Distrust in AI is the reason that the gap between supply and demand in the Canadian business market is growing. While there is visible growth of companies that offer new products and services using AI technologies the AI adoption among Canadian businesses is stagnant.
We discuss the 4 major retail industry technology trends: Mobile Computing, The Internet Of Things, Consumerization of IT, Data Science and Big Data, Cloud Computing.
My main learning from Big Data Toronto 2018 was how organizations are pushing boundaries of BigData and AI to create new ways of generating value to consumer and society.
Now is the right time to conduct your mobile search experience audit and create a plan which updates are required to make sure that the switching to mobile–first indexing does not have a negative impact on your eCommerce site search ranking. Learn what should you do base on the site type.
Many presenters at Big Data 2017 were showcasing examples of leading edge Big Data solutions already working to benefit their business.
The top 5 Technology Areas that Impacting Retail in 2017 and beyond are Mobile Computing, The Internet Of Things, Data Science and Big Data, Cloud Computing, Consumerization of IT. The new generation of successful retailers thinks like a technology Innovation and data company.
Big Data Is Still Like Teenage Sex. Do we see enough change in Big Data area that makes this phrase not applicable anymore?
The last week session was an interesting mix of presentations on various topics in data mining. I was particularly interested in one of the topics – Recommender System In Retail that have been presented by Pramod Dogra and Iqbal Habib from Shoppers Drug Mart (SDM).
Review of Big Data Innovation Summit presentations with industry examples: social media, education, email marketing, retail, and cross-channel marketing.
The big data and privacy challenges are about how to provide more intelligent and personalized experiences to customers but avoid the dark side of Big Data.