Alternatives to OnPoint CORTEX

IBM® SPSS® Statistics software is used by a variety of customers to solve industry-specific business issues to drive quality decision-making. The IBM® SPSS® software platform offers advanced statistical analysis, a vast library of machine learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications. Its ease of use, flexibility and scalability make SPSS accessible to users of all skill levels. What’s more, it’s suitable for projects of all sizes and levels of complexity, and can help you find new opportunities, improve efficiency and minimize risk.

ANSI SQL allows you to analyze petabytes worth of data at lightning-fast speeds with no operational overhead. Analytics at scale with 26%-34% less three-year TCO than cloud-based data warehouse alternatives. You can unleash your insights with a trusted platform that is more secure and scales with you. Multi-cloud analytics solutions that allow you to gain insights from all types of data. You can query streaming data in real-time and get the most current information about all your business processes. Machine learning is built-in and allows you to predict business outcomes quickly without having to move data. With just a few clicks, you can securely access and share the analytical insights within your organization. Easy creation of stunning dashboards and reports using popular business intelligence tools right out of the box. BigQuery's strong security, governance, and reliability controls ensure high availability and a 99.9% uptime SLA. Encrypt your data by default and with customer-managed encryption keys

Building Machine Learning Pipelines internally can be costly and take longer than expected. Gartner's statistics show that more than 80% will fail in AI Projects. Cortex helps teams set up machine learning faster than other alternatives and puts data to work for business results. Every team can create their own AI Predictions. You no longer need to wait for a team to be hired and costly infrastructure to be built. Cortex allows you to make predictions using the data you already own, all via a simple web interface. Everyone can now be a Data Scientist! Cortex automates the process for turning raw data into Machine Learning Pipelines. This eliminates the most difficult and time-consuming aspects of AI. These predictions are accurate and always up-to-date because Cortex continuously ingests new data and updates the underlying model automatically, with no human intervention.

GiniMachine, an AI-based solution to automated decision making, is called GiniMachine. It uses advanced machine learning algorithms and historical data from companies to create high-performing scoring models. It can be used to score credit, collect, or apply, expand marketing (churn prediction), as well as sales (cross-sell, upsell) opportunities. The system uses a customized implementation of the decision tree ensemble technique, augmented with a set Heuristics for preliminary data processing. GiniMachine provides models for building and supplying. They are fully compliant to the BASEL requirements. GiniMachine works with all types of data, raw and prepared, including: Socio-demographic data Credit bureaus info Transactional data Social network data Other data.

To automate and streamline your day-today processes, you can leverage mortgage pricing engine tools, investor pricing, and product eligibility data. Automate and streamline your secondary desk. Increase efficiency in your daily operations and expedite internal communications by using features like historical pricing and LOS integrations. Push your live mortgage offers to industry-leading online marketplaces to grow your business and market reach. To be the first lender to reach home sellers looking for new home financing, you need to create a targeted purchase strategy. Use Mortech APIs to make your product and pricing strategy-specific rates available to private websites, point-of sale solutions, smart apps, and other places. This integration can be implemented in your business within two weeks with our easy onboarding process.

Mage transforms data into predictions. In minutes, you can build, train, then deploy predictive models. No AI experience necessary. You can increase user engagement by ranking content in your user's homefeed. Conversion can be increased by showing users the most relevant products to purchase. You can predict which users will quit using your app to increase retention. Matching users in a marketplace can increase conversion. Data is the most crucial part of building AI. Mage will help you navigate this process and offer suggestions on how to improve data. You will become an AI expert. AI and its predictions can be confusing. Mage will explain every metric in detail, showing you how your AI model thinks. With just a few lines code, you can get real-time predictions. Mage makes it easy to integrate your AI model into any application.

Quanto™, WorldQuant Predictive’s flagship product delivers AI-powered prediction directly to business users. Our intuitive analytics app empowers them to run simulations, optimize their decision making, and make better decisions. WQP's proprietary technology and processes extract signals from thousands data sources around the globe and use them to make AI-powered predictions that can help in decision-making. This revolutionary approach allows AI to be deployed in a previously unheard of scale and speed. Clients get full functionality from day one. They don't need to clean or integrate their own data. Our global network develops models in collaboration. Their diverse approaches reveal signals that others miss, and improve accuracy. Our unrivaled library, which includes alternative and third-party information, identifies alphas that have been overlooked.

