Algorithms



algorithms

Brief primer

  • An algorithm is a specific set of step-by-step directions to complete a job.
  • They could be used to run a player to play a song.
  • An spreadsheet to calculate financials of a mortgage.
  • Some others might be used in machinery to produce the 3d surfaces to specific contours.

They all have in common, they follow the specific set of instructions to get the job done, over and over as requested.

Uses of algorithms

  • One of the most notorious uses for algorithms are in the financial industries by hedge funds, investment banks and trading firms.
  • Another is the manufacturing industry, were algorithms are used in diverse applications including, driving machinery and robots.
  • And algorithms can be used in any business operation to help to increase reliability and accuracy of a process or workflow to deliver the expected job.
custom product

Industries

    Agriculture and Operations
    • Workflow optimization
    • Machine Learning for operations
    • Environmental cycles prediction
    • Alternative scheduling and supply paths
    Small Businesses and Retail
    • Customer profile optimization
    • Smart Stores and not touch solutions
    • Monitoring, Maintenance and failure prevention
    Supply Chain
    • Warehouses optimization
    • Route planning
    • Logistics and Transportation
    • Commerce and Trade
    Professional Services
      Customer Profile optimization
      • Lawyers
      • Medical practices
      • Management Offices and other service professionals
    Real State, Insurance, Health Care and many others...

Possibilities

    Validation
    • Definition of smallest set of data to explain a situation.
    • Eliminate variance, variability, bias.
    • Statistical learning, bootstrap, training data sets, test data sets.
    Issues idenfication
    • Time scales
    • Data sizes and scale
    • Different measurements accuracy
    • IoT vast data availability impacts on time and measurements variability
    Failure and anomaly detection
    • Monitor and analysis
    • Failure prediction
    • Customer order prediction
    Dynamic behaviors
    • Events and decision making signatures
    • Multiple-sensor data sets signal analysis
    • Intelligent data sampling

STHAL algorithms improve operations performance, with technology long used by big corporations and now affordable to individual practitioners and small businesses.
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