Of interest, it came to mind early on in the enterprise that such AI assistants needed to work together, with the same log-in and access to the same semantic databases, Knowledge Graphs. Sharing skills and specialized capabilities. That does not seem to be what this is about, but it is perhaps a first step in the same direction. Will be following closely.
Amazon enlists 30 companies to improve how voice assistants work together That includes multiple assistants on the same device that support multiple wake words. Christine Fisher, @cfisher writes in Engadget
Just because you have an Amazon device doesn't mean you should be limited to interacting with Alexa -- or so Amazon believes. Today, the company announced a new Voice Interoperability Initiative. The goal is to work with other companies so that users can access multiple voice services -- from Alexa to Cortana and Salesforce's Einstein -- on a single device.
"The initiative is built around a shared belief that voice services should work seamlessly alongside one another on a single device, and that voice-enabled products should be designed to support multiple simultaneous wake words," Amazon wrote in a press release.
More than 30 companies have signed on, including brands like BMW, Bose, ecobee, Microsoft, Salesforce, Sonos, Spotify and Samsung-owned Harman. Missing from the lineup of partners are companies like Google, Apple and Samsung -- all three of which have their own voice assistants and dedicated devices. ... "
Showing posts with label SalesForce Einstein. Show all posts
Showing posts with label SalesForce Einstein. Show all posts
Tuesday, September 24, 2019
Saturday, March 16, 2019
What is Salesforce Einstein Discovery?
Have been looking at some of Salesforce offerings.
Video of of tech of basics of Salesforce Einstein:
By Mark Tossell:
Einstein Discovery is a curious enigma in the Salesforce ecosystem. Most people in the Salesforce world have heard of Einstein, as it has been widely publicised, but the majority have little understanding of what it does and how they can use it. In fact, even a good number of thought leaders and consulting partners are in the dark around Einstein.
I think that three factors have contributed to this scenario:
Lack of understanding around the general subject of artificial intelligence and machine learning, especially in the context of business deliverables.
Confusion about the rather complex family of Salesforce Einstein products – including Einstein Analytics, Sales Cloud Einstein, Einstein insights, Einstein Prediction Builder, and Einstein Discovery. Phew!
The challenge that Salesforce Account Executives have to effectively communicate a product family that is becoming increasingly diverse and complex.
This lack of understanding is unfortunate, because Einstein Discovery (ED) is an extremely powerful tool that can offer tremendous business value if correctly implemented and effectively employed.
The purpose of this post is not to publish a detailed technical treatise about the ED platform; I’ll leave that to others. Rather, my goal is to distill the jargon, bypass the hype, and introduce a very capable piece of kit to those who might benefit from it.
1. What is Einstein Discovery?
Supervised machine learning. Those thee words succinctly define the ED platform. However, what does this mean? How does a machine learn? And why does it need supervision, as if it were some delinquent child? Let me explain.
Machine learning (ML) is analytical model building that can be automated, where the systems “learn” from data and identify patterns, resulting in meaningful conclusions and predictions.
I like this definition of ML from the SAS institute web site – “Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.”
There are two types of machine learning: supervised, and unsupervised. They are fundamentally different, so let’s briefly set them apart.
In supervised machine learning you have a set of features, or variables, similar to the column names in a spreadsheet. You also have a response variable that you use the features to make predictions for. A simple example would be looking at the brand, age, size and condition of motor vehicles in order to make a prediction about their value. Supervised learning is what Einstein Discovery does, and it is very good at it. .... "
Video of of tech of basics of Salesforce Einstein:
By Mark Tossell:
Einstein Discovery is a curious enigma in the Salesforce ecosystem. Most people in the Salesforce world have heard of Einstein, as it has been widely publicised, but the majority have little understanding of what it does and how they can use it. In fact, even a good number of thought leaders and consulting partners are in the dark around Einstein.
I think that three factors have contributed to this scenario:
Lack of understanding around the general subject of artificial intelligence and machine learning, especially in the context of business deliverables.
