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TrueDialog Adds SMS Application for Salesforce Marketing Cloud Engagement

TrueDialog Adds SMS Application for Salesforce Marketing Cloud Engagement

TrueDialog Unveils SMS Integration for Salesforce Marketing Cloud

TrueDialog, a leader in SMS texting solutions, has expanded its Salesforce offerings with the launch of its SMS integration for Salesforce Marketing Cloud Engagement, complementing its existing Sales Cloud application. Now available on Salesforce AppExchange, this addition enables seamless documentation of SMS activities across the Salesforce Cloud ecosystem.

With TrueDialog’s integration for Salesforce Marketing Cloud, companies can incorporate SMS into customized, targeted marketing journeys. This includes sending promotional messages, geo-targeted offers, triggered alerts, order confirmations, account updates, and more—all as part of a cohesive customer engagement strategy.

TrueDialog’s solution uniquely enables SMS message flow across Salesforce Marketing Cloud, Sales Cloud, Service Cloud, and Education Cloud, ensuring communication continuity across platforms. “TrueDialog is the only provider offering bidirectional SMS integration between Salesforce Marketing Cloud and other Salesforce Clouds, including Sales, Service, Commerce, and Education Clouds,” said John Wright, CEO of TrueDialog. “Our solution records text messages on all relevant Salesforce Clouds, maintaining communication continuity between companies and their customers—something no other provider offers.”

The TrueDialog SMS application is fully native to Salesforce Marketing Cloud, allowing users to work within their regular workflow without switching applications to integrate SMS steps. TrueDialog also offers flexible options for short and long codes, automated 10DLC registration for long codes, and TrueDelivery, a tool for assessing SMS deliverability.

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Transform Customer Experience

Transform Customer Experience

In today’s AI-driven business environment, customer experience (CX) has evolved from being a buzzword to a critical factor in determining success. It’s no longer enough for businesses to offer high-quality products or excellent service alone—today’s customers are always online, engaged, and seeking the most convenient, relevant, and enjoyable experiences. This is where Salesforce Data Cloud

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What Should Enterprises Build with Agentic AI?

What Should Enterprises Build with Agentic AI?

The rise of agentic AI has dominated recent discussions in enterprise technology, sparking debates over its transformative potential and practical applications. Just weeks ago, few had heard of the term. Now, every tech vendor is racing to stake their claim in this emerging space, positioning agentic AI as the successor to AI co-pilots. While co-pilots assist users

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Slack User Personas

Slack User Personas

A research team at Slack recently surveyed 5,000 full-time desk workers to understand what drives their use of AI-enhanced workplace tools. They found that people typically fall into one of five distinct personas, as identified by Slack’s Workforce Lab: What’s fascinating about this approach is how it aligns with the concept of managing people through

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AI Agent Workflows

AI Agent Workflows

AI Agent Workflows: The Ultimate Guide to Choosing Between LangChain and LangGraph Explore two transformative libraries—LangChain and LangGraph—both created by the same developer, designed to build Agentic AI applications. This guide dives into their foundational components, differences in handling functionality, and how to choose the right tool for your use case. Language Models as the Bridge Modern

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AI Innovation at Salesforce

AI Innovation at Salesforce

AI innovation is advancing at an unprecedented pace, unlike anything I’ve seen in nearly 25 years at Salesforce. It’s now a top priority for every CEO, CTO, and CIO I speak with. As a trusted partner, we help customers innovate, iterate, and navigate the evolving AI landscape. They recognize AI’s immense potential to revolutionize every

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Rise of Agentforce

Rise of Agentforce

The Rise of Agentforce: How AI Agents Are Shaping the Future of Work Salesforce wrapped up its annual Dreamforce conference this September, leaving attendees with more than just memories of John Mulaney’s quips. As the swarms of Waymos ferried participants across a cleaner-than-usual San Francisco, it became clear that AI-powered agents—dubbed Agentforce—are poised to transform

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Salesforce Says AI Should Be a Partner

Salesforce Says AI Should Be a Partner

Salesforce Says AI Should Be a Partner, Not Just a Tool As AI continues to evolve rapidly, Salesforce’s chief ethical and humane use officer, Paula Goldman, urged businesses to rethink how they integrate AI in the workplace. According to Goldman, we are at a pivotal moment where AI should be seen as a partner rather

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Artificial Intelligence and Sales Cloud

Artificial Intelligence and Sales Cloud

Artificial Intelligence and Sales Cloud AI enhances the sales process at every stage, making it more efficient and effective. Salesforce’s AI technology—Einstein—streamlines data entry and offers predictive analysis, empowering sales teams to maximize every opportunity. Artificial Intelligence and Sales Cloud explained. Artificial Intelligence and Sales Cloud Sales Cloud integrates several AI-driven features powered by Einstein

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Salesforce Flow Tests

Salesforce Flow is Here

Hello, Salesforce Flow. Goodbye, Workflow Rules and Process Builder. As Bob Dylan famously sang, “The times they are a-changin’.” If your nonprofit is still relying on Workflow Rules and Process Builder to automate tasks in Salesforce, it’s time to prepare for change. These tools are being retired, but there’s no need to panic—Salesforce Flow, a more powerful,

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Scaling Generative AI

Scaling Generative AI

Many organizations follow a hybrid approach to AI infrastructure, combining public clouds, colocation facilities, and on-prem solutions. Specialized GPU-as-a-service vendors, for instance, are becoming popular for handling high-demand AI computations, helping businesses manage costs without compromising performance. Business process outsourcing company TaskUs, for example, focuses on optimizing compute and data flows as it scales its gen AI deployments, while Cognizant advises that companies distinguish between training and inference needs, each with different latency requirements.

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GENAI Shows No Racial or Sexual Bias

Researchers from Mass General Brigham recently published findings in PAIN indicating that large language models (LLMs) do not exhibit race- or sex-based biases when recommending opioid treatments. The team highlighted that, while biases are prevalent in many areas of healthcare, they are particularly concerning in pain management. Studies have shown that Black patients’ pain is

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AI in Programming

AI in Programming

Since the launch of ChatGPT in 2022, developers have been split into two camps: those who ban AI in coding and those who embrace it. Many seasoned programmers not only avoid AI-generated code but also prohibit their teams from using it. Their reasoning is simple: “AI-generated code is unreliable.” Even if one doesn’t agree with

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AI That Forgets

AI That Forgets

Salesforce has introduced a generative AI system designed to prioritize data privacy through a unique “forgetting” feature. This innovation allows the AI to process information through large language models (LLMs) without retaining the data, helping companies manage sensitive information more securely. As part of the latest wave in generative AI, Salesforce’s solution takes the form

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AI Risk Management

AI Risk Management

Organizations must acknowledge the risks associated with implementing AI systems to use the technology ethically and minimize liability. Throughout history, companies have had to manage the risks associated with adopting new technologies, and AI is no exception. Some AI risks are similar to those encountered when deploying any new technology or tool, such as poor

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