Table of contents<\/h2>- Einstein 1 Keynote<\/a><\/li>
- Metadata Unification<\/a><\/li>
- Einstein Copilot<\/a><\/li>
- Prompt Engineering Evolution<\/a><\/li>
- Data Cloud at the Center<\/a><\/li>
- True To The Core?<\/a><\/li>
- Developer Platform Stagnation<\/a><\/li>
- Ecosystem Companies Thriving<\/a>
- Copado<\/a><\/li>
- Provar<\/a><\/li>
- AutoRABIT<\/a><\/li>
- Opsera<\/a><\/li>
- Salto<\/a><\/li>
- Metazoa<\/a><\/li>
- iDialogue<\/a><\/li>
- GPTfy<\/a><\/li><\/ul><\/li>
- Community Projects Fill the Gap<\/a><\/li>
- Devops and AI in Salesforce<\/a><\/li>
- Salesforce Leads Enterprise AI For Now<\/a><\/li><\/ul><\/div>\n\n\n\n
Einstein 1 Keynote<\/h2>\n\n\n\n
I arrived at Moscone Center on a bright and sunny San Francisco morning. I got there early to get my badge and go to the press center. In the keynote room I noted there were a lot more press here than in 2022; perhaps triple the number of foreign and national press and analysts.<\/p>\n\n\n\n
The AI announcements at Dreamforce mainly centered around a rebranding effort to put all AI efforts under the Einstein 1 brand<\/a>. Salesforce reiterated its industry-leading position that its existing data architectures combined with an innovative Einstein Safety Layer helps Salesforce customers deploy trustworthy AI in their workplace.<\/p>\n\n\n\n![\"\"](\"https:\/\/origin.salesforcedevops.net\/wp-content\/uploads\/2023\/09\/Screenshot-2023-09-11-080620-1024x512.png\")
<\/a><\/figure>\n\n\n\nSalesforce removed the GPT labeling from its new products and now has generative AI a key architectural feature, like Flow. With this move Salesforce is on its way to infusing AI throughout its product line. \u201cIf this trend continues, the entire ecosystem will be turned upside down with new AI infused methods for executing business processes,\u201d said Mark Good, founder of AIForce Training<\/a> and producer of GPT Dreamin\u2019<\/a>.<\/p>\n\n\n\n![\"\"](\"https:\/\/origin.salesforcedevops.net\/wp-content\/uploads\/2023\/09\/Screenshot-2023-09-11-081207-1024x568.png\")
<\/a><\/figure>\n\n\n\nBut there was also a familiar sense that the keynote pitch lacked substance. \u201cSalesforce’s commitment and focus on AI was in every keynote and every session,\u201d said Ian Gotts, CEO of Salesforce ecosystem vendor Elements.cloud<\/a>. \u201cAnd whilst there were compelling demos and GA dates announced, some of the details are still being worked out.\u201d<\/p>\n\n\n\nMetadata Unification<\/h2>\n\n\n\n
I did see glimmers of hope that some long-standing complaints, like lack of integration in the various clouds, were being addressed. Throughout the keynote and in other high-level sessions, metadata took center stage. This is because one needs a high degree of metadata definition, access, and implementation in a data set to make it useful to AI. This is one of the reasons why Salesforce currently has a leg up on the competition when it comes to integrating user data into AI.<\/p>\n\n\n\n![\"\"](\"https:\/\/origin.salesforcedevops.net\/wp-content\/uploads\/2023\/09\/Screenshot-2023-09-11-080751-1024x509.png\")
<\/a><\/figure>\n\n\n\nReinforcing the need for good metadata management throughout the Salesforce clouds, the company announced that the same Force.com metadata management model will be applied to Commerce and Marketing clouds. Exact details are still murky, but reports indicate that Salesforce is working hard on metadata capabilities because of AI requirements. \u201cThe clear message is that AI is coming, and you need to get ready,\u201d added Gotts.<\/p>\n\n\n\n
Einstein Copilot<\/h2>\n\n\n\n
In an ambitious announcement, Salesforce showed demos of Einstein Copilot. This is a conversational AI assistant that will be grounded in Salesforce knowledge as well as data from the user\u2019s org. The demonstration showed a Salesforce user interacting with Service Cloud application where any information in the Customer 360 view could be related.<\/p>\n\n\n\n![\"\"](\"https:\/\/origin.salesforcedevops.net\/wp-content\/uploads\/2023\/09\/Screenshot-2023-09-11-082151-1024x580.png\")