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.

Marketers can use the Predictive cloud to create modeled consumer lists. This allows them to target only the people most likely to respond to campaigns or make a purchase. This greatly increases the profitability of customer acquisition, retention, and reactivation. Learn more about DDG's data insights, models and models.

Snap on AI-Enabled Analytics for Spreadsheet Data. The intuitive Excel interface allows users in finance, operations, and sales to use their data to make better decisions. This includes better execution, cutting costs, and increasing revenue. The Solution Aurora Disruptive AI with no ML Our SaaS service quickly ingests spreadsheet data to provide amazing insights, trends and correlations that move the needle in your business. AI is already built-in. There is no need to program or use Machine Learning. This allows you to use imperfect data. AI-Enabled Analytics For Every Excel User. Gather your data. You can access your spreadsheet, transactional software, data warehouse, or data mart source via direct connection or selection from your desktop C drive. Quick Start Training & Intuitive UX In just an hour, you can load data and build models using an online Quick Start training video.

The Salford Predictive Modeler® (SPM), software suite, is highly accurate and extremely fast for developing predictive, descriptive, or analytical models. Salford Predictive Modeler®, which includes the CART®, TreeNet®, Random Forests® engines, and powerful new automation capabilities and modeling capabilities that are not available elsewhere, is a software suite that includes the MARS®, CART®, TreeNet[r], and TreeNet®. The SPM software suite's data mining technologies span classification, regression, survival analysis, missing value analysis, data binning and clustering/segmentation. SPM algorithms are essential in advanced data science circles. Automation of model building is made easier by the SPM software suite. It automates significant portions of the model exploration, refinement, and refinement process for analysts. We combine all results from different modeling strategies into one package for easy review.

Octant AI - Predict. Octant AI is a revolutionary approach to project cost forecasting that combines the power of AI and a proven economic approach. What is OctantAI Predict? Octant AI Predict, Endeavour Programme's proprietary artificial Intelligence software solution, is designed to improve project outcomes. Octant AI Predict uses historical data to learn past performance and then applies machine learning algorithms to create more accurate, unbiased, and faster forecasts that can be used for project management decisions. It provides dynamic cost- and time forecasts, from the beginning of the project through to the completion of the project. This is consistent with the regular project review process. Octant AI Predict can also help improve cash flow forecasting for projects or portfolios of projects. Octant AI Predict is essential for our customers. Octant AI has been rated by customers as equivalent to 1% to 2.5% in turnover, potentially exceeding $12M.

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.

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.

Global commercial lenders can accurately assess an applicant's creditworthiness and manage risk. We provide a platform that allows them to deploy compliant credit models on an integrated platform. A customizable dashboard for executive management, credit analysts and compliance teams. Calibrated to calculate the probability of default and early stage Delinquencies. Simple plug-and-play integrations, and flexible deployment models. Deep learning models provide insights from disparate data sets. Access rolled up risk assessment reports. Our data cloud and predictive models enable sales augmentation. We can help you identify high-propensity prospects and develop winning engagement strategies using predictive intelligence and intent data. Deep account intelligence for more than 16 million businesses worldwide. Predictive scoring by custom modeling and intent generation. Access executive profiles and org charts. Integrates with your existing workflows.

To quickly develop models, streamline the data mining process. Learn the key relationships. Find the most important patterns. Your data miners and statisticians will be able to significantly reduce the time it takes to create models. A self-documenting interactive process flow diagram environment maps the entire data mining process for the best results. It also has more predictive modeling techniques that any commercial data mining program. Why not choose the best? SAS Rapid Predictive Modeller is available for business users and subject-matter specialists with limited statistical skills. A simple-to-use GUI guides them through the data mining process. Analytics results are presented in simple-to-understand charts that provide insights necessary for better decision-making. Use industry-specific methods and innovative algorithms to create models that are more efficient. Visual assessment and validation metrics are used to verify results.

