Generative AI vs Predictive AI: Unpacking Their Unique Capabilities
Generative AI vs Predictive AI: Unpacking Their Unique Capabilities
In the modern age of AI, data is your key to gaining a competitive advantage.
Technology has never been more thrilling, with AI ushering in revolutionary methods for problem-solving, enhancing customer engagement, and improving operational efficiency.
Yet, many businesses continue to face challenges with isolated data, which hampers innovation, conceals crucial insights, and diminishes the potential benefits of AI throughout the organization.
Explore a quicker, more intelligent approach to innovation: The Google Cloud Cortex Framework. This framework expedites the integration of enterprise data for comprehensive insights and opens new avenues for AI to revolutionize customer interactions, increase revenue, and lower costs that may be obscured within your company’s data and applications.
Built upon a foundation ready for AI and data, the Cortex Framework provides all the essentials for designing, building, and deploying solutions tailored to specific business challenges and opportunities, including approved reference architectures and pre-packaged solution deployment content. In this blog, we offer a brief overview of the Cortex Framework and shed light on some recent advancements.
Gain a comprehensive view of your business with a unified data foundation
The Cortex Framework provides a unified data foundation for companies by integrating and enhancing insights from private, public, and community sources for more in-depth analysis.
Our latest update expands the Cortex Data Foundation to include new data and AI capabilities for enterprise data sources such as Salesforce Marketing Cloud, Meta, SAP ERP, and Dun & Bradstreet. This integration facilitates insights across the enterprise, fostering opportunities for optimization and innovation.
Enhanced intelligent marketing applications
Enhance your marketing strategies using a single data foundation that integrates enterprise data, including sources like Google Ads, Campaign Manager 360, TikTok, and now Salesforce Marketing Cloud and Meta, connected through BigQuery via the Cortex Framework. This setup includes pre-defined data ingestion templates, data models, and sample dashboards. By integrating additional business data, such as sales and supply chain sources within the Cortex Data Foundation, you can swiftly generate insights and explore how your overall campaign and audience performance impacts sales and supply chain operations.
Explore new applications for sustainability management.
Gain access to up-to-date insights on environmental, social, and governance (ESG) risks and opportunities. Seamlessly integrate Dun & Bradstreet’s ESG ranking data with your SAP ERP supplier data to effectively monitor and enhance ESG performance and objectives. Utilize preconfigured data ingestion templates, data models, and a sample dashboard tailored for sustainability analytics, empowering informed decision-making. Address inquiries such as: “How does the ESG performance of my raw material suppliers compare to industry standards?” “To what extent can they quantify and mitigate greenhouse gas emissions?” and “How committed are they to environmental compliance and corporate governance?
Explore streamlined finance scenarios to enhance understanding of liquidity, solvency, and financial agility for strategic growth investments, leveraging pre-defined data ingestion templates, models, and sample dashboards for insightful analysis of SAP ERP data, encompassing balance sheet and income statement reporting.
Boost AI advancement while ensuring data security
Our latest solution content introduces a metadata framework, leveraging BigQuery and Dataplex, to facilitate streamlined data discovery, access control, and governance within Cortex Data Foundation. Here’s how it works:
1. Organizes predefined data models in Cortex Data Foundation according to business domains.
2. Enhances tables, views, and columns in Cortex Data Foundation with semantic context to enhance data asset search and discovery.
3. Facilitates natural language to SQL capabilities, providing logical context for Cortex Data Foundation content to Language Model Models (LLMs) and general AI applications.
4. Annotates data access policies for consistent enforcement of access controls and sensitive column masking.
By implementing a data mesh strategy, Cortex Data Foundation models can significantly improve generative AI search efficiency and discovery, along with enforcing fine-grained access policies and governance. Discover how our suite of solutions can drive your business towards next-level innovation and efficiency.
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