As the era of big data continues to march forward, so does the number of data breaches. Organizations seem to become more vulnerable every day with breaches rising at an alarming rate. In fact, studies indicate that companies are attacked an average of thousands of times per year, and many of those attacks result in a quantifiable data breach. With this reality facing us, many security experts are convinced that data breaches are inevitable. So if that is the case, what can your organization do to minimize the damage?
Six important lessons that we¿ve learned from the field are revealed inside of this e-book.
Our expert panel discusses the critical questions addressing machine learning in credit risk and key findings for best practices for building, fine-tuning and deploying robust and effective ML models.
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