EZINE:
The Nordic region, known for its startup companies, is a good platform for fintech companies to set up as consumers are conducive to digital banking services. In this issue, discover how major companies in the financial industry are partnering with startups and launching fintech initiatives and much more.
EZINE:
Technology advancements in recent years have brought about huge social challenges. Artificial intelligence and big data, for example, have gained the serious attention of policy makers across the world.
WHITE PAPER:
Access the following white paper to uncover how The HP Big Data Discovery Experience can help your organization accelerate its ability to derive value from Big Data, so you can take advantage of opportunities to drive new revenues, improve efficiencies, reduce risks, and lower costs.
WHITE PAPER:
This white paper introduces a security solution that applies big data capabilities to help organizations to keep pace with today's advanced threats and prevent attacks before they happen.
WHITE PAPER:
In this informative resource, you'll learn how to easily use Excel to extract data from your database in a way that facilitates further analysis and uses standard Excel functions. Discover the 12 functions your database must support in order to turn Excel into an advanced BI tool.
WHITE PAPER:
This technical resource examines three key new features of SQL Server 2014 that deliver mission-critical performance, faster data insights, and migration of data to the cloud.
EBOOK:
In this expert handbook, learn why combining business rules and predictive analytics to create decision management systems is becoming common, according to Mike Gualtieri, a principal analyst at Forrester Research Inc. Discover the critical first step of decision management, what it involves, and how it can benefit your organization.
EBOOK:
Overcome the four biggest challenges of moving mainframe data to Hadoop: data integration, skills and expertise, security, and escalating costs.
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.
