Best Machine Learning Software for Small Business

RZT aiOS provides all the benefits of a unified AI platform, and more. It's not just a platform, it's an Operating System that connects, manages, and unifies all your AI initiatives. AI developers can now do what used to take months in days thanks to aiOS process management which dramatically increases their productivity. This Operating System provides an intuitive environment for AI development. It allows you to visually build models, explore data and create processing pipelines. You can also run experiments and view analytics. It's easy to do all of this without any advanced software engineering skills.

Machine Learning made simple for everyone The leading Machine Learning platform will take your business to the next level. Get data-driven decisions now! No more cumbersome or expensive solutions. Machine Learning that works. BigML offers a variety of Machine Learning algorithms that are robustly engineered and can be applied across your company to solve real-world problems. You can avoid dependencies on multiple libraries that will increase complexity, maintenance costs, or technical debt in your projects. BigML allows unlimited predictive applications in all industries, including aerospace, automotive and energy, entertainment, financial, financial services, food and healthcare, IoT pharmaceutical, transportation, telecommunications and many more. Supervised Learning: Classification and regression (trees and ensembles, logistic regressions and deepnets), as well as time series forecasting.

Your contact center is your greatest untapped resource. It's where customers can continuously coach your business. PrediCX, an AI platform that unlocks this value through predictive insight and automation across every channel to optimize customer experience and customer service, is called PrediCX. AI can be used to extract predictive insights from every customer interaction, regardless of the channel. Recommendations to improve profitability and customer service. Receive early warnings about issues and automatic coaching. You can quickly track any urgent complaints or enquiries and point your customers to the best resource or channel. AI uses concepts and not keywords to classify incoming comments so that analysis is accurate, insightful, and not predetermined. Customer feedback is not overlooked. Automated triage of queries from digital channels, automatically classify agents and assist them, and enhance chatbots.

PredictSense is an AI-powered machine learning platform that uses AutoML to power its end-to-end Machine Learning platform. Accelerating machine intelligence will fuel the technological revolution of tomorrow. AI is key to unlocking the value of enterprise data investments. PredictSense allows businesses to quickly create AI-driven advanced analytical solutions that can help them monetize their technology investments and critical data infrastructure. Data science and business teams can quickly develop and deploy robust technology solutions at scale. Integrate AI into your existing product ecosystem and quickly track GTM for new AI solution. AutoML's complex ML models allow you to save significant time, money and effort.

Reach strong and transparent audiences or lookalikes to your ads. You can sell more with the most valuable Enhencer audiences via Facebook, Instagram, and Google campaigns. In minutes, integrate your ecommerce website with Shopify Connect or Google Tag Manager. Enhencer will automatically collect all the data you need from your website visitors across all ecommerce platforms. Enhencer's AI-Engine, which is self-learning, will automatically determine and extract the most valuable visitors from your website based on their behavior. To boost your Facebook and Google Ads campaigns, you can obtain the most relevant lookalike and real-time retargeting audiences for your brand and products. Enhencer clearly presents the audience segments. This allows you to understand how website behavior leads to a sale. Real-time Enhencer audiences allow you to keep up with the changing trends and fast-paced e-commerce industry.

Hopsworks is an open source Enterprise platform that allows you to develop and operate Machine Learning (ML), pipelines at scale. It is built around the first Feature Store for ML in the industry. You can quickly move from data exploration and model building in Python with Jupyter notebooks. Conda is all you need to run production-quality end-to-end ML pipes. Hopsworks can access data from any datasources you choose. They can be in the cloud, on premise, IoT networks or from your Industry 4.0-solution. You can deploy on-premises using your hardware or your preferred cloud provider. Hopsworks will offer the same user experience in cloud deployments or the most secure air-gapped deployments.

Cloud AutoML is a set of machine learning products that allows developers with limited machine-learning expertise to create high-quality models tailored to their business needs. It uses Google's state of the art neural architecture and transfer learning search technology. Cloud AutoML uses more than 10 years' of Google Research technology to help machine learning models achieve faster performance, better predictions, and more accurate predictions. Cloud AutoML's graphical user interface makes it easy to build, evaluate, improve, deploy, and test models based upon your data. Only a few clicks away is your custom machine learning model. Google's human-labeling service can assign a team to clean and annotate your labels. This will ensure that your models are trained with high-quality data.

Machine teaching that is highly efficient An annotation tool powered with active learning. Prodigy is a scriptable tool that allows data scientists to do annotations themselves. This allows for a new level in rapid iteration. Transfer learning technologies allow you to train production-quality models using very few examples. Prodigy allows you to take full advantage modern machine learning by using a more agile approach for data collection. You'll be more productive, more independent, and deliver more successful projects. Prodigy combines state-of-the art insights from machine learning with user experience. You are only required to annotate examples that the model doesn't already know. The web application is flexible, powerful, and follows modern UX principles. It's simple to understand: it's designed for you to focus on one decision at the time and keep you clicking, much like Tinder for data.

