🚀🤠 All right, all right, all right…… "Don't get robbed by bad guy AI." With Salesforce AI, your customer data is protected, ensuring great results without compromising security. 📊🔍 Key insights from our latest "Your Data, Your AI" study: 51% of workers say AI lacks the information needed to be useful. 54% of global workers do not trust the data used to train AI systems. 65% of global C-suite say trust in AI drives revenue. 80% of global C-suite respondents cite accurate and secure data as critical for building trust in AI. AI without trusted AI is going to be a short-term game with a future death sentence.” That’s why Salesforce AI is grounded in trust and security, delivering reliable and useful results every time. 🙌🎬 #SalesforceAI #TrustedAI #MatthewMcConaughey #YourDataYourAI #AIInnovation #DataSecurity #Salesforce
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I'm loving the creativity and fun of this marketing that highlights this important subject. Leveraging AI to drive efficiency and performance is a powerful opportunity for enterprises. However, caution is critical when it comes to data security. That's why picking a trusted technology partner is crucial. #Salesforce #DataSecurity #AI *written by LinkedIn AI
“The Great Data Heist” :60 | Ask More of AI with Matthew McConaughey | Salesforce
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Are you ready to take your field service operations to the next level with AI? Get a solid data foundation in place, and you will be. Contact Endiem, the trusted Salesforce partner, to schedule your free data readiness discovery call. Link in comments. #servicecloud #fieldservice #salesforce #construction #ai #dogoodwork
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Can an AI develop government policies today? Is that a good way to go? The IT giant Salesforce is getting into the business of AI for governments. Actually, it has been in this for some time now. I read about it first a couple years back and didn't know what to feel about it frankly. Today Salesforce says that it now has the technology to help governments on 'Enhancing policy impact assessment' and on detecting 'bias' in decision making. It says that it can help in Policy-Making in this way - "GenAI allows policy-makers to gain a more nuanced understanding of societal challenges which in turn may provide for a more fact-based foundation in making policy" But, isn't the assumption/thought that the elected leader may have a bias in policy making and them not understanding ground reality, a bias in itself? They say that they can Facilitate Citizen Services this way - "When engaging, GenAI can also help citizens to discover service options they previously did not know existed." Interesting, hmm? I still don't know what to feel about this. What are your views? Do you want more posts on this? #ArtificialIntelligence #AI #Technology
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Take a trip into the future where we ask more of AI — and we get more in return. Follow Jordan and her co-workers on a journey to 2030 as they tackle a business challenge with the help of Einstein, unlocking the full potential of AI + Data + CRM + Trust. This is not a product roadmap, but rather a vision grounded in the insights of internal and external experts about real socio-technological possibilities. It’s a world where AI isn’t replacing humans, but is a powerful, trusted partner helping us all make smarter, more values-aligned decisions. #Salesforce #AI
Salesforce 2030: A Glimpse of an AI Future | Salesforce
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Salesforce CEO Marc Benioff expresses concerns regarding the trustworthiness, uses and potential information bias of AI, warning that the world needs to ensure it’s developed safely enough to avoid a “Hiroshima moment.”. After last year’s Bletchley Declaration, where world leaders agreed to form frameworks and standards around how to develop AI safely, the future of AI is looking to head in a positive direction. However, we all know the possibilities and dangers of technology and AI are endless. Benioff’s remarks of an “AI Hiroshima” are concerning, yet entirely possible. Read the full article here: https://lnkd.in/ekxwjkA8 Salesforce Marc Benioff #salesforce #AI #technology
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You don’t need to overhaul your data infrastructure to get AI ready Just because you don’t have state of the art data systems does not mean you are out of the race. All AI needs is the right data, regardless of where it comes from, and every business has that. The key to a successful AI: ✔ Identifying the data your AI needs ✔ Structuring this data for integration ✔ Giving your AI the context it needs to read your data ✔ Ensuring that new business data connects to your AI tool Tick these boxes and your AI is ready to go, no need for fancy infrastructure. What do you feel is stopping your business from implementing AI? Comment below #aireadiness #aistrategy
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Salesforce for Law Firms ⚖️ Helping Law Firms with their Digital Transformation Journey and Client Centricity.
AI is the new Wild West, and everyone has questions about it: Like, what are the bad guys doing with our customer data? How can we keep it from being shared or stolen? What can we do to ensure trusted outputs? That’s why we created Salesforce AI, so you can safely become an AI enterprise. It’s powerful, reliable, and totally private. So your data stays your data. Because if you ask us, there’s one resource that’s even more valuable than data: TRUST. #AskMoreOfAI #AI #Trust #Salesforce
Ask More of AI
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AI is the new Wild West, and everyone has questions about it: Like, what are the bad guys doing with our customer data? How can we keep it from being shared or stolen? What can we do to ensure trusted outputs? That’s why we created Salesforce AI, so you can safely become an AI enterprise. It’s powerful, reliable, and totally private. So your data stays your data. Because if you ask us, there’s one resource that’s even more valuable than data: TRUST. Ask more of AI: https://sforce.co/4a48vRP
“The Great Data Heist” :60 | Ask More of AI with Matthew McConaughey | Salesforce
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What Is the Einstein Trust Layer? Everyone is excited about generative AI because it unleashes their creativity in whole new ways. Working with generative AI can be really fun—for instance, using Midjourney to create images of your pets as superheroes or using ChatGPT to create a poem written by a pirate. Companies are excited about generative AI because of the productivity gains. But for all this excitement, you probably have questions, like: 1. How do I take advantage of generative AI tools and keep my data and my customers’ data safe? 2. How do I know what data different generative AI providers are collecting and how it will be used? 3. How can I be sure that I’m not accidentally handing over personal or company data to train AI models? 4. How do I verify that AI-generated responses are accurate, unbiased, and trustworthy? The Einstein Trust Layer elevates the security of generative AI through data and privacy controls that are seamlessly integrated into the end-user experience. These controls enable Einstein to deliver AI that’s securely grounded in your customer and company data, without introducing potential security risks. In its simplest form, the Trust Layer is a sequence of gateways and retrieval mechanisms that together enable trusted and open generative AI. The Einstein Trust Layer lets customers get the benefit of generative AI without compromising their data security and privacy controls. It includes a toolbox of features that protect your data—like secure data retrieval, dynamic grounding, data masking, and zero data retention—so you don’t have to worry about where your data might end up. Toxic language detection scans prompts and responses for accuracy and to assure they are appropriate. And for additional accountability, an audit trail tracks a prompt through each step of its journey. You learn more about each of these features in the next units. The Trust Layer sits between an LLM and your employees and customers to keep your data safe while you use generative AI for all your business use cases, including sales emails, work summaries, and service replies in your contact center. #salesforce #einstein #trust #generativeAI #llm #security #salesforcedeveloper #salesforcearchitect
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FAKE NEWS: “Your Data Is Not Ready For AI” Here’s how teams are winning with Gen AI They are writing better prompts, Collaborating with business SMEs, Distilling their Process & Industry Knowledge, Internal nuances, perspectives & Secret Sauces. That combined with a focus on The needs of their end users Is what’s working. Yes, bad data will do damage, So would smoking & other stupid things. But if your operational data Is decent enough for your business today, Why is it not good for generative AI use cases? FACT: If your data works for your business today, Can AI give you summary & classification? Interesting read from Peter Gostev And his diagram below #ai #salesforce #gptfy #llm #data #enterprisearchitecture #genai
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