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Fundamentals of Self-Service Business Intelligence

It’s clear that there is considerable recent market movement towards self-service business intelligence (SSBI) in the numerous vendor offerings available. There is also a growing concern among the Data Science community that ordinary business users may misunderstand or misinterpret the available data, leading to incorrect results. Experienced data scientists have a tremendous ability to analyze, […]

How to Ensure Your New Cloud Data Lake Is Secure

Click to learn more about author Brian Lachance. Enterprises migrating on-prem data environments to the cloud in pursuit of more robust, flexible, and integrated analytics and AI/ML capabilities are fueling a surge in cloud data lake implementations. The rationale is justified: Compared with legacy on-prem infrastructure, cloud data lakes – if implemented correctly – promise […]

What Is Explainable AI and Its Impact?

Click here to learn more about Dustin Oxborrow. Artificial intelligence (AI) drives a growing share of decisions that affect every aspect of our lives, from where to take a vacation to health care recommendations that could affect our life expectancy. As AI’s influence grows, market research firm IDC expects spending on it to reach $98 billion in 2023, […]

Slides: Using Analytics and Fraud Management To Increase Revenues and Differentiate Yourself From the Competition

Slides: Using Analytics and Fraud Management To Increase Revenues and Differentiate Yourself From the Competition from DATAVERSITY To view just the On Demand recording of this presentation, click HERE>> This webinar is sponsored by: About the Webinar Fraud has many costs to a business, not only in terms of real dollars lost, but also in […]

Webinar: Using Analytics and Fraud Management To Increase Revenues and Differentiate Yourself From the Competition

To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Fraud has many costs to a business, not only in terms of real dollars lost, but also in draining company resources investigating and prosecuting fraud and in reputational damage. For these reasons alone, companies should put systems […]

Scaling Machine Learning Applications

When the number of users for a predictive model grows, it is expected (albeit often wrongly) that the machine learning powered systems will automatically scale to keep up with this growth. If the system fails to scale, processing requirements may outpace performance. Using an example from a LinkedIn article, a sample recommender system fails to […]