Salesforce Data Cloud Archives - gettectonic.com - Page 2
Informed Decision-Making

Informed Decision-Making

Informed Decision-Making Through Data Visualization: Power BI vs. Tableau Today’s businesses need to make informed decisions by leveraging organized and analyzed data. Data visualization is a key method for extracting insights from this data, and Power BI and Tableau are two leading tools that often spark debate among experts. Both are highly regarded for their ability to visualize data, and CTOs frequently compare Power BI vs. Tableau to determine the best fit for their needs. Why Power BI and Tableau Stand OutBoth tools excel at data visualization, making them top choices for business intelligence (BI) solutions. They offer seamless integration with various platforms, can handle large volumes of data, and provide predictive analytics capabilities. To help CTOs and other decision-makers boost efficiency, let’s dive into a comparison of Power BI vs. Tableau and examine how each tool measures up. Power BI Microsoft’s Power BI is a leading BI tool designed to transform data from diverse sources into insightful visual reports. It allows users to create, share, and manage analytical reports, ensuring accessibility at all times. As part of the Microsoft ecosystem, Power BI is ideal for large organizations that already use Microsoft products. Tableau Tableau delivers powerful data visualization with flexible deployment options, allowing users to seamlessly access insights. With its integration into Salesforce Data Cloud, Tableau offers a fast and scalable way to work with customer data in real time. Its strong data-handling capabilities make it popular among larger organizations and data experts. Power BI vs. Tableau: Key Differences Let’s explore the key differences between Power BI and Tableau to guide your informed decision-making. Data Visualization and User Interface Data Integration and Connectivity for Informed Decision-Making Data Handling and Performance Ease of Learning Programming Tools Support Pricing Microsoft Power BI vs. Salesforce Tableau: Pros and Cons Power BI Pros Tableau Pros Which is Better: Power BI or Tableau? When comparing Microsoft Power BI vs. Tableau, the right choice depends on your organization’s size, technical expertise, and specific needs. For smaller businesses and those already using Microsoft tools, Power BI is often the best fit. On the other hand, larger organizations managing substantial datasets might favor Tableau for its advanced capabilities. Ultimately, the decision between Power BI vs. Tableau should be based on your unique business requirements and the level of technical expertise available within your team. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

