Alternatives to DATAGYM

Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case. Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection. Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.

Fraud.net is the world's leading infrastructure for fraud management. It is powered by a sophisticated collective Intelligence network, world-class AI, and a modern cloud-based platform that assists you: * Combine fraud data from all sources with one connection * Detect fraudulent activity in real-time for transactions exceeding 99.5% * Uncover hidden insights in Terabytes of data to optimize fraud management Fraud.net was recognized in Gartner's market guide for online fraud detection. It is a real-time enterprise-strength, enterprise-strength, fraud prevention and analytics solution that is tailored to the needs of its business customers. It acts as a single point-of-command, combining data from different sources and systems, tracking digital identities and behaviors, then deploying the most recent tools and technologies to eradicate fraudulent activity and allow transactions to go through. Get a free trial by contacting us today

TIMi allows companies to use their corporate data to generate new ideas and make crucial business decisions more quickly and easily than ever before. The heart of TIMi’s Integrated Platform. TIMi's ultimate real time AUTO-ML engine. 3D VR segmentation, visualization. Unlimited self service business Intelligence. TIMi is a faster solution than any other to perform the 2 most critical analytical tasks: data cleaning, feature engineering, creation KPIs, and predictive modeling. TIMi is an ethical solution. There is no lock-in, just excellence. We guarantee you work in complete serenity, without unexpected costs. TIMi's unique software infrastructure allows for maximum flexibility during the exploration phase, and high reliability during the production phase. TIMi allows your analysts to test even the most crazy ideas.

Manage unstructured data to develop AI solutions in record time. Enterprise-grade data platform with vision AI. Dataloop offers a single-stop-shop for building and deploying powerful data pipelines for computer vision, data labeling, automation of data operations, customizing production pipelines, and weaving in the human for data validation. Our vision is to make machine-learning-based systems affordable, scalable and accessible for everyone. Explore and analyze large quantities of unstructured information from diverse sources. Use automated preprocessing to find similar data and identify the data you require. Curate, version, cleanse, and route data to where it's required to create exceptional AI apps.

Toucan, a customer-facing platform for analytics, empowers organizations to drive engagement and provide the best possible end-user experience. Toucan makes it simple, from data connections to the distribution and sharing of insights wherever they are needed. Toucan analytics are 3x more popular than the industry average. With hundreds of connectors, users can connect to any cloud-based or stored data. Data readiness features make data preparation easy for business people. They can perform tasks that would normally require an expert. Visualization can be described as "data storytelling", where every chart is accompanied with context, collaboration and annotation to help users understand the "why" behind their data. Finally, deployment and management are easy with one-touch deployment, from staging to production, easy embedding and publishing to any device.

Immuta's Data Access Platform is built to give data teams secure yet streamlined access to data. Every organization is grappling with complex data policies as rules and regulations around that data are ever-changing and increasing in number. Immuta empowers data teams by automating the discovery and classification of new and existing data to speed time to value; orchestrating the enforcement of data policies through Policy-as-code (PaC), data masking, and Privacy Enhancing Technologies (PETs) so that any technical or business owner can manage and keep it secure; and monitoring/auditing user and policy activity/history and how data is accessed through automation to ensure provable compliance. Immuta integrates with all of the leading cloud data platforms, including Snowflake, Databricks, Starburst, Trino, Amazon Redshift, Google BigQuery, and Azure Synapse. Our platform is able to transparently secure data access without impacting performance. With Immuta, data teams are able to speed up data access by 100x, decrease the number of policies required by 75x, and achieve provable compliance goals.

Metacoder makes data processing faster and more efficient. Metacoder provides data analysts with the flexibility and tools they need to make data analysis easier. Metacoder automates data preparation steps like cleaning, reducing the time it takes to inspect your data before you can get up and running. It is a good company when compared to other companies. Metacoder is cheaper than similar companies and our management is actively developing based upon our valued customers' feedback. Metacoder is primarily used to support predictive analytics professionals in their work. We offer interfaces for database integrations, data cleaning, preprocessing, modeling, and display/interpretation of results. We make it easy to manage the machine learning pipeline and help organizations share their work. Soon, we will offer code-free solutions for image, audio and video as well as biomedical data.

RapidMiner is redefining enterprise AI so anyone can positively shape the future. RapidMiner empowers data-loving people from all levels to quickly create and implement AI solutions that drive immediate business impact. Our platform unites data prep, machine-learning, and model operations. This provides a user experience that is both rich in data science and simplified for all others. Customers are guaranteed success with our Center of Excellence methodology, RapidMiner Academy and no matter what level of experience or resources they have.

