Generative AI Archives - Page 2 of 4 - gettectonic.com
Personalization With Customized AI-Driven Journeys

Personalization With Customized AI-Driven Journeys

AI-Enabled Triggers for Guiding Customer Journeys – Personalization With Customized AI-Driven Journeys Initiate timely and relevant customer experiences that seamlessly lead individuals through their purchasing journey. Employ AI-powered decision-making to identify the most suitable next steps for customers, offering personalized suggestions based on real-time behavior, historical data, and business-specific datasets such as pricing and inventory.

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How Good is Our Data

How Good is Our Data?

Generative AI promises to significantly reshape how you manage your customer relationships, but it requires data that is accurate, updated, accessible, and complete. Why is this important? You may do something differently this quarter than you did last quarter, based on the latest data. But if your data is outdated or incorrect, that’s what the

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Marketing Cloud Growth Extends The Platform

Marketing Cloud Growth Extends The Platform

Marketing Cloud Growth extends the platform capabilities to enhance your team’s marketing endeavors. It allows you to integrate multiple data sources with Data Cloud, create content using Digital Experiences, orchestrate complex customer journeys with Flow Builder, and optimize campaigns with Einstein AI. Required Editions: Available in Salesforce Enterprise and Unlimited Editions with Marketing Cloud Growth

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Salesforce prompt builder

Create Test and Refine Prompt Templates With Prompt Builder

Salesforce has introduced Prompt Builder, a revolutionary tool powered by generative AI, designed to enhance business tasks by seamlessly integrating prompts into workflows. This article delves into the core AI concepts underlying Prompt Builder, offering insights into creating, managing, testing, and refining prompt templates for optimal performance. Before digging into the intricacies of this new

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AI Capability Maturity Model

AI Capability Maturity Model

The AI Capability Maturity Model (AI CMM), devised by the Artificial Intelligence Center of Excellence within the GSA IT Modernization Centers of Excellence (CoE), functions as a standardized framework for federal agencies to evaluate their organizational and operational maturity levels. It is equally useful for private organizations in aligning them with predefined objectives. Instead of

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Generative AI Glossary

Key Questions to Ask About Generative AI Before Diving into the Gene Pool

As generative AI plays an increasingly significant role in shaping business decisions and reshaping customer relationships, leaders must grasp the potential.  This means use cases, and risks associated with AI. The good, the bad, and the ugly.  Questions to Ask About Generative AI gene pool. The journey begins with asking pertinent questions. Are you feeling

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Salesforce Einstein AI Trust Layer

Einstein AI Trust Layer Explained

The Einstein Trust Layer is a secure AI architecture. It is natively built into the Salesforce Platform. Designed for enterprise security standards the Einstein Trust Layer continues to allow teams to benefit from generative AI. Without compromising their customer data, while at the same time letting companies use their trusted data to improve generative AI

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AI's Impact on the Workforce

AI’s Impact on the Workforce

According to McKinsey, generative AI has the potential to contribute between $2.6 trillion and $4.4 trillion in value to the global economy across various industries, spanning banking, retail, high tech, healthcare, and life sciences. Its impact is expected to reach diverse professions, including customer operations, marketing and sales, software engineering, and research and development. The

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Cloud Based Business Solutions

What Can’t Generative AI Do?

There is a tremendous amount of discussion about all the capabilities of generative AI, but once in a while it doesn’t hurt to look at the other side of the AI coin.  The USC Library published a piece in October of 2023 that did just that. In addition to the identified limitations discussed below, generative

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