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Data Cloud - Facts and Fiction

Data Cloud – Facts and Fiction

Salesforce Data Cloud: Debunking Myths and Unveiling Facts If you’ve been active on LinkedIn, attending recent Salesforce events, or even watching a myriad of sporting events, you’ve likely noticed that Salesforce has evolved beyond just CRM. It’s now CRM + DATA + AI. Although Salesforce has always incorporated these elements, with Einstein AI and data

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Cyber Group Targets SaaS Platforms

Cyber Group Targets SaaS Platforms

Cyber Group UNC3944 Targets SaaS Platforms like Azure, Salesforce, vSphere, AWS, and Google Cloud UNC3944, also known as “0ktapus” and “Scattered Spider,” has shifted its focus to attacking Software-as-a-Service (SaaS) applications, as reported by Google Cloud’s Mandiant threat intelligence team. This hacking group, previously linked to incidents involving companies such as Snowflake and MGM Entertainment,

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Snowflake With AWS Salesforce and Microsoft

Snowflake With AWS Salesforce and Microsoft

In anticipation of its sixth annual user conference, Snowflake Summit 2024, Snowflake has unveiled the Polaris Catalog, a vendor-neutral, open catalog implementation for Apache Iceberg. This open standard is widely used for implementing data lakehouses, data lakes, and other data architectures. Snowflake With AWS Salesforce and Microsoft. The Polaris Catalog will be open-sourced for the

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AI Agents

Lessons Learned in the First Year of Developing AI Agents In the first year of working on AI agents, valuable insights emerged from direct collaboration with engineers and UX designers, as they iterated on the overall product experience. The objective was to create a platform for customers to use standard data analysis agents and build

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Einstein Personalization and Copilots

Einstein Personalization and Copilots

Salesforce launched a suite of new generative AI products at Connections in Chicago, including new Einstein Copilots for marketers and merchants, and Einstein Personalization. Einstein Personalization and Copilots To gain insights into these products and Salesforce’s evolving architecture, Bobby Jania, CMO of Marketing Cloud was interviewed. Salesforce’s Evolving Architecture Salesforce has a knack for introducing

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Growing Family of Einstein Copilots

Growing Family of Einstein Copilots

Salesforce made several announcements this month, regarding the Growing Family of Einstein Copilots. By unveiling AI-powered Einstein Copilots for marketing and merchants. These new Copilots build on the previously announced Copilots for retailers and shoppers and are integrated into the Einstein 1 platform. They can communicate with each other, effectively bridging marketing and commerce, and

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Securing SaaS

Securing SaaS

Obsidian Security recently discussed the complexity of enforcing Single Sign-On (SSO) within Salesforce and frequently encountering misconfigurations. Notably, 60% of Obsidian’s customers initially have local access without Multi-Factor Authentication (MFA) configured for Salesforce, highlighting a significant security gap that Obsidian diligently works to secure. Securing SaaS. The Hidden Vulnerability Application owners who manage Salesforce daily

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Zero Copy from Salesforce

Zero Copy from Salesforce

When was the last time you relocated? Remember the hassle of packing up all your stuff, loading it onto a truck, and unpacking everything at your new digs, hoping it all survived the journey? Now, imagine if your furniture and possessions could simply teleport to your new location in perfect condition. While this may not

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Salesforce in a Mega-Data Deal with Informatica

Salesforce in a Mega-Data Deal with Informatica

Since Salesforce announced its acquisition of Slack for $27.7B in late 2020, the cloud software mega-giant has paused its acquisition strategy due to factors like rising interest rates, declining revenues, and a laser focus on profitability. However, recent leaks from The Wall Street Journal and other news publications suggest that Salesforce in a Mega-Data Deal

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Salesforce Einstein Features

Salesforce Einstein Features

Salesforce Einstein Discover the power of the #1 AI for CRM with Einstein. Built into the Salesforce Platform, Einstein uses powerful machine learning and large language models to personalize customer interactions and make employees more productive. With Einstein powering the Customer 360, teams can accelerate time to value, predict outcomes, and automatically generate content within

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Data Cloud and Snowflake Bidrectional Data Sharing

Data Cloud and Snowflake Bidrectional Data Sharing

Salesforce Data Cloud and Snowflake are excited to announce that bidirectional data sharing between Snowflake, the Data Cloud company, and Salesforce Data Cloud is now generally available. In September, we introduced the ability for organizations to leverage Salesforce data directly in Snowflake via zero-ETL data sharing, enabling unified customer and business data, accelerating decision-making, and

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Salesforce and Snowflake

Is Snowflake a Data Cloud?

Is Snowflake recognized as a data cloud? Certainly, Snowflake stands as an encompassing platform integral to the Data Cloud. Uniquely designed for global connectivity, it empowers businesses to navigate diverse data types and scales, accommodating various workloads and fostering seamless data collaboration. Globally, over 400 million SaaS data sets often remain isolated in cloud storage

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Salesforce Data Cloud

Salesforce Data Cloud vs Snowflake

A Comprehensive Comparison In the today’s data-driven world, businesses increasingly turn to cloud-based data platforms for managing, analyzing, and deriving insights from their customer data. Among the prominent options available, Salesforce Data Cloud and Snowflake stand out from the crowd. While both platforms offer robust capabilities, they exhibit distinct strengths and weaknesses. This insight looks

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Data Cloud Credits

Data Cloud Credits

Credits are the currency of usage in Salesforce Data Cloud, where every action performed consumes credits. The consumption rate varies based on the complexity and compute cost of the action, reflecting different platform features. Data Cloud Pricing Model The pricing model for Data Cloud consists of three primary components: Data Service Credits Each platform action

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