Salesforce touts trust and security features when introducing its new AI Cloud, but it doesn't differ much from existing offerings, and analysts believe there may be few takers for AI Cloud's expensive starter package.
Zasluge: Magdalena Petrova
Salesforce's new AI Cloud has left many wondering what it's all about: how it differs from the competition, what's new on offer, and whether you should consider subscribing. Analysts predict there may be only a few interested in the expensive new offering.
Salesforce AI Cloud kombinira Slack GPT, Tableau GPT,top of the GPT, MuleSoft GPT, Flow GPT, Service GPT, Marketing GPT and Commerce GPT along with the new Einstein Trust layer and rapid engineering training toollarge language models (LLM)).
A new integrated offer, which focuses ongenerative AIapps, according to CEO Marc Benioff, build on the unification of Salesforce's existing technology stack already offered through products includingGPT Einstein,data cloud,Graph,Flowgsoft mule.
Syn unified interface for AI Cloud
Although Salesforce promotes AI Cloud as an integrated offering through the Cloud Starter Pack, which costs $360,000 annually and includes a free AI readiness assessment for Salesforce Professional Services, it does not have a single, unified interface, the company said.
"Much of cloud AI will actually manifest as assistants in the various cloud offerings that we have, for example, Sales GPT in Sales Cloud, Marketing GPT in Marketing Cloud and Service GPT in Service Cloud," said Jayesh Govindarajan. senior vice president. president of data science and engineering at Salesforce.
"However, if you're an independent service provider and want to build your own queries, AI Cloud will offer a separate local console with a low-code experience for training large language models," Govindarajan said, adding that Salesforce has already signed up. with service partners including Accenture, Deloitte and PwC.
The AI Cloud Starter Pack, according to Forrester's principal analyst Liz Herbert, is only a pricing model for the products the company promotes, and "not many Salesforce customers will use that model or be forced to buy it," since most companies already have a CRM. and other installed software packages.
"If you look at how the typical customer has already signed up for Salesforce, it's highly unlikely that bundling is a common way that someone would shop," Herbert said, adding that Salesforce also hasn't been very specific about the pricing elements for businesses to use. only one or more offers in AI Cloud. The pricing structure is expected to align over time with the use of different offerings under AI Cloud, Herbert said.
Salesforce AI Cloud offers a selection of LLMs
Salesforce's AI Cloud architecture is built to support multiple LLMs and their training, according to the company.
AI Cloud architecture is compatible with business public cloud infrastructure architecture,hypersila, which in turn supports a data cloud layer, followed by a layer that hosts multiple LLMs (proprietary or third-party), topped by a new Einstein trust layer, the company said.
Sales force
The trust layer separates Einstein's GPT-based generative AI engines such aslazy GPT,Table GPT, GPT Marketing i GPT Commerce– rapid engineering tools and prediction engines, Salesforce said.
The LLMs AI Cloud currently offers include third-party models from Amazon Web Services (AWS), Anthropic, and Cohere, among others.
The company has also partnered with OpenAI to use its API to access models likeGPT-4, which leadChatGPT.
Salesforce will also provide its own LLMs such as CodeGen, COdeT5+, and CodeTF to implement generative artificial intelligence in applications, especially those that aim to increase productivity, reduce the talent gap, and reduce technology implementation costs.
A new division, the so-calledSalesforce AI Research, was created to try to develop new applications for AI by advancing new LLMs or developing existing ones.
Companies, according to Salesforce, can also train their LLMs on their own domain-specific data.
"These models, either passing throughAmazon SageMakeroGoogle Vertex AI, will connect directly to the AI Cloud via the Einstein GPT Trust Layer. In this scenario, customer data can remain within user trust boundaries," the company said.
This is not the first time someone has offered these options. Several other leading technology providers, including AWS and IBM, already offer similar offerings in the formamazon bedrockgIBM Watsonx.
How do multiple LLMs work together?
Contrary to the practices of some large software vendors who claim to mix different LLMs to offer generative AI applications, Salesforce's AI Cloud "selects the right LLM for the right task," according to the company.
"Determining the right LLM is based on the results the system has previously seen," Govindarajan said, adding that the LLM recommendation engine learns from data across all Salesforce deployments.
Giving the example of Marketing GPT creating a landing page, Govindarajan said the system tracks the performance of that landing page, as performance data is also stored within Salesforce's Marketing Cloud.
"If the landing page worked really well, it will suggest the same LLM you used to create the landing page to another user who also wants to create a similar landing page," Govindarajan said.
The same logic also applies to the multiple flavors of Einstein GPT across Salesforce Cloud offerings that continuously empower participants, Salesforce said.