Read More
Transform Customer Experience

Transform Customer Experience

In today’s AI-driven business environment, customer experience (CX) has evolved from being a buzzword to a critical factor in determining success. It’s no longer enough for businesses to offer high-quality products or excellent service alone—today’s customers are always online, engaged, and seeking the most convenient, relevant, and enjoyable experiences. This is where Salesforce Data Cloud becomes a game-changer, providing the tools needed to meet modern customer expectations. Transforming Customer Experience with Salesforce Data Cloud Salesforce enables businesses to collect, integrate, and leverage critical customer information within its ecosystem, offering an all-encompassing view of each customer. This unified customer data allows organizations to forecast visitor trends, assess marketing impact, and predict customer behavior. As data-driven decision-making becomes increasingly central to business strategy, Salesforce Data Cloud and its Customer Data Platform (CDP) features provide a significant competitive edge—whether in e-commerce, fintech, or B2B industries. Data Cloud is more than just your traditional CDP. It’s the only data platform native to the world‘s #1 AI CRM. This means that marketers can quickly access and easily action on unified data – from across the entire business – to drive growth and increase customer lifetime value. Data Cloud’s Role in Enhancing CX By unifying data in one place, Salesforce Data Cloud enables organizations to access real-time customer insights. This empowers them to track customer activity across channels like email, social media, and online sales, facilitating targeted marketing strategies. Businesses can analyze customer behavior and deliver personalized messaging, aligning marketing, sales, and customer service efforts to ensure consistency. With these capabilities, Salesforce customers can elevate the CX by delivering the right content, at the right time, to the right audience, ultimately driving customer satisfaction and growth. New Features of Salesforce Data Cloud Salesforce continues to evolve, introducing cutting-edge features that reshape customer interaction: To fully maximize these features, partnering with a Salesforce Data Cloud consultant can help businesses unlock the platform’s full potential and refine their customer engagement strategies. Agentic AI Set to Supercharge Business Processes Salesforce’s vision extends beyond customer relationship management with the integration of Agentic AI through its Customer 360 platform. According to theCUBE Research analysts, this signals a shift toward using AI agents to automate complex business processes. These AI agents, built on Salesforce’s vast data resources, promise to revolutionize how companies operate, offering customized, AI-driven business tools. “If they can pull this off, where it becomes a more dynamic app platform, more personalized, really focused on those processes all the way back to the data, it’s going to be a clear win for them,” said Strechay. “They’re sitting on cloud; they’re sitting on IaaS. That’s a huge win from that perspective.” AI agents create a network of microservices that think and act independently, involving human intervention only when necessary. This division of labor allows businesses to capture expertise in routine tasks while freeing human workers to focus on more complex decision-making. However, the success of these AI agents depends on access to accurate and reliable data. As Gilbert explained, “Agents can call on other agents, and when they’re not confident of a step in a process or an outcome, they can then bounce up to an inbox for a human to supervise.” The goal isn’t to eliminate humans but to capture their expertise for simpler processes. Empowering Developers and Citizen Creators At the core of this AI-driven transformation is Salesforce’s focus on developers. The platform’s low-code tools allow businesses to easily customize AI agents and automate business processes, empowering both experienced developers and citizen creators. With simple language commands or goal-setting, companies can build and train these AI agents, streamlining operations. “It’s always going to be about good data—that’s the constant,” Bertrand said. “The second challenge is how to train agents and humans to work together effectively. While some entry-level jobs may be replaced, AI will continue to evolve, creating new opportunities in the future.” Is Salesforce Data Cloud the Right Fit for Your Business? Salesforce Data Cloud offers comprehensive capabilities for businesses of all sizes, but it’s essential to assess whether it aligns with your specific needs. The platform is particularly valuable for: For businesses that fit these scenarios, working with Salesforce’s partner ecosystem or a Data Cloud consultant can help ensure successful integration and optimization. What’s New in Salesforce’s Latest Release? The latest Salesforce Spring Release introduced several exciting features, further enhancing Salesforce Data Cloud: These updates reflect Salesforce’s commitment to providing innovative, data-driven solutions that enhance customer experiences and drive business success. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

Read More
Amazon DynamoDB to Salesforce Data Cloud

Amazon DynamoDB to Salesforce Data Cloud

Ingesting Data from Amazon DynamoDB to Salesforce Data Cloud Salesforce Data Cloud serves as your organization’s digital command center, enabling real-time ingestion, unification, and activation of data from any source. By transforming scattered customer information into actionable insights, it empowers businesses to operate with unparalleled efficiency. Integrating Amazon DynamoDB with Salesforce Data Cloud exemplifies the platform’s capacity to unify and activate enterprise data seamlessly. Follow this step-by-step guide to ingest data from Amazon DynamoDB into Salesforce Data Cloud. Prerequisites Part 1: Amazon DynamoDB Setup 1. AWS Account Setup 2. Create a DynamoDB Table 3. Populate the Table with Data 4. Security Credentials Part 2: Salesforce Data Cloud Configuration 1. Creating the Data Connection 2. Configuring Data Streams Create a New Data Stream Configure the Data Model 3. Data Modeling and Mapping Custom Object Creation Conclusion After completing the setup: This integration underscores Salesforce Data Cloud’s role as a centralized hub, capable of harmonizing diverse data sources, ensuring real-time synchronization, and enabling actionable insights. By connecting Amazon DynamoDB, businesses can unlock the full potential of their data, driving better decision-making and customer experiences. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

