Results

Salesforce adds AI agents to Marketing, Commerce Clouds, Slack at Dreamforce 2024

Salesforce adds AI agents to Marketing, Commerce Clouds, Slack at Dreamforce 2024

Salesforce rolled out Agentforce additions across its Marketing and Commerce Clouds as well as Slack as it harmonizes its platform with AI agents. Salesforce's clouds, Marketing Cloud, Commerce Cloud, Service Cloud and Revenue Cloud will also work natively together.

On Friday, Salesforce outlined its Agentforce efforts, agentic AI agents that will work across the company's unified platform. The technology behind Agentforce was acquired in last year's Airkit.ai purchase. Dreamforce 2024 this week will be focused on showing what Agentforce can do.

With Agentforce, Salesforce is hitting an ongoing theme across enterprise software. Simply put, the AI agent bandwagon is about to get crowded.

Here's a look at Saleforce's platform and stack.

And the Dreamforce updates:

Commerce Cloud

Commerce Cloud gets a unified experience as it now runs on one single platform. Salesforce added that it will also add autonomous Agentforce Agents for merchants, buyers and shoppers. The Commerce Cloud updates are designed to appeal for B2C, direct to consumer and B2B commerce.

A look at the Agentforce agents, which are grounded in Data Cloud and can manage product recommendations and order lookups without human intervention:

  • Merchant aims to assist ecommerce merchandisers with promotions, site setup, goal setting, product descriptions and insights.
  • Buyer will help buyers find products, purchase and track orders via chat or portals.
  • Personal Shopper acts as a concierge on ecommerce sites.

Agentforce Merchant will be generally available in October with Personal Shopper and Buyer in beta.

The AI agents are the headliner, but Salesforce also added a series of new features to Commerce Cloud including In-Store Inventory Planning, Buy with Prime, and an enhanced Salesforce Checkout.

Salesforce also said it has expanded its partnership with Stripe to expand Salesforce Payments and express checkout methods. Customers will be able to connect their own Stripe accounts to Salesforce Payments in February.

Marketing Cloud

Salesforce said it will launch a new addition of Marketing Cloud with AI capabilities. Marketing Cloud Advanced will be able to connect marketing efforts across sales, service and commerce workflows.

Marketing Cloud Advanced includes:

  • Agentforce personalization in multiple languages.
  • Automation across teams with Salesforce Flow.
  • Unified SMS conversations across Marketing, Commerce and Service clouds.

Agentforce for Marketing will get Campaign Optimizer automates, analyzes, generates and optimizes marketing campaigns. Agentforce will also personalize engagement by customer.

Einstein Marketing Intelligence will also be a one-stop dashboard to manage and optimize campaign performance with automated data prep, transparency into budgets and integration with Tableau to visualize performance.

Tableau will be able to provide insights for every agent and app with a new Data Cloud semantic layer. Additions will feature unified apps and marketplace, drag and drop VizQL visualization and shareable semantic models and metrics.

Slack

Salesforce launched Agentforce in Slack with a new interface that enables conversations to include insights, data and actions.

In addition, Slack will get integration with third-party AI agents from Adobe, Anthropic, Cohere and Perplexity.

Salesforce is also adding channels so Salesforce CRM can be tied to records in Slack conversations.

Other items include:

  • Slack AI will have huddle notes, and simplified automation experience.
  • Slack will get collections of templates, canvases and workflows for channels.
  • Agentforce will pull in CRM insights directly into Slack.
  • Amazon Q Business will also be integrated with Slack as will Asana, Box and Workday.
Data to Decisions Future of Work Marketing Transformation Matrix Commerce Next-Generation Customer Experience Innovation & Product-led Growth Tech Optimization Digital Safety, Privacy & Cybersecurity salesforce ML Machine Learning LLMs Agentic AI Generative AI Robotics AI Analytics Automation Quantum Computing Cloud Digital Transformation Disruptive Technology Enterprise IT Enterprise Acceleration Enterprise Software Next Gen Apps IoT Blockchain Leadership VR Chief Customer Officer Chief Information Officer Chief Marketing Officer Chief Revenue Officer Chief Data Officer Chief Executive Officer Chief Technology Officer Chief AI Officer Chief Analytics Officer Chief Information Security Officer Chief Product Officer

With Salesforce push, AI Agents, agentic AI overload looms

With Salesforce push, AI Agents, agentic AI overload looms

Generative AI has been the topic du jour for more than 18 months, but now the baton is going to be handed to agentic AI if Salesforce and other enterprise technology giants have their way.

Salesforce’s Dreamforce conference will be all about AI agents—known as Agentforce—and the company has had a steady drumbeat of news leading up to its flagship conference. Salesforce’s plan is to use Dreamforce to show you what Agentforce can do and reinvent the company as a platform that drives value.

The problem: Salesforce had to move early on its Agentforce news because the AI agent bandwagon was filling up so rapidly. Indeed, ServiceNow has been talking AI agents for months and its Xanadu release of its Now Platform puts agents into production this week. Oracle’s CloudWorld conference this week also included a hefty dose of AI agents across its platform, applications and cloud services. Google Cloud CEO Thomas Kurian also talked about how the company is monetizing its agents.

Speaking of monetization, Salesforce said that Agentforce will run $2 per conversation without volume discounts. To Benioff, the $2 per conversation model is a no brainer since the returns on investment are there. We’ll find out if enterprises agree.

This post first appeared in the Constellation Insight newsletter, which features bespoke content weekly and is brought to you by Hitachi Vantara.

"Dreamforce is really becoming Agentforce," said Salesforce CEO Marc Benioff. "I think this is going to be a moment that everyone is going to have to see in person to understand what is going on.” Salesforce’s plan is to outline Agentforce and then outline a bevy of customers using the technology, which was acquired in the tuck-in Airkit.ai purchase a year ago.

In 2024, AI agents came into their own as SaaS providers all worked to make generative AI use cases drive value. Presumably, enterprises will move more genAI pilots to production with the help of agents that can make decisions and automate processes on your behalf. Enter agentic AI.

The term agentic was most likely cribbed by the tech sector from psychologist Albert Bandura, a professor of social science in psychology at Stanford, who died in 2021. In 2001, Bandura wrote Social cognitive theory: An agentic perspective. Annual review of psychology 52. The term agentic has been applied to multiple fields from psychology to education to healthcare to business to portfolio management.

The rough idea behind agentic AI is to create models that can make decisions and act on your behalf. Agents are further along on the genAI progression.

Salesforce is the latest in popularizing agents, but the concept isn’t necessarily in 2024. Enterprise technology companies have been talking up AI agents for most of the year and the term has been floating around for a few years. It’s just now that venture capital will flow into agentic AI in a big way. UIPath CEO Daniel Dines said recent earnings conference call: “To me, an AI agent is basically a robot, if you want, that has some more new skills. And I think there will be multiple type of agents,” said Dines.

In fact, a new category is emerging with purpose-built AI agents for common business use cases. Constellation Research recently published a new ShortList for AI-Powered Virtual SDR Agents – which includes seven startups (and Salesforce) who have emerged with AI agent tools. While big players are getting into the game, smaller players like Qualified are showing promise with their agent roadmaps. Qualified recently added significant email capabilities to its previously chat-only AI SDR this past week.

