Using AI to Drive Smart Automation in Retail

Using AI to Drive Smart #Automation in #Retail - Robert Hetu  … … #ArtificialIntelligence #AI

  • Retailers must use AI to automate and deliver better decisions and make it possible for associates to be customer experience differentiators.
  • At first, by automating paper tasks and reducing the need for key punch or data entry, Excel provided some savings, but overall, more resources were required to, and certainly did, extract significant value from data using Excel.
  • Retail corporate headquarters now employ hundreds or thousands of associates who spend the majority of their working day manipulating data in spreadsheets.
  • Overall, the crisis in retail, combined with increasing costs and a lack of consistent quality analytics, are drivers for change.
  • Customer insights and adaptive journey — Through natural-language processing and machine learning, AI systems can learn from the huge data created by customers, generating behavioral/usage insights and providing direction for product owners/retailers, which helps them gain a better understanding of their consumers and customizing their products, designs and shopping experiences around unique user needs.

Retailers must use AI to automate and deliver better decisions and make it possible for associates to be customer experience differentiators.
Continue reading “Using AI to Drive Smart Automation in Retail”

Using AI to Drive Smart Automation in Retail

Using AI to Drive Smart #Automation in #Retail - Robert Hetu  … #ArtificialIntelligence #AI

  • Retailers must use AI to automate and deliver better decisions and make it possible for associates to be customer experience differentiators.
  • At first, by automating paper tasks and reducing the need for key punch or data entry, Excel provided some savings, but overall, more resources were required to, and certainly did, extract significant value from data using Excel.
  • Retail corporate headquarters now employ hundreds or thousands of associates who spend the majority of their working day manipulating data in spreadsheets.
  • Overall, the crisis in retail, combined with increasing costs and a lack of consistent quality analytics, are drivers for change.
  • Customer insights and adaptive journey — Through natural-language processing and machine learning, AI systems can learn from the huge data created by customers, generating behavioral/usage insights and providing direction for product owners/retailers, which helps them gain a better understanding of their consumers and customizing their products, designs and shopping experiences around unique user needs.

Retailers must use AI to automate and deliver better decisions and make it possible for associates to be customer experience differentiators.
Continue reading “Using AI to Drive Smart Automation in Retail”

2017 and Beyond: How Digital Innovation Will Impact the World

How #Digital #Innovation Will Impact the World  #blockchain #BigData #AR #VR #IoT #ML #DL #AI

  • Recently Gartner, Inc., revealed its top predictions for IT organizations and users for 2017 and beyond, focusing on three fundamental effects of continued digital innovation: experience and engagement, business innovation, and the secondary effects that result from increased digital capabilities.
  • “Gartner’s top strategic predictions continue to offer a provocative look at what might happen in some of the most critical areas of technology evolution.
  • At the core of future outcomes is the notion of digital disruption, which has moved from an infrequent inconvenience to a consistent stream of change that is redefining markets and entire industries,” said Daryl Plummer, managing vice president, chief of research and Gartner Fellow.
  • “Last year, we said digital changes were coming fast.
  • In this slideshow, Gartner has outlined the top predictions for IT organizations and users for 2017 and beyond.

Digital innovation is by far the biggest influencer, changing the way we do everything, from shopping to communication to running a business.
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10 Cool Machine Learning Startups To Watch

10 Cool #MachineLearning Startups To Watch



#AI #DeepLearning #DataScience #Python #R #Data

  • Are 10 machine learning startups worth a closer look.
  • 10 Cool Machine Learning Startups To Watch
  • PricewaterhouseCoopers said 29 machine learning companies have been acquired so far this year by companies large and small, and total deals in 2016 will likely exceed the 37 such buyouts made last year.
  • “Ten years ago, we struggled to find 10 machine learning-based business applications.
  • There are companies specializing in machine learning applications for these verticals.

Machine learning is technology that trains software so developers don’t have to code it by hand. The number of new companies in the category has grown exponentially over the past few years. Here are 10 machine learning startups worth a closer look.
Continue reading “10 Cool Machine Learning Startups To Watch”