I found an article today on Zoovu, and hadn’t heard of them to date. Their premise is that they’ve developed a self-service platform that enables businesses of all sizes to easily manage voice assistant, Chatbots and other emerging technologies by leveraging AI, machine learning and natural language processing.
Rob Mullen is the CEO and has a background including time at both IBM and Tata.
“Gartner recently predicted that by 2022, 72% of customer interactions will involve emerging technologies such as machine learning applications, chatbots and other virtual personal assistants
Zoovu found that nearly one-in-four marketers said that their current digital assistant solutions aren’t intelligent, scalable or adaptive enough, underscoring the need for an augmented product offering.
The new offering provides over 200 bespoke templates, each with unique layouts, designs and conversational flows, empowering brands
‘The Zoovu platform provides real-time reporting and insights into what products are selling, which are struggling, which customers are drawn to and more, delivering real-time ROI contributions.'”
“Microsoft today announced three new services that all aim to simplify the process of machine learning.
The new interface for Azure’s automated machine learning tool makes creating a model as easy as importing a data set and then telling the service which value to predict.
For those who want a bit more control from the get-go, Microsoft also today launched into preview a visual interface for its Azure Machine Learning service that will allow developers to build, train and deploy machine learning models without having to touch any code.
The new hosted notebooks in Azure Machine Learning are clearly geared toward the more experienced machine learning practitioner.”
“For perspective, it’s worth noting that eMarketer expects Walmart to account for 4.6% of ecommerce sales this year, up from around 4% in 2018. The company expects to come off its 40% growth in 2018 with 35% growth in 2019. This doesn’t compare with Amazon’s strong double digit growth rate especially off its 50% share. At the same time, Amazon’s share of physical retail sales is next to nil and that’s where Walmart generates most of its business.
Both companies have a ton of data on their users. But while Amazon has transformed that into tech-enabled market intelligence, Walmart is a little behind in that race (although it’s already testing its own AI, visual search techniques, AR capabilities and the like). Additionally, Walmart has a much more comprehensive physical presence, so it is far better able to cater to popular formats with greater near-term relevance like order online and pick up at store.
So the race is far from over and both companies look about evenly poised to capture a growing share of the market mostly at the cost of smaller players, or those with limited resources to really take technology support to all it can be, i.e. artificial intelligence, robotics, AR, et al.”
“’Last year, marketers spent $100 billion in paid media to drive traffic to websites, yet 98% of those visitors left without becoming customers,’ Yalif said.
Yalif, who was previously head of global product and vertical marketing at Twitter and who held leadership roles at Microsoft, Boston Consulting Group, Yahoo,
Intellimize’s product taps AI to generate bespoke webpages for each unique visitor in real time,
Yalif claims that in 2017 and 2018, Intellimize helped the average customer test 177 different ideas and 78 million combinations of webpages.
According to one paying customer — Looker — optimizations made by Intellimize’s platform drove five times return on investment by nudging prospective customers to content, demo requests, and other web forms.”
“The Stamford firm’s 2019 CIO Survey of more than 3,000 executives in 89 countries found that AI implementation grew a whopping 270 percent in the past four years, and 37 percent in the past year alone.
Banks are aggressively embedding AI intelligence into their operations
Light Information Systems, which has developed NLP Bots, has implemented AI within banks across several use cases such as marketing, risk mitigation, customer care, employee care, etc.
Throwing more light on the common uses of AI in banks, Animesh Samuel, Co-founder & Chief Evangelist, Light Information Systems, says the AI tools play an important role in Visitor Management, Targeted Advertising, Risk Mitigation, Customer Care and Employee Care.”