“You are going to see almost every CRM and CX vendor offering some sort of AI-powered agent tool within the next year or so,” notes Constellation Vice President & Principal Analyst Martin Schneider. “It is the natural evolution from co-pilots; shifting from prompt-based points of insight to semi-autonomous agents that can take action and further along key – yet typically safer or mundane – processes. It is about expanding reach, productivity, and augmenting human capabilities not necessarily replacing them… yet.”

Simply put, the agentic AI bandwagon is already full. Consider some recent headlines:

You could toss Amazon Q into the AI agent mix, but Amazon Web Services refers to it more of an assistant.

The catch is that the agentic AI we’re talking about today will need to improve dramatically to fully understand and make calls in the real world. You know the drill. First comes the buzzword and then the execution.

Speaking earlier this year at Google Cloud Next, Anthropic CEO Dario Amodei said: "One of my guesses is that if you want an agent to act in the world it requires the model to engage in a series of actions. You talk to a chat bot, it only answers and maybe there's a little follow-up. With agents you might need to take a bunch of actions, see what happens in the world or with a human and then take more actions. You need to do a long sequence of things and the error rate on each of the individual things has to be pretty low. There are probably thousands of actions that go into that. Models need to get more reliable because the individual steps need to have very low error rates. Part of that will come from scale. We need another generation or two of scale before the agents will really work."

Since those Anthropic comments, the company has developed its Claude family of large language models nicely.

Technology has never waited for a buzzword to work before talking about it nonstop. Rest assured, “agentic AI,” “AI agents” and the like will be discussed extensively going forward by enterprise software giants. Why?

AI agents are being pitched by enterprise software vendors because the entire category is going to be disrupted. Everything from the cross-selling of clouds, revenue models (seats to consumption and value) and platforms vs. product lines will need to be rethought. GenAI and AI agents are likely to become the primary user interface to software and that’s going to be a big headache for your go-to vendors.

Insights Archive

Data to Decisions Future of Work Innovation & Product-led Growth Matrix Commerce Next-Generation Customer Experience Tech Optimization Digital Safety, Privacy & Cybersecurity ML Machine Learning LLMs Agentic AI Generative AI Robotics AI Analytics Automation Quantum Computing Cloud Digital Transformation Disruptive Technology Enterprise IT Enterprise Acceleration Enterprise Software Next Gen Apps IoT Blockchain Leadership VR GenerativeAI Chief Information Officer Chief Executive Officer Chief Technology Officer Chief AI Officer Chief Data Officer Chief Analytics Officer Chief Information Security Officer Chief Product Officer

OpenAI releases o1-mini, a model optimized STEM reasoning, costs

OpenAI releases o1-mini, a model optimized STEM reasoning, costs

OpenAI released OpenAI o1-mini, a reasoning model designed to excel at Math and coding. OpenAI o1-mini highlights how models with focus is the next frontier.

The company also said o1-mini's cost is 80% cheaper than OpenAI 01-preview. ChatGPT Plus, Team, Enterprise, and education users can use o1-mini as an alternative to o1-preview to save money.

OpenAI said it trained o1 models without broad knowledge and optimized for STEM reasoning.

In a high school AIME math competition, o1-mini at 70% is competitive with o1 at 74.4%, but with lower costs. Coding had comparison. In other words, enterprises will determine the accuracy needed and optimize costs. The new models from OpenAI deliver much better math performance than GPT-4o.

OpenAI also made the case that slower answers are better for STEM subjects. GPT-4o was fast, but incorrect and the o1 models were correct with slower speeds. The company noted:

"Due to its specialization on STEM reasoning capabilities, o1-mini’s factual knowledge on non-STEM topics such as dates, biographies, and trivia is comparable to small LLMs such as GPT-4o mini. We will improve these limitations in future versions, as well as experiment with extending the model to other modalities and specialties outside of STEM."

OpenAI outlined its views on how LLMs will reason going forward, but there appears to be a bit of a shift away from one-do-it-all model. Humans are also beginning to see models more like a toolkit.

The company concluded:

"o1 significantly advances the state-of-the-art in AI reasoning. We plan to release improved versions of this model as we continue iterating. We expect these new reasoning capabilities will improve our ability to align models to human values and principles. We believe o1 – and its successors – will unlock many new use cases for AI in science, coding, math, and related fields."

Recent:

Data to Decisions Innovation & Product-led Growth Future of Work Tech Optimization Next-Generation Customer Experience Digital Safety, Privacy & Cybersecurity AI GenerativeAI ML Machine Learning LLMs Agentic AI Analytics Automation Disruptive Technology Chief Information Officer Chief Executive Officer Chief Technology Officer Chief AI Officer Chief Data Officer Chief Analytics Officer Chief Information Security Officer Chief Product Officer

Adobe earnings: Solid Q3, but Q4 outlook light

Adobe earnings: Solid Q3, but Q4 outlook light

Adobe reported better than expected third quarter earnings as its primary segments delivered double-digit growth from a year ago. However, the fourth quarter outlook was lower than expected.

The company reported third quarter earnings of $3.76 a share on revenue of $5.41 billion, up 11% from a year ago. Non-GAAP earnings were $4.65 a share.

Wall Street was looking for Adobe to report third quarter earnings of $4.54 a share on revenue of $5.37 billion.

As for the outlook, Adobe projected non-GAAP fourth quarter earnings of $4.63 a share to $4.68 a share on revenue of $5.5 billion to $5.55 billion. For the fourth quarter, Wall Street was looking for earnings of $4.67 per share on revenue of $5.6 billion.

In prepared remarks, Adobe CEO Shantanu Narayen said the product advanced launched in the last 18 months "are delighting a huge and growing universe of users and enterprises."

"Our vision revolves around Adobe's deep technology platforms across Creative Cloud, Document Cloud and Experience Cloud which, when integrated, provide significant differentiation and value," said Narayen, who said adoption of Adobe AI features such as Firefly and Acrobat AI Assistant are driving demand. Adobe has surpassed 12 billion Firefly-powered generations across the company's platform.

Speaking on a conference call, Narayen said the fourth quarter is shaping up to be strong. "We saw the typical strength that we would see going into Q4. You're looking at the sequential guide. We're looking at it and saying it's the strongest ever Q4 target that we have put out there for Q4. I think we just continue to focus," said Narayen.

David Wadhwani, President, Digital Media Business at Adobe, added:

"Q3 was a little stronger than you expected, and for a good reason given seasonality. I think a lot of that can be explained by a few deals that would have historically just closed in Q4, closing earlier than expected in Q3, and that changed the dynamic in terms of the linearity that you would typically see between Q3 and Q4."

Wadhwani said Creative Cloud is seeing revenue gains from AI. "We have higher-value, higher-priced offers, thanks to AI innovation that's happening in the base plans that are impacting how the Creative Cloud business is doing," he said. "We also have a broader set of offerings than we've ever had now with web and mobile, including Premium and lower-priced offerings that are driving more proliferation."

By the numbers:

  • Digital Media revenue in the third quarter was $4 billion, up 11% from a year ago. Within that segment, Document Cloud revenue was $807 million, up 18% from a year ago and Creative revenue was $3.19 billion, up 10%.
  • Digital Experience revenue was $1.35 billion, up 10% from a year ago. Digital Experience subscription revenue as $1.23 billion, up 12%.
  • AI interactions within Adobe Acrobat was up 70% in the third quarter compared to the second quarter.

