rss

Stephen Wise Blog

Integration Professionals. We dramatically improve traction.

Images/inprof/Blog/StephenWise.AI.jpg

Artificial Intelligence ABC | Stephen Wise

According to Google's CEO, “AI is one of the most important things humanity is working on. It is more profound than, I dunno, electricity or fire”. The head of Tesla said AI was probably humanities “biggest existential threat”.

Artificial Intelligence isn’t a new concept. Check out the beautifully filmed movie, Metropolis, from 1927. There are other older references in literature. There are also many more recent research and practical applications of "Artificial Intelligence" over the last thirty years.

Today, it is a field of computer science dedicated to solving certain problems which otherwise require human intelligence – specifically, pattern recognition, learning, and generalization. The leap forward in the last few years is that we are gaining the ability to collect, store and analyze ever ginormous amounts of data.

Yesterday, we could write a computer program to predict when it is a good time to cross-sell or up-sell a specific product to a consumer. For example, based on some demographic data and purchase history. The explosion of travel/points programs in the 90's are good examples of this. You agreed to provide your purchase history and demographic data in return for points and the sponsor of the program received data useful for targeted marketing. In these programs, all the rules were hard-coded.

Tomorrow, we can start with the original algorithm to predict the cross-sell opportunity. Then merge it with ever ginormous data collected and the ability to analyze for new patterns. Instead of relying on the initial algorithm to predict the sales opportunity, the system will rely on additional characteristics that it detects and validates within the very data to alter the business rules it relies on. 

Cool.

But how will it impact the industries around us?

According to the first futurist I followed, Roy Amara, "We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run," coined by Roy Amara, past president of The Institute for the Future.

Here are sample industries and applications. Wherever we have complex systems – people can get overwhelmed by the amount of data and selecting the best course of action. AI is being applied in research setting today in many fields to use what we already know in better and faster ways.

Keep in mind Roy Amara.

  1. Medical
    1. Diagnosis, Drug design/mfr, ICU monitoring
  2. Education
    1. Guided learning, Automated testing and marking
  3. Manufacturing
    1. Quality checking, Supply-chain communication, Maintenance detection
  4. Energy
    1. Demand prediction, Supply distribution

 

I ask that you take a few minutes right now. Take a sheet of paper, write down the industry you are in at the top. Along the side, list of major business processes you have along the left. Then, along the right, write down some notes about cost savings you could reap if you were able to improve your ability to predict the issues during the process or the outcome.

It may be that one day, the implementation of AI to that process will lead to exponential benefits in your business.

 

P.S. Feel free to share your analysis via email – I’m interested your findings.

 

Stephen D Wise

Stephen Wise Integration Professionals

Dramatically Improve Traction

 



Comments are closed.

Tags

tag agile excellence itil pmi prince2 project management baseline change request earned value issues methodology project manager schedule tools value wbs issue status leadership productivity project managment recovery scope turnaround ac ev pv benefits collaboration communicate communication culture data integrity drivers failures fast faster ideas investments mehtodology portfolio prioritizing project selecting speed sponsor success closure cost duration effort estimating execution forecast initiation lifecycle pert planning project 2010 risk three-point estimating work effort business challenge development disadvantage elite global growth hiring loyalty market perks race solutions staffing standards talent tb1 team unemployment brazil change china diversity employee environment factors fit hire mobile personnel skype tb4 turnover twitter virtual 90 days hires metric new on-boarding watkins challenges firms looking plan shifting tb9 work aging developed developing ethiopia germany japan population qualified skilled workers workforce certification economy experience gaps industries innovation intelligent knowledge modern quality sales soft skills tb2 education lack tb3 training business case implementation outcome Strategy customer dashboard executive long-term management results time closing executing flowers photography spring apology sorry stephen wise trudeau resilience Future-State Business-Value Transformation cybersecurity Merger healtcare IoT Artificial Intelligence Vision Clarity Decision-making skills Artificial Intelligence business solutions Business innovation with AI Transformative AI services drones tesla Mergers Synergy banking block chain cryptocurrency ledger middleman satoshi toronto AI in Supply Chain Sustainable Logistics Practices Omnichannel Supply Chain Management #AI #ai #entertainment #trends