Business Software for Google Cloud AutoML

Google Cloud is a cloud-based service that allows you to create anything from simple websites to complex applications for businesses of all sizes. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage limits. Use Google's core infrastructure, data analytics & machine learning. Secure and fully featured for all enterprises. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and messaging.

Evoltsoft's EV Charging Management Platform is a cutting-edge solution designed to streamline and enhance the operation of electric vehicle charging stations. With a focus on user-friendly functionality and advanced features, our platform ensures a seamless experience for both operators and users. Key features include real-time monitoring of charging station occupancy, intuitive mobile apps for users, IoT-based parking sensors, license plate recognition, online reservation and booking tools, cashless payment methods, and customizable charging infrastructure for electric vehicles (EVs). The platform goes beyond basic functionalities, offering scalability and expansion options for businesses with electric vehicle fleets. Advanced features include usage tracking and reporting, billing and payment integration, integration with fleet management software, remote monitoring and management, and integration with energy management systems.

At Axon Ivy, we help solve one of the largest problems organizations face today – streamlining inefficient business processes. Executives need to plan and execute the successful digital transformation of their businesses. Department heads need fast and flexible support for efficient processes. IT managers need an agile tool to orchestrate end-to-end business processes. In today’s business environment, we need speed and agility to keep up with constant changes and demands. Our award-winning (Forrester & Gartner) platform enhances our customers’ and partners’ businesses across all industries. Experience how easily and effectively you can digitize, orchestrate, and automate your business processes. Axon Ivy is a digital process automation (DPA) platform used by over 500 customers around the world. The platform covers all aspects of end-to-end automation and supports no-code, low-code as well as full-code development.

Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.

Dataiku is an advanced data science and machine learning platform designed to enable teams to build, deploy, and manage AI and analytics projects at scale. It empowers users, from data scientists to business analysts, to collaboratively create data pipelines, develop machine learning models, and prepare data using both visual and coding interfaces. Dataiku supports the entire AI lifecycle, offering tools for data preparation, model training, deployment, and monitoring. The platform also includes integrations for advanced capabilities like generative AI, helping organizations innovate and deploy AI solutions across industries.

A Shared & Automated Employee Benefits Placement Platform : ASPIRE HEALTH AI & Data Analytics focused first Employee Benefit & Group Health System (EBHS) - ASPIRE HEALT, a new category of enterprise software for brokers and carriers, to do just that. A EBHS enables brokers and carriers to manage the entire placement process in one shared system. To be successful, a BPS must have three core features: Purpose-built. There’s so much nuance in our industry. This is especially true in the mid-to-large market, where custom underwriting is required on every client. An effective EBHS accounts for the specific workflows and dynamic relationships across stakeholders—brokers, carriers, third-parties, and the client. Supports the entire placement process. Whether collecting a renewal or marketing for new business, a EBHS addresses end-to-end needs: from data collection to underwriting review and client presentation to implementation.

Rely on the most widely deployed observability platform available, built on the proven Elastic Stack (also known as the ELK Stack) to converge silos, delivering unified visibility and actionable insights. To effectively monitor and gain insights across your distributed systems, you need to have all your observability data in one stack. Break down silos by bringing together the application, infrastructure, and user data into a unified solution for end-to-end observability and alerting. Combine limitless telemetry data collection and search-powered problem resolution in a unified solution for optimal operational and business results. Converge data silos by ingesting all your telemetry data (metrics, logs, and traces) from any source in an open, extensible, and scalable platform. Accelerate problem resolution with automatic anomaly detection powered by machine learning and rich data analytics.

Luminoth is an open source toolkit for computer vision. Currently, we support object detection, but we are aiming for much more. : Luminoth is still alpha-quality release, which means the internal and external interfaces (such as command line) are very likely to change as the codebase matures. . If you want GPU support, you should install the GPU version of TensorFlow with pip install tensorflow-gpu, or else you can use the CPU version using pip install tensorflow. Luminoth can also install TensorFlow for you if you install it with pip install luminoth[tf] or pip install luminoth[tf-gpu], depending on the version of TensorFlow you wish to use.

Media Translation API delivers real-time speech translation to your content and applications directly from your audio data. Leveraging Google’s machine learning technologies, the API offers enhanced accuracy and simplified integration while equipping you with a comprehensive set of features to further refine your translation results. Improve user experience with low-latency streaming translation and scale quickly with straightforward internationalization. Google Cloud’s translation and speech recognition technologies have been widely recognized for their quality, thanks to Google’s machine learning expertise. Bringing cutting-edge technologies together, Media Translation API provides you with state-of-the-art audio translation along with the features of our popular Translation API and speech-to-text API. Translate content directly from your audio data. Media Translation API enhances the accuracy of interpretation by optimizing model integrations from audio to text.

Precise video analysis that recognizes over 20,000 objects, places, and actions in video. Extract rich metadata at the video, shot, or frame level. Create your own custom entity labels with AutoML Video Intelligence. Gain near real-time insights with streaming video annotation and object-based event triggers. Build engaging customer experiences with highlight reels, recommendations, and more. Recognize over 20,000 objects, places, and actions in stored and streaming video. Extract rich metadata at the video, shot, or frame level. Create your own custom entity labels with AutoML Video Intelligence. Search your video catalog the same way you search documents. Extract metadata that can be used to index, organize, and search your video content, as well as control and filter content for what’s most relevant. Gain insights from video in near real-time using streaming video annotation and trigger events based on objects detected.