Altair is used by data scientists and business analysts to extract actionable insights from their data. Knowledge Studio is a market-leading, easy-to-use machine learning and predictive analytics tool that quickly visualizes data and generates explainable results. It doesn't require a single line code. Knowledge Studio, a recognized leader in analytics, brings transparency and automation into machine learning with features like AutoML and explainable AI. You have complete control over how models are built and configured. Knowledge Studio is designed for collaboration across the business. Complex projects can be completed by data scientists and business analysts in minutes, hours, or even days. Results are easy to understand and explain. Data scientists can quickly create machine learning models using less time than coding or using other tools because of the ease of use and automation of modeling steps.

Open-Source AI layer for databases. Machine Learning capabilities can be integrated directly into your data domain to increase efficiency and productivity. MindsDB makes it easy to create, train, and then test ML models. Then publish them as virtual AI tables into databases. Integrate seamlessly with all major databases. SQL queries can be used to manipulate ML models. You can increase model training speed using GPU without affecting the performance of your database. Learn how the ML model arrived at its conclusions and what factors affect prediction confidence. Visual tools that allow you to analyze model performance. SQL and Python queries that return explanation insights in a single code. You can use What-if analysis to determine confidence based upon different inputs. Automate the process for applying machine learning using the state-of the-art Lightwood AutoML library. Machine Learning can be used to create custom solutions in your preferred programming language.

JADBio is an automated machine learning platform that uses JADBio's state-of-the art technology without any programming. It solves many open problems in machine-learning with its innovative algorithms. It is easy to use and can perform sophisticated and accurate machine learning analyses, even if you don't know any math, statistics or coding. It was specifically designed for life science data, particularly molecular data. It can handle the unique molecular data issues such as low sample sizes and high numbers of measured quantities, which could reach into the millions. It is essential for life scientists to identify the biomarkers and features that are predictive and important. They also need to know their roles and how they can help them understand the molecular mechanisms. Knowledge discovery is often more important that a predictive model. JADBio focuses on feature selection, and its interpretation.

Decanter AI is a no-code AI tool that helps data scientists, domain specialists, and business stakeholders design and deploy AI solutions in a seamless manner. Data is at the core of all business growth. But it also presents new challenges. Decanter AI's advanced AI technologies make digital transformation as simple as eating a bagel. Decanter AI uses automated Machine Learning (AutoML), an automation of the machine-learning process, to assist enterprises with AI driven decision making. It also generates business value using enterprise data. Decanter AI provides enterprises with world-class technologies for machine learning through an intuitive interface. It allows enterprises to solve business problems using an AI-driven method by rapidly building, test and deploying highly accurate models.

A new category of AI. Most AI solutions today are designed using a mathematical and statistical lens. We took a different approach. Intelligent Artifacts' team has created a new type of AI based on information theory. It is a true AGI that eliminates the current shortcomings in machine intelligence. Our framework separates the intelligence layer from the data and application layers, allowing it to learn in real time and allowing it to make predictions down to the root cause. A truly integrated platform is required for AGI. Intelligent Artifacts will allow you to model information, not data. Predictions and decisions can be made across multiple domains without the need for rewriting code. Our dynamic platform and specialized AI consultants will provide you with a tailored solution that quickly provides deep insights and better outcomes from your data.

The next generation of software will be defined by Artificial Intelligence (AI), Machine Learning and Predictive Analytics. Zementis provides a common framework for intelligent solutions across all industries. Zementis allows organizations to harness the power and potential of their data to quickly deliver insights and support informed business decision-making based on predictive analytics tools. You can enrich your data picture and use more accurate predictive models by leveraging large data sets, real-time information, and other data sources. Massively parallel scoring is possible for big data applications. Open-standards-based Zementis can handle any environment. Zementis provides a single tool to enable predictive analytics in your organization. It is intuitive and simple to use, extending predictive analytics beyond the data scientists team. This allows anyone in your organization to understand customer behavior, market dynamics, and more.

Our machine-learning software is trusted by some of the most respected service organizations around the globe. It improves your service delivery across the entire product lifecycle. Bruviti takes all your technical and service knowledge and delivers it to you where it's needed. This is the front line of customer service and support. Bruviti can help you speed up your inbound problem triage, diagnose quicker, and accelerate your overall delivery of service. Bruviti brings a wealth of industry experience, technical skills, and a proven implantation method that accelerates your journey towards a suite service applications. Powered by AI/ML, the latest data science, and Bruviti's patented implantation process. We start with pre-built models and use this data to create custom models, train them and prove them. Then we use these models to improve your existing applications and workflows.

