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:
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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Human-machine collaboration (HMC) or human-in-the-loop (HITL) systems involve integrating human intelligence and decision-making with machine capabilities to achieve enhanced outcomes. Examples of HMC include augmented decision making, task automation with human oversight, collaborative robotics, machine learning model training, and creative collaboration Abogado de Delitos Sexuales Fairfax VA.
Human-led collaboration with machines involves the integration of human skills, creativity, and decision-making capabilities with the computational power, precision, and efficiency of machines. This collaboration leverages the strengths of both humans and machines to achieve better outcomes across various domains, including business, healthcare, and education. Benefits of this collaboration include increased efficiency, improved decision-making, enhanced innovation, and scalability. Challenges include trust and transparency, skill gaps, ethical considerations, and seamless integration Fairfax Domestic Violence Lawyer.
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