The Google Cloud Healthcare API is a fully managed service that enables secure and scalable data exchange between healthcare applications and solutions. It supports industry-standard protocols and formats, including DICOM, FHIR, and HL7v2, allowing for the ingestion, storage, and analysis of healthcare data within the Google Cloud environment. By integrating with advanced analytics and machine learning tools such as BigQuery, AutoML, and Vertex AI, the API empowers healthcare organizations to derive actionable insights and drive innovation in patient care and operational efficiency.

ML.NET is a free, open source, and cross-platform machine learning framework designed for .NET developers to build custom machine learning models using C# or F# without leaving the .NET ecosystem. It supports various machine learning tasks, including classification, regression, clustering, anomaly detection, and recommendation systems. ML.NET integrates with other popular ML frameworks like TensorFlow and ONNX, enabling additional scenarios such as image classification and object detection. It offers tools like Model Builder and the ML.NET CLI, which utilize Automated Machine Learning (AutoML) to simplify the process of building, training, and deploying high-quality models. These tools automatically explore different algorithms and settings to find the best-performing model for a given scenario.

Beats is a free and open platform for single-purpose data shippers. They send data from hundreds or thousands of machines and systems to Logstash or Elasticsearch. Beats are open source data shippers that you install as agents on your servers to send operational data to Elasticsearch. Elastic provides Beats for capturing data and event logs. Beats can send data directly to Elasticsearch or via Logstash, where you can further process and enhance the data, before visualizing it in Kibana. Want to get up and running quickly with infrastructure metrics monitoring and centralized log analytics? Try out the Metrics app and the Logs app in Kibana. For more details, see Analyze metrics and Monitor logs. Whether you’re collecting from security devices, cloud, containers, hosts, or OT, Filebeat helps you keep the simple things simple by offering a lightweight way to forward and centralize logs and files.

Customer intelligence data platform that helps brands analyze and predict user behavior across multi-channels. Analyze your data quickly and accurately. Identify customer behavior patterns and trends to make informed decisions with the power of AI and ML solutions. B2Metric can integrate with endless sources including databases you use the most. Optimize your retention strategies by predicting customer churn and taking preventive actions accordingly. Categorize customers into distinct groups based on their behaviors, characteristics, and preferences to enable targeted marketing. Refine marketing strategies using data-driven insights to enhance performance, targeting, personalization, and budget optimization. Provide unique customer experiences by optimizing touchpoints and tailoring marketing efforts. AI-based marketing analytics that reduces user churn & increases growth. Identify your customers at risk of churn and develop proactive retention strategies with advanced ML algorithms.

AWS Marketplace is a curated digital catalog that enables customers to discover, purchase, deploy, and manage third-party software, data products, AI agents, and services directly within the AWS ecosystem. It provides access to thousands of listings across categories like security, machine learning, business applications, and DevOps tools. With flexible pricing models such as pay-as-you-go, annual subscriptions, and free trials, AWS Marketplace simplifies procurement and billing by integrating costs into a single AWS invoice. It also supports rapid deployment with pre-configured software that can be launched on AWS infrastructure. This streamlined approach allows businesses to accelerate innovation, reduce time-to-market, and maintain better control over software usage and costs.

Health Studio™ offers a unique, fully integrated AI platform that unifies patient care, clinical research, and remote monitoring. By seamlessly connecting wearables, medical devices, and patient data, it delivers real-time insights, streamlines operations, and enhances outcomes, transforming healthcare into a more connected, data-driven experience.

IntelliPay is a robust cloud-based payment processing and recurring billing platform for SaaS, subscription-based, and service-based businesses. We offer traditional, and no-cost cardholder pays the fee models. We integrate with the leading payment gateways and offer Online Payments, Virtual, On-Demand, Recurring Installments, EMV, and Custom Portals. Up to now, if your business accepted payments, you paid (absorbed) the cost of payment processing. New rules and our technology give you a choice. Continue to absorb the fees or shift the processing costs to the customer, and keep more of every sale. We have fee reducing or eliminating payment options for every organization. We serve multiple industries. Please select from the list below to learn more. Our enterprise payment platform is infinitely scalable, fully integrable and drives revenue growth. Providing patients with every payment method available without burdening your staff.

Amazon SageMaker provides all the tools and libraries you need to build ML models, the process of iteratively trying different algorithms and evaluating their accuracy to find the best one for your use case. In Amazon SageMaker you can pick different algorithms, including over 15 that are built-in and optimized for SageMaker, and use over 150 pre-built models from popular model zoos available with a few clicks. SageMaker also offers a variety of model-building tools including Amazon SageMaker Studio Notebooks and RStudio where you can run ML models on a small scale to see results and view reports on their performance so you can come up with high-quality working prototypes. Amazon SageMaker Studio Notebooks help you build ML models faster and collaborate with your team. Amazon SageMaker Studio notebooks provide one-click Jupyter notebooks that you can start working within seconds. Amazon SageMaker also enables one-click sharing of notebooks.