A class-agnostic, pixel-perfect automated annotation platform. Built for teams that have a lot of data and strict quality requirements but little time. Ground truth creation can be scaled up 10x. Collaborate with unlimited team members, annotators and seamlessly integrate into your deep learning pipeline. Create ground truth 10x faster with pixel-perfect annotations. Use V7's intuitive tools for labeling data and automating your ML pipelines. The ultimate image and Video Annotation Solution

MyDataModels' best-in-class predictive analytics model TADA allows professionals to use their Small Data to improve their business. It is a simple-to-use tool that is easy to set up. TADA is a predictive modeling tool that delivers fast and useful results. With our 40% faster automated data preparation, you can transform your time from days to just a few hours to create ad-hoc effective models. You can get results from your data without any programming or machine learning skills. Make your time more efficient with easy-to-understand models that are clear and understandable. You can quickly turn your data into insights on any platform and create automated models that are effective. TADA automates the process of creating predictive models. Our web-based pre-processing capabilities allow you to create and run machine learning models from any device or platform.

Easy deployment, management, monitoring, and security of AI models in production. Modzy is an Enterprise AI platform that makes it easy to scale trusted AI in your enterprise. Modzy can help you accelerate the deployment, management and governance of trusted AI. It offers enterprise-grade platform features such as security, APIs and SDKs that allow unlimited model deployment, management and governance. You can deploy on your hardware, private cloud, or public cloud. Includes AirGap deployments, and tactical edge. Auditing and governance for central AI management. This will give you access to all AI models in production in real time. The world's fastest explanation (beta), deep neural network solution, creating audit logs for model predictions. High-tech security features to prevent data poisoning, as well as a full-suite patented Adversarial Defence to protect models in production.

Your inventory is just as important as your ad revenue. Browsi Revenue OS instantly increases your bottom line. You can leverage 100+ data points to solve pricing, scale and viewability problems in real-time. Why serve the same ad layout to get better results? AI can personalize ads for each user and page to increase viewability, scale, and UX. Every inventory must be optimized for visibility. Viewability optimization cannot be done in real-time because there are many attributes that are recalculated every page load. Browsi's AI transforms 100% of a publisher’s ad layout into an agile setup that increases viewability and allows advertisers to offer premium inventory in real-time. Impressions scale should not be compromised by viewable inventory. Browsi has access to over 100+ data points that allow it to respect both. Data-driven inventory doesn't mean you have to give up control. Publishers reap the benefits of traffic benchmarking, behavioral metrics, data-driven placement and reduced latency.

The Accern No-Code NLP Platform empowers citizen data scientists to extract insights from unstructured data, minimize time to value and maximize ROI with pre-built AI/ML/NLP solutions. Recognized as the first No-Code NLP platform and industry leader with the highest accuracy scores, Accern also enables data scientists to customize end-to-end workflows that enhance existing models and enrich BI dashboards.

We make it easy for you to add superhuman computer vision into your applications, devices, and processes to give yourself an unassailable competitive edge.

Arize's machine-learning observability platform automatically detects and diagnoses problems and improves models. Machine learning systems are essential for businesses and customers, but often fail to perform in real life. Arize is an end to-end platform for observing and solving issues in your AI models. Seamlessly enable observation for any model, on any platform, in any environment. SDKs that are lightweight for sending production, validation, or training data. You can link real-time ground truth with predictions, or delay. You can gain confidence in your models' performance once they are deployed. Identify and prevent any performance or prediction drift issues, as well as quality issues, before they become serious. Even the most complex models can be reduced in time to resolution (MTTR). Flexible, easy-to use tools for root cause analysis are available.

We are the only company that can autonomously tune applications across multiple applications. Opsani rightsizes an application automatically so that your cloud application runs faster and is more efficient. Opsani COaaS optimizes cloud workload performance using the latest AI and Machine Learning. It continuously reconfigures and tunes with every code release and load profile change. This is done while seamlessly integrating with one app or across your service delivery platform, while also scaling autonomously across thousands of services. Opsani makes it possible to solve all three problems autonomously and without compromise. Opsani's AI algorithms can help you reduce costs by up to 71% Opsani optimization continually evaluates trillions upon trillions of configuration possibilities and pinpoints the most effective combinations of resources, parameter settings, and other parameters.

IBM Watson Machine Learning, a full-service IBM Cloud offering, makes it easy for data scientists and developers to work together to integrate predictive capabilities into their applications. The Machine Learning service provides a set REST APIs that can be called from any programming language. This allows you to create applications that make better decisions, solve difficult problems, and improve user outcomes. Machine learning models management (continuous-learning system) and deployment (online batch, streaming, or online) are available. You can choose from any of the widely supported machine-learning frameworks: TensorFlow and Keras, Caffe or PyTorch. Spark MLlib, scikit Learn, xgboost, SPSS, Spark MLlib, Keras, Caffe and Keras. To manage your artifacts, you can use the Python client and command-line interface. The Watson Machine Learning REST API allows you to extend your application with artificial intelligence.

