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:
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.
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:
The following white paper explores the importance of leveraging analytics in big data initiatives. Learn how analytics supports decision-making on all fronts, the challenges involved, and technology recommendations to make this all work.
WHITE PAPER:
This resource explores how businesses big and small are navigating the challenges of a big data 2.0 world, and explains how predictive analytics can turn big data into business value.
WHITE PAPER:
This technical white paper describes the deployment of Intel® Distribution for Apache Hadoop on Dell PowerEdge Servers. Read on to learn how to streamline Hadoop implementation, optimize big data management, and more.
WHITE PAPER:
This brief resource introduces a platform that gives you the power to create customized BI content and embed it into applications and processes for relevant, contextualized business intelligence.
WHITE PAPER:
Access the following white IDC research paper to uncover the requirements for a big data implementation and what you can do to successfully address the needs of BDA.
EBOOK:
This expert e-book chapter will provide IT, BI and analytics managers with information on the current state of big data adoption and advice on how to prepare for and launch projects. Inside, you'll discover key issues to consider in the big data technology evaluation and selection process.