Philip Cooper

Salesforce Agentforce — driving the highest accuracy & lowest hallucination AI —- integrated🔥SFR-RAG 🔥 LLM specialized in RAG use cases, optimized to fully leverage contextual content for accurate and faithful response generation. This is what AI was meant to be. Congrats @SFResearch! 📘 SFR-RAG Paper: tinyurl.com/sfr-rag 🧪 ContextualBench benchmark: tinyurl.com/contextualbench 🧠 Blog Post: blog.salesforceairesearch.com/sfr-rag/

Want to supercharge your sales force with Agentforce? Meet Einstein Sales Coach Agent—where your team practices pitches with AI, finds top leads, and crushes sales calls. Customize it like a human coach, get real-time insights, and drive success. See it at Dreamforce 2024! Now everyone’s an Einstein. ❤️

Salesforce: #1 Data Cloud & Customer Data Platform. ❤️ salesforce.com/news/stories/g…

@AndiMann 100%. Very worst strategy is to put your head in the sand!

@JamesMaguire A9. For managers/buyers: don’t be dogmatic about build vs buy – where your business applications have solid embedded AI capabilities use them; build what’s unique to your business. #eweekchat

Q9. Last question, a final “Big Thought”: what else should managers/buyers/providers be aware of about generative AI? #eWEEKchat

@JamesMaguire A9. LLMs aren’t a panacea; don’t forget about ‘regular’ ML techniques! #eweekchat

@_MatiasMichael @AndiMann Yes! This means you have to bake in measurement at the outset to see what works and what doesn't #eweekchat

@AndiMann rotate - iterate - innovate - and again I'd add, make adoption a key strategy to see what sticks and what's noise #eweekchat

@elastic @JamesMaguire 100% agree with Ken here; keep your options open. This is certainly the strategy that we're deploying @clarihq for our RevAI functionality.

@JamesMaguire The space is changing so rapidly. My number one piece of advice is to make sure the tools you work with are not tied to one LLM and can evolve to work with different models. – Ken Exner, CPO. #eweekchat

Q8. Also forward-looking: Your best advice to help companies prepare for the (wildly) unpredictable future of artificial intelligence? #eWEEKchat

@JamesMaguire A8. Same as the prior question: get intentional about how your organization adapts.....recommend considering this as a core competence for the business #eweekchat

@zkerravala 💯 ExAI...... we need to scale and embed techniques to deliver explainability. #eweekchat

A7. #EweekChat Good Q. One big issue is still bias and fairness. Ensuring that generative AI models generate content that is free from bias and promotes fairness is an ongoing challenge.

@JamesMaguire Just like handling climate change; we need to build skills and processes to proactively manage adaptation.

@JamesMaguire A7. Adaptation. AI is and will force changes in people’s roles and it will eventually eliminate some roles. It will also create completely new roles that we don’t know about today. #eweekchat

Q7. Let's look ahead: what enduring challenges will generative AI continue to pose to companies in the future? #eWEEKchat

@zkerravala What mechanisms are there to enforce this @zkerravala ?

A5. #EweekChat this is a big one - DO NOT USE sensitive or confidential data with the generative AI tool unless explicitly permitted by the company's data privacy policies.

@_MatiasMichael @elastic @JamesMaguire 🩷 huge role for the CIO to set guardrails but enable.

@elastic @JamesMaguire Beautifully written. Distinguishing the professional use-cases from experimentation. These tools are powerhouses for innovation and creative thinking. Perhaps there needs to be clear distinctions in the tools, with clear filters by the CTO and CIO. #eweekchat

Q5. Specifically, your advice for generative AI guidelines for employees? #eWEEKchat

@JamesMaguire A6. Create a strategy; align it with company goals (this needs to be exec team-level); identify an exec-team sponsor; build a roadmap; get started yesterday. #eweekchat

Q6. On the upside, how can companies best harness the potential of generative AI for competitive advantage? #eWEEKchat

@JamesMaguire A5. Engage; share your use case ideas; we are SO early in the game here we have no idea what the killer use cases will be. #eweekchat

@JamesMaguire A5. Educate, educate, educate.......get folks smart on how this works--hunch, that will be eye opening--what it's good for, what it's not. #eweekchat

@zkerravala Agreed for some use cases; also believe that GenAI can become the point of engagement that federates out queries to deliver the 'right' answer. #eweekchat

A3. #EweekChat - It’s like search… you ask Google what the weather is, but not to look up financial information. For that, there is Bloomberg. We need #GenerativeAI to be trained on vertically specific information

@ramvzz 💯 Lots to pull forward to this domain.

A3. All of the above. Data & analytics have two decades of what good governance looks like, the entire generative AI stack needs the same treatment, from collecting and managing the data to audit and traceability of outcomes. #eWEEKchat

@JamesMaguire A4. Isolate and protect your data. #eweekchat

Q4. How do you recommend companies address these generative AI challenges? #eWEEKchat