Bridging the AI Gap: How Synthetic Data Powers Enterprise Intelligence

The scoop: Just as a human professional gains expertise through real-world experience and specialized training, enterprise AI agents need to be immersed in realistic business scenarios. An AI agent trained solely on general internet data would struggle to navigate the complexities of a customer relationship management (CRM) system or a supply chain. 

That’s why synthetic data is essential to unlocking enterprise-grade AI. By populating a simulated environment with thousands (or even millions) of synthetic records, including accounts, leads, opportunities, and even simulated multi-turn customer conversations, AI agents can be trained to understand business context, handle complex queries, adhere to business rules, and scale effectively. 

And ultimately, by demonstrating an agent’s reliable performance in a synthetic environment, businesses can gain confidence in its capabilities before deploying it with real data.

Also in this edition: 

• Why a secure, Zero Copy data foundation is essential for building trusted AI.

• How businesses are moving beyond chatbots with AI agents that provide personalized, concierge-level retail experiences.

• Learn how dozens of companies across industries are transforming their businesses with AI agents powered by Agentforce.

And more.

The Big Story

The Indispensable Role of Synthetic Data in Enterprise AI

Since synthetic data mimics real-world conditions without the risk, companies can move faster and more safely than ever before.

When a business needs an AI agent to perform like a seasoned professional, Salesforce can simulate the exact environment and data it needs to learn. And Salesforce’s intrinsic understanding of structured CRM data and the context in which it operates allows it to generate synthetic data that is not merely random, but intelligently structured and contextually relevant, mirroring the actual complexity of an enterprise’s operations. 

Read more.

Latest News

Salesforce Signs Definitive Agreement to Acquire Bluebirds

Salesforce has signed a definitive agreement to acquire Bluebirds, a leading AI-powered prospecting platform that helps sales teams identify and engage high-potential leads using advanced lead intelligence and data enrichment.

Bluebirds’ agentic technology streamlines top-of-funnel prospecting, helping sales teams connect with the right leads faster and work more efficiently. Upon close, Salesforce plans to bring these capabilities into Sales Cloud and Agentforce, giving customers new ways to automate pre-sales work and drive productivity.

“Every sales team wants to spend less time on busywork and more time closing deals,” said Kris Billmaier, EVP and GM, Sales Cloud, Salesforce. “Bluebirds’ technology will help us deliver smarter, AI-powered prospecting that makes sellers more productive from day one, right inside the Salesforce platform.”

Read more.

Salesforce Increases Investment in Genesys to Advance AI-Driven Customer Experience  

Salesforce announced a follow-on investment in Genesys, a global leader in AI-powered experience orchestration, building on Salesforce’s CX Cloud partnership with Genesys that already supports 250+ joint customers. 

This expanded investment deepens Salesforce’s partnership at a time when rising customer expectations call for more intelligent and adaptive technology. Genesys plays an important role in the Salesforce ecosystem. Its cloud platform is deeply embedded within the operations of leading enterprises around the world, including shared customers across Service Cloud, Data Cloud, and Tableau. 

This investment underscores Salesforce’s broader strategy to embrace open collaboration, interoperability, and continuous innovation across the customer experience landscape.

Read more.

Salesforce Named a Leader in the 2025 IDC MarketScape on Low-Code & No-Code Developer Technologies

Salesforce announced that it has been recognized as a Leader in the 2025-2026 IDC MarketScape on Low-code & No-code Developer Technologies, IDC’s inaugural report on this new category.

Low-code and no-code platforms are central to IT strategy, with 80% of IT organizations now using no-code and low-code app development tools. And with companies adopting agentic AI, these tools have become even more critical as 78% of developers say that they help scale AI development.

The report recognized Salesforce for strengths in the enterprise agent development ecosystem; low-code and pro-code tools for agent development; scalability, enterprise integration, and Agentforce API; and collaboration and observability across teams.

Read more.

Salesforce Heroku Named a Leader in 2025 Gartner Magic Quadrant for Cloud Application Platforms

Salesforce Heroku has been recognized as a Leader in the 2025 Gartner Magic Quadrant for Cloud-Native Application Platforms.

