High-volume administrative tasks are a feature of every business. We helped a global bank develop a machine learning algorithm to help with the task of reviewing over 100,000 ‘sanctions alerts’ every day.
Read this story to find out:
• what other benefits AI can deliver beyond cost savings
• how AI tools achieve greater accuracy than human reviewers
• what it takes to apply AI and Machine Learning successfully in a regulated sector.
TIBCO® Connected Intelligence for Smart Factory Insights
By processing real-time data from machine sensors using artificial intelligence and machine learning, it's possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield.
By processing real-time data from machine sensors using arti?cial intelligence and machine learning, it’s possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield.
One of the most powerful ways to save time – and to defuse a potential payroll time bomb – is by automating tasks to help simplify your job. When you do, you can benefit from time-savings, greater accuracy and improved compliance.
Published By: Prophix
Published Date: May 31, 2016
Why is faster closing important? A faster close is a good indication of how well a company’s financial systems and procedures are performing. In today’s competitive market, the accounting function needs to improve existing processes and, at times, infrastructure to achieve greater efficiency and accuracy. When properly implemented, sound financial processes will improve information and deliver accurate data to decision makers throughout the entire year, and early enough to take corrective action.
Looking to improve accuracy of enterprise budgeting and financial planning? Just 1% of firms can forecast costs at 90% accuracy 30 days out. This white paper by BPM Partners and sponsored by Unit4 shows how Artificial Intelligence (AI) makes a real impact on budgeting, planning, and analysis, and when complemented with deep machine learning, gives greater accuracy to data, budget rules and budget drivers. Download now and learn how AI can help auto-tune your FP&A.
Factory production lines know the right jig or fixture speeds production, which increases productivity. But that’s just the beginning. Well-designed tools are more ergonomic, offering both increased worker safety and productivity, as well as cost savings. Traditional machining produces heavy, costly, multi-piece tools that become an even greater liability as repetitive motion injuries erode line productivity with worker disability. Redesign means even more protracted timelines for machined parts. While essential to efficiency, accuracy and safety, jigs and fixtures are often considered a necessary evil in the overall production process. Costly, protracted timelines for machined jigs and fixtures are the culprit here, especially for the often complex designs necessary to meet unique part needs. This, along with certain complex designs that simply cannot be manufactured using traditional methods are a reality on the production floor. But there is a better way. 3D printed jigs and fixture
By processing real-time data from machine sensors using artificial intelligence and machine learning, it’s possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield.
Read about our top data science best practices for becoming a smart manufacturer.
Join our webinar to hear how Consensus, a Target-owned subsidiary, utilizes AWS and Trifacta to prepare data for use in fraud detection algorithms. You’ll learn how self-service automated data wrangling can save your organization time and money, and tips for getting started with Trifacta’s solution, built for AWS.
Webinar attendees will learn:
Why automating your data wrangling tasks can lead to greater data accuracy and more meaningful insights.
How you can reduce your data preparation time by 60% and more with self-service data wrangling tools built for AWS.
How easy it is to get started with machine learning solutions for data wrangling on the cloud.
Research giant Forrester estimates that on average, data repositories for large applications grow by fifty percent annually. However, up to half of all that data can be duplicate or otherwise unnecessary. With no end in sight for the increase of raw data (both structured and unstructured), organizations must be ever more strategic about where and how to store enterprise information. Meanwhile, a tightening economy is putting pressure on costs, just as compliance mandates call for greater visibility into processes and data. What to do? Register for this Web Seminar to learn the four pillars of strategic storage, and how they can be used to simultaneously reduce costs, while improving speed, accuracy and accountability. The four pillars will be discussed in detail, with real-world examples of each: deep compression, database archiving,de-duplication thin provisioning.
Published By: FireEye
Published Date: Feb 28, 2014
If I were to boil down these survey results to a single sentence, it would be this: To keep pace with today’s advanced threats, incident response teams need tools and techniques that give them greater speed, accuracy and insight.