Read More
Nvidia and Salesforce

Nvidia and Salesforce

Salesforce and Nvidia have announced a groundbreaking collaboration to push the boundaries of AI, transforming both customer and employee experiences. Redefining AI in Enterprise Software As businesses worldwide face the complexities and costs of integrating AI into their operations, Salesforce and Nvidia are stepping in with a strategic partnership designed to redefine AI capabilities. This collaboration merges Salesforce’s extensive CRM and enterprise software expertise with Nvidia’s advanced AI and high-performance computing technologies. The goal is to create a new generation of AI agents and avatars that can operate autonomously, grasp complex business contexts, and engage with humans in a more natural, intuitive manner. Marc Benioff, Chair and CEO of Salesforce, states: “Together with Nvidia, we’re spearheading the third wave of the AI revolution—moving beyond copilots to a seamless integration of humans and intelligent agents driving customer success.” Enhancing Salesforce’s Platform The partnership focuses on integrating Nvidia’s accelerated computing and AI software to enhance Salesforce’s platform performance. Key to this effort is the optimization of Salesforce Data Cloud, which harmonizes structured and unstructured customer data in real time. Nvidia’s full-stack accelerated computing platform will significantly increase compute resources, leading to faster insights and improved AI performance across Salesforce’s offerings. AI-Powered Avatars and Beyond A major innovation from this collaboration is the development of AI-powered avatars. By combining Nvidia ACE, a suite of digital human technologies, with Salesforce’s new Agentforce platform, the companies aim to create more engaging, human-like experiences for interactions with customers and employees. These avatars will leverage multi-modal AI models for speech recognition, text-to-speech, and contextual visual responses, potentially revolutionizing business communication. Nvidia founder and CEO Jensen Huang envisions a future where “every company, every job will be enhanced by a wide range of AI agents—assistants that will transform how we work.” He adds, “Nvidia and Salesforce are uniting our technologies to accelerate the development of AI agents, supercharging productivity for companies.” Transforming Business Operations The Salesforce-Nvidia partnership is more than a technological alliance; it’s a strategic move to meet the increasing demand for AI-driven enterprise solutions. The collaboration positions both companies at the forefront of the AI revolution in enterprise software, aiming to reshape how businesses interact with customers and manage their operations. Key facts include: Real-World Applications The potential applications of this technology are extensive. For example: Looking Ahead As Salesforce and Nvidia’s partnership unfolds, it promises not only technological advancements but a fundamental shift in how businesses leverage AI for growth, efficiency, and customer satisfaction. Marc Benioff highlights the potential: “By combining Nvidia’s AI platform with Agentforce, we’re amplifying AI performance and creating dynamic digital avatars, delivering more engaging, intelligent, and immersive customer experiences than ever before.” This collaboration is set to lead the third wave of the AI revolution, integrating humans and intelligent agents to drive unprecedented customer success. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

Read More
dbt Labs and Salesforce

dbt Labs and Salesforce

dbt Labs, a leader in analytics engineering, announced at Coalesce 2024 a groundbreaking partnership with Salesforce to integrate Salesforce Data Cloud’s AI, automation, and analytics capabilities with dbt Labs’ expertise in data transformation and metrics management. This collaboration aims to deliver a seamless, trustworthy, and comprehensive data experience for users. “Together, Salesforce and dbt Labs are redefining what’s possible with data,” said Ryan Segar, Chief Customer Officer at dbt Labs. “By integrating our solutions, we’re helping customers accelerate their analytics development journey, delivering powerful, flexible data insights that drive better business outcomes.” The partnership offers Salesforce Data Cloud, Tableau, and Agentforce users access to dbt Labs’ robust data transformation pipeline, ensuring high data accuracy, quality, and reliability. An independent metrics layer from dbt Labs will allow Salesforce and Tableau users to define, manage, and standardize key business metrics, providing consistent and comparable insights across platforms. This supports confident, data-driven decision-making directly within the flow of work. New integrations include the ability to connect dbt Semantic Layer with Tableau Pulse, export metrics from dbt Cloud to Tableau Cloud, and leverage dbt models within Tableau and Einstein. Future integrations will explore features such as alignment with Tableau Semantics and enabling instant Tableau analytics from the dbt Cloud console. Ali Tore, Senior Vice President of Advanced Analytics at Salesforce, emphasized the benefits of this collaboration: “By combining the strengths of dbt with Salesforce Data Cloud, we’re empowering customers with AI-powered insights built on a foundation of trusted, reliable data. This integration unlocks the full potential of their data to drive impactful business outcomes.” With over 50,000 teams already using dbt, Salesforce customers can now leverage advanced data modeling techniques trusted by leading global organizations. This partnership offers scalable, robust data modeling directly within Salesforce Data Cloud, benefiting both technical and non-technical users alike. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

