We typically think of quantitative scales as linear, with equal quantities from one labeled value to the next. For example, a quantitative scale ranging from 0 to 1000 might be subdivided into equal intervals of 100 each. Linear scales seem natural to us. If we took a car trip of 1000 miles, we might imagine that distance as subdivided into ten 100 mile segments.
Retailers are saying goodbye to intuitive guessing based on old-school data-gathering methods to convert customers. Welcome to the age of machine learning in retail, where online and brick-and-mortar business leaders can not only automate operational tasks and align product description with retail sales strategies, they now can accurately predict consumer behavior and personalize customer experience better than ever before.
If certain retailers have not considered implementing machine learning into operations, it’s high time that they do.
Top analytics and business intelligence platforms have been making it easier for end users to get self-service insights. The next step in their evolution is augmented analytics, according to market research firm Gartner.
SAI Global Compliance, LogicManager and Nasdaq BWise are among the leading products in the GRC software space, according to a new Forrester Research Wave report.
iboss CEO Paul Martini tells us why AI and predictive analytics are crucial to reducing the burden on security staff in the enterprise.
MuleSoft's data management and integration products and services would complement Salesforce's AI investments.
Jones' duties include overseeing partner, alliance and OEM operations at the business analytics software company.
After previously investing in Mulesoft, it looks like Salesforce may finish off the deal and is in advanced talks to acquire the data management software provider altogether, according to a report from Reuters this morning.
Mulesoft works with companies to bring together different sources of data like varying APIs. That’s important for companies that have data coming in from all over the place, whether that’s online applications or actual devices, and the company says it has Netflix and Spotify as customers.
In a week when all eyes are on Facebook and the subject of how data about us on social media platforms gets used without us knowing, there’s been some consolidation afoot in the world of media-based big data services. DataSift, the London-based company that pulls data from conversations across social, news and blog platforms, anonymises it, and then parses it for insights for third party organizations, is being acquired by Meltwater, the company originally out of Norway but now based in San Francisco that provides business intelligence services such as media monitoring and AI analytics on internal business communications.
The new regulation will inspire processes and programs that safeguard personal information and will become a differentiator for many firms.