Machine Learning and Predictive Analytics Platform. Advanced artificial intelligence is a pre-built platform for machine learning and big-data analytics that can enhance data-driven decision making. OpenText Magellan makes predictive analytics easy to use and provides flexible data visualizations that maximize business intelligence. Artificial intelligence software reduces the need to manually process large amounts of data. It presents valuable business insights in a manner that is easily accessible and relevant to the organization's most important objectives. Organizations can enhance business processes by using a curated combination of capabilities such as predictive modeling, data discovery tools and data mining techniques. IoT data analytics is another way to use data to improve decision-making based on real business intelligence.

Juris Mindcraft, an artificial intelligence (AI), uses data mining and machine-learning to make clear recommendations for people with credit histories. Mindcraft's AI engine can be used to determine a customer's propensity for buying based on their past behavior. It can also provide early warning (6 months ahead) for customers who may become NPLs or go rogue. These results will be presented in reports to make it easier to understand. Juris Mindcraft, which combines the power of your business expertise with statistical measures, has proven to be accurate and precise in assessing your customer's creditworthiness. Mindcraft's technology is sophisticated and mature, unlike many other AI engines on the market. It has been tested and proven in real-life scenarios using authentic data.

The PDX platform provides an end-to-end predictive analytics solution for monitoring critical assets. It collects and analyzes big data with the goal to reduce unplanned downtime, increase productivity, and improve product quality.

PolyAnalyst, a data analysis tool, is used by large companies in many industries (Insurance Manufacturing, Finance, etc.). It uses a visual composer to simplify complex data analysis modeling instead of programming/coding. This is one of its most distinctive features. It can combine structured and poly-structured data for unified analysis (multiple-choice questions and open ended responses), and it can process text data from over 16+ languages. PolyAnalyst provides many features to meet comprehensive data analysis requirements, including the ability to load data, cleanse and prepare data for analysis, deploy machine learning and supervised analytics techniques, and create reports that non-analysts may use to uncover insights.

Your team can deliver AI-based business solutions efficiently at scale. Machine learning that is cloud-based, comprehensive and no-code. Accelerate team production. Capture actionable insights efficiently. Use your data to predict and optimize behavior. Rapidly scale models and put them into production. Gurobi Optimizer makes it possible to tackle the most difficult problems. LityxIQ, a powerful and easy-to-use AutoML platform for all your team members, was created by data scientists. It is a cloud-based SaaS that integrates seamlessly with your existing tools, including data lakes, data warehouses, and source data platforms. It also integrates easily with leading visualization tools, as well as other systems, data lakes, data warehouses, and other systems. You can tackle even the most difficult analytics jobs thanks to the world's fastest solution provider. Our Solution Accelerators capability improves efficiency and reduces time to value.

Proxima’s predictive data intelligence reduces acquisition costs and increases LTV for customers so you can grow profitably. Discover the tactics driving best-in class growth and retention by using dynamic industry benchmarks. Learn from your most valuable cohorts. Dig deeper into the shopping habits of your customers. Maximize customer lifetime value. Identify the most valuable products, and focus on key offers that encourage repeat purchases. Uncover hidden insights about your most valuable customers so you can improve their lifetime value and find others just like them. Proxima’s proprietary database offers a comprehensive view of aggregated engagement data and transactional information in a protected environment with end-toend encryption and strict security protocols.

MATLAB®, a combination of a desktop environment for iterative analysis, design processes, and a programming language that expresses matrix or array mathematics directly, is MATLAB®. It also includes the Live Editor, which allows you to create scripts that combine output, code, and formatted text in an executable notebook. MATLAB toolboxes have been professionally developed, tested and documented. MATLAB apps allow you to see how different algorithms interact with your data. You can repeat the process until you get the results you desire. Then, MATLAB will automatically generate a program to replicate or automate your work. With minor code changes, you can scale your analyses to run on GPUs, clusters, and clouds. You don't need to rewrite any code or learn big-data programming and other out-of-memory methods. Convert MATLAB algorithms automatically to C/C++ and HDL to run on your embedded processor/FPGA/ASIC. Simulink works with MATLAB to support Model-Based Design.

