Scoop Analytics Inc is a company that offers data analytics solutions to help businesses gain insights and make informed decisions based on data.
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Idiligo Business is a comprehensive online meeting platform designed to enhance the efficiency and effectiveness of virtual sales and advisory sessions. By integrating predefined scripts and structured content, it guides users through step-by-step, results-oriented meetings, ensuring consistency and professionalism. This approach not only streamlines the meeting process but also empowers junior staff to perform at a senior level, reducing the learning curve and improving overall performance. Ke
An Authorize.net Payment Gateway account allows you to accept credit cards and electronic checks from websites and deposit funds automatically into your merchant bank account. Our solutions are designed to save time and money for small- to medium-sized businesses.
Cloud Memorystore for Redis provides a fully managed in-memory data store service built on scalable, secure, and highly available infrastructure managed by Google. Use Cloud Memorystore to build application caches that provides sub-millisecond data access. Cloud Memorystore is compatible with the Redis protocol, allowing easy migration with zero code changes.
innosabi insight is the first true innovation intelligence solution to provide single-source access to the latest trends, patents, startups, competitors, partners, technologies, and publications. Fully automated and continually updated. The unmatched User experience associated with the largest innovation data scope helps you predict emerging trends and competitors’ strategies.
Qymatix offers a predictive sales analytics solution for B2B sales. It is designed to help a sales team to sell more, find hidden opportunities and avoid customer churn.
Easily sync your Eventbrite data into Salesforce Eventbrite Fusion automates your event management efforts and helps you track the success of your Eventbrite events in Salesforce.
DialersPro Predictive Dialer is a telemarketing system that creates and manages leads and sale appointments.
Cherrywork® Predictive Asset Maintenance Application helps reduce, minimize, optimize asset lifecycle costs across all phases, from asset investment planning, network design, procurement, installation and commissioning, operation and maintenance through decommissioning and disposal/replacement.
The RRecktek Predictive Analytics Framework is a comprehensive, optimized environment designed to facilitate advanced data analysis and predictive modeling. It integrates the latest versions of R and Python, both enhanced for superior performance, to support a wide array of statistical and computational tasks. This framework is tailored for deployment on Amazon Web Services (AWS), ensuring scalability and reliability for data-driven applications. Key Features and Functionality: - Optimized R a
The Depression Disease State Predictor is an advanced machine learning model designed to assess and predict the severity of depression in individuals. By analyzing multimodal physiological and digital activity data, this tool offers personalized predictions, aiding healthcare professionals in tailoring treatment plans more effectively. Key Features and Functionality: - Multimodal Data Analysis: Integrates various data sources, including physiological signals and digital activity, to provide a
The Colorectal Cancer Disease Predictor is an advanced tool designed to assess an individual's risk of developing colorectal cancer. By analyzing various factors such as age, family history, lifestyle habits, and medical history, this predictor provides a personalized risk assessment, enabling early detection and proactive management strategies. Key Features and Functionality: - Comprehensive Risk Evaluation: Utilizes a wide range of data points, including demographic information, personal and
The MS Disease State Predictor is an advanced machine learning model designed to assist healthcare professionals in predicting the progression of multiple sclerosis in patients. By analyzing a comprehensive set of clinical and imaging data, this tool provides early and accurate assessments of disease severity, enabling timely therapeutic interventions to potentially slow or prevent further neurological deterioration. Key Features and Functionality: - Multimodal Data Analysis: Integrates variou
Report, Plan, Predict, and Simulate Plant data in Real-Time to run all machines at optimum capacity and lowest costs. This solution works by capturing live data from the SAP S/4HANA system and visualizes it as graphs, charts, and tables using SAP Analytics Cloud Story and Analytical Application.
The Leukemia Disease State Predictor is an advanced machine learning model designed to assist healthcare professionals in accurately diagnosing and classifying various subtypes of leukemia. By analyzing comprehensive genomic data, this tool enhances the precision and efficiency of leukemia diagnosis, facilitating timely and personalized treatment plans. Key Features and Functionality: - Multi-Class Classification: Utilizes sophisticated algorithms to differentiate between multiple leukemia sub
The Anemia Disease State Predictor is an advanced analytical tool designed to assist healthcare providers in identifying and managing anemia within patient populations. By leveraging comprehensive data analysis, this tool enables early detection of anemia, facilitating timely interventions and improved patient outcomes. Key Features and Functionality: - Comprehensive Data Integration: Aggregates and analyzes diverse patient data to identify patterns indicative of anemia. - Predictive Analytic
The Chronic Conditions Predictive Model is a sophisticated machine learning solution designed to forecast the likelihood of patients developing chronic diseases. By analyzing extensive healthcare datasets, this model identifies patterns and risk factors associated with chronic conditions, enabling healthcare providers to implement early interventions and personalized treatment plans. Key Features and Functionality: - Advanced Machine Learning Algorithms: Utilizes state-of-the-art algorithms to
The AMI Disease State Predictor is a machine learning model designed to predict the likelihood of Acute Myocardial Infarction (AMI, commonly known as a heart attack. By analyzing patient data, this tool aims to assist healthcare professionals in identifying individuals at risk, enabling timely intervention and personalized treatment plans. Key Features and Functionality: - Predictive Analytics: Utilizes advanced machine learning algorithms to assess patient data and predict the probability of