In the generative AI track, Salesforce caused a sensation again
Salesforce Announcing the full launch of Einstein Studio, an easy-to-use "BYOM" solution. With Einstein Studio, customers can use Salesforce's custom AI model or their own custom AI model to gain more in-depth insights from their internal proprietary company data. In turn, enterprises will be able to generate smarter, faster insights and content from the data they already use through "enterprise ready" AI.
Now, users can deploy customized AI models to Salesforce's sales, service, marketing, business and IT applications through Einstein Studio to help them gain more benefits from AI and data investment.
Salesforce Einstein Studio
-----What is Einstein Studio?
Einstein Studio enables data scientists and engineering teams to manage and deploy AI models more efficiently at lower costs. Einstein Studio trains AI models on the proprietary customer data of Data Cloud, which is the first real-time data platform in the field of customer relationship management (CRM). Through this BYOM solution, the user's unique AI model is combined with the prefabricated LLM provided by Einstein GPT to speed up the delivery of complete AI.
importance: Companies from all walks of life are competing to integrate AI because IT leaders expect AI to have a huge impact on their business. According to KPMG U.S. research: "Nearly 60% of people said that they still need a year or two to implement AI solutions." According to Gartner ® "On average, 54% of AI projects have shifted from the pilot phase to the production phase.
Solution: Einstein Studio makes it faster and easier to run and deploy enterprise AI in each part of the business, and brings a credible, open and real-time AI experience to each application and workflow.
-----The significance of Einstein Studio for enterprises
• Increase revenue, reduce customer churn, and deliver a superior customer experience.
Customers can use all data to drive AI, thus providing highly personalized customer interaction in each brand channel.
• Use the preferred tool for building machine learning models to improve the efficiency of the data team.
Use customer data to train AI to provide personalized services on all brand channels.
• Get more information from existing data without custom integration.
By allowing existing AI tools to easily access Salesforce data, companies can use customer data to build more powerful machine learning models.
• Maximize existing IT expertise and AI investment.
Einstein Studio enables teams to call their custom AI models from the Data Cloud. With the powerful functions of Salesforce platform, users can transform AI models into actionable insights, help guide Flow automation, trigger Apex codes, or notify sales representatives and contact center customer service through AI output in Lightning experience.
-----The Practical Application of Einstein Studio
Now, enterprises in any industry can quickly maximize their AI and data investment to create personalized experience, improve efficiency and save money, such as:
retailer
• Recommend products to customers according to their interests and behaviors;
• Provide personalized pricing according to customers' personal needs;
• Divide customers into different groups according to their demographics, purchase history and other factors.
Automobile brand
• Predict when the vehicle may need maintenance;
• Detection of fraudulent insurance claims;
• Develop personalized marketing activities for car buyers according to their personal needs and preferences.
Financial service institutions
• Create customized cross selling models to help recommend other products or services to consultants based on customers' real-time participation data.
Salesforce continues to work on the AI track
Salesforce, a software as a service (SaaS) industry company, has been committed to the development of AI technology. How did it make a way out of the "hot pursuit" of Google, Facebook, Microsoft and other technology giants in the AI field? And occupy a place in the hottest and most promising industry today?
The earliest story began in 2015. Salesforce, with the dream of carrying forward machine learning, strives to create a more powerful machine learning model, let it gradually change the map of the digital world, and develop an engine called "Optimus Prime". The name derived from Transformers only spread in the basement of the furniture store where it was born, and it didn't go too far. Salesforce has registered a new name for this AI program - Einstein.
Einstein is the first AI solution officially launched by Salesforce in 2016 to stand out in the whole industry.
In March 2017, Salesforce tapped the starting gun to embrace AI, opening many functions of Einstein to all users. This attempt to combine with AI got off to a good start. However, people's understanding of predictive AI and generative AI at that time was far less than that of today. Therefore, Einstein's popularity rate is not very high, but it does make people interested in the power of AI embedded in SaaS, thus paving the way for AI momentum this year.
Last year, Salesforce was committed to finding cutting-edge solutions, and went all out to AI to maintain its competitiveness and provide users with real value.
• March 2023
Salesforce announced the launch of ChatGPT based CRM generative AI product: "Einstein GPT".
• April 2023
Salesforce began to integrate Einstein GPT and Date Cloud into Flow's automation suite. This allows users to automatically generate responses using natural language prompts and real-time data sharing, thus creating personalized experiences faster.
• May 2023
Salesforce announced that both Marketing GPT and Commerce GPT can automatically generate email, marketing segmentation, personal shopping experience and other content.
• June 2023
Salesforce announced that the sales GPT and service GPT were fully launched, and released the latest price!
Salesforce's product pace in the AI field is very fast. With such a "revolutionary" gene, when the trend of AI is in the ascendant, Salesforce maintains high morale for an ideal mission: to create "AI for everyone".
Will Salesforce win?
It is too early to judge how Salesforce's Einstein Studio and marketing and business GPT tools will perform in AI competitions and positive competitive sales. So far, it may be that the pace of technological progress is far faster than the speed at which enterprise teams can fully adopt it, so there are not many relevant comments.
However, based on the popularity of AI, we can take a positive attitude towards Salesforce's flexible AI model deployment strategy, because each LLMs and smaller languages and basic models will bring different attributes, and this flexibility is a competitive advantage.
AI is a double-edged sword, but the AI blueprint depicted by Salesforce has nothing to do with subverting the world. Einstein is just a cute "genius" who can answer all the customers' questions. Although Salesforce is a little slower than IBM and Google, which are technology giants, to explore AI, it may not limit the development of Salesforce. It is now undoubtedly the pioneer of AI technology development trend, because it must keep pace with the commercialization efforts of competitors.
There is no doubt that AI is changing the way companies buy and use software. The pace of innovation will only be faster, thus benefiting companies and users around the world.
Can Salesforce give full play to AI and win the final victory of this "war"?
