Summary Analytics for YOUR data analytics

Summary Analytics’s proprietary CaSM functions prioritize data records and eliminate redundant information from ANY featurized data set. It’s all mathematics — our software does not have to know about cybersecurity or cardiology to sort through your intrusion detection systems logs or atherosclerosis radiographics. Here are just a few of the applications where Summary Analytics can help you bring on bigger data, without bigger costs.
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Sales and Marketing Management

ML and AI are impacting sales and marketing across all products and industries from fast fashion to small business loans. They are making tremendous inroads in improving sales and marketing effectiveness and customer satisfaction -- enabling lead scoring, optimized lead assignment, expert recommendations, improved forecasting and inventory control, hyperpersonalized customer offers and messaging, predictive customer support, and more. But the more you know about your customers the more complex the AI models are and the more training costs continue to increase. See how Summary Analytics can help.


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Healthcare

In no other industry do ML and AI have the impact that they do in healthcare — from drug discovery and genetic research, to assisted clinical diagnosis and treatment, to hospital operations and insurance. These technologies are enabling breakthrough discoveries, reduced errors, worker productivity and most importantly, improved patient outcomes. But especially where patient lives are at stake, there is no room for compromise so developing and training the ever-increasingly complex AI models is getting more expensive as the datasets required to do it right grow in size. See how Summary Analytics can help.


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Cybersecurity

Cybersecurity analysts are in short supply and alert fatigue is a huge problem among overworked cybersecurity analysts. How do you reduce and prioritize alerts, whether from IDS, endpoint threat detection, SIEM or other cybersecurity monitoring systems, without missing a breach? ML and AI are impacting cybersecurity from end to end — from analyzing threat intelligence to prioritizing remediation. But developing the ever-increasingly complex AI models, training these models, and running them with real-time production data flows, are getting more expensive while executive management is expecting cost reductions. See how Summary Analytics can help.


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Financial Services

Financial applications have always been on the leading edge of technology and AI is no different. Whether for machine trading, market analysis, loan analysis, hedging, currency trading or many other financial applications, the stakes are high. Financial firms have pushed the envelope on state-of-the-art AI algorithms and methodologies to get an edge in these hypercompetitive environments. But the costs are getting out of hand relative to returns, and new algorithms often take too long to run in order to make your move in the market. See how Summary Analytics can help.


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Autonomous Transportation

Whether for cars, drones, robots, farm machinery or other types of autonomous vehicles, the variety and complexity of the sensor data required to train and operate these vehicles is enormous. Multi-angle video, radar, LIDAR, weather, GPS, vehicle status data and more must be fused via ever-more complex algorithms to safely operate these machines. Consumer expectations are high but many lives are at stake. How do you economically label, analyze and store the petabytes of data generated? See how Summary Analytics can help.


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