{"id":10628,"date":"2025-12-09T18:39:32","date_gmt":"2025-12-10T00:39:32","guid":{"rendered":"https:\/\/attentionmedia.io\/?p=10628"},"modified":"2025-12-09T18:39:32","modified_gmt":"2025-12-10T00:39:32","slug":"new-salesforce-engine-aims-to-make-enterprise-ai-trustworthy","status":"publish","type":"post","link":"https:\/\/attentionmedia.io\/?p=10628","title":{"rendered":"New Salesforce engine aims to make enterprise AI trustworthy"},"content":{"rendered":"
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Salesforce today announced a significant update to its foundational data platform, unveiling a unified data engine that brings together Data 360, Informatica, and MuleSoft. The goal? To give enterprise AI systems the trusted context they need to stop hallucinating and start reasoning \u2014 a shift with significant implications for marketers.<\/p>\n

AI hallucinations are a significant barrier to enterprise use of AI. According to Salesforce, over 80% of enterprise AI projects never make it past the demo stage because the systems aren\u2019t grounded in the company\u2019s data, definitions and processes. Without that context, agents misinterpret signals like \u201ccustomer ID,\u201d \u201corder status\u201d or \u201creturn request,\u201d leading to flawed insights or incorrect actions.<\/p>\n

Dig deeper: 5 ways AI changed marketing strategy in just one year<\/a><\/em><\/strong><\/p>\n

\u201cAI without context is just guessing, or hallucinating,\u201d said Rahul Auradkar, Salesforce\u2019s EVP and GM, Data 360. \u201cBy combining Informatica\u2019s metadata with MuleSoft\u2019s real-time signals, we replace guessing with reasoning. We are giving AI the grounding it needs to operate safely \u2014 ensuring that when an agent acts, it does so with the full weight of enterprise truth behind it.\u201d<\/p>\n

Building context across three layers<\/h2>\n

Salesforce\u2019s new unified data engine is built on three pillars:<\/p>\n

1. Enterprise understanding through metadata<\/strong>: Data 360 now includes Informatica\u2019s master data management (MDM) capabilities, covering entities like products, suppliers and assets. That gives agents a shared vocabulary and understanding, so when an AI model sees \u201cSKU-123,\u201d it knows it\u2019s the same as \u201cPart A\u201d in another system. The integration also includes data lineage features, letting AI verify the freshness and trustworthiness of data. All that, when combined with a comprehensive data catalog that spans on-prem, cloud and legacy systems, provides a deep map of the organization\u2019s data landscape.<\/p>\n

2. Real-time awareness via MuleSoft<\/strong>: MuleSoft feeds live operational signals into the system \u2014 everything from shipment delays to inventory changes to customer actions. AI agents can then act on the current state of the business, not yesterday\u2019s snapshot.<\/p>\n

3. Unified context with zero-copy architecture<\/strong>: Data 360 becomes the harmonized memory layer, merging historical context from Informatica and real-time signals from MuleSoft. This context is shared across AI agents using a zero-copy approach, meaning data is accessed but not duplicated, reducing storage costs and latency.<\/p>\n

This new data layer is the foundation for Salesforce\u2019s broader Agentforce 360 platform \u2014 a four-layer architecture designed to support enterprise-grade AI agents. If everything works as promised, With this AI agents handling workflows such as refunds, order adjustments or personalization can operate with the same clarity as seasoned employees.<\/p>\n

What matters to marketers<\/h2>\n

For marketers, this isn\u2019t just a back-end IT story. Unified, trusted data is the key to making AI agents genuinely useful across campaigns, journeys and customer interactions. With access to real-time status, clean definitions, and verified customer records, marketing agents can recommend content, adjust targeting, and personalize messages without drifting off course.<\/p>\n

Dig deeper: How to stop AI decisions from repeating human biases<\/a><\/em><\/strong><\/p>\n

It also lays the groundwork for more confident and transparent AI governance \u2014 a critical step as compliance requirements tighten and customers demand clarity around how their data is used.<\/p>\n

Salesforce\u2019s new data engine is available today as part of Data 360, Informatica, MuleSoft, and the Agentforce 360 platform. For companies serious about deploying AI at scale, this might be one of the most critical technical updates of the year \u2014 not because it\u2019s trendy, but because it solves the most persistent problem in enterprise AI: lack of context.<\/p>\n

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The post New Salesforce engine aims to make enterprise AI trustworthy<\/a> appeared first on MarTech<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"

