Future of Programming Languages

Robert Martin talks on the past and future of programming languages.   Always thought we would be much closer to very visual and service oriented methods by now.   Or even completely automated, robotically assembled systems.

The Future of Programming

Have become involved in looking how algorithmic knowledge is stored lately, and this has required looking at alternative coding methods.  Visualization of process is a key element to describe the related knowledge to decision makers.  The future of coding is important.  In Infoworld.

Data Mining and Reporting Blog

Brought to my attention,  The Data Mining Reporting Blog, by Rosaria Silipo, Principal Data Scientist at KNIME.com AG.  The blog covers data analytics in general and not only KNIME.  Have added it to my reading list, looks to have some excellent technology value.  See the latest post:  Anomaly Detection for Predictive Maintenance with Time Series Analysis  ... of particular interest.

Re-using Analytics Models in the Enterprise

Just revisited the Knime open source analytics visualization capability. In particular for the ability to   re-use templates for analytics in the enterprise.   Anyone out there doing this today?  The visual workflow method is appealing, though still technically less that easy for a non developer.  Could such a system help to automate the design of analytics based on a business process model?  Provide off the shelf models for given process model segments?

KNIME Analytics

Brought to my attention, have not looked at closely, but one of a large number of packages available today.

KNIME - Professional Open-Source Software
KNIME is a user-friendly graphical workbench for the entire analysis process: data access, data transformation, initial investigation, powerful predictive analytics, visualisation and reporting. The open integration platform provides over 1000 modules (nodes), including those of the KNIME community and its extensive partner network.

KNIME can be downloaded onto the desktop and used free of charge. KNIME products include additional functionalities such as shared repositories, authentication, remote execution, scheduling, SOA integration and a web user interface as well as world-class support. Big data extensions are available for distributed frameworks such as Hadoop. KNIME is used by over 3000 organizations in more than 60 countries.