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:
In this week's Computer Weekly, we look into Apple's controversial plans to build a huge datacentre in a small town in the west of Ireland, and the local arguments it has caused. We find out how the Met Office is managing its vast quantities of weather data. And we examine Google plans to bring AI to the recruitment market. Read the issue now.
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.
EBOOK:
In this expert e-book, find out why in a recent TechTarget survey, predictive analytics was the top choice for planned BI and analytics investments, and how adoption of Hadoop has already allowed major companies to take the next step in big data management.
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:
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.
CASE STUDY:
This case study reveals how the right appliance enabled leading oil supplier Petrol d.d. to dramatically decrease analytics query times – allowing the company to effectively use historical and transactional data to increase retail sales.
EBOOK:
Data science, predictive analytics and machine learning applications start with data collection and data mining tasks that set the stage for analysis. Learn how to manage your data mining tasks and data science applications to help ensure that your big data analytics program is in the corporate spotlight for all the right reasons.
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.