“We are honored to be recognized again as a Leader in the Gartner Magic Quadrant for Cloud-Native Application Platforms. Heroku makes it easier for businesses to bring their ideas to life through software by removing friction and complexity in their process, and increasing both their creativity and productivity," said Betty Junod, CMO and SVP, Heroku at Salesforce. 

Over two-thirds of development teams lack the resources to build and deploy new classes of applications effectively, forcing them to choose between speed and quality — or abandon AI initiatives altogether.

Heroku AI PaaS eliminates this tradeoff. The comprehensive Cloud-Native Application Platform transforms AI development from a complex engineering challenge into a streamlined workflow, giving businesses simple access to enterprise-grade AI capabilities while automating security and operational best practices. The result: faster time-to-market, reduced risk, and lower total cost of ownership.

Read more.

More Insights

Zero Copy is the AI Data Foundation for Trust 

At a recent media roundtable, leaders from Salesforce, IBM, and Snowflake discussed how Zero Copy is dismantling data silos to fuel AI and real-time business applications. 

As enterprises race to adopt AI, they're encountering significant roadblocks, including fragmented data and slow integration. The panel discussion revealed how industry leaders are converging on Zero Copy architectures and open standards to deliver immediate, contextual, and governed data to AI.

The industry is moving towards a future where data platforms prioritize openness, interoperability, and integrated governance as core tenets. Experts expect continued advancements in open data formats (like Iceberg), shared metadata catalogs (like Polaris), and cross-platform policy enforcement to support the escalating demands of agent-to-agent communication and truly autonomous business processes.

Read more.

From Chatbot to Concierge: AI Agents Boost Customer Connection in Retail's Digital Age

When an online shopper searches a retail site for red basketball shoes, today’s systems respond with a product list. Autonomous AI agents can take that interaction further — asking follow-up questions just like an in-store associate might: "Do you prefer Nike or Adidas? What's your budget? Are these for indoor or outdoor courts?"

Retailers are evolving from transactional chatbots to autonomous AI agents that offer concierge-level service. Powered by LLMs, these agents provide personalized experiences by asking follow-up questions, understanding context, and delivering sophisticated recommendations at scale. 

Salesforce's Agentforce enables rapid deployment of these AI agents, helping retailers like Saks and Shoe Carnival enhance brand connections. This shift moves beyond traditional chatbot limitations to create a more human digital experience.

Read more.

Agentforce in Action: Customer Success Stories

Businesses across various industries are leveraging Agentforce to improve customer experiences, achieve cost efficiencies, and deliver measurable ROI.

Companies like Saks and Fisher & Paykel are using AI agents to provide luxury, high-touch customer service at scale.

Saks is committed to delivering high-touch luxury experiences, and Agentforce is key to this vision. By managing routine inquiries such as order status and returns, Agentforce will allow customer service agents to focus on personalized service and strengthening customer relationships.

Fisher & Paykel empowers customers to self-serve appliance support with Agentforce. Grounded on thousands of existing knowledge articles, Agentforce delivers product insights and clear, actionable guidance from their service page. By increasing self-service rates from 40% to 70%, Fisher & Paykel will reduce service costs and enhance customer satisfaction.

In the manufacturing sector, Kawasaki Motors is improving team productivity, customer satisfaction, and AI effectiveness.

Goodyear expects utilization of Agentforce to unlock significant value by using agents to drive more frequent engagement and targeted offers.

Read more.

Salesforce in the Media

Salesforce, IBM, and Snowflake Champion Zero-Copy Architecture for Enterprise AI | diginomica

An industry roundtable featuring technical leaders from IBM, Snowflake, and Salesforce highlighted how zero copy architecture is emerging as a critical enabler for enterprise AI transformation. 

Narinder Singh, VP of Product Management at Salesforce, highlighted how zero copy preserves data ownership and control.

“With zero copy, the benefits come with respect to the data ownership and control and managing the lifecycle of the data, and having always access to the latest data,” said Singh.

Where Human Labor Meets ‘Digital Labor’ | New York Times

With the rise of agentic AI tools that can operate without explicit instructions, tech enthusiasts have started promoting the idea of a work force made up of human laborers working alongside AI tools that serve as “digital laborers.” 

According to Salesforce CEO Marc Benioff, “digital labor is computers doing the work traditionally done by human beings,” noting that while AI can perform a wide range of tasks, human guardrails are still essential since AI models are "inherently not accurate."