“Nearly half of companies now say that they’re using some form of artificial intelligence, according to McKinsey research that Salesforce shared at Dreamforce 2019, yet seven out of ten companies report they’re seeing little to no value from their AI projects so far.
The impediment is often not knowing where to start. Salesforce’s growing Trailhead community and educational offerings, such as the new “Einstein’s Guide to AI Use Cases,” are geared to demystifying AI and promoting adoption.”
“Salesforce continues to lean heavily on Einstein, its proprietary predictive analytics and AI platform, which now powers 6.5 billion predictions daily. (That’s up from 4 billion predictions in May and over 1 billion predictions in February.)
Salesforce this morning announced Commerce Page Designer, a new low-code feature in Commerce Cloud that allows companies to create and manage ecommerce sites visually.”
“Benioff noted that companies are increasing their use of Salesforce Einstein artificial intelligence technology to build online interfaces more personalized to their customers’ interests. He added that Salesforce will soon make its Einstein AI technology available in every Salesforce application, adding such features as voice-activated commands into CRM and other software.
Block added that more companies are shifting more of their IT spending toward innovation projects as part of digital transformation. He noted that, in the financial services industry, companies have traditionally budgeted 90% of their IT spend to maintenance of existing technology systems. “Now what you see in financial services is a drive toward more of a 50-50 spend between maintenance and innovation,” he said.”
“Web traffic on smartphones and tablets will, for the first time, surpass desktop (at 54 percent and 46 percent respectively).
Mericle’s points about creating “easy shopping experiences” and “providing a seamless customer journey” are especially important in the ecommerce space, where more and more retailers are leveraging AI-powered customer engagement platforms to create individualized digital shopping experiences.”
“Away from kitting the CEO, Adidas used Dreamforce to launch a new AI-enabled shopping app designed to offer a personalized experience for consumers, based on their individual style and buying patterns. To pay for items, customers can tap-to-buy, using a credit card or digitally via Apple Pay or Android Pay.
Once a purchase has been made, the customer can track their order, and chat with customer services regarding it. Such chats will intially be with a human being, but within a few months, Adidas will introduce chat bots to handle simple queries, with human intervention only when things get more complicated to deal with.
From Adidas perspective, the important thing is that the app’s AI capabilities will learn as it goes. From interaction with a consumer, the app will pick up more and more data about what he or she likes and doesn’t like and start to make recommendations, encouraging upsell opportunities.
With the power of the Service Platform and Einstein built in, when you talk to those agents, they’re smarter and more productive than ever before. Einstein bots are transforming the world of service. They are the ultimate helper. Using Salesforce Einstein bots to power their service interactions, Adidas is able to do everything. It is able to handle all those repetitive tasks, those actions, whether you want to make a return, or you want to exchange something.”
“Join us on Thursday, Nov. 16 at 2 pm EST/11 am PST for “The Rise of the AI-Empowered Marketer: Engaging Smarter to Grow Revenue,” a free live webinar, where we’ll explore what you need to know about AI for marketing success.”
“Research firm, Forrester, predicts that online sales will skyrocket to $459 billion in 2017, totaling 12.9 percent of retail sales.
The vast majority of merchants, however, spend a significant portion of their time just trying to figure out how to compete with Amazon. Understandably so, considering that the retail behemoth is poised to garner nearly half of all online sales this year.
In an effort to contend, many retailers are trying to set themselves apart by creating deeply personal and highly curated experiences online. Most of these are powered by AI technology.”
“Go to any industry conference, blog, meet up, or even just read the popular press, and you will hear and see topics like machine learning, artificial intelligence, and predictive analytics everywhere.
Because many of us don’t come from a technical/statistical background, this can be both a little confusing and intimidating.
But don’t sweat it, in this post, I will try to clear up a some of this confusion by introducing a simple, yet powerful framework – the intelligent agent – which will help link these new ideas with familiar tools and concepts like A/B Testing and Optimization.”