VantageCloud by Teradata is a next-gen cloud analytics ecosystem built to unify disparate data sources, deliver real-time AI-powered insights, and drive enterprise innovation with unprecedented efficiency. The platform includes VantageCloud Lake, designed for elastic scalability and GPU-accelerated AI workloads, and VantageCloud Enterprise, which supports robust analytics capabilities across secure hybrid and multi-cloud deployments. It seamlessly integrates with leading cloud providers like AWS, Azure, and Google Cloud, and supports open table formats like Apache Iceberg for greater data flexibility. With built-in support for advanced analytics, workload management, and cross-functional collaboration, VantageCloud provides the agility and power modern enterprises need to accelerate digital transformation and optimize operational outcomes.

V7 Darwin is a data labeling and training platform designed to automate and accelerate the process of creating high-quality datasets for machine learning. With AI-assisted labeling and tools for annotating images, videos, and more, V7 makes it easy for teams to create accurate and consistent data annotations quickly. The platform supports complex tasks such as segmentation and keypoint labeling, allowing businesses to streamline their data preparation process and improve model performance. V7 Darwin also offers real-time collaboration and customizable workflows, making it suitable for enterprises and research teams alike.

Oracle Analytics is a comprehensive platform designed for all analytics user roles, integrating AI and machine learning across the board to boost productivity and enable smarter business decisions. Whether you opt for Oracle Analytics Cloud, our cloud-native service, or Oracle Analytics Server, our on-premises solution, you can ensure robust security and governance without compromise.

Cauliflower can process feedback and comments for any type of service or product. Cauliflower uses Artificial Intelligence (AI) to identify the most important topics, evaluate them, and establish relationships. Machine learning models in-house developed for extracting content and evaluating sentiment. Intuitive dashboards that offer filter options and drill-downs. You can use included variables to indicate language, weight, ID and time. In the dropdown, you can define your own filter variables. Cauliflower can translate the results into a common language if necessary. Instead of reading customer feedback sporadically and quoting individual opinions, define a company-wide language.

Clarifai is a leading AI platform for modeling image, video, text and audio data at scale. Our platform combines computer vision, natural language processing and audio recognition as building blocks for building better, faster and stronger AI. We help enterprises and public sector organizations transform their data into actionable insights. Our technology is used across many industries including Defense, Retail, Manufacturing, Media and Entertainment, and more. We help our customers create innovative AI solutions for visual search, content moderation, aerial surveillance, visual inspection, intelligent document analysis, and more. Founded in 2013 by Matt Zeiler, Ph.D., Clarifai has been a market leader in computer vision AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai is headquartered in Delaware

Utilizing Automaton AI's ADVIT platform, you can effortlessly create, manage, and enhance high-quality training data alongside DNN models, all from a single interface. The system automatically optimizes data for each stage of the computer vision pipeline, allowing for a streamlined approach to data labeling processes and in-house data pipelines. You can efficiently handle both structured and unstructured datasets—be it video, images, or text—while employing automatic functions that prepare your data for every phase of the deep learning workflow. Once the data is accurately labeled and undergoes quality assurance, you can proceed with training your own model effectively. Deep neural network training requires careful hyperparameter tuning, including adjustments to batch size and learning rates, which are essential for maximizing model performance. Additionally, you can optimize and apply transfer learning to enhance the accuracy of your trained models. After the training phase, the model can be deployed into production seamlessly. ADVIT also supports model versioning, ensuring that model development and accuracy metrics are tracked in real-time. By leveraging a pre-trained DNN model for automatic labeling, you can further improve the overall accuracy of your models, paving the way for more robust applications in the future. This comprehensive approach to data and model management significantly enhances the efficiency of machine learning projects.

DataMelt, or "DMelt", is an environment for numeric computations, data analysis, data mining and computational statistics. DataMelt allows you to plot functions and data in 2D or 3D, perform statistical testing, data mining, data analysis, numeric computations and function minimization. It also solves systems of linear and differential equations. There are also options for symbolic, non-linear, and linear regression. Java API integrates neural networks and data-manipulation techniques using various data-manipulation algorithms. Support is provided for elements of symbolic computations using Octave/Matlab programming. DataMelt provides a Java platform-based computational environment. It can be used on different operating systems and programming languages. It is not limited to one programming language, unlike other statistical programs. This software combines Java, the most widely used enterprise language in the world, with the most popular data science scripting languages, Jython (Python), Groovy and JRuby.

Darwin is an automated machine-learning product that allows your data science and business analysis teams to quickly move from data to meaningful results. Darwin assists organizations in scaling the adoption of data science across their teams and the implementation machine learning applications across operations to become data-driven enterprises.

