Whitepapers
Datanami's white paper database contains reports from the leading thought-leaders and idea generators in the Datanami industry. 
AI factories don’t generate value by chance—it’s the result of intentional design planning that aligns infrastructure with desired productivity outcomes. Yet many organizations lose more than half the value of their infrastructure investment due to inefficient design. Read more…
As enterprises adopt distributed applications, the ability to access data when you need it—whether from the cloud or on-premises applications—is vital to making data-driven business decisions. Using multiple data sources provides an opportunity to democratizing data use and increase data literacy by making corporate data more accessible to users. Read more…
The healthcare industry is facing a data explosion. Data generators play a crucial role by offering large, research-ready, and longitudinal data that researchers rely on to create transformative clinical value. Read more…
The digital business era, driven by artificial intelligence (AI) and generative AI (gen AI), demands unified, interoperable data to overcome challenges like data integrity and control concerns. IDC’s January 2024 survey of 881 respondents reveals significant investment in gen AI, emphasizing the need for centralizing intelligence about data. Read more…
With high-quality, timely data for your business intelligence and AI/ML initiatives, you can improve business efficiency, mitigate risks, enhance the customer experience, and improve insights for better business outcomes.
Learn how Reltio platform uses ML and gen AI to automate entity resolution, improve data quality, and boost data steward productivity—setting a new standard for efficiency and value in data unification. Read more…
Discover cutting-edge strategies to elevate your quant trading with our eBook, Seven Innovative Trading Apps and Seven Best Practices You Can Steal. This essential read explores advancements in data management, including streaming analytics, time-series data, generative AI, and vector databases. Read more…
“Quant Trading Data Management by the Numbers” is a must-read for financial professionals seeking to master the complexities of high-volume, low-latency, and time-series data in quantitative trading. This comprehensive guide explores the six core applications that drive capital markets, shedding light on the limitations of traditional databases. Read more…
In today’s data-driven world, financial organizations must harness innovative technologies to stay competitive. “Unlock 11 Insights to Boost Your Data and Analytics Performance” is an essential eBook that addresses the urgent need for rapid, reliable insights in Trading Analytics, Quantitative Modelling, and Risk Management. Read more…
Cost reduction is a key selling point of cloud data warehouses.
With serverless architectures, near-infinite compute and storage, and pay-as-you-go pricing, cloud data warehouses can make teams more efficient and cost-effective. Read more…
Have you ever tried driving real-time updates to customers from your data warehouse? Or optimized a conversion funnel using real-time data? If so, you’ve probably suffered the pain of pushing your data warehouse past its limits. Read more…
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