“These generative AI helpers, like Slack GPT or Tableau GPT, track whether the user ends up following a suggestion. It also tracks any edits or changes to the generated output. This helps it to continuously learn and be more personalized for users,” said Govindarajan.
Einstein uses the GPT Trust Layer NOW
Salesforce's Einstein GPT Trust layer isn't new or special, according to Forrester's Herbert, who says it follows the same principles most other vendors offer in terms of security. Like most other service providers, Salesforce usesidentity and access management (IAM)rights in the company to protect privacy and data security, said Salesforce's Govindarajan.
Sales force
"After a user runs a query on their system, the technology stack behind these generative AI helpers searches the databases for the attribute they need and have access to, and then the stack builds a semantic search model based on the company-wide knowledge graph and the searching employee query,” said Govindarajan.
“The retrieved vectorized data is stored within the company's servers, masked, and then fed into a large language model to generate results or responses. So the stack essentially copies or absorbs identity and access management policies that already exist for that employee,” Govindarajan added.
The architecture of the Einstein Trust layer is also built in such a way that after processing the query, the information contained in the notification or query is not retained, the company said, adding that the generated output is checked for toxicity. and audit trail. records are kept for all indications.
Availability
The offerings under AI Cloud, according to the company, will be available in different phases, with Einstein GPT and Service GPT becoming generally available in June.
The company's commercial GPT will be generally available in July. Other offers within the bundle are expected to be available next year after being in pilot for most of 2023.
It will be interesting to see how customers react to Salesforce's new offering, which is more of an amalgamation of existing offerings than an entirely new platform. However, analysts believe that the Salesforce AI Cloud will help increase confidence in the use of generative artificial intelligence by companies.
“Salesforce recognizes that there are barriers to adoption of artificial intelligence, especially trust. Therefore, they double this aspect. Another challenge is that we will soon have a large number of LLMs: open source, public and private, which will lead to confusion about which one to implement. So Salesforce AI Cloud enables users to connect LLMs of their choice,” said Sanjeev Mohan, principal analyst at SanjMo.
FAQs
What is Salesforce AI? ›
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What does AI mean in Microsoft? ›Artificial intelligence (AI) is the capability of a computer to imitate intelligent human behavior. Through AI, machines can analyze images, comprehend speech, interact in natural ways, and make predictions using data.
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What are the cons of AI in cloud computing? ›Connectivity concerns
Consistent connectivity is a need for AI in cloud computing. Poor internet access can hinder the advantages of cloud-based AI resources. Processing data in the cloud is quicker than conventional computing, but there is a latency issue in the cloud which creates a time lag in receiving responses.
AI platforms, including Amazon Machine Learning, Microsoft Azure Cognitive Services and Google Cloud Machine Learning, can help organizations determine what might be possible with their data.
What is AI used for now? ›
Artificial Intelligence finds diverse applications in the healthcare sector. AI applications are used in healthcare to build sophisticated machines that can detect diseases and identify cancer cells. Artificial Intelligence can help analyze chronic conditions with lab and other medical data to ensure early diagnosis.
What are the types of cloud in AI? ›The main three types of cloud computing are public cloud, private cloud, and hybrid cloud. Within these deployment models, there are four main services: infrastructure as a service (IaaS), platform as a service (PaaS), software as a service (SaaS), and serverless computing.
What exactly is AI and how does it work? ›What is AI? Artificial intelligence is an advanced technology, typically run by a series of algorithms, computers, or robots, that uses real-time data to simulate human intelligence. AI can replicate human discernment and make real-time decisions.
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What is the difference between app and AI? ›The most significant difference between apps powered by AI and any other app is the technology behind it. AI can make independent decisions based on input data. Developers create an artificial neural network, which relies on algorithms to “memorize” things and then draw conclusions and observe patterns.
Does Microsoft 365 have AI? ›Across Microsoft 365, AI powers innovative apps that can help you write and design better, visualize maps and charts in Excel, and streamline your inbox. Learn how AI makes Office apps easier to use, more collaborative, and more secure.
What is AI and why is it important? ›Artificial intelligence (AI) is the basis for mimicking human intelligence processes through the creation and application of algorithms built into a dynamic computing environment. Stated simply, AI is trying to make computers think and act like humans.
Does Windows use AI? ›Transform your Windows application with the power of artificial intelligence. Windows AI empowers you and your business to achieve more by providing intelligent solutions to complex problems.
What is the link between AI and cloud? ›AI is also an essential component of strong cloud computing because it can track data and web traffic. There are a lot of cloud applications that users can access, and to keep data safe, these AI-powered systems will issue an alert anytime they think a user is somewhere they shouldn't be.
What is the difference between AI and without AI? ›Programming Without and With AI
A computer program without AI can answer the specific questions it is meant to solve. A computer program with AI can answer the generic questions it is meant to solve. Modification in the program leads to change in its structure.
