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alphabin

The Impact of AI and Machine Learning In Quality Assurance

Oct 16, 2024 By Pratik Patel In Alphabin
Some of the popular AI tools people and corporations are using now include ChatGPT, Google Gemini, and Microsoft Copilot. This has resulted in higher usage and adoption of this technology and this has caused some worry among people, particularly in terms of employment. However, for software testers, these changes should be seen as a chance to improve rather than a threat.
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snowflake

Build and Manage ML Features for Production-Grade Pipelines with Snowflake Feature Store

Oct 7, 2024 By Sandeep Gupta In Snowflake
When scaling data science and ML workloads, organizations frequently encounter challenges in building large, robust production ML pipelines. Common issues include redundant efforts between development and production teams, as well as inconsistencies between the features used in training and those in the serving stack, which can lead to decreased performance. Many teams turn to feature stores to create a centralized repository that maintains a consistent and up-to-date set of ML features.
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ClearML

How ClearML Stacks Up Against Alternate Solutions - Weights & Biases

Oct 4, 2024 By ClearML In ClearML
At first glance, ClearML’s AI Development Center and alternatives such as Weights & Biases seem to offer similar capabilities for MLOps. For example, both solutions support experiment management, data management, and orchestration. However, each product is designed to solve a different use case. It is important to understand how these approaches affect the user experience.
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ClearML

The Cloud Exit: Cost, Security, and Performance Driving the Move Back to On-Premises

Oct 1, 2024 By ClearML In ClearML
The last decade has seen a giant shift by organizations into the cloud for software, storage, and compute, resulting in business benefits ranging from flexibility and lower up-front costs to easier maintenance. But lately we have seen more and more companies re-evaluating their cloud strategies and opting to move their data back to on-premises infrastructure due to several key factors.
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Qlik AutoML Series - Understanding Coordinate SHAP Analytics - Video 5

Sep 25, 2024 By Qlik In Qlik
In this video, we breakdown the analytics you can create from the provided Coordinate SHAP data when used within Qlik AutoML. SHAP data helps determine the WHY behind the machine learning model predictions. Learn how SHAP values break down the influence of individual features on specific outcomes, helping you gain deeper insights into model behavior. This is part 5 of the Qlik AutoML series, focusing on making machine learning more interpretable for users.
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Gen AI for Marketing - From Hype to Implementation - MLOps Live #32 with McKinsey and Iguazio

Sep 25, 2024 By Iguazio In Iguazio
In this MLOps Live session we were joined by Eli Stein, Partner and Modern Marketing Capabilities Leader at McKinsey, to delve into how data scientists can leverage generative AI to support the company’s marketing strategy. We showcased a live demo of a customer-facing AI agent developed for a jewelry retailer, which can be used as a marketing tool to offer personalized product recommendations and purchasing information and support. Following the demo, we held an interactive discussion and Q&A session. Enjoy!
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qlik

Empowering Analytics Teams: Qlik AutoML's Next Evolution

Sep 10, 2024 By Dave Cook In Qlik
In today's data-driven business landscape, the ability to predict trends, explain drivers, and act on insights is no longer a luxury—it's a necessity. Yet for many organizations, the path from data to predictive intelligence remains challenging. Data science resources are scarce, and traditional tools often require specialized expertise that most analytics teams lack. At Qlik, we believe that the power of predictive analytics should be accessible to all.
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