EZINE:
In this week's Computer Weekly, after the pandemic led to a boom in e-commerce, we look at how retailers are turning to tech to revitalise their stores. We examine the issues around using algorithmic automation to manage employees. And we find out how data science is supporting drug discovery at Novartis. Read the issue now.
EGUIDE:
Deep learning can help companies operate faster and more efficiently. In this 13-page buyer'sguide, Computer Weekly looks at the advanced tools available for developers building intelligentapps, the frameworks that can be used and the kit that can enhance a programmer's toolbox.
WHITE PAPER:
This resource introduces a data management and analytics approach that gives you the power to harness customer information to improve experiences and meet constantly changing consumer expectations.
WHITE PAPER:
The following white paper explores the current market need for higher performance analytics and introduces an all-inclusive analytics solution that can handle complex environments, big data growth, and scalability. Read on to learn how you can gain better actionable insights, save capital, and more.
EGUIDE:
Applying technology like machine learning to transaction data could significantly increase the proportion of money laundering activity that is detected. It is projects like this that are driving demand for data science skills. In this e-guide, read about the power of data against money laundering, and how to get the skills to turn data into gold.
CASE STUDY:
This case study describes how MSU leveraged business intelligence and predictive analytics to gain deep insight into an individual alum's potential to give.
EBOOK:
There's a lot of advice available on data governance best practices that should be adopted; this expert guide lists the top "worst practices" that your company needs to avoid. Read on to access a roadmap of red flags to alert you that your governance program may be heading down the wrong path.
WHITE PAPER:
Access this white paper to get an analysis of large data sets using three different tools that are part of the Hadoop ecosystem – MapReduce, Hive and Pig.
