6 Lucrative ways to leverage big data – Linnworks

I’d like to share this infographic produced by Linnworks titled “6 Lucrative Ways to Use Big Data in eCommerce.” They’ve done a really nice job and the content is well written. The only potential gap is the fact that they don’t mention the importance of AI (artificial intelligence) and the role that it plays in leveraging big data to accomplish the 6 goals. You’ll notice that both retailers (Amazon and Walmart) and every company generating the data (Google, Facebook, YouTube, SnapChat) are all of the forefront of developing and implementing AI technology. The power and the lift is generated by combining AI + Big Data.

IBM has announced AI OpenScale

“IBM has announced AI OpenScale, a service that aims to bring visibility and explainability of AI models for enterprises.

Initially, the service supports models deployed within IBM Watson. AI OpenScale can be used with 3rd party platforms such as Amazon SageMaker and Azure ML running models developed in TensorFlow, Keras, Scikit-Learn, SparkML and PMML. The service logs the input and output from external services for further analysis.

According to IBM, NeuNetS can help businesses reach accuracy similar to that of an expert-designed AI model in a matter of hours, rather than weeks and months. An expert data scientist can then further tune the model.


Sales gains of 6-10 percent, a rate two to three times faster than other retailers

Ecommerce continues to grow at an incredible rate, especially with 51 percent of Americans now choosing to shop on their computer or phone from the comfort of their home. Retailers that have implemented personalization strategies see sales gains of 6-10 percent, a rate two to three times faster than other retailers, according to a report by Boston Consulting Group(BCG).


Google Makes AI Dominant In Niche Categories For Search

“Brands running organic search strategies on Google should closely tailor the content to their niche market because that’s how the search giant helps marketers pinpoint the messages that satisfy the query. It’s called automation through machine learning and artificial intelligence, a Searchmetrics study released this week explains.

E-commerce sites are still high in the query results despite the fact that more images sometimes make pages load more slowly.

The Searchmetrics ranking factor study for 2018, which analyzed 4,000 keywords on google.com, identifies the type of content the search engine considers the most important and then serves that content high in the search results for eight niche categories that include weight loss, travel destinations, furniture, and financial planning.”


‘AI and machine learning are fundamentally improving the core e-commerce experience’ – SEAN MULLANEY

“While at Google, Mullaney served as the head of big data and insights, leading the team that built next-generation sales systems that leverage large quantities of data, to enable sales consultants to effectively engage with advertisers. He also served as the head of sales operations for EMEA at Google Dublin, helping drive execution for a region with thousands of sales consultants and billions in revenue.”