Data to Decisions Future of Work Marketing Transformation Matrix Commerce Next-Generation Customer Experience Innovation & Product-led Growth Tech Optimization Digital Safety, Privacy & Cybersecurity adobe ML Machine Learning LLMs Agentic AI Generative AI AI Analytics Automation business Marketing SaaS PaaS IaaS Digital Transformation Disruptive Technology Enterprise IT Enterprise Acceleration Enterprise Software Next Gen Apps IoT Blockchain CRM ERP finance Healthcare Customer Service Content Management Collaboration Chief Information Officer Chief Marketing Officer Chief Data Officer Chief Executive Officer Chief Technology Officer Chief AI Officer Chief Analytics Officer Chief Information Security Officer Chief Product Officer

Salesforce debuts Agentforce: Will enterprises pay $2 per AI agent conversation?

Salesforce debuts Agentforce: Will enterprises pay $2 per AI agent conversation?

Salesforce is rolling out AI agents via its Agentforce platform across its core clouds including Sales, Service, Marketing and Commerce. What remains to be seen is whether enterprises will pay $2 per conversation for Agentforce assuming no volume discounts.

The news drop from Salesforce wasn't that surprising given that CEO Marc Benioff has been talking about Agentforce and agentic AI since the company's second quarter earnings call. In addition, Salesforce has had a steady drumbeat of agentic AI themes leading up to Dreamforce. Benioff even previously mused about the $2 per Agentforce conversation model

Salesforce's biggest issue with Agentforce is that the AI agent bandwagon has rapidly filled up. ServiceNow's Xanadu release this week included AI agents and Google Cloud CEO Thomas Kurian also talked monetization for agentic AI. Oracle at CloudWorld also had some AI agent mojo.

Dreamforce 2024 is really about showing what Agentforce can do and move the conversation up the stack away from generative AI copilots to digital agents that are autonomous and can act on your behalf. Much of the technology behind Agentforce was acquired in last year's Airkit.ai purchaseSalesforce's acquisition of Own highlights small ball approach to M&A

Salesforce is also trying to thread the needle between blending humans and AI focusing on core strengths. In this AI agent vision applied to sales, humans focus on relationship building, industry knowledge, collaboration and goal setting while agents scale by answering questions, booking meetings, researching and collecting information.

Key items to know about Agentforce:

  • Data Cloud sits at the center of Agentforce as well as every Salesforce app. Data Cloud puts together all of the customer data as well as metadata.
  • Salesforce's Atlas Reasoning Engine is the brain behind Agentforce. Atlas is built on proprietary code that's designed to simulate how humans think and plan. The system evaluates user queries, refines them, retrieves data and then makes a plan to execute. Plans are then refined.
  • Agentforce has native integration with MuleSoft, Salesforce Flow and Apex.
  • Einstein Copilot has been upgraded as an agent under the Agentforce banner.
  • Agentforce will include Agent Builder to customize out-of-the-box agents, Model Builder and Prompt Builder.
  • Agentforce partners include AWS, Box, Coupa, Google, IBM, Workday, Zoom and others. This partner network has built more than 20 agents and agent actions available via Salesforce AppExchange.
  • Agentforce for Service and Sales will be generally available Oct. 25 with some components of the Atlas Reasoning Engine launching in February.

The upshot here is that Salesforce's clouds are now unified one core platform with Revenue and Orders Cloud, Marketing, Commerce and Tableau all on the same underpinning as Sales, Service, Platform and Industries. Data Cloud is the common thread.

Constellation Research analyst Holger Mueller said that the real story is the infrastructure behind the agents. 

"While the front end aspects of agent announcements are taking all the limelight it's the behind-the-scenes architecture innovation that is critical. This infrastructure is the difference in changing the future of work for people. And Salesforce has laid the foundation with its Data Cloud and now it's Atlas reasoning engine, combined with low code/no code across the key agent platform. Being able to compose performing agent applications through conversations is key to increase developer velocity and productivity." 

Ahead of Dreamforce, Salesforce highlighted a pair of Einstein Sales Agents including SDR (sales development representative) and a Sales Coach to enhance sales rep results. The company noted that agents are more impactful than bots because they are dynamic, outcome oriented and can adapt to various situations.

For Salesforce, Agentforce is the connective tissue that'll make the company's various clouds a cohesive platform.

Salesforce is going to back up Agentforce with an ongoing cadence of Data Cloud apps, Sales AI copilots and tools to accelerate value.

Here's a look at Salesforce's Agentforce lineup beyond SDR and Sales Coach:

  • Service Agent will replace chatbots with AI without preprogrammed scenarios.
  • Merchant aims to assist ecommerce merchandisers with promotions, site setup, goal setting, product descriptions and insights.
  • Buyer will help buyers find products, purchase and track orders via chat or portals.
  • Personal Shopper acts as a concierge on ecommerce sites.
  • Campaign Optimizer automates, analyzes, generates and optimizes marketing campaigns.
Data to Decisions Future of Work Innovation & Product-led Growth Tech Optimization Next-Generation Customer Experience Digital Safety, Privacy & Cybersecurity salesforce AI GenerativeAI ML Machine Learning LLMs Agentic AI Analytics Automation Disruptive Technology Chief Customer Officer Chief Information Officer Chief Marketing Officer Chief Revenue Officer Chief Data Officer Chief Executive Officer Chief Technology Officer Chief AI Officer Chief Analytics Officer Chief Information Security Officer Chief Product Officer

Ford Pro aims to be software business focused on TCO

Ford Pro aims to be software business focused on TCO

Ford CFO Navin Kumar sounds like an enterprise software executive when he talks about Ford Pro, a unit focused on vehicles for businesses, and total cost of ownership, data and subscriptions.

Speaking at Goldman Sachs Communacopia + Technology Conference, Kumar noted the flywheel of data, vehicles, telematics, uptime and customer experience. Ford Pro includes commercial vehicles, all-electric trucks and vans and various services including telematics, telematics with dashcam, data services and fleet management.

The Ford Pro strategy is similar to Rivian's model: Build a fleet, create a data flywheel and deliver a great customer experience. See: How Rivian Data, AI, and a Software-Defined-Vehicle Strategy Is Paying Off

Kumar noted that Ford Pro has 600,000 paid software subscriptions and 32 dedicated elite service centers with 100 operational by 2026. Mobile repair orders grew 100% from a year ago in the second quarter. In the second quarter, Ford Pro delivered EBIT of $2.6 billion on revenue of $17 billion, up 9% from a year ago. Demand was driven by Super Duty trucks and Transit commercial vans. Demand for those vehicles outpaced production.

Kumar said:

"We're building out a fast, reliable, data driven service network that keeps vehicles on the road. And for Pro, this is a virtuous cycle. The more software subscriptions we have, the more data intelligence and analytics that flows into how our customers can operate their fleets more efficiently, how we can service these fleets more effectively and also make the software better and better.

So, for Pro, growing our software across all customer channels and use cases really builds out an intelligence mode that sustains our market leadership and helps our customers improve their bottom line."

Kumar said Ford Pro is looking to integrate hardware, software and cloud applications to improve customer productivity and uptime. "Our service is getting smarter and much more proactive to minimize vehicle downtime. For our customers, that's improving their bottom line. And for Pro, it is diversifying and growing our business into higher margin software and services which are more durable earnings streams," said Kumar.