ProModel is a discrete event simulation technology that can be used to plan, design, and improve existing manufacturing, logistics, and other operational systems. It allows you to accurately model real-world processes including their inherent variability, interdependencies, and potential changes. Optimize your system to meet your key performance indicators. From CAD files, process or values stream maps or Process Simulator models, create a dynamic, animated computer model that represents your business environment. You can clearly see and understand the current policies and processes in action. Use the model to brainstorm possible changes and to create scenarios to test them. You can run different scenarios and compare the results in the Output Viewer, which is built with the latest Microsoft®, WPF technology.

Analytic Solver Optimization is 100% compatible with Excel Solver. It can handle any type of conventional optimization problem, regardless of its size (without uncertainty). It algebraically analyzes the structure of your model and maximizes the use of multiple cores on your PC, unlike other optimization software. Nonlinear models can be solved 10 times faster than the Excel Solver. Linear models can be solved 40 times faster than the Excel Solver. You can also plug-in Solver Engines for millions of variables. Analytic Solver Simulation allows you to perform powerful Monte Carlo simulations, risk analysis, decision trees, as well as simulation optimization with Frontline's Evolutionary Solver. You can choose from 60 probability distributions or compound distributions. Also, you can use automatic distribution fitting, rank order and copula-based correlation, 80 statistics, Six Sigma functions, and multiple parameterized simulations.

Amazon QuickSight allows everyone within your organization to access your data. This includes asking questions in natural language, exploring interactive dashboards, and automatically looking for patterns or outliers using machine learning. QuickSight powers millions upon millions of dashboard views per week for customers like the NFL, Expedia and Volvo. This allows their end-users make better data-driven decision making. To receive relevant visualizations, ask questions about your data using Q's ML-powered engine. This allows you to ask conversational questions without the need for data preparation by admins and authors. AWS' machine learning expertise allows you to uncover hidden insights in your data, forecast accurately and do what-if analysis. You can also add natural language narratives or easy-to-understand natural languages to your dashboards using AWS' machine learning expertise. You can embed interactive visualizations and dashboards in your applications, as well as sophisticated dashboard authoring and natural language query capabilities.

FunnelTap allows you to forecast and track marketing and sales funnels. You can create campaign scenarios, adjust variables, and see how your funnel would change. What would happen if your cost per click (CPC), went up from $6 to $9 if you had just spent $20,000 on Google Ads? What if you spent $75,000 instead of $20,000 next quarter? What if your deal size grows? FunnelTap allows you to save hypothetical scenarios and then compare them with actual campaigns. You can't improve on what you aren't tracking. FunnelTap allows you to map your funnel conversion rate and create forecasts based upon different variables. You can create different scenarios by modeling conversion rates, budget, cost-per click, customer value, and conversion rates. Keep all of your important metrics close at hand. To visualize the worst-case and best-case scenarios, you can use your funnel variables.

Our battery analytics platform provides cutting-edge solutions for optimizing batteries. A variety of machine learning methods are used to guarantee results in all situations. API integration into third-party apps (e.g. fleet management). Virtual testing and automated lab data administration will replace guesswork, lab experiments and manual data management. Virtually test battery cells using the model library to replace guesswork and lab experiments. Data management software can be used to manage your lab data. Field data analytics can help you optimize your development. The battery model library allows you to virtually test battery cells without the need for lab experiments and guesswork. The TWAICE model library offers access to a variety of high-fidelity battery cell models, including thermal, electrical, and aging models, for the most recent lithium-ion batteries on the market.

Predictive modeling with Machine Learning and Explainable Ai. FICO®, Analytics Workbench™, is a comprehensive suite of state-of the-art analytic authoring software that empowers companies to make better business decisions throughout the customer lifecycle. Data scientists can use it to build superior decisioning abilities using a variety of predictive data modeling tools, including the most recent machine learning (ML), and explainable AI (xAI) methods. FICO's innovative intellectual property enables us to combine the best of open-source data science and machine learning to provide world-class analytical capabilities to find, combine, and operationalize data predictive signals. Analytics Workbench is built upon the FICO®, leading platform that allows for new predictive models and strategies to easily be put into production.

