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AI and Governance

Artificial Intelligence, statistical analysis, and advanced analytics are becoming both fashionable and critical for organizations to grow, thrive, and evolve to new levels.

Tom Davenport once said that “Whenever knowledge technologies are applied to business problems, it’s tempting to attribute the benefit to the technology itself…. Certainly it requires an IT organization that knows the business and can work closely with key executives and knowledge-rich professionals. A ‘back room’ IT group could never successfully build a system of this type.”*

Before data science applications became fashionable, the BI (Business Intelligence)/DW (data warehouse) industry blazed trails restating operational data for use by analysts. As vendors began to capture unprecedented amounts of data, business and IT analysts found that business data was scattered among multiple systems, related to different “master” data, neglected data elements important to the business, couldn’t correlate data for physical activities, and lost historic data. Not to mention acquisitions, system migrations, and ERP systems. Transformation and cleansing hasn’t gone away, so everyone needs the same transform/cleanse/govern power that has been used for past DW projects.

Controlling information is a recent corporate governance push. Business and IT managers have new responsibilities to monitor and govern information:

  • Corporate policy compliance and regulation (who sets corporate architecture and legal policy)
  • Manage risk and general data security (how the business can use data)
  • Master data management and data quality (what are the common business metrics and measures)
  • Classify data, identify personal information (PI), and specific data security (who can’t see it; who masks it)
  • Data and process stewardship (who gets to analyze it)
  • Data lifecycle management (when to archive it)

The “Just give me a dump of the data and I’ll load it onto my laptop” days are changing to “I’ll feed a governed set of data to your application so that we have a record of its use and we don’t create hard copies of the data.” The good news is that the tools are powerful, the transformation and cleansing is unmatched, and the information can be connected to business terms and quality metrics.

At Integration Expert, we train your business and IT personnel to integrate and govern with Information Server directly supporting data science applications. You can cross-connect with other key business areas such as Business Intelligence (e.g., enhance BI reports with derived statistical scores or AI indicators). At the same time, we will support your business and IT managers governing these analyses and information.

There are many reasons corporations justify governance programs. Here are a few examples.

*Thinking for a living: How to Get Better Performance and Results from Knowledge Workers (Tom Davenport, HBS Press, 2006)