<\/a><\/figure>\n\n\n\nThe demonstration also showed interactions with Einstein Skills, where a Flow, API, or web action could be initiated by Einstein Copilot. This showed glimmers of invoking an autonomous agent with a conversational interface.<\/p>\n\n\n\n
While impressive and an obvious next-step capability, I am skeptical of a conversational agent, or Executive Thinking Partner (ETP), being safely deployed soon. This is because brand risk and other safety measures have yet to be fully worked out in ETPs.<\/p>\n\n\n\n
Prompt Engineering Evolution<\/h2>\n\n\n\n
Salesforce continues to evolve its use of prompts and other user-authored elements in its AI system architecture. Now all authoring efforts are unified under the Einstein Copilot Studio. Here you get Prompt Builder, Skills Builder, and Model Builder. The company announced some incremental improvements to Prompt Builder, such as versioning.<\/p>\n\n\n\n![\"\"](\"https:\/\/origin.salesforcedevops.net\/wp-content\/uploads\/2023\/09\/Screenshot-2023-09-11-082235-1024x547.png\")
<\/a><\/figure>\n\n\n\nSkills Builder may be used to create workflows which execute actions, including executing other tasks or invoking external APIs. Model Builder is part of Salesforce\u2019s efforts to let customers \u201cbring their own model\u201d, or BYOM. This allows customers with existing machine learning or LLM building efforts to add them to the Salesforce AI architecture.<\/p>\n\n\n\n
Data Cloud at the Center<\/h2>\n\n\n\n
In nearly every presentation, Data Cloud is mentioned as a unifying aspect of Salesforce\u2019s AI strategy. It is offered as a connectivity platform as well as a data lake solution.<\/p>\n\n\n\n![\"\"](\"https:\/\/origin.salesforcedevops.net\/wp-content\/uploads\/2023\/09\/Screenshot-2023-09-11-080830-1024x539.png\")
<\/a><\/figure>\n\n\n\nTo make Data Cloud and Tableau more available to developers and users, Salesforce announced that all existing Enterprise and Ultimate licensees now have access to trail editions of Data Cloud and Tableau. The offer includes up to 10,000 profiles and two Tableau Creator licenses.<\/p>\n\n\n\n
It should be noted that Data Cloud is technically not required for some Salesforce generative AI solutions. It certainly is not required in 3rd<\/sup> party solutions. There seems to be a disconnect when messaging that you need Data Cloud to use AI, which ultimately is not needed by most Salesforce customers.<\/p>\n\n\n\n\u201cData Cloud\u2018s role as a necessity to feed the prompts the amount of data needed confused the message further,\u201d said Chris Pearson, Salesforce Engineering Director at Jostens. \u201cWhile the interface is point and click, the ETL work requires a data engineering background, as mentioned in Salesforce\u2019s own documentation.\u201d<\/p>\n\n\n\n
True To The Core?<\/h2>\n\n\n\n
At every Dreamforce and TrailblazerDX there is a \u201cTrue To The Core\u201d session hosted by Parker Harris, Salesforce co-founder and CTO. This is where customers and partners get to line up and put hard public questions to Salesforce product people.<\/p>\n\n\n\n
\u201cWhile AI might have been the focus for Dreamforce, True To The Core showed there is still a lot of work to go on the core platform,\u201d said Andrew Russo, Enterprise Architect at BACA Systems. \u201cIf Salesforce does not remain true to their core values and roots, then it will be tough for admins and developers to deliver on the promise of AI to their companies,\u201d added Russo.<\/p>\n\n\n\n
Other key industry figures, such as Max Rudman, CEO of Salesforce ecosystem vendor Prodly, and formerly a Salesforce senior executive, agree. \u201cI feel like we are at or near \u2018Peak of inflated expectations\u2019 with AI. Everybody and their mother have announced AI-enabled this and AI-powered that,\u201d said Rudman. \u201cWhile I am certainly excited about the long-term potential of the technology, I prefer to focus on solving the problems with business software that move to the cloud has not fully solved \u2014 the overhead of maintenance.\u201d<\/p>\n\n\n\n