Founded in 2018, Pecan is a predictive analytics platform that leverages its pioneering Predictive GenAI to remove barriers to AI adoption, making predictive modeling accessible to all data and business teams. Guided by generative AI, companies can obtain precise predictions across various business domains without the need for specialized personnel. Predictive GenAI enables rapid model definition and training, while automated processes accelerate AI implementation. With Pecan's fusion of predictive and generative AI, realizing the business impact of AI is now far faster and easier.

UptimeAI, an artificial Intelligence company, offers the first virtual AI assistant for plant operations. UptimeAI's AI Expert combines artificial intelligence and subject matter knowledge from over 200 years of combined experience to help you understand interrelations between upstream and downstream equipment, identify issues, and provide prescriptive diagnosis on a large scale. AI Expert continuously learns and provides prescriptive actions to improve availability, efficiency, and eliminate unplanned downtime. These benefits include: • 5X reduction in false alarms and manual effort. • 100% coverage of static and rotating equipment with high ROI. • System-level models that reduce alarms and help to identify the cause. • Inferencing engine that can analyze 100+ types of equipment to identify failure modes and suggest mitigation. • Continuous learning that identifies the best practices and digitizes information. • High levels automation

ADAM (ApparatusDeployment Analysis Modul) is a "what if" predictive modeling tool that uses historical CAD and GIS map data. It also employs a rigorous projection algorithm in order to project the effect of deployment changes on availability and response times. Analyzes the impact of deployment changes to determine where to place staff and units. The impact of temporary and permanent changes on response performance. Runs within ArcMap with Esri add-ins. GIS layers stored in geodatabase and shapefile formats. Compares current workload with historical CAD data. ADAM's CAD Analyst functionality evaluates response performance. Reports results with intuitive graphics, reports, dashboards, and dashboards to make budget presentations to community officials. Comparing alternative deployment scenarios and recommending the best location for a new station. Accounts for your unique department policies for actionable, realistic planning.

Delineate is an easy-to use platform that generates machine learning-driven predictive models for various purposes. You can enrich your CRM data with churn forecasts, sales forecasts, or even data products for customers and employees, just to name a few. Delineate allows you to quickly access data-driven insights that will help you make better decisions. The platform is for founders, revenue managers, product managers, executives, data enthusiasts, and others who are interested in data. Use Delineate to unlock the full potential of your data.

conDati uses machine learning and data science to develop out-of-the box solutions that transform large volumes of transaction, customer, and event data into usable insights and information. ConDati allows you to quickly visualize the performance of your campaigns, from the summary level to individual campaigns. conDati combines all your marketing data to create a single data asset that can be used to create dashboards and models across all channels. For every campaign, revenue, cost, and metrics data (Sends. Opens. Impressions. Clicks. Transactions ...)) are available by the minute, hour, and day. The YTD results are combined with the Model Forecast for each month to give a continuously updated Forecast for Revenue, Costs, and other metrics.

Snowplow is a data collection platform that is best in class for Data Teams. Snowplow allows you to collect rich, high-quality data from all your products and platforms. Your data is instantly available and delivered to your chosen data warehouse. This allows you to easily join other data sets to power BI tools, custom reporting, or machine learning models. The Snowplow pipeline runs in your cloud (AWS or GCP), giving your complete control over your data. Snowplow allows you to ask and answer any questions related to your business or use case using your preferred tools.

Plat.AI offers a real-time AI decision-making engine that can be built and maintained for any platform, system or experience level. No coding knowledge is needed to use our model builder. Plat.AI provides data intelligence without the need to write a line of code. It may only take five minutes to build and deploy a custom automated model. Our self-service platform can be adapted to your platform of choice and will use your data in real-time to make decisions. In as little as a month, you can have a model running. After that, you will be able to enjoy real-time analytics. Transparency is the hallmark of the best analytics software. We want to show what's going on under the hood. We provide one-on-one assistance while building, deploying and maintaining your model.

You can build, run, and manage AI models and optimize decisions across any cloud. IBM Watson Studio allows you to deploy AI anywhere with IBM Cloud Pak®, the IBM data and AI platform. Open, flexible, multicloud architecture allows you to unite teams, simplify the AI lifecycle management, and accelerate time-to-value. ModelOps pipelines automate the AI lifecycle. AutoAI accelerates data science development. AutoAI allows you to create and programmatically build models. One-click integration allows you to deploy and run models. Promoting AI governance through fair and explicable AI. Optimizing decisions can improve business results. Open source frameworks such as PyTorch and TensorFlow can be used, as well as scikit-learn. You can combine the development tools, including popular IDEs and Jupyter notebooks. JupterLab and CLIs. This includes languages like Python, R, and Scala. IBM Watson Studio automates the management of the AI lifecycle to help you build and scale AI with trust.

