Continue Reading
-
News
01 Aug 2024
Enterprises struggle to find business value with GenAI
Enterprises chase an impractical immediate payback from GenAI and miss opportunities to use less expensive machine learning to solve problems, experts say. Continue Reading
-
Feature
30 Jul 2024
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
-
Definition
29 Jul 2024
What is an algorithm?
An algorithm is a procedure used for solving a problem or performing a computation. Continue Reading
-
Definition
29 Jul 2024
What is adversarial machine learning?
Adversarial machine learning is a technique used in machine learning (ML) to fool or misguide a model with malicious input. Continue Reading
-
Definition
29 Jul 2024
What is machine translation?
Machine translation technology enables the conversion of text or speech from one language to another using computer algorithms. Continue Reading
-
Definition
29 Jul 2024
What is anomaly detection? An overview and explanation
Anomaly detection is the process of identifying data points, entities or events that fall outside the normal range. Continue Reading
-
Definition
29 Jul 2024
What is clustering in machine learning and how does it work?
Clustering is a data science technique in machine learning that groups similar rows in a data set. Continue Reading
-
Definition
29 Jul 2024
What is natural language understanding (NLU)?
Natural language understanding (NLU) is a branch of artificial intelligence (AI) that uses computer software to understand input in the form of sentences using text or speech. Continue Reading
-
Feature
29 Jul 2024
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
-
Definition
29 Jul 2024
What are machine learning algorithms? 12 types explained
A machine learning algorithm is the method by which the AI system conducts its task, generally predicting output values from given input data. Continue Reading
-
Feature
26 Jul 2024
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
-
Feature
25 Jul 2024
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
-
Definition
25 Jul 2024
What is data labeling?
Data labeling is the process of identifying and tagging data samples commonly used in the context of training machine learning (ML) models. Continue Reading
-
Definition
24 Jul 2024
What is a data architect?
A data architect is an IT professional responsible for defining the policies, procedures, models and technologies used in collecting, organizing, storing and accessing company information. Continue Reading
-
Definition
23 Jul 2024
What is reinforcement learning?
Reinforcement learning (RL) is a machine learning training method that trains software to make certain desired actions. Continue Reading
-
Definition
19 Jul 2024
What is NumPy? Explaining how it works in Python
NumPy is an open source mathematical and scientific computing library for Python programming tasks. Continue Reading
-
Tip
19 Jul 2024
8 contact center challenges in 2024 and how to overcome them
Multifunctional contact centers must meet the expectations of savvy customers, hire and maintain qualified agents, monetize data, safeguard information and modernize operations. Continue Reading
-
News
17 Jul 2024
Google launches Distributed Cloud edge hardware
The hardware for highly regulated industries runs the Google Cloud infrastructure stack, data security services and the Vertex AI platform for running pretrained AI models. Continue Reading
-
Feature
17 Jul 2024
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
-
Feature
17 Jul 2024
25 machine learning interview questions with answers
Aspiring machine learning job candidates should be fluent in many aspects of machine learning, from statistical theory and programming concepts to general industry knowledge. Continue Reading
-
Definition
16 Jul 2024
tensor processing unit (TPU)
A tensor processing unit (TPU) is an application-specific integrated circuit (ASIC) specifically designed to accelerate high-volume mathematical and logical processing tasks typically involved with machine learning (ML) workloads. Continue Reading
-
Feature
16 Jul 2024
10 types of contact centers explained
Contact centers are the front line of communication between the enterprise and customers. But no two facilities are alike, so it's best to know which type fits business goals. Continue Reading
-
Tip
12 Jul 2024
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
-
Tip
11 Jul 2024
10 popular libraries to use for machine learning projects
Machine learning libraries expedite the development process by providing optimized algorithms, prebuilt models and other support. Learn about 10 widely used ML libraries. Continue Reading
-
News
10 Jul 2024
AWS intros GenAI app studio, updates Amazon Q and Bedrock
The cloud provider introduced new features that help enterprises create applications faster, while still applying responsible practices. It also unveiled new educational resources. Continue Reading
-
Tip
09 Jul 2024
What are the benefits of an MLOps framework?
While maintaining machine learning models throughout their lifecycles can be challenging, implementing an MLOps framework can enhance collaboration, efficiency and model quality. Continue Reading
-
Tip
09 Jul 2024
7 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 seven common obstacles. Continue Reading
-
Feature
08 Jul 2024
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
???topicInfoType.history_content???
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
-
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
-
Tip
11 Jun 2024
4 popular machine learning certificates to get in 2024
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
-
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
-
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
-
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
-
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
-
Definition
17 May 2024
Gemma
Gemma is a collection of lightweight open source generative AI models designed mainly for developers and researchers. Continue Reading
-
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
-
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
-
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
-
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
-
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
-
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
-
Tip
01 May 2024
Embedding models for semantic search: A guide
Embedding models in semantic search are changing how we interact with information by going beyond keyword matching to capture meaning and relationships in text and other data. Continue Reading
-
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