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
Analytics
Crafting a marketing plan to hit your company goals
Learn how to build a marketing plan that aligns with your company’s goals, and helps ensure you hit your marketing targets. We’ll cover everything from working with sales and other teams, to identifying the “levers” you need to pull to have the best chance of hitting your target.
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.
Atomic Tessellator: Revolutionizing Computational Chemistry with Data Streaming
Computational chemistry relies on large volumes of complex data in order to provide insights into new applications, whether it’s for electric vehicles or new battery development. With the emergence of generative AI (GenAI), the rapid, scalable processing of this data has become possible and critical to investigate previously unexplored areas in catalysis and materials science.
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.
5 Ways to Approach Data Analytics Optimization for Your Data Lake
While data lakes make it easy to store and analyze a wide variety of data types, they can become data swamps without the proper documentation and governance. Until you solve the biggest data lake challenges — tackling exponential big data growth, costs, and management complexity — efficient and reliable data analytics will remain out of reach.
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.
Qlik AutoML Series - Understanding Coordinate SHAP Analytics - Video 5
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.