Related: General Motors needs to fix its software issues quickly

Ford Pro is expanding into fleet management for small and medium sized businesses with a focus on driver management, inventory management, service scheduling and parts expense management.

Kumar said the telematics dashboard blended ARPU is about $20 per month and can vary based on size of fleet and use cases. Data services are priced lower. Rental companies want a full data pipe and the pricing starts at $5 a month and expands. On a blended basis, Ford Pro is seeing ARPU between $7 to $8 a month.

Kumar said:

"We run our software team like a software business. You have annual recurring targets, you have gross margin targets, you have churn targets. But from an enterprise standpoint, we want as many vehicles connected and need vehicles in our ecosystem that could drive differentiation and uptime and productivity. That has dividends when it comes to vehicle loyalty and market share leadership and growing our service parts business. From an enterprise holistic mix standpoint, it's about subscription growth."

Ford Motor is using Google Cloud's deep learning services to build simulations for virtual wind tunnels to replace computational fluid dynamics. Ford also leverages Google Cloud's database services

Data to Decisions Next-Generation Customer Experience Innovation & Product-led Growth Tech Optimization Future of Work AI ML Machine Learning LLMs Agentic AI Generative AI Analytics Automation B2B B2C CX EX Employee Experience HR HCM business Marketing SaaS PaaS IaaS Supply Chain Growth Cloud Digital Transformation Disruptive Technology eCommerce Enterprise IT Enterprise Acceleration Enterprise Software Next Gen Apps IoT Blockchain CRM ERP Leadership finance Customer Service Content Management Collaboration M&A Enterprise Service Chief Information Officer Chief Technology Officer Chief Digital Officer Chief Data Officer Chief Analytics Officer Chief Information Security Officer Chief Executive Officer Chief Operating Officer

Zoho Analytics revamp aims to connect, BI, data scientists, business users

Zoho Analytics revamp aims to connect, BI, data scientists, business users

Zoho launched a new version of Zoho Analytics that includes more than 100 enhancements in a bid to appeal to data scientists who can then feed business users easy to consume insights and models.

The company added multiple artificial intelligence (AI) and machine learning (ML) features to Zoho Analytics including an ML model-building studio, integration with OpenAI, and more than 25 connectors to third party business intelligence systems.

With the launch of Zoho Analytics 6.0, Zoho is looking to converge AI and ML in the context of business intelligence (BI) workflows with Zoho Flow integration. The bet is that Zoho and its pricing model can bring "AI-powered self-service BI" to multiple enterprise personas.

Historically, data science has been too complicated for broad business user adoption. Zoho Analytics is looking to bridge that data scientist/business user gap with a new DSML Studio for data science and machine learning and be one pane of BI glass via integration with Salesforce Tableau, Microsoft's PowerBI and other third-party platforms.

The new version of Zoho Analytics touches on many of the themes that Constellation Research analyst Doug Henschen has been highlighting including the combination of BI and generative AI, value plays in BI, and the importance of embedded analytics. “Zoho Analytics’ greatest strength is the value that it offers for very little money,” said Henschen. “The latest upgrade adds yet more features, particularly augmented analytics and data science capabilities, to bring more value to an already competitive platform.”

In a blog post, Henschen added:

"Zoho is not just a cost-competitive disruptor in the CRM, personal productivity and collaboration spaces; since 2009 the company also has been steadily gaining market share in the business intelligence (BI) and analytics arena."

According to Raju Vegesna, Chief Evangelist for Zoho, Zoho Analytics, which launched as Zoho Reports in 2009, is the first offering that integrates the company's investments over the last decade. Those investments include automation, no-code and low-code development, third party integration, machine learning and Zoho's Zia AI engine.

Zoho Analytics is part of Zoho Enterprise but can be purchased as a standalone application. Zoho Analytics has more than 17,000 standalone users up from 10,000 in 2020. Via the Zoho One suite, Zoho Analytics has more than 70,000 businesses that tap into the platform daily.

"The latest version of Zoho Analytics is one of the first solutions from the company that takes advantage of every one of these decades-long investments," said Vegesna. "The result is a democratized platform that is powerful, intelligent, and flexible enough to benefit everyone and anyone."

Zoho Analytics has four plans, the most popular plan is Premium at $115 a month billed annually for 15 users and 5 million rows. Zoho Analytics Enterprise is $455 a month billed annually for 50 users and 50 million rows. Additional users are $6.40 per user per month billed annually. Viewers are $80 for 25 viewers per month billed annually.

“The buying option that makes sense for organizations with 100 or more employees is Zoho Analytics Enterprise, which bundles everything, including Zoho Data Prep, Zia Insights, Ask Zia, Auto Analysis, DSML Studio, the analytic portal, and higher-level allowances for data connectors, storage, data refreshes, alerts, scheduled report delivery, and more,” said Henschen.

Here's a look at Zoho Analytics by category.

Data Management Hub

Zoho Analytics gets expanded data management tools including Stream Analytics, ETL data pipelines, metric enhancements and a bevy of connectors.

According to Zoho, Zoho Analytics now has more than 500 data connectors by adding 25 new connectors including streaming source options Google Cloud Pub/Sub, Kafka and the PubNub platform.

Zoho also made Zoho Analytics more accessible by giving business users the ability to create and manage ETL data pipelines, visual builder tools to build custom transforms and ML models with Python Code Studio. Zoho Analytics is also infused with Zoho's natural language with Ask Zia.

Zoho Flow, the vendor’s optional workflow engine, also is integrated with Zoho Analytics to orchestrate data pipelines. In addition, Zoho Analytics gains a new Metrics Layer to manage all business metrics in one place. Data apps can also consume the same metrics as Zoho Analytics Headless BI mode.

Generative AI

Throughout Zoho Analytics, Zoho has added generative AI capabilities. The platform features Open AI integration with retrieval-augmented generation (RAG) using Open AI APIs and bring your own keys. Users can more easily find public datasets and create formula and SQL queries.

Other genAI additions to Zoho Analytics include:

  • Zia Insights, Zoho's automated insights engine, now provides diagnostic analytics contextually.
  • Ask Zia, Zoho's natural language query AI copilot, now allows users to trigger actions and build custom data models. The Ask Zia Bot can also be integrated with instant messaging platforms including Microsoft Teams.
  • Auto Analysis, a tool within Zoho Analytics, has been enhanced to take advantage of the Metrics Layer and automatically generate metrics, reports and dashboards.

Data Science and Machine Learning Studio

Zoho added the Data Science and Machine Learning (DSML) Studio to Zoho Analytics. DSML Studio enables users to build custom machine learning models for business use cases.

DSML Studio includes:

  • AutoML, a no-code assistant to build custom ML models, to train, test, compare and deploy models.
  • Code Studio, a new Python code environment to create custom ML models. Code Studio can import Python models and external built libraries.

Extensibility

Zoho Analytics has a no-code builder for data connectors, actions, BI fabric and software developer kits.

Here's a look at other extensibility features:

  • BI fabric gives Zoho Analytics to consolidate insights from multiple BI platforms including Power BI and Tableau into one portal.
  • Zoho Analytics users can trigger actionable workflows and integrates with Zoho Flow, which has more than 500 app triggers.
  • No-code data connector builder to bring data from custom applications. Data connectors can be sold on Zoho Marketplace.

