Build vs. buy for AI: Choosing the right data foundation
When faced with new innovations like GenAI, every company must avoid pitfalls that result in unscalable and unsustainable solutions.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
A deep dive into asdf and version managers
Version managers, in general, are hacks. But they are useful hacks, as they solve a real problem: we all work on multiple projects at the same time, and each project needs a different version of tooling like Go, Python, or Ruby. It’s not enough to install a single version system-wide and hope for the best. Even if we can get away with using a single version across all projects, it would only be temporarily and accidentally working.
Streamlining Generative AI Deployment with New Accelerators
The journey from a great idea for a Generative AI use case to deploying it in a production environment often resembles navigating a maze. Every turn presents new challenges—whether it’s technical hurdles, security concerns, or shifting priorities—that can stall progress or even force you to start over.
AI Governance, Data Governance, and AI Data Governance: Pillars of AI Success
How are AI governance and data governance related? Better still, what’s more important for an organization to focus on, AI-powered data governance or AI data governance? These are important questions, but before we answer these, let’s understand how AI and data governance are related to each other.
Gen AI for Marketing - From Hype to Implementation - MLOps Live #32 with McKinsey and 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!
Customer Facing AI Agent
This demo recorded during our MLOps Live Webinar #32 showcases a customer-facing AI agent developed for a jewelry retailer. This can be used as a marketing tool to offer personalized product recommendations and purchasing information and support.
Supercharge BigQuery with Claude
Integrating Anthropic's Claude models into BigQuery opens new doors for advanced analytics and insights. From security enhancements to content localization, the possibilities are vast. Learn how in this quick tutorial. Speaker: Billy Jacobson Products Mentioned: Cloud - Data Analytics - BigQuery.
Special Episode: How to make generative AI a reality | Capgemini
George Fraser, CEO of Fivetran, Bob Muglia, former CEO of Snowflake, and Steve Jones, EVP of Capgemini discuss the challenges and solutions to creating mature, production-ready generative AI models. It’s not just about algorithms or data — success lies in effective data management.
Generative AI Testing: Essential Strategies and Insights for System Validation
STARWEST 2024 was not just a conference; it was a vibrant hub of exploring knowledge and exploration into the transformative realm of generative AI and software testing. At this event, we started day 2 with an energetic workshop of "Evaluating and Testing Generative AI: Insights and Strategies", led by Jason Arbon, CEO of Checkie.AI, which covered the complex challenges of testing AI systems like ChatGPT and LLAMA.
Key Best Practices for Testing on New Devices (iPhone 16 series)
In this video, we dive into a few key strategies for testing on the latest device models, to ensure your app stays cutting-edge and performs seamlessly on the newest platforms.