Deepnote is building the best data science notebook for teams. Connect your data, explore and analyze it within the notebook with real-time collaboration and versioning. Share links to your projects with other analysts and data scientists on your team, or present your polished, published notebooks to end users and stakeholders. All of this is done through a powerful, browser-based UI that runs in the cloud.

Analance is a comprehensive and scalable solution that integrates Data Science, Advanced Analytics, Business Intelligence, and Data Management into one seamless, self-service platform. Designed to empower users with essential analytical capabilities, it ensures that data insights are readily available to all, maintains consistent performance as user demands expand, and meets ongoing business goals within a singular framework. Analance is dedicated to transforming high-quality data into precise predictions, providing both seasoned data scientists and novice users with intuitive, point-and-click pre-built algorithms alongside a flexible environment for custom coding. By bridging the gap between advanced analytics and user accessibility, Analance facilitates informed decision-making across organizations. Company – Overview Ducen IT supports Business and IT professionals in Fortune 1000 companies by offering advanced analytics, business intelligence, and data management through its distinctive, all-encompassing data science platform known as Analance.

Enhance the efficiency of your deep learning projects and reduce the time it takes to realize value through AI model training and inference. As technology continues to improve in areas like computation, algorithms, and data accessibility, more businesses are embracing deep learning to derive and expand insights in fields such as speech recognition, natural language processing, and image classification. This powerful technology is capable of analyzing text, images, audio, and video on a large scale, allowing for the generation of patterns used in recommendation systems, sentiment analysis, financial risk assessments, and anomaly detection. The significant computational resources needed to handle neural networks stem from their complexity, including multiple layers and substantial training data requirements. Additionally, organizations face challenges in demonstrating the effectiveness of deep learning initiatives that are executed in isolation, which can hinder broader adoption and integration. The shift towards more collaborative approaches may help mitigate these issues and enhance the overall impact of deep learning strategies within companies.

Cloud Datalab is a user-friendly interactive platform designed for data exploration, analysis, visualization, and machine learning. This robust tool, developed for the Google Cloud Platform, allows users to delve into, transform, and visualize data while building machine learning models efficiently. Operating on Compute Engine, it smoothly integrates with various cloud services, enabling you to concentrate on your data science projects without distractions. Built using Jupyter (previously known as IPython), Cloud Datalab benefits from a vibrant ecosystem of modules and a comprehensive knowledge base. It supports the analysis of data across BigQuery, AI Platform, Compute Engine, and Cloud Storage, utilizing Python, SQL, and JavaScript for BigQuery user-defined functions. Whether your datasets are in the megabytes or terabytes range, Cloud Datalab is equipped to handle your needs effectively. You can effortlessly query massive datasets in BigQuery, perform local analysis on sampled subsets of data, and conduct training jobs on extensive datasets within AI Platform without any interruptions. This versatility makes Cloud Datalab a valuable asset for data scientists aiming to streamline their workflows and enhance productivity.

The Domino Enterprise MLOps Platform helps data science teams improve the speed, quality, and impact of data science at scale. Domino is open and flexible, empowering professional data scientists to use their preferred tools and infrastructure. Data science models get into production fast and are kept operating at peak performance with integrated workflows. Domino also delivers the security, governance and compliance that enterprises expect. The Self-Service Infrastructure Portal makes data science teams become more productive with easy access to their preferred tools, scalable compute, and diverse data sets. By automating time-consuming and tedious DevOps tasks, data scientists can focus on the tasks at hand. The Integrated Model Factory includes a workbench, model and app deployment, and integrated monitoring to rapidly experiment, deploy the best models in production, ensure optimal performance, and collaborate across the end-to-end data science lifecycle. The System of Record has a powerful reproducibility engine, search and knowledge management, and integrated project management. Teams can easily find, reuse, reproduce, and build on any data science work to amplify innovation.

The ABEJA platform represents a groundbreaking AI solution that integrates state-of-the-art technologies, including IoT, Big Data, and Deep Learning. In 2013, the volume of data circulated reached 4.4 zettabytes, and this figure is projected to soar to 44 zettabytes by 2020. This raises critical questions about how we can efficiently gather and leverage such vast and varied data sets, as well as how we can extract new insights from them. The ABEJA Platform stands out as one of the most sophisticated AI technologies globally, addressing the increasingly complex technological challenges ahead by facilitating the effective use of diverse data types. It offers advanced capabilities for image analysis through Deep Learning and processes extensive data swiftly with its cutting-edge decentralized architecture. Furthermore, it employs Machine Learning and Deep Learning techniques to analyze the amassed data, making it straightforward to share analysis results across different systems via API. As the data landscape continues to evolve, the need for such innovative platforms becomes ever more critical.

