Systems | Development | Analytics | API | Testing

Accelerating Gen AI for Customer Service with Fivetran, Google Cloud, BigQuery and Vertex AI

Learn how Fivetran’s automated data movement platform allows you to accelerate building Gen AI applications for customer service in Google Cloud with BigQuery and Vertex AI. Kelly Kohlleffel steps you through creating four connectors to BigQuery, including a relational database connector plus Jira, Slack, and Zendesk connectors. Then you’ll see how easy it is to quickly build two Gen AI apps, one for search and one for chat, using Vertex AI and the new customer service datasets in BigQuery.

Accelerate Gen AI Securely With Snowflake Cortex And Snowpark Container Services

Fueled by vast data volumes and powerful computing, AI is revolutionizing work. To capture the value of Generative AI for business, companies need to customize LLMs with their enterprise data. But feeding sensitive data into externally hosted LLMs poses security and exposure risks, and self-hosting LLMs carry a heavy operational burden from maintaining complex environments.

University of British Columbia HART Accelerates Deployments with Koyeb

In the face of Canada’s housing crisis, the University of British Columbia’s Housing Assessment Resource Tools (HART) set out to make government census data more accessible. By developing more intuitive tools and offering valuable resources, HART plays a key role in providing essential information for governments, housing developers, and the public to make informed, data-driven decisions.

Virtual Private Cloud vs On Premises | Key Differences & How to Choose

Wondering which is the best way to host your business applications and IT infrastructure? Many enterprises are transitioning from on-premises software to cloud computing. On the other hand, several established companies are investing their capital in on-premises software. Both of these deployment models have advantages and drawbacks, and you can zero in on the right option by considering your specific requirements.

Codemagic helps Mobi Lab deliver mission-critical projects while saving them time and money

I am a software engineer and part of a team at Mobi Lab, a design agency. In Mobi Lab, we build successful digital products and augmented reality solutions for people on the go. In this post, I will share what we have learned about the importance of continuous integration and delivery (“CI/CD”) and how Codemagic improves our workflow and makes our clients happy.

5 Steps to Data Diversity: More Diverse Data Makes for Smarter AI

In an iconic Top Gun scene, Charlie tells Maverick that a maneuver is impossible. Maverick replies, “The data on the MIG is inaccurate.” In the more recent sequel, despite his extensive, firsthand knowledge, Maverick is told “the future’s coming and you’re not in it.” While flying may be more automated now, the importance of accurate and diverse data for aviation safety remains — and is likely even more critical.

iOS In-App Purchases: A Comprehensive Guide for Swift Developers

iOS in-app purchases, or IAPs, allow developers to offer content, services, and features within their iOS apps for users to purchase. This can provide a significant revenue stream for developers, while enabling users to enhance their experience or access premium content and services. An iOS in app purchase can be a good alternative to paid applications, as an iO app developer can offer the app for free and monetize it via app purchasing options.

What is Snowflake | A Comprehensive Overview with Pros and Cons

Snowflake is a technology company offering a cloud-based data warehouse for data storage and analytics. Snowflake has been making headlines lately, having reported $1.1 billion in revenue for the fiscal year ending Jan. 31, 2022—that’s 106% growth year-on-year.