Pretty much every week, we saw one IT giant after another coming up with “open-source” frameworks for ML / Advanced Analytics. IBM most recently announced SystemML (http://researcher.watson.ibm.com/researcher/view_group.php?id=3174) – specializing on abstraction and model generation. Microsoft announced just 2 weeks ago: DMLT – Distributed Machine Learning Toolkit — http://www.dmtk.io/ Intel announced just before their TAP (Trusted Analytics Platform) – http://trustedanalytics.org/ –; …
Traditional approaches to analytics provide plenty of analysis after the event but often struggle to give business users the information they need to make a complex decision in real time. Analytics powered by in-memory computing will fix that. In-memory computing enables real-time predictive and prescriptive analytics to be embedded in transaction processing systems. These capabilities will be crucial in the world of digital business, but their adoption may be disruptive.
Organizations today are swimming in data, but most of them manage to analyze only a fraction of what they collect. To help build a stronger data-driven culture, many organizations are adopting a new approach called self-service analytics. This O’Reilly report examines how this approach provides data access to more people across a company, allowing business users to work with data and create their own customized analyses.
Departments are under pressure to deliver results that justify the money spent and resources utilized, which means organizations must measure return on investment and other key performance metrics. To do this, they first must prepare the data for analysis. But doing so is challenging using spreadsheets. An increasingly popular choice for data preparation is cloud-based dashboards, which are affordable and can put actionable information in the hands of business people quickly.
Spark is a favourite among developers and data scientists, but why would a CIO need to know about it? John Leonard asks delegates at Spark Summit Europe for their views ,Developer,Open Source,Business Software ,Big Data,Apache Spark,Databricks,IBM,ING Bank,Yahoo,MapR,Hadoop,Talend,open source,Cloudera,software development,data science
The era of the personal computer is giving way to the new personal cloud age. This will enable new levels of flexibility and functionality for users, but will challenge enterprises to rethink how they deliver services to users.
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