AI Cloud represents an innovative strategy designed to meet the current demands, challenges, and potential of artificial intelligence. This comprehensive system acts as a single source of truth, expediting the process of bringing AI solutions into production for organizations of all sizes. Users benefit from a collaborative environment tailored for ongoing enhancements throughout the entire AI lifecycle. The AI Catalog simplifies the process of discovering, sharing, tagging, and reusing data, which accelerates deployment and fosters teamwork. This catalog ensures that users can easily access relevant data to resolve business issues while maintaining high standards of security, compliance, and consistency. If your database is subject to a network policy restricting access to specific IP addresses, please reach out to Support for assistance in obtaining a list of IPs that should be added to your network policy for whitelisting, ensuring that your operations run smoothly. Additionally, leveraging AI Cloud can significantly improve your organization’s ability to innovate and adapt in a rapidly evolving technological landscape.

FortressIQ is the industry's most advanced process-intelligence platform. It allows enterprises to decode work and transform experiences. FortressIQ combines innovative computer vision with artificial intelligence to provide unprecedented process insights. It is extremely fast and delivers detail and accuracy that are unattainable using traditional methods. The platform automatically acquires process data across multiple systems. This empowers enterprises to understand, monitor and improve their operations, employee and customer experience, and every business process. FortressIQ was established in 2017 and is supported by Lightspeed Venture Partners and Boldstart Ventures as well as Comcast Ventures and Eniac Ventures. Continuously and automatically identify inefficiencies and process variations to determine optimal process paths and reduce time to automate.

Mintrics is the ultimate social media analytics dashboard with market and competitor intelligence. It allows brands, agencies, content creators, and marketers to see which videos are performing well and which aren’t and why. Mintrics allows you to analyze all your videos on YouTube and Facebook in one place. It connects to various APIs using users' tokens to collect data that isn't available publicly. It runs all calculations and displays unique metrics with historical information. Mintrics provides benchmarks, monthly reports and personalized recommendations, as metrics can be useless by themselves. First, at a page/channel-level to clearly show how a video is performing against others. Then, industry benchmarks that show performance compared to the competition. Mintrics Live Leaderboard allows you to track and group your competitors, as well as view market insights.

NaturalText A.I. Your data can be used to get more. Discover relationships, build collections, and uncover hidden insights in documents and text-based data. NaturalText A.I. NaturalText A.I. uses artificial intelligence technology to uncover hidden data relationships. The software uses a variety of state-of-the art methods to understand context and analyze patterns to reveal insights - all in a human-readable manner. Discover hidden insights in your data It can be difficult, if not impossible, to find everything in your text data. Traditional search can only find information about a document. NaturalText A.I. on the other hand, uncovers new data within millions of documents, including patents and scientific papers. NaturalText A.I. NaturalText A.I. can help you uncover insights in your data that you are not currently seeing.

Amazon EC2 Trn2 instances, equipped with AWS Trainium2 chips, are specifically designed to deliver exceptional performance in the training of generative AI models, such as large language and diffusion models. Users can experience cost savings of up to 50% in training expenses compared to other Amazon EC2 instances. These Trn2 instances can accommodate as many as 16 Trainium2 accelerators, boasting an impressive compute power of up to 3 petaflops using FP16/BF16 and 512 GB of high-bandwidth memory. For enhanced data and model parallelism, they are built with NeuronLink, a high-speed, nonblocking interconnect, and offer a substantial network bandwidth of up to 1600 Gbps via the second-generation Elastic Fabric Adapter (EFAv2). Trn2 instances are part of EC2 UltraClusters, which allow for scaling up to 30,000 interconnected Trainium2 chips within a nonblocking petabit-scale network, achieving a remarkable 6 exaflops of compute capability. Additionally, the AWS Neuron SDK provides seamless integration with widely used machine learning frameworks, including PyTorch and TensorFlow, making these instances a powerful choice for developers and researchers alike. This combination of cutting-edge technology and cost efficiency positions Trn2 instances as a leading option in the realm of high-performance deep learning.

