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Category

Machine Learning

Rachel Robison
Rachel RobisonIn AI, Explainable AI, Machine Learning

The Future of AI in Insurance: Explainable AI

Explainable AI (XAI) allows insurance companies to understand, explain, and trust AI-based decisions. XAI ensures fairness for insurers customers and regulators.

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Rachel Robison
Rachel RobisonIn AI, Explainable AI, Finance, Machine Learning

Why the Banking Industry Needs Explainable AI

Learn how the “Explainable AI” solution is increasing customer trust, eliminating biased AI, and quickly transforming the banking industry for the better.

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Rachel Robison
Rachel RobisonIn AI, Explainable AI, Machine Learning

Why CFOs and Finance Managers need Explainable AI

As technology advances and AI become more common within enterprises, the number of Finance teams that utilize the powerful insights that AI and machine learning can provide is increasing quickly. While AI is undoubtedly benefiting financial operations, there is still a risk in blindly trusting...
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Rachel Robison
Rachel RobisonIn AI, Big Data, Machine Learning

Text Analytics | Mining New Insights From Text With AI

Excerpts are optional hand-crafted summaries of your content that can be used in your theme

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Rachel Robison
Rachel RobisonIn AI, Machine Learning

Why Your Industry Needs Explainable AI (XAI) And How You Can Benefit From It

So how does it work within an organization or company?

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Sierra
SierraIn Anomaly Detection, Machine Learning

Why Anomaly Detection is Important?

Anomaly detection is the process of finding patterns in data that don’t conform to a model of normal behavior. Unless you’re a data scientist or practitioner familiar with tools that offer algorithms for pattern recognition, the principles behind anomaly detection may seem obscure and unapproachable....
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Sierra
SierraIn Finance, Machine Learning

The case for continuous monitoring of financial transactions

What does continuous monitoring of financial transactions mean? In short, Continuous Monitoring (CM) of financial transactions is a reporting system that continuously monitors financial transactions and provides timely and relevant (actionable) information for an executive to review and make necessary decisions. This is in sharp...
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Darshana Daga
Darshana DagaIn AI, Machine Learning

Anomaly Detection – A Machine Learning Solution to Eliminate Risk

With the rapid growth of the internet and the IoT and the resultant digital transformation of the world we live in, there is an explosion of data that is being generated, collected and stored. There is data available for “normal” transactions, as well as for...
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Darshana Daga
Darshana DagaIn Data Sciences, Fraud Detection, Machine Learning

Supercharging your Financial Control & Fraud Detection Initiatives; the Role of Data Quality

Effective fraud detection and financial control initiatives leverage advanced analytics and machine learning techniques to derive valuable and actionable information for managers. The reliability of the results produced by these data intensive techniques is DIRECTLY dependent on the quality and quantity of data available for...
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Darshana Daga
Darshana DagaIn Fraud Detection, Machine Learning

Huge Payoff is Possible by Identifying Fraud Schemes

The volume and dollar value of fraudulent transactions has mushroomed in recent years due to the phenomenal growth of electronic transactions that span every industry segment, coupled with the relative anonymity that online commerce offers to crooks of all shades. In the era of extreme...
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  • Solutions
    • Machine Learning & Predictive Analytics
    • Instant Anomaly Detection
    • Sentiment Insights & Text Analytics
    • Advanced Data Management
    • Intelligent Data Preparation (IDP)
    • Delivery Models
  • About
  • Success Stories
  • Insights
    • Blogs
    • White Papers
  • Events
  • Careers
  • Schedule a Meeting
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