What to Make of the Open Data Initiative from Adobe, Microsoft, and SAP

This post first appeared on the RSG Blog. Enterprise software giants SAP, Adobe, and Microsoft jointly announced an “Open Data Initiative” at Microsoft’s Ignite conference in September. To quote from the press release, ….the Open Data Initiative, which is a common approach and set of resources for customers based on three guiding principles: Every organization owns … Read moreWhat to Make of the Open Data Initiative from Adobe, Microsoft, and SAP

PhD update – Social Media for Competitive Advantage

So finally it happened. This week, I successfully defended, and earned my doctorate. I am now a PhD in Management. (Pic source: exloringhandhygiene.wordpress.com) My topic was “Social Media for Competitive Advantage – A Study of Select Indian Organizations”. As part of this research, an attempt was made to study how companies use social media and … Read morePhD update – Social Media for Competitive Advantage

EAI for Marketers – Customer Data Platforms

Cross-posted from LinkedIn Customer Data Platform (CDP) technology is an emerging category in the MarTech stack. David Raab coined the term and defines it as: “A marketer-managed system that creates a persistent, unified customer database accessible to other systems.” The rationale seems almost self evident. A typical enterprise interacts with its customers across multiple channels: one or more … Read moreEAI for Marketers – Customer Data Platforms

OpenText acquires Hightail (formerly, YouSendIt)

ECM vendor OpenText has acquired Hightail. Hightail, formerly called YouSendIt, offers a file-sharing and sync service. OpenText now has at least four file-sharing and sync services. In addition to Hightail, they have OpenText Core and OpenText Tempo Box. Documentum acquisition also gave them EMC Leap, which has some overlaps with cloud-based file-sharing and collaboration services. … Read moreOpenText acquires Hightail (formerly, YouSendIt)

ECM and Machine Learning – What are Box, IBM, OpenText and other Vendors doing?

There are many use cases in Enterprise Content Management (ECM) for which Machine Learning can be deployed. In fact, i’d argue that you can apply machine learning in all the stages of content life cycle. You can apply: Supervised learning e.g, to automatically classify images, archive documents, delete files no longer required (and not likely … Read moreECM and Machine Learning – What are Box, IBM, OpenText and other Vendors doing?

Machine Learning for Personalizing Digital Experiences

Personalization has always been a key aspect in almost all kinds of digital experiences. Some examples of commonly found personalisation use cases are: allowing users to customise their dashboards or user interfaces, showing content based on explicit user-defined criteria, showing content based on implicit criteria or even that based on user behaviour. All these required … Read moreMachine Learning for Personalizing Digital Experiences

Blockchain for Information Management

Blockchain is best known for its use by the alternative and controversial currency market and most notably Bitcoin. But Blockchain is not Bitcoin nor is Blockchain an alternative/crypto currency. Rather Blockchain is an underlying distributed ledger technology (DLT) that can be used in many different contexts other than Bitcoin. In fact, we are already seeing … Read moreBlockchain for Information Management

Using Factor Analysis to reduce number of attributes

In my last post on using machine learning for everyday use cases, i’d mentioned factor analysis as a way to reduce large number of items (e.g., news articles’ attributes) into smaller set of variables. Some people asked me for examples of this, so this post is an attempt to explain how factor analysis can be used for what … Read moreUsing Factor Analysis to reduce number of attributes

Machine Learning as an alternative to rule based processes

There’s a lot of discussion about machine learning these days and pretty much every one (vendors, users) is talking about it. I remember attending courses on Artificial Intelligence, Machine Learning and even Artificial Neural Networks back in 1998. So what’s new? How have AI and ML evolved? I think a big reason why everyone is … Read moreMachine Learning as an alternative to rule based processes