Alfi, Inc. specializes in crafting engaging interactive advertising experiences in public spaces. By leveraging artificial intelligence and advanced computer vision technology, Alfi enhances the delivery of advertisements tailored to individuals. Their unique AI algorithm is designed to interpret subtle facial expressions and perceptual nuances, identifying potential customers who may be particularly interested in specific products. Notably, this automation prioritizes user privacy by avoiding tracking, refraining from using cookies, and steering clear of any identifiable personal data. Advertising agencies benefit from access to real-time analytics that provide insights into interactive experiences, audience engagement, emotional responses, and click-through rates—data that has traditionally been elusive for outdoor advertisers. Additionally, Alfi harnesses the power of AI and machine learning to analyze consumer behavior, facilitating improved analytics and delivering more relevant content to enhance the overall consumer experience. This commitment to innovation positions Alfi at the forefront of the evolving advertising landscape.

Alation stands out as the pioneering company to introduce a data catalog to the market, significantly enhancing the ways individuals discover, comprehend, trust, utilize, and repurpose data. By leading the charge in active, non-invasive data governance, Alation effectively facilitates data democratization while ensuring compliance on a large scale, providing users with the necessary data along with clear guidance on its appropriate usage. The company addresses some of the most pressing data challenges today by merging human insights with advanced AI and machine learning technologies. Currently, over 350 enterprises rely on Alation to empower their decision-making with confidence based on data. Notable clients include American Family Insurance, Exelon, Munich Re, and Pfizer, all of whom benefit from Alation’s innovative solutions. This widespread adoption underscores the company's impact on fostering a data-driven culture across various industries.

The Databricks Data Intelligence Platform empowers every member of your organization to leverage data and artificial intelligence effectively. Constructed on a lakehouse architecture, it establishes a cohesive and transparent foundation for all aspects of data management and governance, enhanced by a Data Intelligence Engine that recognizes the distinct characteristics of your data. Companies that excel across various sectors will be those that harness the power of data and AI. Covering everything from ETL processes to data warehousing and generative AI, Databricks facilitates the streamlining and acceleration of your data and AI objectives. By merging generative AI with the integrative advantages of a lakehouse, Databricks fuels a Data Intelligence Engine that comprehends the specific semantics of your data. This functionality enables the platform to optimize performance automatically and manage infrastructure in a manner tailored to your organization's needs. Additionally, the Data Intelligence Engine is designed to grasp the unique language of your enterprise, making the search and exploration of new data as straightforward as posing a question to a colleague, thus fostering collaboration and efficiency. Ultimately, this innovative approach transforms the way organizations interact with their data, driving better decision-making and insights.

Analysts can leverage drag-and-drop tools alongside generative AI to prepare and blend data up to 100 times faster compared to traditional methods. A self-service data analytics platform empowers every analyst by eliminating costly bottlenecks in the analytics process. Alteryx Designer stands out as a self-service data analytics solution that equips analysts to effectively prepare, blend, and analyze data through user-friendly, drag-and-drop interfaces. The platform boasts compatibility with over 300 automation tools and integrates seamlessly with more than 80 data sources. By prioritizing low-code and no-code features, Alteryx Designer allows users to construct analytic workflows effortlessly, expedite analytical tasks using generative AI, and derive insights without requiring extensive programming knowledge. Additionally, it facilitates the export of results to more than 70 different tools, showcasing its exceptional versatility. Overall, this design enhances operational efficiency, enabling organizations to accelerate their data preparation and analytical processes significantly.

The HyperSense platform is a cloud-native, SaaS-based augmented analytics solution designed to assist enterprises in making quicker and more informed decisions by utilizing Artificial Intelligence (AI) throughout the data value chain. It seamlessly integrates data from various sources, generates insights by developing, interpreting, and refining AI models, and disseminates these insights organization-wide. Acting as a comprehensive solution, HyperSense accelerates decision-making in telecom enterprises through its self-service AI capabilities. With its no-code interface, the platform is user-friendly and quick to set up, enabling business users, domain specialists, and data scientists to collaboratively create and manage AI models across the entire organization. This innovative approach not only enhances operational efficiency but also fosters a data-driven culture in the workplace.

Neural Designer is a data-science and machine learning platform that allows you to build, train, deploy, and maintain neural network models. This tool was created to allow innovative companies and research centres to focus on their applications, not on programming algorithms or programming techniques. Neural Designer does not require you to code or create block diagrams. Instead, the interface guides users through a series of clearly defined steps. Machine Learning can be applied in different industries. These are some examples of machine learning solutions: - In engineering: Performance optimization, quality improvement and fault detection - In banking, insurance: churn prevention and customer targeting. - In healthcare: medical diagnosis, prognosis and activity recognition, microarray analysis and drug design. Neural Designer's strength is its ability to intuitively build predictive models and perform complex operations.

