{"id":40052,"date":"2024-09-11T19:59:27","date_gmt":"2024-09-12T02:59:27","guid":{"rendered":"https:\/\/salesforcedevops.net\/?p=40052"},"modified":"2024-09-12T08:01:18","modified_gmt":"2024-09-12T15:01:18","slug":"grax-positions-itself-for-the-overlay-ai-revolution","status":"publish","type":"post","link":"https:\/\/salesforcedevops.net\/index.php\/2024\/09\/11\/grax-positions-itself-for-the-overlay-ai-revolution\/","title":{"rendered":"GRAX Positions Itself For The Overlay AI Revolution"},"content":{"rendered":"\n<p class=\"has-drop-cap wp-block-paragraph\"><a href=\"https:\/\/www.grax.com\/\">GRAX<\/a>, a Salesforce ISV based in Boston, <a href=\"https:\/\/www.prnewswire.com\/news-releases\/grax-one-click-data-lakehouse-and-native-reporting-deliver-easy-fast-salesforce-insights-in-ai-and-everywhere-302242318.html\">announced<\/a> earlier this week the launch of its enhanced Data Lakehouse solution. This positions the company as a pivotal player in the emerging Overlay AI ecosystem for Salesforce customers. This move comes as enterprises increasingly seek flexible, cost-effective alternatives to embedded AI solutions offered by major vendors.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In an exclusive interview with <em>SalesforceDevops.net<\/em>, Joe Gaska, CEO of GRAX, emphasized the company\u2019s unique approach: \u201cWe\u2019re not just offering a backup solution. We\u2019re providing enterprises with a comprehensive historical record of their Salesforce data, stored in their own cloud environment. This \u2018time machine of digital twins\u2019 opens unprecedented possibilities for AI and analytics, all while giving customers full control over their data.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-what-is-grax\">What is GRAX?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">At its core, GRAX is a data management and protection platform designed specifically for Salesforce users. The company\u2019s primary service involves continuously replicating Salesforce data into the customer\u2019s preferred cloud environment, whether that\u2019s AWS, Microsoft Azure, or Google Cloud Platform.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">GRAX\u2019s offering centers around two key components: the Data Lake and the Data Lakehouse. The Data Lake serves as a repository for all historical Salesforce data, capturing every version and change over time. This comprehensive data collection provides a rich foundation for analytics and AI applications.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Building on top of the Data Lake, the GRAX Data Lakehouse offers a more structured and query-optimized environment. With one-click deployment, customers can quickly set up a lakehouse that streamlines data access for various analytics tools and AI platforms. This setup allows for rapid insights generation and seamless integration with a wide range of business intelligence and machine learning solutions.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-leveraging-overlay-ai\">Leveraging Overlay AI<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">GRAX&#8217;s approach aligns closely with the growing trend of Overlay AI in enterprise software. Unlike Embedded AI, which integrates AI capabilities directly into existing platforms, Overlay AI involves deploying AI solutions on top of existing systems, treating them as interchangeable data sources.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">By providing easy access to comprehensive Salesforce data in a customer-controlled cloud environment, GRAX enables enterprises to adopt a more flexible, best-of-breed approach to AI. Instead of being locked into Salesforce\u2019s Einstein offerings, companies can leverage their preferred AI tools and platforms, applying them to their Salesforce data without the constraints of embedded solutions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">GRAX\u2019s position in the AI Integration and Automation layer of the emerging Overlay AI stack is particularly noteworthy. By offering inexpensive production of raw data from Salesforce, GRAX allows enterprises to feed this data into various AI models and automation workflows, potentially at a fraction of the cost of embedded AI solutions that can run upwards of $30 to $100 per user per month.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-salesforce-s-embedded-ai-future\">Salesforce\u2019s Embedded AI Future<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">As GRAX and other players in the Overlay AI space continue to gain traction, Salesforce is expected to unveil an even more elaborate embedded AI strategy soon. Industry insiders suggest that a rebranding of the Einstein 1 Platform to Agentforce may be on the horizon, signaling a deeper commitment to AI-driven automation and insights.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">With this potential rebrand, Salesforce is likely to introduce additional incentives for customers to entrust their AI operations to the platform. These could include tighter integrations across the Salesforce ecosystem, enhanced security features, and possibly more competitive pricing models.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">However, as enterprise architects increasingly lean towards assembling best-of-breed AI solutions, companies like GRAX are well-positioned to offer a compelling alternative. By providing flexible data management solutions that enable customers to leverage the full potential of their Salesforce data while maintaining control and optionality, GRAX and its peers in the Overlay AI space are poised to play a crucial role in shaping the future of enterprise AI.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>GRAX, a Salesforce ISV based in Boston, announced earlier this week the launch of its enhanced Data Lakehouse solution. This positions the company as a pivotal player in the emerging&hellip;<\/p>\n","protected":false},"author":1,"featured_media":40054,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","footnotes":""},"categories":[4],"tags":[1787,1788,1789,1786,1785],"post_series":[],"class_list":["post-40052","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry-news","tag-ai-for-analytics","tag-data-lakehouse","tag-enterprise-ai-solutions","tag-overlay-ai","tag-salesforce-data-management","entry","has-media"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.1 (Yoast SEO v28.4) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>GRAX Positions Itself For The Overlay AI Revolution - SalesforceDevops.net<\/title>\n<meta name=\"description\" content=\"GRAX leverages Overlay AI to revolutionize Salesforce data management with flexible, cost-effective AI and analytics solutions.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/salesforcedevops.net\/index.php\/2024\/09\/11\/grax-positions-itself-for-the-overlay-ai-revolution\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"GRAX Positions Itself For The Overlay AI Revolution - 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He earned his B.Sc. in Biomedical Engineering at Northwestern University where he programmed a PDP-8 with punched paper tape. In his 34-year-long career he has been a teacher, SPSS programmer, database administrator, clinical researcher, technology journalist, product marketing manager, market researcher, management consultant, and industry analyst. Most recently he is a telecom operator, cloud architect, Go devops engineer and Salesforce Developer\/Architect. 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This positions the company as a pivotal player in the emerging&hellip;","_links":{"self":[{"href":"https:\/\/salesforcedevops.net\/index.php\/wp-json\/wp\/v2\/posts\/40052","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/salesforcedevops.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/salesforcedevops.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/salesforcedevops.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/salesforcedevops.net\/index.php\/wp-json\/wp\/v2\/comments?post=40052"}],"version-history":[{"count":2,"href":"https:\/\/salesforcedevops.net\/index.php\/wp-json\/wp\/v2\/posts\/40052\/revisions"}],"predecessor-version":[{"id":40055,"href":"https:\/\/salesforcedevops.net\/index.php\/wp-json\/wp\/v2\/posts\/40052\/revisions\/40055"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/salesforcedevops.net\/index.php\/wp-json\/wp\/v2\/media\/40054"}],"wp:attachment":[{"href":"https:\/\/salesforcedevops.net\/index.php\/wp-json\/wp\/v2\/media?parent=40052"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/salesforcedevops.net\/index.php\/wp-json\/wp\/v2\/categories?post=40052"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/salesforcedevops.net\/index.php\/wp-json\/wp\/v2\/tags?post=40052"},{"taxonomy":"post_series","embeddable":true,"href":"https:\/\/salesforcedevops.net\/index.php\/wp-json\/wp\/v2\/post_series?post=40052"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}