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/ 8 MIN READ

Data Analytics is The Foundation of an Enterprise AI Strategy

There is a massive global investment in enterprise AI . While the potential for AI-driven value is huge, organizations are struggling with a common set of challenges to realizing this potential: Lack of data scientists,…

Posted By: Dave Mariani

/ 7 MIN READ

Augmented Analytics: The Convergence of BI and Data Science

One of the defining themes of digital transformation is the proliferation of AI-driven insights across all enterprise business processes. With the growth of cloud data platforms, the complexity of managing big data has been radically…

Posted By: Daniel Gray

/ 5 MIN READ

How Top Data Leaders Align AI & BI to Business Outcomes

Many organizations still view machine learning and big data analytics through a technical prism. Business leaders know that the fundamental value proposition of these methodologies is in achieving better business outcomes.  I had the pleasure…

Posted By:

/ 5 MIN READ

Accelerate Data Science and AutoML with a Semantic Layer

At AtScale, we love talking to data and analytics technologists and hearing their stories. We recently hosted a tech talk (presentation and demo) with Ben Taylor, Chief AI Evangelist at DataRobot , about how AtScale…

Posted By: Dave Mariani

/ 6 MIN READ

Rethinking Feature Stores to Better Align AI/ML to Business Impact

“We are drowning in information, but starved for knowledge.” – John Naisbitt The wheels of commerce are always churning, pushing merchants to find new opportunities, answers to questions, and the next breakthrough strategy to keep…

Posted By: Zach Eslami

/ 6 MIN READ

The Business Impact of Using a Semantic Layer for AI and BI

Companies are in the midst of making major investments in modern cloud data and analytics platforms to improve business growth, customer loyalty, efficiency, and profitability. Questions concerning if an investment to enable data, insights, and…

Posted By: Prashanth Southekal, PhD, MBA