H2O.ai stands at the forefront of open source AI and machine learning, dedicated to making artificial intelligence accessible to all. Our cutting-edge platforms, which are designed for enterprise readiness, support hundreds of thousands of data scientists across more than 20,000 organizations worldwide. By enabling companies in sectors such as finance, insurance, healthcare, telecommunications, retail, pharmaceuticals, and marketing, we are helping to foster a new wave of businesses that harness the power of AI to drive tangible value and innovation in today's marketplace. With our commitment to democratizing technology, we aim to transform how industries operate and thrive.

The Amazon EC2 G5 instances represent the newest generation of NVIDIA GPU-powered instances, designed to cater to a variety of graphics-heavy and machine learning applications. They offer performance improvements of up to three times for graphics-intensive tasks and machine learning inference, while achieving a remarkable 3.3 times increase in performance for machine learning training when compared to the previous G4dn instances. Users can leverage G5 instances for demanding applications such as remote workstations, video rendering, and gaming, enabling them to create high-quality graphics in real time. Additionally, these instances provide machine learning professionals with an efficient and high-performing infrastructure to develop and implement larger, more advanced models in areas like natural language processing, computer vision, and recommendation systems. Notably, G5 instances provide up to three times the graphics performance and a 40% improvement in price-performance ratio relative to G4dn instances. Furthermore, they feature a greater number of ray tracing cores than any other GPU-equipped EC2 instance, making them an optimal choice for developers seeking to push the boundaries of graphical fidelity. With their cutting-edge capabilities, G5 instances are poised to redefine expectations in both gaming and machine learning sectors.

The Peltarion Platform is an accessible low-code environment for deep learning that empowers users to swiftly create AI-driven solutions that can scale commercially. It facilitates the entire process of building, adjusting, refining, and deploying deep learning models seamlessly. This comprehensive platform enables you to manage everything from data uploads to model creation and deployment in one place. Renowned organizations such as NASA, Tesla, Dell, and Harvard have leveraged the Peltarion Platform and its earlier version to address complex challenges. Users can either develop their own AI models or take advantage of our pre-trained options, utilizing a simple drag-and-drop interface, including access to the latest advancements. You have complete control over the entire development cycle, from construction and training to fine-tuning and deployment of AI solutions, all seamlessly integrated. By operationalizing AI through this platform, businesses can unlock significant value. For those with no background in AI, our Faster AI course is designed to provide foundational knowledge, and upon completion of seven concise modules, participants will gain the ability to create and customize their own AI models on the Peltarion platform, fostering a new generation of AI practitioners. This initiative not only enhances individual skill sets but also contributes to the broader adoption of AI technology in various industries.

Dataiku serves as a sophisticated platform for data science and machine learning, aimed at facilitating teams in the construction, deployment, and management of AI and analytics projects on a large scale. It enables a diverse range of users, including data scientists and business analysts, to work together in developing data pipelines, crafting machine learning models, and preparing data through various visual and coding interfaces. Supporting the complete AI lifecycle, Dataiku provides essential tools for data preparation, model training, deployment, and ongoing monitoring of projects. Additionally, the platform incorporates integrations that enhance its capabilities, such as generative AI, thereby allowing organizations to innovate and implement AI solutions across various sectors. This adaptability positions Dataiku as a valuable asset for teams looking to harness the power of AI effectively.

GPUs excel at swiftly transferring data but suffer from limited locality of reference due to their relatively small caches, which makes them better suited for scenarios that involve heavy computation on small datasets rather than light computation on large ones. Consequently, the networks optimized for GPU architecture tend to run in layers sequentially to maximize the throughput of their computational pipelines (as illustrated in Figure 1 below). To accommodate larger models, given the GPUs' restricted memory capacity of only tens of gigabytes, multiple GPUs are often pooled together, leading to the distribution of models across these units and resulting in a convoluted software framework that must navigate the intricacies of communication and synchronization between different machines. In contrast, CPUs possess significantly larger and faster caches, along with access to extensive memory resources that can reach terabytes, allowing a typical CPU server to hold memory equivalent to that of dozens or even hundreds of GPUs. This makes CPUs particularly well-suited for a brain-like machine learning environment, where only specific portions of a vast network are activated as needed, offering a more flexible and efficient approach to processing. By leveraging the strengths of CPUs, machine learning systems can operate more smoothly, accommodating the demands of complex models while minimizing overhead.