Data to Decisions Innovation & Product-led Growth Marketing Transformation Next-Generation Customer Experience Tech Optimization Future of Work Digital Safety, Privacy & Cybersecurity zoho intel Marketing B2B B2C CX Customer Experience EX Employee Experience AI ML Generative AI Analytics Automation Cloud Digital Transformation Disruptive Technology Growth eCommerce Enterprise Software Next Gen Apps Social Customer Service Content Management Collaboration Machine Learning LLMs Agentic AI business SaaS PaaS IaaS Enterprise IT Enterprise Acceleration IoT Blockchain CRM ERP finance Healthcare Chief Information Officer Chief Data Officer Chief Technology Officer Chief Information Security Officer Chief Executive Officer Chief AI Officer Chief Analytics Officer Chief Product Officer

Zoho Advances Its Value-Leading Analytics and Business Intelligence Platform

Zoho Advances Its Value-Leading Analytics and Business Intelligence Platform

Zoho Analytics 6.0 brings AI-infused upgrades to data management, natural-language interaction, and data science capabilities – all at superow prices. 

Zoho is not just a cost-competitive disrupter in the CRM, personal productivity, and collaboration spaces; since 2009 the company also has been steadily gaining market share in the business intelligence (BI) and analytics arena. Zoho Analytics 6.0, the latest upgrade of the vendor’s BI and analytics platform, announced on September 12, ups the ante by adding advanced, artificial intelligence (AI)-powered capabilities for data management, natural-language (NL) interaction, and data science. Although some of the tools are aimed at data professionals, they’re integrated with a platform that brings the power of insight, prediction and action back to ordinary business users.

There’s no doubt that competitive pricing has a lot to do with Zoho Analytics’ adoption by more than 17,000 organizations and three million users. What buyer would not at least consider a BI and analytics platform with all-inclusive pricing that comes in at less than $10 per user, per month (based on the annual pricing of Zoho Analytics Enterprise)? That does not mean that customers must sacrifice much when it comes to functionality. Zoho stays competitive with state-of-the-industry features, as plified by the three Zoho Analytics 6.0 upgrade themes detailed below.

Going Deeper on Data Integration and Data Management   

To recap some of the basics of Zoho Analytics, the platform is most often purchased as a multitenant software-as-a-service (SaaS) offering that runs on Zoho Cloud, which operates 16 data centers around the globe, with redundant data centers in North America, Europe, India, China, Japan, Saudi Arabia, and Australia. Zoho Cloud has stringent, transparent privacy policies and meets compliance requirements in multiple countries and jurisdictions (including the California Consumer Privacy Act in the U.S. and the General Data Protection Regulation in Europe).

Zoho Analytics is also available as a server-based offering deployable through the Amazon Web Services (AWS) and Microsoft Azure marketplaces or by customers themselves on other public clouds or on private clouds.

Where data integration and data management are concerned, Zoho Analytics offers out-of-the-box connections with more than 500 data sources, including cloud and on-premises databases, popular productivity tools and business applications, files, feeds, and spreadsheets. Zoho DataPrep, included with Zoho Analytics Enterprise, supports automated data modeling and blending, smart (augmented) data cleansing, no-code data transformation, data enrichment, and data cataloging.

Zoho Analytics 6.0 upgrades include new data modeling capabilities and a metrics store, above, that helps ensure consistency and promote reuse of approved metrics and measures.

Zoho Analytics 6.0 enhances the platform’s data integration and data management capabilities by offering the following:

  • New data connectors, including streaming options.  The pace of business is always accelerating, so Zoho has added pre-built connectors for popular streaming sources Google Cloud Pub/Sub, Kafka and the PubNub platform for real-time applications. Among the 25 other new connectors added with version 6.0 are app integrations with Oracle NetSuite, Expensify, and Monday.com, and data source integrations with Databricks, Google Cloud Storage, Neo4J, and Yellowbrick.
  • Ask Zia NL assistance within Zoho DataPrep.  In the 6.0 release, Ask Zia, Zoho’s NL copilot, has been added to Zoho DataPrep. Users can now simply ask it to “remove duplicates” or “join two datasets,” for example, to clean up or enrich data.
  • New metrics layer. Semantic modeling capabilities help to ensure data consistency, reliability, and reusability, so Zoho is stepping up on this front in Zoho Analytics 6.0 by adding data modeling capabilities, a metrics store, and deeper access control capabilities. The upgrade will make it easier to provide and secure consistent data and to standardize and reuse key performance measures.
  • Zoho Flow integration. The vendor has integrated Zoho Data Prep with Zoho Flow, the vendor’s lightweight workflow engine, providing an (extra-cost) option to meet more sophisticated data pipelining and data orchestration requirements.

Infusing AI Across the Platform

Generative AI (GenAI) continues to grab lots of attention, but it’s not the only form of AI that’s driving innovation. Zoho is infusing a variety of AI capabilities into Zoho Analytics to speed analysis and derive deeper insights:

  • Zia Insights gets diagnostic. Zia Insights is an existing AI/machine learning (ML)-powered automated insights feature that helps users spot variances, outliers, and trends; do comparative analysis; and get top insights through NL explanations. In the 6.0 release, Zia Insights gains diagnostic capabilities for root-cause analysis. This helps to answer the “why” questions, explaining with short NL narratives the key drivers behind changes in any measure or key performance indicator (KPI).
  • Ask Zia adds actions, languages and integrations. As of the 6.0 release, Ask Zia can handle complex calculations and trigger actions. For example, you can Ask Zia to create a new calculated field, generate a new report containing that field, and then send a PDF copy of the resulting report to specific users or groups. Ask Zia is also now multilingual, understanding and generating French and Spanish as well as English. Finally, the Ask Zia Bot can now be integrated with collaboration/messaging platforms such as Microsoft Teams, bringing NL analysis capabilities outside of the context of reports and dashboards.
  • Auto Analysis generates high-value reports and dashboards. Now that Zoho Analytics has a metrics layer, the platform’s augmented Auto Analysis feature has been enhanced to automatically generate metrics, reports and dashboards. With the click of a button, Auto Analysis can generate dashboards focusing on, for example, sales analysis, net revenue analysis, ad spend, or sales versus net spend. In case the results don’t quite fit the needs of the organization, customization features are available to tweak the automated output.
  • Open AI integration. Zoho Analytics’ bring-your-own-key (BYOK) integration with Open AI has been enhanced to provide contextual assistance for SQL query creation, metrics generation, and data-enrichment using public datasets. The integration also now supports retrieval augmented generation (RAG) against customer data without data sharing. To ensure security and privacy, only underlying metadata is shared with OpenAI.

Supporting Data Science and Machine Learning

Many organizations want to go beyond descriptive and diagnostic analytics – rearview analysis of what happened and why. They want to graduate to predictive and prescriptive analytics – gaining insight into what will happen and what should be done about it. Following this interest, many BI and analytics vendors are moving into the predictive domain.  

in the 6.0 release, Zoho is adding a new DSML Studio supporting-- you guessed it--data science and machine learning. DSML Studio is aimed at data scientists, data engineers and savvy data analysts, but once their data transformation and modeling work is done, the resulting predictive results can be shared with the broad base of ordinary business users through reports, dashboards, key metrics and so on. Salespeople, for example, could be exposed to leads predicted to be most likely to convert, and service agents could see if customers they are busy supporting are likely to churn.