Developer Platform Stagnation<\/h2>\n\n\n\n
Salesforce developers have long been crippled by a lack of a cohesive approach to creating, deploying, testing, and maintaining Salesforce applications. If we just narrow our attention to the \u201ccore\u201d Sales and Service clouds, major issues still abound in developer tooling. There are undone projects and lack of attention to details in developer tooling in every major Salesforce cloud.<\/p>\n\n\n\n
Not only that, but major shifts in platform direction, like Flows, often complicates release management. And these new tools are introduced without consideration of the software developer lifecycle (SDLC). This is due to lack of adequate forethought on deployment implications. Unfortunately, it looks like the same thing may be happening with Prompts and Skills.<\/p>\n\n\n\n
Plus, there are dramatic shifts in basic tooling that leave developers in the dust. This includes having three versions of the SF command line tool.<\/p>\n\n\n\n
And I\u2019m sad to say that recent efforts like Salesforce DevOps Center have only served to create a golden path that only works for a small percentage of Salesforce orgs. Aside from DevOps Center and the CLI, there has been no contribution by the Salesforce platform teams to the developer SDLC in years. And based on Salesforce executive conversations and interviews, I don\u2019t believe that the company will move to invest more in platform development tools. In my opinion, Salesforce has ceded the developer and devops tool market to vendors and community members.<\/p>\n\n\n\n
Ecosystem Companies Thriving<\/h2>\n\n\n\n
Salesforce ceding the developer tooling market to vendors and community members is not news to Salesforce devops vendors. I found most vendors I track, including Gearset, Copado, Opsera, Provar, Prodly, Salto, Elements.cloud, OwnBackup, ACCELQ, CodeScan, AutoRABIT, Flosum, Odaseva, to have a strong presence at the show.<\/p>\n\n\n\n
Copado<\/h3>\n\n\n\n
Copado<\/a> made a big announcement<\/a> at Dreamforce about Copado 1, it\u2019s new unification of their Salesforce devops platform.<\/p>\n\n\n\n\u201cThis was our most successful Dreamforce yet. The Salesforce DevOps and testing market is as vibrant as ever and it is gratifying to hear directly from our customers how our Salesforce-native Copado 1 DevOps platform is making release days obsolete,\u201d said David Dahlberg, Chief Marketing Officer at Copado.<\/p>\n\n\n\n
Provar<\/h3>\n\n\n\n
Salesforce testing leader Provar<\/a> was pleased with this year\u2019s Dreamforce. \u201cDreamforce ’23 was a huge success for many companies in the Salesforce ecosystem,\u201d said Richard Clark, Chief Stratgegy Officer at Provar. \u201cWe saw new product announcements, Salesforce giving away freemium access to Data Cloud, and a myriad of new features for developers, admins, and users alike. At Provar we announced Infinity as our new product offering which provides an integrated hybrid cloud suite designed to manage testing throughout the application lifecycle,\u201d added Clark.<\/p>\n\n\n\nAutoRABIT<\/h3>\n\n\n\n
Another leading devops platform vendor, AutoRABIT<\/a> announced FlowCenter, which unifies their AutoRABIT Release Management (ARM), Vault backup solution, and CodeScan cybersecurity solution under on roof.<\/p>\n\n\n\n\u201cFlowCenter provides actionable intelligence, as well as simple drag and drop functionality for managers and developers to really understand what’s working, what’s not,\u201d said Christopher Stern, VP of Product Marketing for AutoRABIT.<\/p>\n\n\n\n
Opsera<\/h3>\n\n\n\n
One Salesforce devops vendor who has a solution for other SaaS platforms, Opsera<\/a>, found greater awareness of its products at this Dreamforce.<\/p>\n\n\n\n\u201cOpsera had a good Dreamforce 2023. We had a significant increase in the number of interactions where prospective customers already knew who Opsera was,\u201d said Kumar Chivukula, CEO of Opsera. \u201cThis year we had much more meaningful interactions with prospective customers. Our session with Infoblox was well attended, and we showed off our DevOps 3.0 initiative,\u201d added Chivukula.<\/p>\n\n\n\n