Confusion about the rather complex family of Salesforce Einstein products – including Einstein Analytics, Sales Cloud Einstein, Einstein insights, Einstein Prediction Builder, and Einstein Discovery. Phew!
The challenge that Salesforce Account Executives have to effectively communicate a product family that is becoming increasingly diverse and complex.
This lack of understanding is unfortunate, because Einstein Discovery (ED) is an extremely powerful tool that can offer tremendous business value if correctly implemented and effectively employed.
The purpose of this post is not to publish a detailed technical treatise about the ED platform; I’ll leave that to others. Rather, my goal is to distill the jargon, bypass the hype, and introduce a very capable piece of kit to those who might benefit from it.
1. What is Einstein Discovery?
Supervised machine learning. Those thee words succinctly define the ED platform. However, what does this mean? How does a machine learn? And why does it need supervision, as if it were some delinquent child? Let me explain.
Machine learning (ML) is analytical model building that can be automated, where the systems “learn” from data and identify patterns, resulting in meaningful conclusions and predictions.
I like this definition of ML from the SAS institute web site – “Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.”
There are two types of machine learning: supervised, and unsupervised. They are fundamentally different, so let’s briefly set them apart.
In supervised machine learning you have a set of features, or variables, similar to the column names in a spreadsheet. You also have a response variable that you use the features to make predictions for. A simple example would be looking at the brand, age, size and condition of motor vehicles in order to make a prediction about their value. Supervised learning is what Einstein Discovery does, and it is very good at it. .... "
Sunday, December 04, 2016
Salesforce Will do AI with Einstein
Been much rumor about what Salesforce would do with AI style capabilities for customer management. Now their solution, Einstein, has been announced. Individual conversational assistance? Bot observation of activity? Or platform integrated intelligence. When I hear AI now I think about its value approach and integration with current process. And what the risk of its use might be in context
Salesforce Aims to Revolutionize CRM with AI-Powered Einstein By Virginia Backaitis
Salesforce officially unveiled its artificial intelligence (AI) capability called Einstein yesterday — just hours before Oracle kicked off OpenWorld.
Constellation Research analyst Doug Henschen said it was no coincidence that Salesforce made a point of introducing its AI capabilities just ahead of Oracle's big user conference.
"And likewise, it's no coincidence that we'll hear AI announcements from Oracle this year. Its work has been stealthy while Salesforce has very publicaly been loading up on machine learning and AI-related acquisitions,” he said.
Salesforce promises Einstein will forever change customer relationship management (CRM). It is a lofty goal, but one but that doesn’t seem unattainable: Salesforce has both purchased and hired the technology and the people needed to make it happen.
Salesforce: We Have the Smartest CRM:
John Ball, General Manager, Salesforce Einstein, told reporters at a virtual press conference last Thursday that the company has created “the world’s smartest CRM” by marrying data science, artificial intelligence, machine learning, deep learning, natural language processing and deep data discovery1 with its business applications. .... "
Salesforce Aims to Revolutionize CRM with AI-Powered Einstein By Virginia Backaitis
Salesforce officially unveiled its artificial intelligence (AI) capability called Einstein yesterday — just hours before Oracle kicked off OpenWorld.
Constellation Research analyst Doug Henschen said it was no coincidence that Salesforce made a point of introducing its AI capabilities just ahead of Oracle's big user conference.
"And likewise, it's no coincidence that we'll hear AI announcements from Oracle this year. Its work has been stealthy while Salesforce has very publicaly been loading up on machine learning and AI-related acquisitions,” he said.
Salesforce promises Einstein will forever change customer relationship management (CRM). It is a lofty goal, but one but that doesn’t seem unattainable: Salesforce has both purchased and hired the technology and the people needed to make it happen.
Salesforce: We Have the Smartest CRM:
John Ball, General Manager, Salesforce Einstein, told reporters at a virtual press conference last Thursday that the company has created “the world’s smartest CRM” by marrying data science, artificial intelligence, machine learning, deep learning, natural language processing and deep data discovery1 with its business applications. .... "
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