Zoho Analytics’ new DSML Studio and its AutoML feature help customers go beyond descriptive and diagnostic analytics and move into the predictive realm.

  • AutoML.  DSML Studio’s AutoML feature draws from an assortment of pre-built algorithms – XGBoost, decision tree, random forest, adaptive boost, linear regression and so on – and automates feature selection, model selection, and hyperparameter tuning based on the selected data and type of prediction desired. The feature also supports testing, deployment, and management of resulting models.
  • Code Studio. Aimed more squarely at data scientists, DSML Studio’s Code Studio component is an integrated Python environment for custom model development.

Constellation’s Analysis

There’s more to the Zoho Analytics 6.0 upgrade, including analytic portal integration with Tableau and Power BI, but the overarching theme is adding more features, more AI/ML/GenAI capabilities, and more value to an already competitive platform.

As I detailed in my in-depth analysis of Zoho Analytics, among Zoho Analytics’ few weaknesses are the fact that it’s available as a service only on Zoho Cloud. That’s not a concern for customers using other Zoho apps that also run on Zoho Cloud, but customers with data concentrated on AWS, Azure, or Google Cloud have a choice: either live with cloud data connections (and their potential latency) or self-manage Zoho Analytics on a third-party cloud. One other drawback: Zoho Analytics is a view-only system lacking write-back capabilities, a drawback in certain embedded scenarios where interactivity with parent applications is desirable.

Again, Zoho Analytics’ greatest strength is the value that it offers for very little money.  There are entry-level price points, but the buying option that makes sense for any organization with more than 100 employees is Zoho Analytics Enterprise, which starts at $455 per month for 50 users, based on an annual subscription. Best of all, the Enterprise package includes everything, including Zoho Data Prep; Zia Insights; Ask Zia; Auto Analysis; DSML Studio; the analytic portal; and higher-level allowances for data connectors, storage, data refreshes, alerts, scheduled report delivery, and more.  

One last point I’ll make is about the Zoho Analytics support experience, which is “fantastic,” according to customer Kris James of Sparex. That’s not something I’m used to hearing from a lot of BI and analytics customers.

Data to Decisions Tech Optimization Innovation & Product-led Growth Future of Work Next-Generation Customer Experience Digital Safety, Privacy & Cybersecurity Marketing Transformation intel ML Machine Learning LLMs Agentic AI Generative AI Robotics AI Analytics Automation Quantum Computing Cloud Digital Transformation Disruptive Technology Enterprise IT Enterprise Acceleration Enterprise Software Next Gen Apps IoT Blockchain Leadership VR Marketing B2B B2C CX Customer Experience EX Employee Experience Growth eCommerce Social Customer Service Content Management Collaboration business SaaS PaaS IaaS CRM ERP finance Healthcare Chief Information Officer Chief Analytics Officer Chief Data Officer Chief Technology Officer Chief Executive Officer Chief AI Officer Chief Information Security Officer Chief Product Officer

Dell Technologies COO Clarke: Data gravity will drive enterprise genAI infrastructure demand

Dell Technologies COO Clarke: Data gravity will drive enterprise genAI infrastructure demand

Dell Technologies Chief Operating Officer Jeff Clarke said “there’s no question that AI is coming to the enterprise” due to data gravity and proprietary information that won’t be moved to the cloud.

Today, the generative AI buildout is primarily driven by cloud service providers, but enterprises are starting to drive demand. Indeed, Dell Technologies and HPE saw strong growth in AI servers with enterprises becoming part of the mix.

Speaking at the Goldman Sachs Communacopia + Technology conference, Clark said:

“There's no question AIs coming to the enterprise. One through all the data is, and data is very expensive to move. And in many cases, that is proprietary is unique. It's part of your business model, your value add, your secret sauce. It's not going to be transferred into other things. So, data gravity is clearly driving AI over time to the enterprise.”

Clarke added that there are five foundational models trained on anywhere from 30- to 50-terabytes of data. “Dell has hundreds of petabytes of data and we’re not unique. Let’s just say it’s all value-added data for the moment,” said Clarke. “We're going to do fine tuning and run inference on our data to make us serve our customers better. And every customer is going to go through that same sort of calculus. They're going to try to understand what part of their data allows them to serve their customers better, produce their products and services better, serve their customers better in terms of services or end user services.”

What will be different with enterprise AI will be the deployment model. Clarke said hyperscale cloud providers are buying AI infrastructure in bulk. Enterprises aren’t likely to deploy AI in large clusters. “They’re going to deploy it as a model here and a usage model there,” said Clarke. “We’re seeing customers experiment.”

Clarke added that enterprises are also upgrading servers with AI capabilities to replace older hardware from the COVID-19 pandemic. “We went through the longest digestion period in the history of the server marketplace eight quarters. Data centers are full of older products,” he said.

As for use cases, Clarke said genAI use cases boil down to the big five. “Five primary use cases really are driving what we see in enterprise. One is around cogeneration. Two is around agents and sales assistance. Three is a focus on content creation, content automation. Four is around customer service and the fifth is around supply chain. Those use cases are universal across most companies,” he said.

Enterprise demand is also being driven by a few verticals. Clarke cited financial services and quant traders being aggressive with AI. Pharmaceuticals are another area as is healthcare. Industrials, manufacturing and oil and gas are also driving enterprise AI demand.

Tech Optimization Data to Decisions Innovation & Product-led Growth Future of Work Next-Generation Customer Experience Digital Safety, Privacy & Cybersecurity Big Data AI GenerativeAI ML Machine Learning LLMs Agentic AI Analytics Automation Disruptive Technology Chief Information Officer Chief Technology Officer Chief Information Security Officer Chief Data Officer Chief Executive Officer Chief AI Officer Chief Analytics Officer Chief Product Officer

Oracle & SAP Announcements, ShortList Spotlights | ConstellationTV Episode 88

Oracle & SAP Announcements, ShortList Spotlights | ConstellationTV Episode 88

Don't miss ConstellationTV episode 88 📺 This week, co-hosts Liz Miller and Holger Mueller unpack the latest enterprise #tech news (Oracle's #CloudWorld announcements and database integration with Amazon Web Services (AWS) and Microsoft Azure AND how recent leadership changes at SAP will impact it's future direction).

Then, Holger introduces his 2024 Workforce Management ShortList, describing what qualifies vendors for the list, and highlighting ADP specifically for its strong scheduling capabilities, #UX, labor forecasting, and #payroll integration.

Finally, Liz highlights her 2024 Digital Asset Management (#DAM) in High-Volume Commerce Shortlist, emphasizing the importance of scale, usability, integrations, and speed, and naming OpenText for its integration capabilities, simplicity, and all-inclusive subscription pricing.

00:00 - Meet the Hosts
00:59 - #Enterprise Tech News updates (Oracle & SAP announcements)
17:41 - Workforce Management ShortList feat. ADP
23:16 - DAM for High-Volume Commerce ShortList feat. OpenText
34:55 - Bloopers!

