AI’s Impact on Future Information Ecosystems The proliferation of generative AI technology has ignited a renewed focus within the media industry on how to strategically adapt to its capabilities. Media professionals are now confronted with crucial questions: What are the most effective ways to leverage this technology for efficiency in news production and to enhance
Have you ever wondered how AI agents understand tabular data, such as that in CSV or Excel files? Or how a file loaded into a platform like ChatGPT can be instantly understood and processed? This insight explores the creation of a custom AI agent capable of achieving these tasks from scratch. Context Jen, an AI
Cortex Framework: Integration with Salesforce (SFDC) This insight outlines the process of integrating Salesforce (SFDC) operational workloads into the Cortex Framework Data Foundation. By integrating Salesforce data through Dataflow pipelines into BigQuery, Cloud Composer can schedule and monitor these pipelines, allowing you to gain insights from your Salesforce data. Cortex Framework Integration with Salesforce explained.
AI Agents: Bridging Tool Calling and Reasoning in Generative AI Exploring Problem Solving and Tool-Driven Decision Making in AI Introduction: The Emergence of Agentic AI Recent advancements in libraries and low-code platforms have simplified the creation of AI agents, often referred to as digital workers. Tool calling stands out as a key capability that enhances
Salesforce and SnapLogic integrations couldn’t be easier with the Tray platform’s robust Salesforce and SnapLogic connectors, which can connect to any service without the need for separate integration tools. Salesforce provides customer relationship management service software, and has a complementary suite of enterprise applications as well. These are focused on customer service, marketing automation, analytics,
Simplifying Secure Data Access Across Clouds In today’s data-driven world, secure and prompt access to information is crucial. However, with critical analytics data spread across various cloud vendors, achieving this expediency can be challenging. Cross-cloud zero-copy data sharing doesn’t have to be complex. By leveraging your Autonomous Database, you can swiftly establish secure data sharing
Exploring Large Action Models (LAMs) for Automated Workflow Processes While large language models (LLMs) are effective in generating text and media, Large Action Models (LAMs) push beyond simple generation—they perform complex tasks autonomously. Imagine an AI that not only generates content but also takes direct actions in workflows, such as managing customer relationship management (CRM)
Developer Enhancements Salesforce Flow Enhancements Flow Orchestrator Enhancements How to Access and Use Key Salesforce Features View the Automation Lightning App: Manage Steps in an Orchestration Stage: Customize the Flow Orchestration Work Guide Component: Customize SMS One-Time Password Delivery for Experience Cloud Sites: Control Authenticated Callouts Permissions: Improve Data Transmission Speed and Security with TLS
The Winter ’25 updates and retirements are available through the pre-release program. On August 30, 2024, Sandboxes will be upgraded, providing your organization with the Winter ’25 release experience. Connecting Unified Knowledge to Third-Party SystemsSteps to Implement: Before adding a connector, review the connector requirements in the Zoomin documentation. Then, in Setup, enter “Unified Knowledge”
Neo4j Runway and Healthcare Knowledge Graphs Recently, Neo4j Runway was introduced as a tool to simplify the migration of relational data into graph structures. LLMs Turn CSVs into Knowledge Graphs. According to its GitHub page, “Neo4j Runway is a Python library that simplifies the process of migrating your relational data into a graph. It provides
Significant Changes in Context Windows and Token Costs The first significant change in the AI world is the substantial increase in the context window size and the decrease in token costs. For example, the context window size of the largest model, Claude from Anthropic, exceeds 200,000 tokens. According to the latest news, Gemini’s context window
Function-calling agent models, a significant advancement within large language models (LLMs), encounter challenges in requiring high-quality, diverse, and verifiable datasets. These models interpret natural language instructions to execute API calls crucial for real-time interactions with various digital services. However, existing datasets often lack comprehensive verification and diversity, resulting in inaccuracies and inefficiencies. Overcoming these challenges
Slack for Manufacturing and Automotive Enhance productivity, reduce costs, and provide exceptional experiences with a consolidated perspective of your customer data. Streamline diverse systems, teams, and processes effortlessly through automation. Forge connections with external partners to integrate your entire ecosystem seamlessly. As manufacturing, automotive, and energy organizations transition to developing new powertrains and digital products
Einstein Web Recommendations leverage Einstein’s capabilities to analyze user behavior, construct preference profiles, and deliver personalized content tailored to each website visitor. Utilize application scenarios to fine-tune recommendations according to your specific business rules. Web Recommendations are provided through two methods: a JSON response or HTML/JS. While the JSON response is the recommended delivery method
Manage users more easily with the user access, public group, permission set, and permission set group summaries. Give record page users more of what they need where and when they need it with Lightning record page enhancements such as blank space support and visibility rules on individual tabs. Summer 24 Salesforce Customization Release Notes. Like
