Systems | Development | Analytics | API | Testing

3 mindset shifts to succeed with test automation

Test Automation is a necessary precondition for high-quality modern development. Testing and test automation must be integrated into the software delivery processes to give the team the right level of feedback, at the right time, and to ensure high-quality software. One of the biggest challenges of building a test automation framework that works on a long-term, scalable basis, is that it requires fundamentally different conditions compared to a predominantly manual testing approach.

How Snowflake CIO and CDO, Sunny Bedi drives efficiency and decision intelligence at scale with Live Analytics

For Snowflake CIO and CDO, Sunny Bedi, “life after dashboards” isn’t just a catchy tagline – it’s how he runs his business. At the helm of Snowflake’s 250-person IT and security organization, Bedi oversees a range of strategic initiatives including security and access control, data quality, and general system availability and performance.

ChaosSearch in Two Minutes!

ChaosSearch helps modern organizations Know Better™ by activating the data lake for analytics. The ChaosSearch Data Lake Platform indexes customers’ cloud data, rendering it fully searchable and enabling analytics at scale with massive reductions of time, cost and complexity. ChaosSearch was purpose-built for cost-effective, highly scalable analytics encompassing full text search, SQL and machine learning capabilities in one unified offering. The patented ChaosSearch technology instantly transforms your cloud object storage (Amazon S3, Google Cloud Storage) into a hot, analytical data lake.

Explaining machine learning models to business users using BigQueryML and Looker

Organizations increasingly turn to AI to transform work processes, but this rapid adoption of models has amplified the need for explainable AI. Explaining AI helps us understand how and why models make predictions. For example, a financial institution might wish to use an AI model to automatically flag credit card transactions for fraudulent activity. While an accurate fraud model would be a first step, accuracy alone isn’t sufficient.