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. … Continue reading OpenText acquires Hightail (formerly, YouSendIt)
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 … Continue reading ECM and Machine Learning – What are Box, IBM, OpenText and other Vendors doing?
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 … Continue reading Machine Learning for Personalizing Digital Experiences
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 … Continue reading Blockchain for Information Management
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 … Continue reading Using Factor Analysis to reduce number of attributes
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 … Continue reading Machine Learning as an alternative to rule based processes
In my last post, I provided an overview of how to measure impact of a digital or social media initiative. But before you can measure the impact, you need to be able to create an inventory of what all activities in your organization can use these media. In this post, let's look at the findings … Continue reading Some data from my social media survey
While there's a widespread usage of digital and social media within organizations' value chains, there are several questions that I hear often. E.g., How do you measure the impact of these initiatives? There are several use cases for which social media can be used. How do you actually prioritize these and decide what you want … Continue reading How do you Measure the Impact of a Social Media Initiative?
As you might be aware, I am currently doing my PhD from the Faculty of Management Studies, University of Delhi. The topic of my PhD is: Social Media for Competitive Advantage. Basically, the idea is to understand usage of Social Media, and map it to Porter’s concept of Competitive Advantage. Here are some details. I’d … Continue reading PhD update – invitation to participate in my research
In an earlier post, we looked at how digital workplace and marketing professionals can categorize the IoT marketplace based on device dependencies. Another way to categorize the marketplace is in terms of device screens. Absence or presence of a screen Most Internet devices that users have so far interacted with — computers, mobile phones, tablets … Continue reading Categorizing IoT Devices and Wearables Part 2 – Screen Dependency