ConstellationTV is a bi-weekly Web series hosted by Constellation analysts, tune in live at 9:00 a.m. PT/ 12:00 p.m. ET every other Wednesday!
_

News Video Transcript (Disclaimer: this transcript has not been edited and may contain errors)

Hello everybody. It's Holger Miller here from Constellation Research. Welcoming my fabulous course. Liz Miller to episode number 88 welcome Liz 88 Thank you, Holger. It's great to be here, although you and I now have officially kicked off event silly season. So here is a randomly moving pin on a map to be determined later. But it started. It has begun. We've kicked off three months of absolute madness, but we couldn't be happy to be here with you folks. Let's get right into it with the news. Thank
Yeah, I'm in Las Vegas, so it's cloud world going on once a year, Oracle User Conference. And I didn't expect it would happen now. I would expect it would happen at some point. As you know, Oracle's been putting its database into Azure, where it started. All got renewed last year with being available to provision Oracle for the Azure console, they added Google Cloud and spring and now, believe it or not, Matt Garman was on stage with Oracle founder Larry Ellison, talking about the benefits of running the Oracle database inside of AWS. Now great news for customers, of course, because it means you can use your trusted, transactional, mission critical database in conjunction with the whole AWS stack. I think it's a win win for customers behind the scenes. On the database side, it means that the last people who were kind of like saying, we have a better database for transactional applications was AWS, and that has got similar like Microsoft or SQL Server, Google was never in that field, but basically, Oracle has won the competition for performance critical transaction databases.

And interesting enough, also big here, the heatwave database, which also runs on AWS since a long time, and running on Azure as well, has also low code, low offering, MySQL, open source based so to like database answer, great, great progress, or great situation from Oracle perspective, good situation for customers, because there's really only one database. Let's hope that Oracle doesn't abuse that position. Otherwise compares to who would never do this? Oracle, right? No, no. Oracle would never do this. So good news on the OCI side as well, more latency, smaller instances, basically, or it can put their cloud into any on premise solution, so satellites, public cloud, and last but not least, SaaS, I mean, massive investment the SaaS side, it's all going agent based over 50 agents announced always going to be more last year, they said 50. AI solutions channel to be 100. The industry stuff is super deep and vertical. It's a really good time to be an Oracle customer. If you're a prospect, you definitely have to look at Oracle across the stack. And I mean, last comment on this right, Larry Allison's vision was always build the better IBM, or the next IBM, or the 20th century. Well, now then 21st century. And he basically, I think, has achieved that, but he has something across compute, hardware, compute, networking missed that already pass database and software application, and it runs in the multi cloud.

So, I mean, what else would be the IBM of the 21st century, the all the one place where every company has to stop by for it as the SMB offering. On the NetSuite side, there's a small case database side, so fitting all boxes, it's good time on the Oracle side for Oracle customers. I think it's why, when I, when I see everything they're doing, that it is, it is really smart. It is really methodical, very strategic on both the infrastructure and on the data, on just, you know, the availability and the usability of everything that you know you've got something that is financially sound and secure, which you can't necessarily say for a lot of their competitors. It is one of the reasons why I think I have a heightened expectation that their reworked CX solutions and their strategies around CX sales, marketing, service and commerce. If we look at all four of those, I need to see more, right? If I'm being super honest, I need to see, you know, I'm expecting a whole lot, maybe not out of this cloud world. But what happens three months from now? Four months from now, what are we going to continue to see coming out of them? They reworked that fusion platform.

We know that they took the best of the best out of all of their acquisitions over the past, you know, 567, years, they got rid of a lot of the advertising nonsense that was really mucking up. Here's right, if we're really being honest about what happens when you try to merge ad tech in with your CX platform, it is never going to be a pretty picture. I think everyone has learned that at. This point, but with Oracle, I really have high expectations, because because of a lot of the work that they've done there, my expectation is that we start to hear a heck of a lot more around what CX leaders who are on OCI, where your IT infrastructure has made this decision. They've moved their databases. They've moved their infrastructure into the cloud. They are now working in this environment where the data is truly available for these business applications. I want to hear more about the whims and the use cases, right? I want to hear more about the connectivity. I want to hear more about the interoperability of all of these suites of not just fusion sales, fusion service, fusion commerce and these buckets. I want to hear how these customers are bringing it all together. And so I'm hoping that we hear that through a lot of these industry conversations. I think that the way that they have brought these tools together is really smart. Now it's going to be, at least for CX buyers. This is where the rubber has to meet the road. It can't just be about, well, we have OCI, like, we've got this great infrastructure. It's like, okay, great. Now I want to see more.

So I think it's going to be a really interesting time, as much as I wish I could be at Cloud world. I am off doing other nefarious things here in New York with the team at Sprinklr, and then I'll be heading up and seeing the folks at emphasis and you know, both are really trying to make strides into that CX space, offering different solutions and offering very different suite and platform offerings with a new AI driven marketing automation that's coming out of emphasis, we've got, you know, certainly, more connected solutions here at Sprinklr. So it's, it's a very interesting space right now. All of it comes with that magical sparkle pixie dust that's going to solve everything. It's going to cure everything. I don't know if you know about this folder. It's called AI, yeah, exactly. It's interesting. It's interesting that we see a lot of activity, again, from the formerly beaten CRM players at the ERP vendor trying to get back in the game. We saw that SAP at Sapphire as well. Also interesting, like just minor side, right? So Oracle doesn't talk about HCM, finance, supply chain, purchasing, but sales, service and marketing. I live in the same level like HCM finance and so on. So at least they can get some airtime. I hope that the execution works on the HCM side. And the important thing there is that workforce management necessary for Cerner, you can't have a ehm solution or workforce management had to be built. So that means and the partnership with Kronos, aka UKG, and it turns out that healthcare scheduling is so complex that it also works really well for retail, which also one of the most scheduled, exactly so. But that's where workforce is getting really interesting. And I think that is where, I mean, we talk about it a lot here at Constellation, right the breakdown of that wall between the technologies and solutions that are required for customer experience and employee experience. And it's not that fluffy middle ground, right? Of like, everyone's happy. So everyone's happy, it's like, no. This is really hard stuff to manage, managing customer journeys and managing scheduling. Isn't as easy as dropping three blips into a workflow and having the arrow go in the right direction, right? These are really hard things to do with a lot of different systems have to connect into these tools to make this flow, especially if you want to look at autonomous actions. So when you start to look at something like contact center scheduling, it's not an Excel spreadsheet anymore. Kids, right? Like we have to start looking at some of these automated fashions, but we also then have to look at, how does that impact everything downstream? So I think we're going to start to see those blend together. We're certainly, we're certainly gonna be talking about it more at our ambient experience Summit.

That's gonna come up in 2025 so holders gonna get dragged in kicking and screaming on that one. So then, how's that for news everyone? That's a good news flash. Yeah, one takeaway from the Oracle side, right? I mean, Oracle was pronounced this more than a few times, right? And I think the lesson learned, really there is, as long as a software vendor keeps the customers and the customers don't go away, even if they don't like you, which is exactly case of war, you may eventually get it right. And then, if you have, if you're profitable enough, which oracle was, and you know when to invest. I mean, if you look Oracle, put like 30 billion or so into OCI and Nvidia GPUs, right? I mean, always jokingly say Larry and Safra spent money like drunken sailors on this, but when they saw an opportunity, they had the financial resource to invest. Which the big difference to all the vendors which were relevant in the 90s as well. If you look at IBM, if you look at Cisco, if you look at Dell, all these people, all these vendors didn't have the resources to build their own cloud infrastructure. So that makes Oracle unique. Now that's a SaaS vendor which has their own cloud and coming into the eye area. What could be good about this? Right? We can think of lots of things which for another video.

