International Business Machines Corporation

Abhishek Kumar Gautam

Pijush Kanti Biswas

Biswajit Mohapatra

Siddhartha Sood

Kailash Chandra Verma

In an approach for augmenting contextual timeline markers on a virtual video conversation, a processor records a virtual meeting on a virtual meeting platform with one or more participants. Responsive to the virtual meeting chair ending the virtual meeting with one or more incomplete tasks, a processor creates an augmented recording of the virtual meeting, wherein the augmented recording includes a timeline composed of a plurality of timeline markers, wherein a timeline marker is associated with a conversation that occurs at a particular contextual conversation point during the virtual meeting. A processor enables one or more post-meeting collaboration enabled conversations between the virtual meeting chair and one or more nonparticipants, wherein the one or more incomplete tasks are completed. A processor requests feedback on a timeline marker response associated with the one or more incomplete tasks from a timeline marker creator. A processor applies the feedback received.

Augmentation of contextual timeline markers on a virtual video conversation

Computer assets within a defined network are identified using scanning services respectively connected to each of a plurality of network zones within the defined network. A plurality of interne protocol (IP) addresses within the particular one of the network zones are identified by a particular scanning service contained within the particular one of the network zones. The particular scanning service collects information associated with each of the plurality of IP addresses and infers, using the collected information, additional information about the plurality of IP addresses. The particular scanning service validates the additional information and presents analytics based upon the collected information and the additional information. Firewalls contained within the particular one of the network zones are configured to allow access by the particular scanning service.

Computer asset discovery for digital transformation

Determining network communication parameters by analyzing network packets at the communication endpoints to determine number of requests and responses; and determining from the number of requests and responses which are follow up requests. The follow up requests are characterized as communications being performed with a pull model. Notifications are provided of applications employing pull model communications with the client for conversion to push model.

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Delhi, India

Abhishek Kumar Gautam