{"id":9850,"date":"2024-03-13T14:26:09","date_gmt":"2024-03-13T14:26:09","guid":{"rendered":"https:\/\/www.salesforce.com\/?p=9850"},"modified":"2024-03-13T14:27:17","modified_gmt":"2024-03-13T14:27:17","slug":"generative-ai-terms-for-sales-professionals","status":"publish","type":"post","link":"https:\/\/www.salesforce.com\/eu\/blog\/generative-ai-terms-for-sales-professionals\/","title":{"rendered":"5 Generative AI Terms Every Sales Professional Needs to Know"},"content":{"rendered":"\n

Can you work faster and get better results using generative AI? Absolutely! Our research shows that, globally, 61% of salespeople believe generative AI<\/a> will help them sell efficiently. And, an impressive 84% of those already using it<\/a> report that it\u2019s indeed increased sales.\u00a0<\/p>\n\n\n\n

But if you\u2019ve never used it before, chances are, you probably don\u2019t know what to look for. In this blog, we help you get up to speed with five key generative AI terms every sales pro needs to know. And, you, too can learn \u200chow to make the most of generative AI to enhance your sales performance<\/a>. Let\u2019s dive in.<\/p>\n\n\n\n

Exploring Essential Generative AI Terms for Sales Success<\/strong><\/h2>\n\n\n\n
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  1. Generative AI<\/a><\/li>\n\n\n\n
  2. Prompt Engineering<\/a><\/li>\n\n\n\n
  3. Parameters<\/a><\/li>\n\n\n\n
  4. Hallucinations<\/a><\/li>\n\n\n\n
  5. Machine learning bias<\/a><\/li>\n<\/ol>\n\n\n\n

    1. Generative AI<\/strong><\/h3>\n\n\n\n

    The first place to start is with the term \u2018generative AI\u2019 itself. This is the field of AI that focuses on creating new content based on existing data.  <\/p>\n\n\n\n

    Generative AI<\/a> is super handy for sales pros. That\u2019s because sales work typically requires routine administrative tasks and extensive interactions with clients, creating substantial amounts of unstructured data. This data includes text from email threads, audio from phone calls, and video from face-to-face encounters.\u00a0<\/p>\n\n\n\n

    This plays to generative AI\u2019s core strengths, as the technology is built to handle large amounts of unstructured data. That\u2019s why, sometimes, you\u2019ll also hear generative AI being referred to as a large language model (LLM)<\/a>. When your technology can handle all this data and use it to generate sales content like emails or scripts, it saves you a ton of time!\u00a0\u00a0<\/p>\n\n\n\n

    Our very own Einstein AI<\/a> is a great example of this in action. Built into the Salesforce platform, Einstein auto-generates personalised emails using CRM data in just a few clicks with our \u2018Sales Emails\u2019 feature. And, our Call Summaries feature enables you to swiftly create concise and actionable summaries from sales calls. The upshot? You can be more productive.\u00a0<\/p>\n\n\n\n

    2. Prompt Engineering<\/h3>\n\n\n\n

    As a sales pro, prompt engineering is another term that you definitely need to know about to help you get the most out of generative AI. <\/p>\n\n\n\n

    Essentially, it means figuring out how to ask a question (the prompt) to get exactly the answer you need. It\u2019s carefully crafting or choosing the input that you give to a Machine Learning model to get the best possible output.<\/p>\n\n\n\n

    Sounds simple, right? In practice, it isn\u2019t always that<\/em> easy. Here are some pointers on how to write a strong prompt<\/a> for generative AI.\u00a0<\/p>\n\n\n\n