Salto<\/h3>\n\n\n\n
Another devops vendor who offers SaaS devops solutions, Salto, also has a good show and debuted a popular new plushie, named Knuckles. Pablo Gonzolez, a Salesforce Architect at Salto, said \u201cI spoke to a lot of people about devops and realized a lot of people have issues dealing with configuration data apps like CPQ, Field Service, Conga, etc. It was great to learn that our \u2018data as metadata\u2019 approach resonated well and created a ton of excitement for many individuals.\u201d<\/p>\n\n\n\n![\"\"](\"https:\/\/origin.salesforcedevops.net\/wp-content\/uploads\/2023\/09\/20230913_161710-850x1024.jpg\")
<\/a><\/figure>\n\n\n\nSalto announced a new series of free educational programs called Salto Leap<\/a>. This series of five free educational programs is authored by community favorite Mr. Gonzolez.<\/p>\n\n\n\nMetazoa<\/h3>\n\n\n\n
One Salesforce ecosystem tool vendor, Metazoa, found a receptive audience off the show floor. The company showed off its currently-shipping tool Snapshot, which adds several generative AI features. These help admins research existing metadata configurations and generate administrative recipes for removing technical debt from existing orgs. And new features seem to be coming all the time.<\/p>\n\n\n\n
\u201cI think our AI solution really resonates with people,\u201d said Bill Appleton, CTO of Metazoa. \u201cThey\u2019re able to see how we’re turning AI into a practical and reliable assistant that can deliver benefits for org management,\u201d added Appleton.<\/p>\n\n\n\n
iDialogue<\/h3>\n\n\n\n
One vendor, Salesforce ecosystem vendor with more of an operational focus, iDialogue, was able to find traction for their AI-infused products as a show attendee.<\/p>\n\n\n\n
\u201cWith Salesforce doubling down on their Data Cloud and enterprise AI strategy, we\u2019re very optimistic about the SMB opportunity,\u201d said Michael Leach, CEO of iDialogue<\/a>. and providing a turn-key AI solution that will extend existing Salesforce investments with minimal implementation costs.<\/p>\n\n\n\nGPTfy<\/h3>\n\n\n\n
Another vendor with an opertational focus also found Dreamforce to be a profitable visit. GPTfy<\/a> is offers a prompt engineering platform solution which is targeted towards automating everyday tasks.<\/p>\n\n\n\n
- Copado<\/a><\/li>
- Provar<\/a><\/li>
- AutoRABIT<\/a><\/li>
- Opsera<\/a><\/li>
- Salto<\/a><\/li>
- Metazoa<\/a><\/li>
- iDialogue<\/a><\/li>
- GPTfy<\/a><\/li><\/ul><\/li>
- Community Projects Fill the Gap<\/a><\/li>
- Devops and AI in Salesforce<\/a><\/li>
- Salesforce Leads Enterprise AI For Now<\/a><\/li><\/ul><\/div>\n\n\n\n
Einstein 1 Keynote<\/h2>\n\n\n\n
I arrived at Moscone Center on a bright and sunny San Francisco morning. I got there early to get my badge and go to the press center. In the keynote room I noted there were a lot more press here than in 2022; perhaps triple the number of foreign and national press and analysts.<\/p>\n\n\n\n
The AI announcements at Dreamforce mainly centered around a rebranding effort to put all AI efforts under the Einstein 1 brand<\/a>. Salesforce reiterated its industry-leading position that its existing data architectures combined with an innovative Einstein Safety Layer helps Salesforce customers deploy trustworthy AI in their workplace.<\/p>\n\n\n\n
<\/a><\/figure>\n\n\n\nSalesforce removed the GPT labeling from its new products and now has generative AI a key architectural feature, like Flow. With this move Salesforce is on its way to infusing AI throughout its product line. \u201cIf this trend continues, the entire ecosystem will be turned upside down with new AI infused methods for executing business processes,\u201d said Mark Good, founder of AIForce Training<\/a> and producer of GPT Dreamin\u2019<\/a>.<\/p>\n\n\n\n