Read More
Coveo and Salesforce Data Cloud

Coveo and Salesforce Data Cloud

Coveo Integrates with Salesforce Data Cloud for Enhanced Data Access Coveo has officially integrated with Salesforce Data Cloud, providing companies with improved access to a broad range of data across the Salesforce ecosystem. This integration enhances the capabilities of Salesforce’s Service Cloud, Commerce Cloud, and Experience Cloud by offering secure access to a wide array of enterprise data sources and engagement data from Coveo-powered search experiences. By leveraging Coveo’s advanced indexing and security features, the integration enables enterprises to seamlessly inject external content into Salesforce experiences through Data Cloud. It also delivers comprehensive analytics across both platforms, allowing businesses to track interactions and touchpoints more effectively. “Coveo has worked closely with Salesforce on a global scale for over a decade,” said Laurent Simoneau, president and CTO of Coveo. “The integration of Coveo with Salesforce creates a powerful synergy, particularly beneficial for large enterprises with complex content ecosystems. Coveo’s robust indexing and relevance capabilities, combined with Salesforce Data Cloud, provide secure access to external data sources, boosting performance and delivering added value across all Salesforce Clouds. This integration sets a new standard for unifying enterprise data and elevating the customer experience.” Kishan Chetan, executive vice president and general manager of Service Cloud at Salesforce, emphasized the impact on service interactions: “Providing precise answers during service interactions is crucial for reducing service costs and improving customer satisfaction, especially for large enterprises managing vast amounts of content and diverse customer bases. Coveo’s ability to connect to extensive content sources and enhance relevance is a key enabler for enterprises with complex search needs in Service Cloud.” Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

Read More
Salesforce Data Cloud and Zero Copy

Salesforce Data Cloud and Zero Copy

As organizations across industries gather increasing amounts of data from diverse sources, they face the challenge of making that data actionable and deriving real-time insights. With Salesforce Data Cloud and zero copy architecture, organizations can streamline access to data and build dynamic, real-time dashboards that drive value while embedding contextual insights into everyday workflows. A session during Dreamforce 2024 with Joanna McNurlen, Principal Solution Engineer for Data Cloud at Salesforce, discussed how zero copy architecture facilitates the creation of dashboards and workflows that provide near-instant insights, enabling quick decision-making to enhance operational efficiency and competitive advantage. What is zero copy architecture?Traditionally, organizations had to replicate data from one system to another, such as copying CRM data into a data warehouse for analysis. This approach introduces latency, increases storage costs, and often results in inconsistencies between systems. Zero copy architecture eliminates the need for replication and provides a single source of truth for your data. It allows different systems to access data in its original location without duplication across platforms. Instead of using traditional extract, transform, and load (ETL) processes, systems like Salesforce Data Cloud can connect directly with external databases, such as Google Cloud BigQuery, Snowflake, Databricks, or Amazon Redshift, for real-time data access. Zero copy can also facilitate data sharing from within Salesforce to other systems. As Salesforce expands its zero copy partner network, opportunities to easily connect data from various sources will continue to grow. How does zero copy work?Zero copy employs virtual tables that act as blueprints for the data structure, enabling queries to be executed as if the data were local. Changes made in the data warehouse are instantly visible across all connected systems, ensuring users always work with the latest information. While developing dashboards, users can connect directly to the zero copy objects within Data Cloud to create visualizations and reports on top of them. Why is zero copy beneficial?Zero copy allows organizations to analyze data as it is generated, enabling faster responses, smarter decision-making, and enhanced customer experiences. This architecture reduces reliance on data transformation workflows and synchronizations within both Tableau and CRM Analytics, where organizations have historically encountered bottlenecks due to runtimes and platform limits. Various teams can benefit from the following capabilities: Unlocking real-time insights in Salesforce using zero copy architectureZero copy architecture and real-time data are transforming how organizations operate. By eliminating data duplication and providing real-time insights, the use of zero copy in Salesforce Data Cloud empowers organizations to work more efficiently, make informed decisions, and enhance customer experiences. Now is the perfect time to explore how Salesforce Data Cloud and zero copy can elevate your operations. Tectonic, a trusted Salesforce partner, can help you unlock the potential of your data and create new opportunities with the Salesforce platform. Connect with us today to get started. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

