#013 Salesforce's Thirst For AI CRM Dominance, Generative AI Can’t Be Outsourced, Are You Aware of Corpus? (Everyone Is Talking About It).
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AI BYTE # 1 📢 : Why Salesforce is Thirsty for AI CRM Dominance?
⭐ Salesforce, the customer-relations management software giant, has recently announced its earnings outlook for the third quarter and the year, beating Wall Street expectations.
The company expects to achieve a 30% adjusted margin target three quarters early, thanks to its restructuring and growth strategies.
One of the key drivers of Salesforce’s success is its thirst for becoming the No. 1 AI CRM leader in the market.
The company has invested heavily in developing and acquiring AI technologies, such as OpenAI’s GPT-4, ChatGPT, and MuleSoft, to enhance its platform and offer more value to its customers.
Salesforce’s CEO Marc Benioff said that the company is “very thirsty to make sure that Salesforce is the No. 1 AI CRM” and that it has done “a lot organically” to achieve that goal in the last six months.
He also expressed his enthusiasm for the upcoming Dreamforce conference, where the company will showcase its latest innovations and solutions.
Salesforce’s COO Amy Weaver said that the company’s growth was primarily driven by MuleSoft momentum, solid sales and service performance, and the increasing number of customers who invest more than $10 million annually and use an average of seven clouds.
She also addressed the recently announced price hikes and the opportunities around AI, saying that they did not have a significant influence on the guidance for this year.
Salesforce’s strong outlook and improved margins demonstrate its leadership and vision in the AI CRM space.
AI BYTE # 2 📢 : The Future of Generative AI in Business: Why You Can’t Outsource It?
⭐ Generative AI is one of the most exciting and promising fields of artificial intelligence, with applications ranging from natural language generation to image synthesis.
But how do data science leaders view this technology and its impact on their organizations?
A recent poll by Domino Data Lab, an enterprise MLOps platform, revealed some interesting insights from data and analytics professionals who attended their Rev conference in New York City.
Here are some key takeaways:
90% of data science leaders believe that the hype surrounding generative AI is justified. They see it as a transformative technology that can create new value and opportunities for their businesses.
More than half believe that generative AI will have a significant impact on their business within the next one to two years. They expect it to improve customer experience, enhance productivity, and drive innovation.
However, 94% of survey respondents believe that their organizations must create their own generative AI offerings. They do not think that relying on third-party software vendors or hyperscalers will be enough to achieve their goals and differentiate themselves from competitors.
More than half plan to use foundation models developed by third parties and to create customized customer experiences on top of them. They recognize the value of leveraging existing large language models (LLMs) such as OpenAI’s GPT-4, but they also want to fine-tune them for their specific use cases and domains.
More than a third believe that organizations must develop their own proprietary generative AI models. They want to have full control over their data, intellectual property, and quality standards. They also want to explore new possibilities and frontiers with generative AI.
These findings show that data science leaders are optimistic about the potential of generative AI, but they also understand the challenges and complexities involved in developing and deploying it.
They know that generative AI is not something that can be outsourced or commoditized, but rather something that requires a strategic investment and a competitive edge.
AI BYTE # 3 📢 : How Corpus is Shaping the Future of AI and Why Everyone Is Talking About It?
⭐ Are you familiar with the term “corpus”? If not, you might want to pay attention, because it is becoming increasingly important in the field of AI.
In this post, I will explain what corpus is, why it is essential for AI, and how some of the most influential tech leaders are using it.
A corpus is a large collection of texts, images, audio, or other data that is used to train and evaluate AI models. For example, a corpus of books can help an AI model learn how to generate natural language, or a corpus of photos can help an AI model recognize faces and objects.
A corpus can be either general or specific, depending on the purpose and domain of the AI model.
Why is corpus so important for AI?
Because it determines the quality and performance of the AI model. The more data a corpus has, the more accurate and reliable the AI model can be. However, not all data are equal.
A corpus also needs to be relevant, diverse, and representative of the real world. A corpus that is biased, outdated, or incomplete can lead to poor or even harmful AI outcomes.
How are some of the tech leaders using corpus? Here are some examples:
Bill Gates has recently announced that he is creating his own corpus of books, articles, podcasts, and videos that he finds interesting and informative. He calls it his “personal corpus” and plans to share it with the public through his website and newsletter.
Reddit’s CEO Steve Huffman has revealed that he is using a corpus of Reddit posts and comments to train an AI model that can generate realistic and engaging content for the platform.
Wikipedia’s founder Jimmy Wales has stated that he is using a corpus of Wikipedia articles and edits to train an AI model that can detect and correct vandalism and misinformation on the online encyclopedia. He calls it “WikiTrust” and aims to make Wikipedia more reliable and trustworthy.
As you can see, corpus is a crucial factor for AI development and innovation.
If you want to stay ahead of the curve and leverage the power of AI, you need to start building your own corpus.
You can do this by collecting, organizing, and analyzing data that are relevant to your interests, goals, and challenges.
You can also use existing corpora that are available online or through platforms like Microsoft Azure.