<\/a><\/figure>\n\n\n\nBut there was also a familiar sense that the keynote pitch lacked substance. \u201cSalesforce’s commitment and focus on AI was in every keynote and every session,\u201d said Ian Gotts, CEO of Salesforce ecosystem vendor Elements.cloud<\/a>. \u201cAnd whilst there were compelling demos and GA dates announced, some of the details are still being worked out.\u201d<\/p>\n\n\n\n
Metadata Unification<\/h2>\n\n\n\n
I did see glimmers of hope that some long-standing complaints, like lack of integration in the various clouds, were being addressed. Throughout the keynote and in other high-level sessions, metadata took center stage. This is because one needs a high degree of metadata definition, access, and implementation in a data set to make it useful to AI. This is one of the reasons why Salesforce currently has a leg up on the competition when it comes to integrating user data into AI.<\/p>\n\n\n\n
<\/a><\/figure>\n\n\n\nReinforcing the need for good metadata management throughout the Salesforce clouds, the company announced that the same Force.com metadata management model will be applied to Commerce and Marketing clouds. Exact details are still murky, but reports indicate that Salesforce is working hard on metadata capabilities because of AI requirements. \u201cThe clear message is that AI is coming, and you need to get ready,\u201d added Gotts.<\/p>\n\n\n\n
Einstein Copilot<\/h2>\n\n\n\n
In an ambitious announcement, Salesforce showed demos of Einstein Copilot. This is a conversational AI assistant that will be grounded in Salesforce knowledge as well as data from the user\u2019s org. The demonstration showed a Salesforce user interacting with Service Cloud application where any information in the Customer 360 view could be related.<\/p>\n\n\n\n
<\/a><\/figure>\n\n\n\nThe demonstration also showed interactions with Einstein Skills, where a Flow, API, or web action could be initiated by Einstein Copilot. This showed glimmers of invoking an autonomous agent with a conversational interface.<\/p>\n\n\n\n
While impressive and an obvious next-step capability, I am skeptical of a conversational agent, or Executive Thinking Partner (ETP), being safely deployed soon. This is because brand risk and other safety measures have yet to be fully worked out in ETPs.<\/p>\n\n\n\n
Prompt Engineering Evolution<\/h2>\n\n\n\n
Salesforce continues to evolve its use of prompts and other user-authored elements in its AI system architecture. Now all authoring efforts are unified under the Einstein Copilot Studio. Here you get Prompt Builder, Skills Builder, and Model Builder. The company announced some incremental improvements to Prompt Builder, such as versioning.<\/p>\n\n\n\n
<\/a><\/figure>\n\n\n\nSkills Builder may be used to create workflows which execute actions, including executing other tasks or invoking external APIs. Model Builder is part of Salesforce\u2019s efforts to let customers \u201cbring their own model\u201d, or BYOM. This allows customers with existing machine learning or LLM building efforts to add them to the Salesforce AI architecture.<\/p>\n\n\n\n
Data Cloud at the Center<\/h2>\n\n\n\n
In nearly every presentation, Data Cloud is mentioned as a unifying aspect of Salesforce\u2019s AI strategy. It is offered as a connectivity platform as well as a data lake solution.<\/p>\n\n\n\n
<\/a><\/figure>\n\n\n\nTo make Data Cloud and Tableau more available to developers and users, Salesforce announced that all existing Enterprise and Ultimate licensees now have access to trail editions of Data Cloud and Tableau. The offer includes up to 10,000 profiles and two Tableau Creator licenses.<\/p>\n\n\n\n
It should be noted that Data Cloud is technically not required for some Salesforce generative AI solutions. It certainly is not required in 3rd<\/sup> party solutions. There seems to be a disconnect when messaging that you need Data Cloud to use AI, which ultimately is not needed by most Salesforce customers.<\/p>\n\n\n\n