Read More
Salesforce Einstein Copilot Security

Salesforce Einstein Copilot Security

Salesforce Einstein Copilot Security: How It Works and Key Risks to Mitigate for a Safe Rollout With the official rollout of Salesforce Einstein Copilot, this conversational AI assistant is set to transform how sales, marketing, and customer service teams interact with both customers and internal documentation. Einstein Copilot understands natural language queries, streamlining daily tasks such as answering questions, generating insights, and performing actions across Salesforce to boost productivity. Salesforce Einstein Copilot Security However, alongside the productivity gains, it’s essential to address potential risks and ensure a secure implementation. This Tectonic insight covers: Einstein Copilot Use Cases Einstein Copilot enables users to: All of these actions can be performed with simple, natural language prompts, improving efficiency and outcomes. How Einstein Copilot Works Here’s a simplified breakdown of how Einstein Copilot processes prompts: The Einstein Trust Layer Salesforce has built the Einstein Trust Layer to ensure customer data is secure. Customer data processed by Einstein Copilot is encrypted, and no data is retained on the backend. Sensitive data, such as PII (Personally Identifiable Information), PCI (Payment Card Information), and PHI (Protected Health Information), is masked to ensure privacy. Additionally, the Trust Layer reduces biased, toxic, and unethical outputs by leveraging toxic language detection. Importantly, Salesforce guarantees that customer data will not be used to train the AI models behind Einstein Copilot or be shared with third parties. The Shared Responsibility Model Salesforce’s security approach is based on a shared responsibility model: This collaborative model ensures a higher level of security and trust between Salesforce and its customers. Best Practices for Securing Einstein Copilot Rollout Prepare Your Salesforce Org for Einstein Copilot To ensure a smooth rollout, it’s critical to assess your Salesforce security posture and ready your data. Tools like Salesforce Shield can help organizations by: By following these steps, you can utilize the power of Einstein Copilot while ensuring the security and integrity of your data. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

Read More
Dreamforce 24 Insights

Dreamforce 24 Insights

Three Key Insights You Might Have Missed from Dreamforce ’24 In today’s digital-driven world, interconnected systems are commonplace and essential, making platform integration and unified operations critical. As AI becomes more central, technologies like Salesforce Agentforce AI are drawing increased attention. At Dreamforce ’24, automation and AI were the event’s stars, particularly Salesforce’s plans for Agentforce AI. Dreamforce 24 Insights. Here are three key insights from Dreamforce ’24 that you might have missed: 1. Salesforce’s Automation Plans Could Reshape Its Future Salesforce has a solid reputation for business automation, but now, with agentic systems entering the picture, the company is looking at a transformative opportunity. John Furrier of theCUBE noted during Dreamforce, “Salesforce is positioned to use generative AI to simplify complexity and reduce the steps required to get things done.” As Salesforce integrates generative AI, the emphasis on securing and utilizing data becomes paramount. Christophe Bertrand of theCUBE pointed out that many organizations are not fully utilizing their data. The introduction of Agentforce AI, which aims to leverage this untapped potential, could bring automation to new heights and fundamentally transform how businesses operate. 2. Salesforce Agentforce AI Aims to Integrate Seamlessly Into Business Workflows A major focus of Dreamforce was Salesforce’s new AI offering—Agentforce. According to Muralidhar Krishnaprasad, Salesforce’s CTO, this represents the next stage of AI for the company. While earlier efforts focused on predictive AI (Einstein) and generative AI copilots, Agentforce moves toward more autonomous AI agents. “Our platform will be one of the most comprehensive for agent development,” Krishnaprasad explained. He highlighted that Agentforce will allow businesses to deploy AI agents across various functions—advertising, sales, service, and analytics—creating a seamless AI-driven ecosystem within the Salesforce platform. David Schmaier, president and CPO of Salesforce, added that Agentforce will transform customer interactions by integrating AI agents with Salesforce Data Cloud to deliver more personalized and efficient experiences. 3. Strategic Partnerships Are Streamlining Business and Enhancing Customer Solutions At Dreamforce, partnerships played a key role in Salesforce’s strategy for the future. A collaboration between Salesforce and AWS is streamlining procurement for joint customers through AWS Marketplace. This partnership allows companies to optimize their spend management and simplify the purchasing process for Salesforce products. IBM is also leveraging Agentforce to drive new outcomes through watsonx Orchestrate, as Nick Otto, IBM’s head of global strategic partnerships, explained. Automation and orchestration have been focal points for both IBM and Salesforce. Another partnership with Canva showcased AI-driven data autofill capabilities that integrate with Salesforce CRM. This allows sales teams to create personalized presentations at scale, automating workflows and increasing efficiency, as noted by Canva’s Chief Customer Officer, Rob Giglio. These insights from Dreamforce ’24 highlight the growing importance of AI, automation, and strategic partnerships in shaping the future of business operations with Salesforce at the forefront. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

