Global Bigdata Conference

One of the most important things a business can do when its using AI products or creating custom AI projects is to make sure all the relevant data can be used as inputs. AI and machine learning are hungry for data and work best when the algorithms are using large datasets. The predictions generally become stronger the more data with important signals there is to work with. But wrangling and assembling all the data is difficult: in most projects, whether AI or analytics-focused, it's a huge undertaking to assemble all the data needed. This has never been truer than now, in the era of big data, when companies have so many data sources and formats to work with.