Segmind simplifies access to extensive computing resources, making it ideal for executing demanding tasks like deep learning training and various intricate processing jobs. It offers environments that require no setup within minutes, allowing for easy collaboration among team members. Additionally, Segmind's MLOps platform supports comprehensive management of deep learning projects, featuring built-in data storage and tools for tracking experiments. Recognizing that machine learning engineers often lack expertise in cloud infrastructure, Segmind takes on the complexities of cloud management, enabling teams to concentrate on their strengths and enhance model development efficiency. As training machine learning and deep learning models can be time-consuming and costly, Segmind allows for effortless scaling of computational power while potentially cutting costs by up to 70% through managed spot instances. Furthermore, today's ML managers often struggle to maintain an overview of ongoing ML development activities and associated expenses, highlighting the need for robust management solutions in the field. By addressing these challenges, Segmind empowers teams to achieve their goals more effectively.

It enables efficient training on Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances powered by AWS Trainium. Additionally, for model deployment, it facilitates both high-performance and low-latency inference utilizing AWS Inferentia-based Amazon EC2 Inf1 instances along with AWS Inferentia2-based Amazon EC2 Inf2 instances. With the Neuron SDK, users can leverage widely-used frameworks like TensorFlow and PyTorch to effectively train and deploy machine learning (ML) models on Amazon EC2 Trn1, Inf1, and Inf2 instances with minimal alterations to their code and no reliance on vendor-specific tools. The integration of the AWS Neuron SDK with these frameworks allows for seamless continuation of existing workflows, requiring only minor code adjustments to get started. For those involved in distributed model training, the Neuron SDK also accommodates libraries such as Megatron-LM and PyTorch Fully Sharded Data Parallel (FSDP), enhancing its versatility and scalability for various ML tasks. By providing robust support for these frameworks and libraries, it significantly streamlines the process of developing and deploying advanced machine learning solutions.

List & Label is a reporting tool made for software developers which adds powerful report functions to your application. Itis the preferred reporting component used by thousands worldwide software development teams. List & Label supports a huge variety of data sources, is seamless to integrate and extends applications with convenient print, export and preview functions. The reporting tool is made for development environments such as .NET, C#, Delphi, C++, ASP.NET, ASP.NET MVC, .NET Core etc. The WYSIWYG Report Designer in Office Look & Feel is included in all editions. It helps developers and end users to create flexible reports and dashboards the way they like it. The additionally included and entirely browser-based Web Report Designer for ASP.NET MVC offers more flexibility in development and is independent from printer drivers. Reports for web applications can be designed anywhere at any time in the browser of your choice. List & Label is "Made in Germany" by combit.

Visplore makes the analysis of large, dirty time series data intuitive and extremely efficient. For process experts, R&D engineers, quality managers, industry consultants, and everyone who has spent a lot of time on the tedious preparation of complex measurement data. Knowing your data is the fundament of unlocking its value. Visplore offers ready-to-use tools to understand correlations, patterns, trends and much more, faster than ever. Cleansing and annotating make the difference between valuable and useless data. In Visplore, you deal with dirty data like outliers, anomalies and process changes as easily as using a drawing program. Integrations with Python, R, Matlab and many other sources makes workflow integration straightforward. And all of that at a performance that is still fun even with millions of data records, and allows for unexpectedly creative analyses.

Conversational Intelligence offers a distinctive approach for human users to engage with machines, where individuals contribute their intuition while machines utilize their capacity to navigate data and reveal intriguing patterns. This synergy allows both humans and machines to leverage their respective strengths, facilitating the identification of valuable insights within data sets. With the innovative Conversational Intelligence technology developed by DataChat, users can seamlessly perform a wide variety of data analytics tasks—including exploratory data analysis, predictive analytics, structured querying, free search querying, visualization, and data wrangling—all from a single interface. Engaging with the platform is as simple as having a conversation in a controlled natural language. Experience the benefits of increased efficiency and speed, enabling teams to gain deeper insights from data swiftly, regardless of their size, and propel your business forward at an impressive pace. By harnessing this technology, you can enhance your competitive edge in the market. DataChat AI serves as a conversational and intuitive platform for data analytics.

TADA by MyDataModels offers a top-tier predictive analytics solution that enables professionals to leverage their Small Data for business improvement through a user-friendly and easily deployable tool. With TADA, users can quickly develop predictive models that deliver actionable insights in a fraction of the time, transforming what once took days into mere hours thanks to an automated data preparation process that reduces time by 40%. This platform empowers individuals to extract valuable outcomes from their data without the need for programming expertise or advanced machine learning knowledge. By utilizing intuitive and transparent models composed of straightforward formulas, users can efficiently optimize their time and turn raw data into meaningful insights effortlessly across various platforms. The complexity of predictive model construction is significantly diminished as TADA automates the generative machine learning process, making it as simple as inputting data to receive a model output. Moreover, TADA allows for the creation and execution of machine learning models on a wide range of devices and platforms, ensuring accessibility through its robust web-based pre-processing capabilities, thereby enhancing operational efficiency and decision-making.