Read More
Salesforce and IBM Partnership

Salesforce and IBM Partnership

Salesforce and IBM are advancing their longstanding partnership by focusing on transforming sales and service processes with AI, particularly for organizations in regulated industries that seek to leverage enterprise data for automation. The collaboration aims to deliver pre-built AI agents and tools that integrate seamlessly within customers’ IT environments, enabling them to use their proprietary data while maintaining full control over their systems. By merging Salesforce’s Agentforce, a suite of autonomous agents, with IBM’s watsonx capabilities, the partnership will empower businesses to utilize AI agents within their daily applications. IBM’s watsonx Orchestrate will enhance Agentforce with autonomous agents that improve productivity, security, and regulatory compliance. Additionally, IBM customers will have the ability to interact with these agents via Slack, facilitating dynamic conversational experiences. Planned integrations between Salesforce Data Cloud and IBM Data Gate for watsonx will enable access to business data from IBM Z mainframes and Db2 databases, supporting AI workflows across the Agentforce platform. This integration will enhance data analysis and fuel AI-driven processes. Customers will also benefit from a broader range of AI model and deployment options through integration with IBM watsonx.ai. This will include access to IBM’s Granite foundation models, designed for enterprise applications. Enhancing Business Automation with Tailored Autonomous Agents Through the Agentforce Partner Network, businesses can develop and customize AI agents to interact with various enterprise tools and platforms. These agents are designed to perform multi-step tasks, make decisions based on triggers or interactions, and seek user approval for actions beyond their scope. They will help automate routine tasks, increase efficiency, streamline operations, and enhance customer service. IBM’s watsonx Orchestrate will integrate with Salesforce Agentforce to develop new pre-built agents for specific business challenges. These agents will leverage data and AI from both Salesforce and IBM to address various needs: Expanding Data Integration for AI Salesforce and IBM are also advancing data integration strategies through the Zero Copy integration between Salesforce Data Cloud and watsonx.data. This allows data to remain in place while being utilized for AI use cases, without duplication. Joint customers, particularly in financial services, insurance, manufacturing, and telecommunications, will leverage this integration to access and use mainframe datasets from IBM Z and Db2 databases on Salesforce’s platform. IBM will be the first Zero Copy partner to facilitate data flow between IBM Z and Salesforce Cloud, offering secure access to critical enterprise data and enhancing AI agent functionality. With IBM Z handling over 70% of global transaction value, this partnership ensures high standards of security, privacy, and compliance. Improving Efficiency with Slack and IBM watsonx Orchestrate IBM customers will now engage with watsonx Orchestrate agents directly within Slack, supporting AI app experiences with a new interface. This integration allows for seamless interaction with AI agents, automating tasks and enhancing collaboration across systems without leaving Slack. Expanding AI Model and Deployment Options with watsonx.ai A new integration with watsonx.ai will enable customers to deploy customized large language models (LLMs) within Salesforce Model Builder. This includes access to a range of third-party models and IBM’s Granite foundation models, which offer transparency and compliance with regulatory requirements. IBM Granite models are expected to be available within the Salesforce ecosystem by October. Partnering with IBM Consulting for Tailored AI Solutions IBM Consulting will leverage its expertise in Salesforce and AI to help joint customers accelerate the implementation of Agentforce. Through IBM Consulting Advantage, the AI-powered delivery platform, businesses will receive support in selecting, customizing, deploying, and scaling AI agents to meet specific industry needs. Customer Perspective Tectonic is transforming its service stations into preferred journey stops with the help of Salesforce and IBM. The collaboration offers unprecedented flexibility in AI utilization, enabling Tectonic to deliver hyper-personalized services through Agentforce and IBM’s watsonx AI, enhancing customer engagement and satisfaction. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

Read More
gettectonic.com