Whitepapers
Datanami's white paper database contains reports from the leading thought-leaders and idea generators in the Datanami industry. 
Like other powerful technologies, AI and machine learning present significant opportunities. To reap the full benefits of ML, organizations must also mitigate the considerable risks it presents. This report outlines a set of actionable best practices for people, processes, and technology that can enable organizations to innovate with ML in a responsible manner. Read more…
The way we currently measure potential borrowers’ and other customers’ creditworthiness is broken. The credit scores that have become the gold standard are narrow, opaque, and easily manipulated measures that reward financial risk-taking and ignore responsible behaviors. Read more…
“Analyze-then-Store: The Journey to Continuous Intelligence” is a technical eBook intended for data architects and anyone else interested in learning how to design modern real-time data analytics and continuous intelligence solutions. Read more…
In this whitepaper, Eckerson Group discusses how to get maximum value from data lakes and how Qlik’s Data Integration Platform helps businesses get the most value out of their data lakes quickly, accurately, and with the agility to respond to shifting business needs. Read more…
Feature selection is a key step in building powerful and interpretable machine learning models, but it’s also one of the easiest to get wrong. The wrong features will give you inaccurate answers and may impact your ML models’ efficiency in ways you can’t predict. Read more…
Your machine learning models are only as good as the data you’re using to train and test them. So, how can you improve your datasets? This guide breaks down simple strategies to acquire better data and quick approaches and methods to fine-tune and manipulate your existing data will get you better testing results and insights. Read more…
If you’re developing or thinking of developing an AI strategy to transform your business, there’s a lot to consider, let us help. We’re the creator of the leading open source machine learning and artificial intelligence platform and our vision is to democratize AI for all and empower every company to be an AI company. Read more…
BI has become a must-get for any company, and while it does offer some great value, what are you really getting from it? Although BI is great at visualizing your data and giving you digestible reports, it’s hard to make predictions and automate your insights to really optimize your operations. Read more…
Hadoop is a popular enabler for big data. But with data volumes growing exponentially, analytics have become restricted and painfully slow, requiring arduous data preparation. Often, querying weeks, months, or years of data is simply infeasible, and organizations succeed in analyzing only a fraction of their data. Read more…
Modern cloud architectures combine three essentials: the power of data warehousing, flexibility of Big Data platforms, and elasticity of cloud at a fraction of the cost to traditional solution users. Read more…
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