In this fast-evolving GenAI foundational model space, our Salesforce AI Research team has published a great benchmark study on that market. https://lnkd.in/gAy_a8wW
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ActivePrime has found that CRM data that is 80% clean performs well with generative and prescriptive AI applications. Unfortunately, our Data Quality Assessment has never found a customer that reached this threshold after an assessment. The findings range from less than 1% to 72% clean data! Don't risk the success of your Salesforce AI implementation by guessing about your data quality. Find out with ActivePrime’s Data Quality Assessment and start to #askmoreofai! #salesforce #cleandata #ai #crm
Has Implementing AI Been Challenging?
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Generative AI Snapshot Research: The AI Divide: Salesforce Click to know more:- https://lnkd.in/dGe643kR #salesforce #martechcubenews #marketingtechnology #digitalmarketing #technology #marketing #martechcube
Generative AI Snapshot Research: The AI Divide: Salesforce
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RevOps Specialist | Obsessed with CRMs | Unlocking Customer Insights | Driving Growth | Building Recruitment Utopia
No matter how ahh-mazingly efficient or cost-effective an AI model is, a business cannot benefit from it if it can’t trust it. A couple of weeks ago, Salesforce launched an LLM benchmark for gen AI applications in CRM, designed to help businesses choose the best large language models (LLMs) for their needs. It evaluates LLMs on accuracy, cost, speed, and trust. Why am I excited?!? This benchmark will help clear the chaos and enable businesses to make smart, evidence-based decisions. It will evolve, turning the endless options of bespoke models into a simple guide, making it easier to balance speed, capabilities, and trustworthiness. Eventually, AI will autonomously pick the right tool for the job…eeep!! Oh…the possibilities 😍 #CRM #AI #LLM https://lnkd.in/dXGEpqNF
Generative AI Benchmark for CRM | Salesforce AI Research
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#Dreamforce 2023 could be summed up in 4 words: #Trust + #Data + #AI + #CRM. How to apply this to your context? 🚀 DATA If we feed artificial intelligence with bad data, the result will almost certainly be bad. If we feed it average data, the result will more than likely be average. If we feed artificial intelligence with excellent data, the result will definitely be excellent. Tell us, what does your data look like? 🚀 AI Before we can benefit from the leverage effect of artificial intelligence, we will have to learn how to educate it and take advantage of it. Tell us, What will be your first value added thanks to AI? 🚀 CRM It is not just another computer system, it is a centralized source of content and intelligence, mixed with human actors that now positioning itself at the center of any company or public institution. Tell us, what tangible impact will you create tomorrow? #tellus #asugocanada #ai #data #crm #thefutureishere
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Discover the pivotal connection between your Salesforce data quality and the impact on your AI outcomes! 🚀 It's no exaggeration – the implications for your business are substantial. Find out more: https://lnkd.in/g-Wz6nQM #salesforce #salesforcepartner #dataquality #datacleansing #dedupe #datagovernance #ai #aichallenges
Data Quality in Salesforce: The Key to Unleashing AI's Potential
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Principle Business Analyst | Product Owner | CMMI Associate | Digital Transformation | CBAP® | PMI-PBA |IIBA® - CPOA | TOGAF® 9
Business Analysis (BA) and Artificial Intelligence (AI) can mutually enlighten each other. Here's their intersection: 📈Data Gathering & Analysis: BA: Analysts assess business status using techniques like SWOT and PESTEL. AI: It automates voluminous data collection and discovers valuable patterns. 🎯Predictive Analytics: BA: Analyses historical data and industry trends for informed decisions. AI: Enhances accuracy in forecasting sales, customer behavior, and market trends. 🔧Process Improvement: BA: Identifies inefficiencies and suggests enhancements. AI: Automates repetitive tasks and streamlines workflows using tools like Robotic Process Automation (RPA). 👥Customer Insights: BA: Analyzes customer data for bespoke marketing strategies. AI: Deep-dives into vast datasets for customized product/service offerings. 🔍Risk Assessment: BA: Evaluates various risks and formulates mitigation strategies. AI: Identifies potential risks early from real-time data. 🧩Decision Support: BA: Provides data-driven insights to steer strategy, investments, etc. AI: Processes large data volume for accurate, timely decisions. 🍱Personalization: BA: Tailors products/services to customer segments. AI: Delivers hyper-personalized experiences through individual data analysis. In conclusion, AI enriches BA with data-driven insights and automation. This integration fosters informed, efficient, and competitive organizations. #BusinessAnalysis #BACareer #ProfessionalDevelopment #CareerDevelopment #CareerGrowth #CommunityBuilding #AI #Artificial_Intelligence
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