So that's absolutely and I think this is and I think that this theme, and everything that you're talking about here that we're going to start seeing cloud start seeing cloud world. I mean, talk about what happens in the next week when we start to head into things like Dreamforce, and you start looking at all the heavy lifting that the folks at Salesforce has had to do over the past couple of years to get their own cloud and get their own platform in order and create that foundation so they could build these solid business applications. And on top of it. So you now have a scenario where, okay, you know what? What are we going to start to see at Dreamforce? Are we going to start to see what happens when all of this connectivity can happen and all of these agents in this kind of big agentic life that we can now start experiencing within corporations? How does that have to happen? It has to happen because you've got, you've collectivized all of the data and all of the infrastructure in that public cloud space, and with all that data available, so customers have not moved to the public cloud as they could have. So that will be the interesting thing that for me next week at Dreamforce to see what is holding them up right at the same time rising right the bromance between workday and Salesforce, again, another partnership, same problem there, build on their own, and haven't gone to the public cloud yet. So the partnership with Salesforce and AWS, they, you know, they are now, are also available in Azure. So I think that, I do think that we're going to start to see, you know, we've seen, we've seen some pre briefings.

We can't talk about them right now, of course, just because they're under NDA until Dreamforce. But I think we are going to see a couple things that are going to start showing why the last several years of building this foundation had to happen, and now there's a reason why, I think for a lot of customers, there wasn't a reason why, because there were just certain clouds that weren't available over there, right? If you can't get everything in one spot. Why do you want to tip over the apple cart? So I think we're going to start to see some of those reasons and those reasons to believe. So stay tuned, because I know in our next episode, episode number 89 with Larry and with Martin, they're going to be doing some stuff from Dreamforce. And of course, you're going to probably see a whole lot of us posting from there. You're going to see Holger talking. You'll see me talking. But listen, lots of news is happening. We didn't even get to touch on the fact that Google has officially started their trial, or the DOJ actually has officially started its trial against Google with its antitrust in creating unfair advertising practices and creating unfair imbalance in the online advertising business. That's going to have a whole lot of fireworks. We're going to have to get big buckets of popcorn. This is not going to be a quick and easy trial. A lot of stuff is going to come out. There's going to be a lot of stuff that comes out about what happens when Google and Facebook try to go do a couple things that they might not, might not be great. So lots of stuff is going to be coming out there. We've also had a big shake up at SAP, um, you know, and we're kind of entering into a new era. We've gotten rid of threes and boxes and seen, you know, other board members, but you know Holger, we're going a little bit over here. We're going to get yelled at by our wonderful producer, Hannah, but let's take a minute.

When you look at SAP, of course, it's sad to see folks that we had great relationships with go, but they're all going to move on to other things. You know, we've already seen one board member. We've already seen Scott Russell be announced as the new CEO over at, nice, the big C Cass and, you know, contact center leader. So that's a great role for him. It's a great pickup for nice opens up a Rolodex of CIOs that have trusted Scott for decades. So it really brings them into a very, very different posture. So great pickup for them, you know, but, you know, it's sad to see folks go. But what does this mean for SAP? If you were to kind of crystal ball this, and you look at this and say, Okay, what this means for the next six months, 12 months? What do you see happening with SAP? Yeah, so we're definitely in the post hustle platinum era in SAP, right? Some of the board members, which are no longer there, were very close to him. Were pushed by him to be in their position, got their back strengthened by him in multiple occasions. So we'll see how that's going to pan out. To all these roles will be filled. What we know for sure it's the least experienced board SAP ever since SAP went public, and no board member had public company experience, obviously, right? So there's only two board, three board members, and barely one that CFO Dominic Assam is is barely over one year, and Thomas our IC and Christine Klein irons basically on their shoulders to move sap to as Farhana convince SAP customers to move there, which is a really, really difficult challenge, specifically on the platform side. Wilk Muller gum, Christine Klein always spoke very highly of the platform in his early days, before he was even CEO, much of this was to Bill McDermott, who had bets with he would say platform in the keynote, and he wouldn't say it.

But fine, that doesn't matter. So history, what's interesting from that? And report the platform reports directly to Christian. So we'll see how that changes the dynamics. We're moving more to an SAP board, like at the original founding, where every board member had a development functionality and go to market functionality, right? So we have Thomas Allen, all they do go to market part, all the maintenance of the old things, all the customer transformation, because the client, basically, apart from Moritz alarm, who has the application side, has a platform and so on. So we'll see so for a moment. And you know the history of SAP say, Hey, can I be in charge of your sales, or Japan sales, or whatever? Just as to go back to the old traditional, yeah. I think it's a big opportunity though. Like, I don't you know, like, it's always sad to see those, those phases happen, and you never want to see people go but I will say, after the momentum that I saw of what they're doing with primarily grow right, primarily some of that motion with that mid market, I think there are a lot of positive signs that people are kind of understanding where SAP wants their organizations and wants their enterprises to go. They've got the heavy the heavy industrial, you know, position. But I will say the interesting thing of this for me are the changes that happen on the supervisory board, kind of before all of this happened. Because I think that's where a lot of the guidance, and that's where a lot of the push for innovation can really come from. You have a lot of folks that are kind of very new to the SAP ecosystem that are potentially going to ask leaders like Christian, leaders like Thomas to say, Okay, where are we going next? Where are we pushing next? So I actually think this could be a real opportunity for Christian to really become his own CEO. So I'm kind of excited to see it like I'm not, I'm not, I'm not gonna lie. I think it's I think it's gonna be a challenge for him, but I think it's one that he's a little battle tested already for. So I think it could be a good thing you and I, of course, have had a chance to get some of the inside scoop on some of the tools and solutions that are going to be coming out over the next several months. SAP. It's going to be super interesting to see what generation, age wise, cmo and CRO SAP is going to hire. Right is that, might they be younger, or might they get somebody experienced older in there? But it could set up a management team for SAP for the next 20 years. Right between consistency being a cloud world would be the same like at Oracle 20 plus experience on every side, on database, leadership side, on the application leadership side, right? Only the Cloud Guy claiming Gore is a newbie with six, seven years or something being there, which is completely new. It's more tenure than all the new SAP board members have together, right?

So and consistency is very important in this business, right? People build relationships. Software's the business of trust. They have to trust your bits and bytes to what you say. So it's high stakes, certain amount of risk, I think Christian has ability to get it right, and we'll see. First thing will be nominate, seeing who they get for CMO of zero.

So yeah, okay, well, we're gonna have the hook pulled on us by stop from she's just gonna pop on here and just tell us to be quiet. So hey, thanks for joining us. We got a couple interviews that are gonna be coming up. We got we're gonna talk about some short lists. We're gonna talk about what's happening out there in the world of digital. So stay tuned. We do have a little bit more content for you, but, you know, Holger and I could rant all day, but we'll see That's right.

On ConstellationTV <iframe width="560" height="315" src="https://www.youtube.com/embed/BbXcDQWRumg?si=ivG9Ear809KMX3Vt" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>