Recipes for Answering The Two Questions That Drive Data Scientist Crazy. Building deep learning applications in the real world is a never-ending process of selecting and refining the right elements of a […]
Which Model and How Much Data?
Unlocking the potential of Big Data
As machine learning and predictive analytics become more sophisticated, companies can base decisions on evidence, and deep learning will push the boundaries even more, with better problem-solving and language comprehension. Are you […]
How business analytics and intelligence will modernize the business world
Business organizations are turning to advanced software solutions to decrease workloads, mitigate risks, increase profitability, and ensure competitiveness. Initially business intelligence and analytics collect and analyze data and apply predictive analytics to […]
The Big Data Problem That Market Research Must Fix
Today’s businesses see market data as a commodity. Readily accessible information about consumer activity and preferences allows market researchers to develop large data sets to mine for consumer insights. And indeed, a […]
Do you really need a data scientist?
Just “plugging in” a data scientist in your databases won’t deliver the expected results. First, you need to ensure your data is actually valuable. Your company has data — and it’s likely a lot […]
Analytics Excellence is the Relentless Pursuit of Driving Growth and Profitability
According to IDC’s Digital Universe study, “digital data is doubling in size every two years; and by 2020, the digital universe is expected to contain nearly as many digital bits as there […]
The Amazing Ways TD Bank, Canada’s Second-Largest Bank, Uses Big Data, AI & Machine Learning
TD Bank Group is a leading Canadian bank and the sixth largest bank in North America by branches, employing more than 85,000 people. The bank provides its services to around 25 million […]
