Tableau’s first generative AI assistant is now generally available. Generative AI for Tableau brings data prep to the masses. Earlier this month, Tableau launched its second platform update of 2024, announcing that its first two GenAI assistants would be available by the end of July, with a third set for release in August. The first
The modern kill chain is eluding enterprises because they are not adequately protecting the infrastructure of modern business: SaaS. Stay Ahead of SaaS Threats. SaaS continues to dominate software adoption, accounting for the greatest share of public cloud spending. However, enterprises and SMBs alike have not revised their security programs or adopted security tooling designed
Safeguarding Data Privacy and Security in the Digital Age with iDataMasker In today’s digital transformation era, data privacy and security are paramount for organizations worldwide. As cloud-based platforms like Salesforce become integral to business operations, robust solutions to protect sensitive information are essential. iDataMasker for Salesforce FinTech powers security in Salesforce banking solutions. Introducing iDataMasker
Databricks unveiled Databricks LakeFlow last week, a new tool designed to unify all aspects of data engineering, from data ingestion and transformation to orchestration. What is Databricks LakeFlow? According to Databricks, LakeFlow simplifies the creation and operation of production-grade data pipelines, making it easier for data teams to handle complex data engineering tasks. This solution
Databricks Introduces LakeFlow: Simplifying Data Engineering Databricks, the Data and AI company, yesterday announced the launch of Databricks LakeFlow, a new solution designed to unify and simplify all aspects of data engineering, from data ingestion to transformation and orchestration. LakeFlow enables data teams to efficiently ingest data at scale from databases like MySQL, Postgres, and
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
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
It’s hard to believe that ChatGPT is only a year old. The number of exciting new product launches over the past 12 months has been astonishing — and there’s no sign of slowing down. In fact, quite the opposite. Earlier in November, OpenAI hosted DevDay, where the company announced extensive offerings across B2C and B2B
Salesforce AI and CRM Evolution Salesforce has long been a leader in customer relationship management (CRM) by pioneering cloud technologies. Recently, the platform has significantly advanced with the integration of generative artificial intelligence (AI) and AI-powered features, thanks to its Einstein technology. Einstein in Salesforce is like a super smart computer overseeing and analyzing the
It All Begins with Strategy A robust AI strategy is the cornerstone of successful AI implementation. It provides clarity on vision, purpose, short and long-term goals, and necessary steps for the entire organization. Rooted in data, this strategy should include measurable objectives and KPIs to foster seamless collaboration across teams. As with any strategic initiative,
Understanding Cloud Analytics Cloud analytics refers to leveraging cloud computing resources to conduct data analysis more efficiently. It involves using advanced analytical tools to extract insights from vast datasets, presenting information in a user-friendly format accessible via web browsers. Core Concepts of Cloud Analytics Explained Cloud analytics shifts traditional data analytics operations, such as processing
What is a Salesforce Data Dictionary? A Salesforce data dictionary functions as a comprehensive repository containing names, attributes, and descriptions of data objects or business logic within a data model. Its primary purpose is to ensure consistency in the terminology used by business users or stakeholders, particularly regarding type/category, such as personally identifiable information (PII).
Aware of the escalating significance of data protection in the digital age, customers are becoming increasingly vigilant about safeguarding their personal information. However, amidst this heightened awareness, companies have an opportunity to earn and maintain trust by providing clear and transparent explanations of how they intend to use customer data. Gone are the days when
The landscape of Salesforce has undergone significant growth beyond its humble CRM origins, yet assumptions about the data within Salesforce orgs often remain unchanged. This is crazy when you think about the original Customer Relationship Management system and how many apps it had to connect to in order to actually manage your customer relationships. Protecting your