\u201cData Cloud\u2018s role as a necessity to feed the prompts the amount of data needed confused the message further,\u201d said Chris Pearson, Salesforce Engineering Director at Jostens. \u201cWhile the interface is point and click, the ETL work requires a data engineering background, as mentioned in Salesforce\u2019s own documentation.\u201d<\/p>\n\n\n\n
True To The Core?<\/h2>\n\n\n\n
At every Dreamforce and TrailblazerDX there is a \u201cTrue To The Core\u201d session hosted by Parker Harris, Salesforce co-founder and CTO. This is where customers and partners get to line up and put hard public questions to Salesforce product people.<\/p>\n\n\n\n
\u201cWhile AI might have been the focus for Dreamforce, True To The Core showed there is still a lot of work to go on the core platform,\u201d said Andrew Russo, Enterprise Architect at BACA Systems. \u201cIf Salesforce does not remain true to their core values and roots, then it will be tough for admins and developers to deliver on the promise of AI to their companies,\u201d added Russo.<\/p>\n\n\n\n
Other key industry figures, such as Max Rudman, CEO of Salesforce ecosystem vendor Prodly, and formerly a Salesforce senior executive, agree. \u201cI feel like we are at or near \u2018Peak of inflated expectations\u2019 with AI. Everybody and their mother have announced AI-enabled this and AI-powered that,\u201d said Rudman. \u201cWhile I am certainly excited about the long-term potential of the technology, I prefer to focus on solving the problems with business software that move to the cloud has not fully solved \u2014 the overhead of maintenance.\u201d<\/p>\n\n\n\n
Developer Platform Stagnation<\/h2>\n\n\n\n
Salesforce developers have long been crippled by a lack of a cohesive approach to creating, deploying, testing, and maintaining Salesforce applications. If we just narrow our attention to the \u201ccore\u201d Sales and Service clouds, major issues still abound in developer tooling. There are undone projects and lack of attention to details in developer tooling in every major Salesforce cloud.<\/p>\n\n\n\n
Not only that, but major shifts in platform direction, like Flows, often complicates release management. And these new tools are introduced without consideration of the software developer lifecycle (SDLC). This is due to lack of adequate forethought on deployment implications. Unfortunately, it looks like the same thing may be happening with Prompts and Skills.<\/p>\n\n\n\n
Plus, there are dramatic shifts in basic tooling that leave developers in the dust. This includes having three versions of the SF command line tool.<\/p>\n\n\n\n
And I\u2019m sad to say that recent efforts like Salesforce DevOps Center have only served to create a golden path that only works for a small percentage of Salesforce orgs. Aside from DevOps Center and the CLI, there has been no contribution by the Salesforce platform teams to the developer SDLC in years. And based on Salesforce executive conversations and interviews, I don\u2019t believe that the company will move to invest more in platform development tools. In my opinion, Salesforce has ceded the developer and devops tool market to vendors and community members.<\/p>\n\n\n\n
Ecosystem Companies Thriving<\/h2>\n\n\n\n
Salesforce ceding the developer tooling market to vendors and community members is not news to Salesforce devops vendors. I found most vendors I track, including Gearset, Copado, Opsera, Provar, Prodly, Salto, Elements.cloud, OwnBackup, ACCELQ, CodeScan, AutoRABIT, Flosum, Odaseva, to have a strong presence at the show.<\/p>\n\n\n\n
Copado<\/h3>\n\n\n\n
Copado<\/a> made a big announcement<\/a> at Dreamforce about Copado 1, it\u2019s new unification of their Salesforce devops platform.<\/p>\n\n\n\n
\u201cThis was our most successful Dreamforce yet. The Salesforce DevOps and testing market is as vibrant as ever and it is gratifying to hear directly from our customers how our Salesforce-native Copado 1 DevOps platform is making release days obsolete,\u201d said David Dahlberg, Chief Marketing Officer at Copado.<\/p>\n\n\n\n
