Slides: How AI Makes Analytics More Human from DATAVERSITY To view just the On Demand recording of this presentation, click HERE>> This webinar is sponsored by: About the Webinar People think AI makes analytics less human, replacing human decision making. But the truth is, AI actually makes analytics more human. Augmented analytics are helping organizations finally […]
Webinar: How AI Makes Analytics More Human
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar People think AI makes analytics less human, replacing human decision making. But the truth is, AI actually makes analytics more human. Augmented analytics are helping organizations finally break through the low levels of adoption and limitations typical of […]
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 […]
Is Lakehouse Architecture a Grand Unification in Data Analytics?
Click to learn more about author Arsalan Farooq. I do not think it is an exaggeration to say data analytics has come into its own over the past decade or so. What started out as an attempt to extract business insights from transactional data in the ’90s and early 2000s has now transformed into an […]
Closing the Data Science Skills Gap at Your Organization
Click to learn more about author Itamar Ben Hamo. Data scientists are some of the most in-demand professionals on the market. A LinkedIn Workforce Report in 2018 found 151,000 unfilled data scientist jobs across the United States, with “acute” shortages in San Francisco, Los Angeles, and New York City. And the demand for data scientists […]
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 […]