Does AI require cloud? ›
The gargantuan amount of data storage required by AI requires the capacity of cloud storage. AI is always hungry for data; it devours data and asks for more. The scalability of the cloud enables this oceanic data storage.
What are the 4 types of AI with example? ›- Reactive machines. Reactive machines are AI systems that have no memory and are task specific, meaning that an input always delivers the same output. ...
- Limited memory. The next type of AI in its evolution is limited memory. ...
- Theory of mind. ...
- Self-awareness.
A great example of AI in transport is the development of self-driving cars. These cars can reduce the total number of vehicles on the road by 75% and reduce traffic accidents to about 90%. They all are under development and can arrive in the market in the next few years.
What are the 4 risks dangers of AI? ›Some of the biggest risks today include things like consumer privacy, biased programming, danger to humans, and unclear legal regulation.
What are two advantages and two disadvantages of AI? ›The advantages range from streamlining, saving time, eliminating biases, and automating repetitive tasks, just to name a few. The disadvantages are things like costly implementation, potential human job loss, and lack of emotion and creativity.
Is Salesforce considered AI? ›Salesforce Einstein is a layer of intelligence within the Lightning Platform that brings powerful AI technologies to everyone, right where they work. And with the Einstein Platform, admins and developers have a rich set of platform services to build smarter apps and customise AI for their businesses.
Is Salesforce Einstein really AI? ›Einstein GPT is the next generation of Einstein, Salesforce's AI technology that currently delivers more than 200 billion AI-powered predictions per day across the Customer 360.
What does AI do in CRM? ›At its core, CRM AI helps businesses better organize customer information and access that information more easily. This includes contact details, demographic data, communication history, purchase history, and other pertinent data used to build sales opportunities and better serve customers.
What qualifies as AI? ›Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.
What type of software is AI? ›AI software is a type of computer software that enables the adoption of Artificial Intelligence (AI) to process large amounts of data to solve tasks that otherwise require human intelligence.
Is AI a software or not? ›
Artificial Intelligence (AI) Software is a computer program which mimics human behavior by learning various data patterns and insights. Top features of AI software include Machine Learning, Speech & Voice Recognition, Virtual Assistant etc.
Does Elon Musk believe in AI? ›Speaking via video link to a summit in London, Musk said he expects governments around the world to use AI to develop weapons before anything else. Elon Musk has hit out at artificial intelligence (AI), saying it is not "necessary for anything we're doing".
How much is Salesforce generative AI? ›According to Salesforce, customers are already using many of Salesforce's new AI capabilities, including AAA, RBC US Wealth Management and Gucci. The AI Cloud “Starter Pack” is set to cost $360,000 per year, meaning it won't necessarily be “accessible” for smaller businesses.
Is Elon Musk concerned about AI? ›"There is a risk that advanced AI either eliminates or constrains humanity's growth," the billionaire said at The Wall Street Journal's CEO Council Summit, adding that the technology is a "double-edged sword" and compared it to a mythical genie.
Which CRM has the best AI? ›Zoho CRM: Best for Broad AI Use Cases
Zia can also auto-enrich CRM data, give alerts on competitors, and detect customer intent on emails. You need AI command features: In addition to robust AI functions available in the CRM, Zoho offers a simple chat tool to ask Zia questions or make task commands.
Major CRM vendors like Salesforce, HubSpot and One AI are integrating AI capabilities into their platforms to stay competitive. Streamlined processes. AI integration in CRM platforms automates routine tasks, improves customer experience and provides valuable, data-driven guidance for marketing and sales teams.
What is AI for purpose? ›The goals of artificial intelligence include computer-enhanced learning, reasoning, and perception. AI is being used today across different industries from finance to healthcare. Weak AI tends to be simple and single-task oriented, while strong AI carries on tasks that are more complex and human-like.
What are the 4 key principles of AI? ›This article provides a a breakdown of four of the eight principles: bias evaluation, explainability, human augmentation, and reproducibility. In a sense, AI models carry inherent biases as they are designed to discriminate towards the relevant answers.
What are the 7 key requirements for trustworthy AI? ›- 7 keys to a trustworthy AI. according to the EU guidelines. ...
- Human Agency and Oversight. ...
- Technical Robustness and Safety. ...
- Privacy and Data Governance. ...
- Transparency. ...
- Diversity, Non-Discrimination and Fairness. ...
- Societal and Environmental Well-Being. ...
- Accountability.
Microsoft outlines six key principles for responsible AI: accountability, inclusiveness, reliability and safety, fairness, transparency, and privacy and security. These principles are essential to creating responsible and trustworthy AI as it moves into more mainstream products and services.