Amazon QuickSight empowers individuals within organizations to gain insights from their data by posing questions in everyday language, navigating through dynamic dashboards, or utilizing machine learning to identify trends and anomalies. It facilitates millions of dashboard interactions each week for notable clients such as the NFL, Expedia, Volvo, Thomson Reuters, Best Western, and Comcast, enabling their users to make informed, data-driven choices. By engaging in conversational inquiries about your data, you can utilize Q's machine learning capabilities to generate pertinent visualizations without the need for extensive data preparation by authors and administrators. This platform also enables the discovery of concealed insights, accurate forecasting, and scenario analysis, while providing the option to enrich dashboards with clear, natural language narratives, all made possible by AWS's machine learning expertise. Additionally, users can seamlessly incorporate interactive visualizations, advanced dashboard design features, and natural language querying capabilities into their applications, streamlining the process of data analysis across various platforms. Thus, QuickSight not only enhances the way organizations interact with their data but also simplifies the journey of transforming raw information into actionable insights.

Cinchapi is an all-encompassing platform for data discovery, analytics, and automation that leverages machine learning technology. It is adept at comprehending various forms of natural language, including industry-specific terminologies. For those moments when more in-depth analysis is required, users can easily pose follow-up questions to refine their data inquiries. The platform continually evolves by learning from both implicit and explicit user interactions, gradually becoming more attuned to your data requirements even before you articulate them. By efficiently processing vast amounts of data, Cinchapi highlights key insights, allowing you to concentrate on what truly matters rather than getting lost in irrelevant details. Utilizing a blend of machine learning and sophisticated heuristics, it enhances your data with valuable additional context. Furthermore, Cinchapi features a version-control database that enables users to pause or rewind real-time data, facilitating an extensive exploration of all potential dimensions. This innovative approach not only streamlines the data analysis process but also empowers users to make more informed decisions.

Indigo Scape is an advanced Data Reporting & Document Generation System that uses HTML, XML and XSLT to create highly compatible, richly-structured business reports and documents. Our advanced technology and reusable report system are the best in data reporting. Indigo DRS is a completely unique tool that can query in XQuery and SQL, and use data from multiple sources simultaneously, making it the best choice for complex business, financial and engineering reporting. You can be sure of the best reporting capabilities with advanced reporting features, unmatched functionality, and seamless integration of this powerful software technology to your business.

Hex unites the finest features of notebooks, business intelligence, and documentation into a cohesive and collaborative user interface, establishing itself as a contemporary Data Workspace. It simplifies the process of connecting to various data sources and allows for collaborative analysis via SQL and Python-based notebooks, enabling users to share their findings as interactive data applications and narratives. Upon entering Hex, the Projects page serves as the default landing area, making it easy to access both your own projects and those shared within your workspace. The outline feature offers a streamlined overview of all cells contained in a project's Logic View, where each cell is annotated with the variables it defines. Furthermore, cells that produce visible outputs—such as chart cells, input parameters, and markdown cells—provide a preview of their results. By clicking on any cell within the outline, users can instantly navigate to that specific location in the logic, enhancing the overall efficiency of the workflow. This functionality ensures that collaboration and data exploration are both intuitive and effective.

Invenis serves as a robust platform for data analysis and mining, enabling users to easily clean, aggregate, and analyze their data while scaling efforts to enhance decision-making processes. It offers capabilities such as data harmonization, preparation, cleansing, enrichment, and aggregation, alongside powerful predictive analytics, segmentation, and recommendation features. By connecting seamlessly to various data sources like MySQL, Oracle, Postgres SQL, and HDFS (Hadoop), Invenis facilitates comprehensive analysis of diverse file formats, including CSV and JSON. Users can generate predictions across all datasets without requiring coding skills or a specialized team of experts, as the platform intelligently selects the most suitable algorithms based on the specific data and use cases presented. Additionally, Invenis automates repetitive tasks and recurring analyses, allowing users to save valuable time and fully leverage the potential of their data. Collaboration is also enhanced, as teams can work together, not only among analysts but across various departments, streamlining decision-making processes and ensuring that information flows efficiently throughout the organization. This collaborative approach ultimately empowers businesses to make better-informed decisions based on timely and accurate data insights.

Saturn Cloud is an AI/ML platform available on every cloud. Data teams and engineers can build, scale, and deploy their AI/ML applications with any stack.