The Evaluator
Your go-to blog for insights on AI observability and evaluation.
Showing 391–400 of 458 posts (page 40 of 46)
What Every Enterprise Can Do To Ensure The Long-Term Success and Sustainability of AI Initiatives
To see how Arize can help your organization accomplish the goals set out in this piece, request a trial. Today, nearly any company – even enterprises with large teams of sophisticated data scientists and engineers – can be brought to heel by machine learning (ML) models that fail spectacularly in the real world. Whether it’s…
Introducing Remi Cattiau, Arize’s Chief Information Security Officer
Arize is currently hiring over ten positions. Join us! Remi Cattiau is Arize AI’s Chief Information Security Officer (CISO). Originally from France, Remi brings nearly two decades of experience as a developer, consultant, and executive charged with overseeing cloud security for large enterprise clients. Since joining Arize in late November, Remi is already making an…
How ML Observability Helps America First Credit Union Stay a Step Ahead
Insights from Arize AI’s fireside chat with client America First Credit Union Last month, we hosted a webinar on “Best Practices in ML Observability for Lending & Insurance” featuring a fireside chat with America First Credit Union’s Data Science Manager Richard Woolston. In the wide-ranging interview, Woolston shares his thoughts on the evolving financial services…
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Best Practices In ML Observability for Customer Lifetime Value (LTV) Models
Learn more about how Arize helps clients observe lifetime value models, sign up for a free account, dive into an interactive demo or request a trial of Arize. The age-old saying still holds: the customer is always right, but some are more right than others (that’s the saying, right?). While there are many metrics to…
Five Predictions for AI In 2022
To learn more about how Arize can help you better navigate 2022, view a demo or request a trial. AI is a game of predictions. Every day, machine learning (ML) models in nearly every industry make important predictions to inform everything from demand forecasting to fraud prevention. With that in mind, It’s only fitting that…
What Are the Prevailing Explainability Methods?
Welcome to “The Slice,” a new blog series from Arize that explains the essence of ML concepts in a digestible question-and-answer format. Learn more about how Arize can help you tackle explainability or request a trial. What Is Explainability in Machine Learning? The adoption of machine learning (ML) has resulted in an array of artificial…
Best Practices In ML Observability for Click-Through Rate Models
Learn more about how Arize helps clients observe click-through rate models, dive into an interactive demo or request a trial of Arize. Total digital ad spending is expected to reach $455.3 billion this year. Of that, 55.2% will go to display advertising and 40.2% will go to search. With digital formats commanding the lion’s share…
Solving Data Quality with ML Observability and Data Operations
Ensuring high quality for structured data (with ML observability) and unstructured data (with Data Operations) This is a joint piece written in partnership with Superb AI Introduction As the practice of machine learning (ML) becomes more similar to that of other software engineering disciplines, it requires processes and tooling to ensure seamless workflows and reliable…
Can AI Help Make Social Media More Accessible, Inclusive and Safe?
Looking outside the U.S. yields fresh perspective — and hope Ramit Sawhney is Lead AI Scientist at ShareChat, a rapidly-growing social media unicorn valued at over $3 billion. While ShareChat may not be a household name in the U.S., it is in South Asia. In all, over 160 million active monthly users — including millions…
Ancestry CEO Deb Liu on Building Teams, Closing the Gender Gap in Product and Learning from Failure
We recently had the opportunity to sit down with Deb Liu, President & CEO of Ancestry. In addition to her role as President & CEO, Deb is an author, speaker and former senior executive at Facebook where she created and led the company’s Marketplace service. We were excited to learn about Deb’s vision for Ancestry…