Provar<\/h3>\n\n\n\n
Salesforce testing leader Provar<\/a> was pleased with this year\u2019s Dreamforce. \u201cDreamforce ’23 was a huge success for many companies in the Salesforce ecosystem,\u201d said Richard Clark, Chief Stratgegy Officer at Provar. \u201cWe saw new product announcements, Salesforce giving away freemium access to Data Cloud, and a myriad of new features for developers, admins, and users alike. At Provar we announced Infinity as our new product offering which provides an integrated hybrid cloud suite designed to manage testing throughout the application lifecycle,\u201d added Clark.<\/p>\n\n\n\n
AutoRABIT<\/h3>\n\n\n\n
Another leading devops platform vendor, AutoRABIT<\/a> announced FlowCenter, which unifies their AutoRABIT Release Management (ARM), Vault backup solution, and CodeScan cybersecurity solution under on roof.<\/p>\n\n\n\n
\u201cFlowCenter provides actionable intelligence, as well as simple drag and drop functionality for managers and developers to really understand what’s working, what’s not,\u201d said Christopher Stern, VP of Product Marketing for AutoRABIT.<\/p>\n\n\n\n
Opsera<\/h3>\n\n\n\n
One Salesforce devops vendor who has a solution for other SaaS platforms, Opsera<\/a>, found greater awareness of its products at this Dreamforce.<\/p>\n\n\n\n
\u201cOpsera had a good Dreamforce 2023. We had a significant increase in the number of interactions where prospective customers already knew who Opsera was,\u201d said Kumar Chivukula, CEO of Opsera. \u201cThis year we had much more meaningful interactions with prospective customers. Our session with Infoblox was well attended, and we showed off our DevOps 3.0 initiative,\u201d added Chivukula.<\/p>\n\n\n\n
Salto<\/h3>\n\n\n\n
Another devops vendor who offers SaaS devops solutions, Salto, also has a good show and debuted a popular new plushie, named Knuckles. Pablo Gonzolez, a Salesforce Architect at Salto, said \u201cI spoke to a lot of people about devops and realized a lot of people have issues dealing with configuration data apps like CPQ, Field Service, Conga, etc. It was great to learn that our \u2018data as metadata\u2019 approach resonated well and created a ton of excitement for many individuals.\u201d<\/p>\n\n\n\n
<\/a><\/figure>\n\n\n\nSalto announced a new series of free educational programs called Salto Leap<\/a>. This series of five free educational programs is authored by community favorite Mr. Gonzolez.<\/p>\n\n\n\n
Metazoa<\/h3>\n\n\n\n
One Salesforce ecosystem tool vendor, Metazoa, found a receptive audience off the show floor. The company showed off its currently-shipping tool Snapshot, which adds several generative AI features. These help admins research existing metadata configurations and generate administrative recipes for removing technical debt from existing orgs. And new features seem to be coming all the time.<\/p>\n\n\n\n
\u201cI think our AI solution really resonates with people,\u201d said Bill Appleton, CTO of Metazoa. \u201cThey\u2019re able to see how we’re turning AI into a practical and reliable assistant that can deliver benefits for org management,\u201d added Appleton.<\/p>\n\n\n\n
iDialogue<\/h3>\n\n\n\n
One vendor, Salesforce ecosystem vendor with more of an operational focus, iDialogue, was able to find traction for their AI-infused products as a show attendee.<\/p>\n\n\n\n
\u201cWith Salesforce doubling down on their Data Cloud and enterprise AI strategy, we\u2019re very optimistic about the SMB opportunity,\u201d said Michael Leach, CEO of iDialogue<\/a>. and providing a turn-key AI solution that will extend existing Salesforce investments with minimal implementation costs.<\/p>\n\n\n\n
GPTfy<\/h3>\n\n\n\n
Another vendor with an opertational focus also found Dreamforce to be a profitable visit. GPTfy<\/a> is offers a prompt engineering platform solution which is targeted towards automating everyday tasks.<\/p>\n\n\n\n
- Provar<\/a><\/li>