A platform that offers a variety of machine learning algorithms to meet data mining and analysis needs. Machine Learning Platform for AI offers end-to-end machine-learning services, including data processing and feature engineering, model prediction, model training, model evaluation, and model prediction. Machine learning platform for AI integrates all these services to make AI easier than ever. Machine Learning Platform for AI offers a visual web interface that allows you to create experiments by dragging components onto the canvas. Machine learning modeling is a step-by-step process that improves efficiency and reduces costs when creating experiments. Machine Learning Platform for AI offers more than 100 algorithm components. These include text analysis, finance, classification, clustering and time series.

Machine learning models can be deployed at scale with greater accuracy. With more models in production, R&D can be turned into ROI. Seldon reduces time to value so models can get to work quicker. Scale with confidence and minimize risks through transparent model performance and interpretable results. Seldon Deploy cuts down on time to production by providing production-grade inference servers that are optimized for the popular ML framework and custom language wrappers to suit your use cases. Seldon Core Enterprise offers enterprise-level support and access to trusted, global-tested MLOps software. Seldon Core Enterprise is designed for organizations that require: - Coverage for any number of ML models, plus unlimited users Additional assurances for models involved in staging and production - You can be confident that their ML model deployments will be supported and protected.

Kubernetes is a highly scalable platform for model inference that uses standards-based models. Trusted AI. KServe, a Kubernetes standard model inference platform, is designed for highly scalable applications. Provides a standardized, performant inference protocol that works across all ML frameworks. Modern serverless inference workloads supported by autoscaling, including a scale up to zero on GPU. High scalability, density packing, intelligent routing with ModelMesh. Production ML serving is simple and pluggable. Pre/post-processing, monitoring and explainability are all possible. Advanced deployments using the canary rollout, experiments and ensembles as well as transformers. ModelMesh was designed for high-scale, high density, and often-changing model use cases. ModelMesh intelligently loads, unloads and transfers AI models to and fro memory. This allows for a smart trade-off between user responsiveness and computational footprint.

NVIDIA Triton™, an inference server, delivers fast and scalable AI production-ready. Open-source inference server software, Triton inference servers streamlines AI inference. It allows teams to deploy trained AI models from any framework (TensorFlow or NVIDIA TensorRT®, PyTorch or ONNX, XGBoost or Python, custom, and more on any GPU or CPU-based infrastructure (cloud or data center, edge, or edge). Triton supports concurrent models on GPUs to maximize throughput. It also supports x86 CPU-based inferencing and ARM CPUs. Triton is a tool that developers can use to deliver high-performance inference. It integrates with Kubernetes to orchestrate and scale, exports Prometheus metrics and supports live model updates. Triton helps standardize model deployment in production.

Your ML model can be served in minutes in any cloud. Unified model packaging format that allows online and offline delivery on any platform. Our micro-batching technology allows for 100x more throughput than a regular flask-based server model server. High-quality prediction services that can speak the DevOps language, and seamlessly integrate with common infrastructure tools. Unified format for deployment. High-performance model serving. Best practices in DevOps are incorporated. The service uses the TensorFlow framework and the BERT model to predict the sentiment of movie reviews. DevOps-free BentoML workflow. This includes deployment automation, prediction service registry, and endpoint monitoring. All this is done automatically for your team. This is a solid foundation for serious ML workloads in production. Keep your team's models, deployments and changes visible. You can also control access via SSO and RBAC, client authentication and auditing logs.

Our Natural Language Processing (NLP) APIs offer best-in-class accuracy at a reasonable rate and cover all aspects NLP under one roof. You can save weeks of time creating and training language models. Our best-in-class APIs will help you get your app developed. We provide the foundations for creating your own apps, such as chatbots, sentiment analysis, and more. Text classification across multiple domains and in more than 100 languages. Perform sentiment analysis. Your business grows when we grow. We have simplified pricing so that you can easily scale your business as it grows. This is ideal for developers who create apps or build proof of concept. Go to the Dashboard to get your API Key. This key should be placed in the header of any API calls. To get started with coding, you can use our SDK in the language that you prefer. You can also refer to the 18 auto-generated code blocks.

It is a frustratingly slow process that requires development resources and know-how. Most models will never see the light of day. In minutes, you can ship full-stack applications. You can deploy models immediately, automatically generate API endpoints and quickly create UI using drag-and-drop components. To put models into production, you don't have to be a DevOps Engineer. Baseten allows you to instantly manage, monitor, and serve models using just a few lines Python. You can build business logic around your model, and sync data sources without any infrastructure headaches. Start with sensible defaults and scale infinitely with fine-grained controls as needed. You can read and write to your existing data sources or our built-in Postgres databases. Use headings, callouts and dividers to create engaging interfaces for business users.

Data scientists need innovative and efficient turn-key solutions. For quantum engineers, powerful circuit building blocks. Turn-key implementations of algorithms for data scientists, financial analysts, engineers. Explore problems in binary optimization and machine learning on simulators and real hardware. You don't need to have any prior experience in quantum computing. To load classical data into quantum states, use NISQ data loader devices. Circuit building blocks are available for linear algebra with distance estimation or matrix multiplication circuits. You can create your own algorithms using our circuit building blocks. You can get a significant performance boost with D-Wave hardware. Also, the latest gate-based improvements will help you. Quantum data loaders and algorithms offer guaranteed speed-ups in clustering, classification, regression.