Qymatix, an AI startup, helps B2B companies turn sales data into insights that can support profitable growth. Qymatix Predictive Sales Software, which is powered by artificial intelligence, provides analytics for cross-selling and pricing in both traditional and digital channels. Qymatix Solutions GmbH has created a unique cloud technology that combines data models to enable machine learning, artificial Intelligence, and HTML5 data visualisations for ERP and CRM Systems. This advanced predictive sales software allows sales managers in business to business to perform cross-selling and churn prevention as well as pricing analytics in one click.

Allstacks uses machine learning models to analyze software delivery life cycle data for delivery risks, insights, and projected outcomes for engineering stakeholders. Our value stream intelligence platform provides insights across all your projects and tools. Gathering and analyzing past work data and behavior from the tools your team is already using from the most common engineering software in the market. Extremely simple, you are up and running in less than two minutes. Allstacks aggregates all of your tools and data into a single and straightforward platform so you can accelerate your engineering team’s ability to deliver great software products.

Improve your service to customers by providing better visibility and predictability for container vessel ETAs, ETBs, and ETDs. Inventory levels, production schedules and transportation can be better planned. Cost reduction by reducing uncertainty and optimizing operation. Improved customer service through reliable information about shipment arrivals. Data in real-time allows for agile decision-making. Predictive analytics that incorporate data on port congestion, and other factors that affect cargo movements. Using advanced statistical models, we can analyze decades of data on actual sailing plans. Total visibility and predictability for monitoring and controlling your shipments. All global services will be rotated in one rotation. Plan your logistics more efficiently to save time and resources. Predict arrival and departure times using insights from historical data. Address any potential delays in the supply chain.

Enveyo’s approach to logistics optimization is data-first. By leveraging big data, systems integration, and comparative analytics, organizations drive their supply chain operations forward. Purpose-built on a robust data management engine, Enveyo technology can ingest any volume of data in any format, enabling organizations to eliminate data silos and non-value-added technologies across their logistics tech stack. Gain Flexibility & Agility - In today’s dynamic shipping environment, the ability to shift quickly is crucial. Gain agility and control through a centralized suite. Reduce Transportation Spend - Supply chain analytics dramatically decreases your shipping spend and increases efficiency with detailed, easy-to-use, custom reporting. Increase Logistics Visibility - From shipping analytics and business intelligence (BI) to delivery experience management, Enveyo opens your eyes to shipment program performance throughout the logistics lifecycle. Trust Your Shipping Decisions - With robust data management and flexible technology, organizations can trust the decisions they’re making because they’re proven by data.

Infor Coleman™, brings tangible opportunity and ROI for artificial intelligence (AI), projects with amazing speed and clarity. Coleman makes it easy to create AI projects that don't require specialized skills or unpredicted service engagements. Because Coleman is built on the Infor OS technology platform, it makes complex technologies such as natural language processing, intelligent automaton, and voice user experience, much easier to access. Coleman's components are designed to be trusted and built value by enterprise users who work with them. Artificial intelligence doesn't have to be a whitespace project. The Coleman product suite allows companies create value at a remarkable speed, with minimal development effort.

Aera's Cognitive Operating System™ is the digital brain for your company. It brings agility, scale, accuracy, and speed to your decision-making. This is possible by dynamically orchestrating four fundamental architectural pillars for Cognitive Automation: data science, process, change, and science. Aera's real-time crawling technology is a patent that collects, harmonizes, and augments billions from complex enterprise systems and other data sources. All this while keeping context. The result is that 100% of the internal and external data required to decision automation and enhancement are made available in real-time. Aera implements advanced techniques such as optimization, prediction, modeling, and artificial intelligence (AI), within the context of a decision. The patented models incorporate domain expertise with thousands of predefined measures that can be used in all areas of the business. You can either bring your own or build one of our pre-packaged algorithms.