News from the AI & ML world
DeeperML - #salesforceai
|
@zdnet.com
//
Salesforce is tackling the challenge of "jagged intelligence" in AI, aiming to enhance the reliability and consistency of enterprise AI agents. The company's AI Research division has introduced new benchmarks, models, and guardrails designed to make these agents more intelligent, trusted, and versatile for business applications. This initiative seeks to bridge the gap between an AI system's potential intelligence and its ability to perform consistently in unpredictable real-world enterprise environments. Salesforce is focusing on "Enterprise General Intelligence" (EGI), which prioritizes consistency alongside capability for AI agents in complex business settings.
Salesforce AI Research is addressing AI's inconsistency problem by introducing the SIMPLE dataset, a public benchmark with 225 reasoning questions to measure the "jaggedness" of AI systems. They have also introduced ContextualJudgeBench, which evaluates an agent’s ability to maintain accuracy and faithfulness in context-specific answers, emphasizing factual correctness and the ability to abstain from answering when appropriate, especially in sensitive fields like law, finance, and healthcare. These tools are essential for diagnosing and mitigating the erratic behavior of AI agents across tasks of similar complexity. A recent Salesforce survey of 2,552 U.S. consumers reveals a growing acceptance of AI agents, with roughly half (53%) wanting AI to simplify complex information. Furthermore, Salesforce is expanding its Trust Layer with new safeguards, including the SFR-Guard model family, to detect prompt injections, toxic outputs, and hallucinations in both open-domain and CRM-specific data. Overall, the survey makes it clear that AI agents are already starting to have a societal impact. Recommended read:
References :
@Salesforce
//
Salesforce is enhancing its security operations by integrating AI agents into its security teams. These AI agents are becoming vital force multipliers, automating tasks that previously required manual effort. This automation is leading to faster response times and freeing up security personnel to focus on higher-value analysis and strategic initiatives, ultimately boosting the overall productivity of the security team.
The deployment of agentic AI in security presents unique challenges, particularly in ensuring data privacy and security. As businesses increasingly adopt AI to remain competitive, concerns arise regarding data leaks and accountability. Dr. Eoghan Casey, Field CTO at Salesforce, emphasizes the shared responsibility in building trust into AI systems, with providers maintaining a trusted technology platform and customers ensuring the confidentiality and reliability of their information. Implementing safety guardrails is crucial to ensure that AI agents operate within technical, legal, and ethical boundaries, safeguarding against undesirable outcomes. At RSA Conference 2025, SecAI, an AI-enriched threat intelligence company, debuted its AI-native Investigator platform designed to solve the challenges of efficient threat investigation. The platform combines curated threat intelligence with advanced AI techniques for deep information integration, contextual security reasoning, and suggested remediation options. Chase Lee, Managing Director at SecAI, stated that the company is reshaping what's possible in cyber defense by giving security teams superhuman capabilities to meet the scale and speed of modern threats. This AI-driven approach streamlines the investigation process, enabling analysts to rapidly evaluate threats and make confident decisions. Recommended read:
References :
Ken Yeung@Ken Yeung
//
References:
Ken Yeung
, Salesforce
,
Salesforce research indicates a rising consumer interest in AI agents that extends beyond mere productivity tools. Everyday users are increasingly eager to utilize AI agents for personalized support in their daily lives, highlighting a significant opportunity for businesses. The study has identified four key consumer personas, including "Smarty Pants," "Minimalists," "Life-Hackers," and "Tastemakers," each with distinct expectations and desires regarding AI agent functionalities. This information is crucial for businesses aiming to design AI agents that resonate with their target audiences.
Vala Afshar, Salesforce’s chief digital evangelist, emphasized the asymmetric nature of the AI conversation, noting that while much focus has been placed on business efficiency and optimization, the consumer perspective has been comparatively overlooked. The Salesforce survey of 2,552 U.S. consumers offers compelling insights for organizations looking to inform their product development and marketing strategies. The research reveals that consumers value personalized, proactive, and conversational experiences provided by AI agents. One of the standout findings from the Salesforce report shows that 65% of respondents expressed interest in tools that help them make better decisions and simplify their lives. The "Smarty Pants" persona, representing 43% of respondents, particularly values detailed and well-presented analyses to aid in confident and strategic decision-making. Salesforce’s research underscores the growing importance of the customer experience, suggesting it could become a make-or-break factor for brands as consumers increasingly expect personalized and supportive AI interactions. Recommended read:
References :
Jonathan Kemper@THE DECODER
//
References:
THE DECODER
, MarkTechPost
,
Meta and University of Waterloo researchers have developed MoCha, an AI system capable of generating complete character animations with synchronized speech and natural movements. Unlike previous models that primarily focused on facial animation, MoCha can render full-body movements from various camera angles. This includes lip synchronization, gestures, and interactions between multiple characters.
Early demonstrations of MoCha feature close-up and semi-close-up shots, showcasing the system's ability to generate upper body movements and gestures that align with spoken dialogue. MoCha utilizes a diffusion transformer model with 30 billion parameters to produce HD video clips approximately five seconds long at 24 frames per second. For scenes with multiple characters, users can define characters once and refer to them with simple tags, streamlining the prompting process. Recommended read:
References :
Ryan Daws@Developer Tech News
//
References:
Developer Tech News
, Salesforce
SAP has introduced new generative AI capabilities for its Joule AI assistant, aiming to bolster developer productivity within SAP Build solutions. These enhancements are designed to help developers by automating tedious tasks such as debugging errors and dealing with legacy codebases, thus allowing them to transform ideas into code more quickly. SAP is actively embedding AI capabilities across its Business Suite, which includes SAP Build, application development, and automation solutions tailored for extending and creating bespoke business applications.
We’re thrilled to announce new Joule-powered AI capabilities for SAP Build Process Automation and SAP Build Apps. The latest enhancements introduce Joule-powered AI features to SAP Build Process Automation and SAP Build Apps. These enhancements complement the previously announced AI capabilities inSAP Build CodeandABAP Cloud—empowering developers of all skill levels to build more efficiently by leveraging comprehensive, AI-infused developer tools to deliver precise, contextualized outcomes powered by purpose-built, SAP-centric AI models. The company reports strong adoption of its SAP Build solutions, with over 17,000 customers globally now utilizing the platform to build, automate, and innovate more rapidly. Recommended read:
References :
|
BenchmarksBlogsResearch Tools |