Human-Led Collaboration with Machines

Strategies And Technologies for Cloud Computing Interoperability (SATCCI)

By G C Network | March 4, 2009

As I alluded to in an earlier post, a major cloud computing interoperability event will be held in conjunction with the Object Management Group (OMG) March Technical Meeting on March…

Government Cloud Computing E-zine Launched

By G C Network | March 3, 2009

Today marks the launch of a new electronic magazine dedicated to addressing cloud computing within the government space. Over the last year during my personal exploration of this marketspace, I’ve…

NCOIC Plenary: Cloud Computing Working Group

By G C Network | March 2, 2009

Last week, I had the pleasure of participating in the NCOIC Cloud Computing Working Group. Led by Cisco Systems Distinguished Engineer, Mr. Krishna Sankar of Cisco Systems, the meeting purpose…

2nd Government Cloud Computing Survey – A Sneak Peek

By G C Network | February 25, 2009

This month, we’re in the middle of collecting data for our 2nd Government Cloud Computing Survey. to peek your curiosity (an to entice your participation) here is a sneak peek…

Government could save billions with cloud computing

By G C Network | February 23, 2009

In a recent study, published by MeriTalk, Red Hat and DLT Solutions, the Federal government could save $6.6 billion by using cloud computing or software-as-a-service. “Looking at 30 federal agencies,…

Cloud Games at FOSE 2009

By G C Network | February 19, 2009

ONLINE REGISTRATION NOW AVAILABLE Booz Allen Hamilton is launching its Cloud Computing Wargame (CCW)T at FOSE March 10-12, 2009 in Washington, DC. The CCW is designed to simulate the major…

IBM and Amazon

By G C Network | February 16, 2009

According to the Amazon Web Services (AWS) site, you can now use DB2, Informix, WebSphere sMash, WebSphere Portal Server or Lotus Web Content Management on Amazon’s EC2 cloud. “This relationship…

A Berkeley View of Cloud Computing

By G C Network | February 13, 2009

Yesterday, Berkeley released their View of Cloud Computing with a view that cloud computing provides an elasticity of resources, without paying a premium for large scale, that is unprecedented in…

Cloud Economic Models

By G C Network | February 11, 2009

One of the most important drivers of cloud computing in the Federal space is its perceived “compelling” economic value. Some initial insight on the economic argument is now available on…

Cloud Computing In Government: From Google Apps To Nuclear Warfare

By G C Network | February 10, 2009

Today, I want to thank John Foley of InformationWeek for an enjoyable interview and his excellent post, Cloud Computing In Government: From Google Apps To Nuclear Warfare. Our discussion covered…

When charged with managing large and complex efforts, an overarching project management task is risk assessment. It involves documenting the current situation, comparing it to the past, and understanding the odds of the past repeating itself. Since the past may never repeat itself, however, an insightful project manager also imagines the odds of any possible future outcomes.  Then the odds of past outcomes repeating themselves and the odds of new future outcome are tempered with the PM’s possible actions.  Executing this repetitive and continuous process is just one area where human-machine collaboration can change the future.

Machines do repetitive tasks well. They have perfect recall. Their forte is being able to record and document what has happened and from that, interpolate what will happen. They correlate the past and calculate the likelihood that those things will happen again. They interpolate and calculate the odds of what will happen in the future.

 

Humans imagine things really well. While their recollection of the past can be flawed, their creativity can be breathtaking. They intuit and sometimes see things without those things actually being there. Even with these flaws though, they can apply imagination to the whitespaces of reality and change the future. Those uniquely human capabilities need cause and structure, a skill referred to as common sense reasoning.
Since machines, so far, have been unable to exhibit an ability to use common sense reasoning, this observation becomes the heart of human-machine collaboration. Human-machine collaboration not only support risk-assessment tasks but can also help in:
  • Resource management
  • Prediction
  • Experimentation.

 

By augmenting human workers with machine intelligence, the project manager can gain access to more and different analysis. More robust analysis enables more informed decisions, the anticipation of dependencies, and better leadership. Improved leadership is also why leading organizations have reshaped the use of rapid analysis, flexible organizations, and team communication tools.
Cisco Webex Teams was developed to support this shift. Focused on bridging the gap between humans and machines, it uses human priorities to plan and schedule tasks. Webex Teams can also be used to document resource levels, record resource use, and alert humans should any previously set limits be breached. Using artificial intelligence and machine learning, this collaborative tool can even provide schedule and planning option predictions.
By enabling human-machine collaboration, Cisco Webex Teams not only sets a rapid pace towards the future but delivers some of that future today by:
  • Bringing team members together more easily through advanced messaging capabilities and content sharing.
  • Enhancing productivity during team-based meetings by allowing anyone in a space to schedule, start, and record meetings that can include up to 75 video users.
  • Providing the capability to share a whiteboard application or use Cisco Webex Board’s all-in-one wireless presentation, digital whiteboarding, and video conferencing functionalities.
  • Calling team members using the app, an IP phone, or a conference-room video device.
  • Reducing meeting setup friction with integrations to streamline workflows and bots to automate additional actions.

Cisco Webex Teams enables human-led machine collaboration, a partnership in which humans set the strategy and machines execute the tactics.

Read more in the series:

Welcome the New Project Manager!

 

Building A Collaborative Team

Artificial Intelligence and the Project Manager

This post is brought to you by Cisco and IDG. The views and opinions expressed herein are those of the author and do not necessarily represent the views and opinions of Cisco. 

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