Salesforce today announced a significant update to its foundational data platform, unveiling a unified data engine that brings together Data 360, Informatica, and MuleSoft. The goal? To give enterprise AI systems the trusted context they need to stop hallucinating and start reasoning \u2014 a shift with significant implications for marketers. AI hallucinations are a significant … <\/p>\n

Read more “New Salesforce engine aims to make enterprise AI trustworthy”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-10628","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"featured_media_urls":{"thumbnail":["https:\/\/martech.org\/wp-content\/uploads\/2025\/10\/ChatGPT-Image-Oct-13-2025-10_35_51-AM-800x533.png",0,0,false],"medium":["https:\/\/martech.org\/wp-content\/uploads\/2025\/10\/ChatGPT-Image-Oct-13-2025-10_35_51-AM-800x533.png",0,0,false],"medium_large":["https:\/\/martech.org\/wp-content\/uploads\/2025\/10\/ChatGPT-Image-Oct-13-2025-10_35_51-AM-800x533.png",0,0,false],"large":["https:\/\/martech.org\/wp-content\/uploads\/2025\/10\/ChatGPT-Image-Oct-13-2025-10_35_51-AM-800x533.png",0,0,false],"1536x1536":["https:\/\/martech.org\/wp-content\/uploads\/2025\/10\/ChatGPT-Image-Oct-13-2025-10_35_51-AM-800x533.png",0,0,false],"2048x2048":["https:\/\/martech.org\/wp-content\/uploads\/2025\/10\/ChatGPT-Image-Oct-13-2025-10_35_51-AM-800x533.png",0,0,false],"inspiro-featured-image":["https:\/\/martech.org\/wp-content\/uploads\/2025\/10\/ChatGPT-Image-Oct-13-2025-10_35_51-AM-800x533.png",0,0,false],"inspiro-loop":["https:\/\/martech.org\/wp-content\/uploads\/2025\/10\/ChatGPT-Image-Oct-13-2025-10_35_51-AM-800x533.png",0,0,false],"inspiro-loop@2x":["https:\/\/martech.org\/wp-content\/uploads\/2025\/10\/ChatGPT-Image-Oct-13-2025-10_35_51-AM-800x533.png",0,0,false],"portfolio_item-thumbnail":["https:\/\/martech.org\/wp-content\/uploads\/2025\/10\/ChatGPT-Image-Oct-13-2025-10_35_51-AM-800x533.png",0,0,false],"portfolio_item-thumbnail@2x":["https:\/\/martech.org\/wp-content\/uploads\/2025\/10\/ChatGPT-Image-Oct-13-2025-10_35_51-AM-800x533.png",0,0,false],"portfolio_item-masonry":["https:\/\/martech.org\/wp-content\/uploads\/2025\/10\/ChatGPT-Image-Oct-13-2025-10_35_51-AM-800x533.png",0,0,false],"portfolio_item-masonry@2x":["https:\/\/martech.org\/wp-content\/uploads\/2025\/10\/ChatGPT-Image-Oct-13-2025-10_35_51-AM-800x533.png",0,0,false],"portfolio_item-thumbnail_cinema":["https:\/\/martech.org\/wp-content\/uploads\/2025\/10\/ChatGPT-Image-Oct-13-2025-10_35_51-AM-800x533.png",0,0,false],"portfolio_item-thumbnail_portrait":["https:\/\/martech.org\/wp-content\/uploads\/2025\/10\/ChatGPT-Image-Oct-13-2025-10_35_51-AM-800x533.png",0,0,false],"portfolio_item-thumbnail_portrait@2x":["https:\/\/martech.org\/wp-content\/uploads\/2025\/10\/ChatGPT-Image-Oct-13-2025-10_35_51-AM-800x533.png",0,0,false],"portfolio_item-thumbnail_square":["https:\/\/martech.org\/wp-content\/uploads\/2025\/10\/ChatGPT-Image-Oct-13-2025-10_35_51-AM-800x533.png",0,0,false]},"_links":{"self":[{"href":"https:\/\/attentionmedia.io\/index.php?rest_route=\/wp\/v2\/posts\/10628","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/attentionmedia.io\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/attentionmedia.io\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/attentionmedia.io\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/attentionmedia.io\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=10628"}],"version-history":[{"count":0,"href":"https:\/\/attentionmedia.io\/index.php?rest_route=\/wp\/v2\/posts\/10628\/revisions"}],"wp:attachment":[{"href":"https:\/\/attentionmedia.io\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=10628"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/attentionmedia.io\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=10628"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/attentionmedia.io\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=10628"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}