Human-Led Collaboration with Machines

Why the Cloud? Processing, Exploitation and Dissemination

By G C Network | October 23, 2008

So why is the intelligence community so interested in cloud computing? Three letters: PED (Processing, Exploitation, Dissemination). Take these two real life examples from the publishing industry. Jim Staten of…

World Summit of Cloud Computing: “Enterprise Cloud Computing” work group

By G C Network | October 22, 2008

To leverage attendees of the World Summit of Cloud Computing, a kick-off meeting of the “Enterprise Cloud Computing” work group will be held near Tel Aviv, Israel on December 3,…

Cloud Package Management

By G C Network | October 21, 2008

In his post “Missing in the Cloud: package management“, Dave Rosenberg highlights a critical issue in the adoption of cloud computing by government agencies. “I dare say that a standard…

PlugIntoTheCloud.com

By G C Network | October 20, 2008

Information Week has just launched PlugIntoTheCloud.com as their cloud computing destination. In his Non Linear Thinking blog, Bill Martin calls it a movement aimed at “providing a source and forum…

Is the cloud computing hype bad?

By G C Network | October 17, 2008

From Gartner “Why a little cloud hype might be useful“: “It’s too simplistic to say cloud hype is bad . If we are technically expert is might irritate us with…

Stop the FUD (Fear, Uncertainty and Doubt) !!

By G C Network | October 16, 2008

Dan Morrill! Count me in !! In his excellent article, “Cloud Computing is Scary – But the FUD Has to Stop“,  Dan makes some excellent points: It is time to…

IBM, Microsoft and Google

By G C Network | October 15, 2008

On October 6th, IBM launched their cloud services initiative. This is a:  “[C]ompany-wide initiative that extends its traditional software delivery model toward a mix of on-premise and cloud computing applications…

Government in the Cloud

By G C Network | October 13, 2008

Back in mid-September, there was quite a thread in the Google Cloud Computing Group on the use of cloud computing by the federal government.  Some of the interesting comments were:…

CloudCamp Partners With SOA-R !!

By G C Network | October 10, 2008

I’m proud to announce that the final SOA-R Cloud Computing Education Event will be held in collaboration with CloudCamp. Now dubbed CloudCamp:Federal, the event will be held as an “unconference” to help…

Federal Cloud Computing Wiki

By G C Network | October 9, 2008

With the fast growing interest in cloud computing, the Federal Government community has established a Federal Cloud Computing Wiki. This wiki is managed by Dr. Brand Niemann, Senior Enterprise Architect…

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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