Allow the Machines Can It

by ,

Do longer, with less. That has been a guiding principle of several businesses through the last few years and doesn’t seem to be changing shortly. To achieve this, companies implementing efficiencies with Six Sigma or Lean methodologies and have been seeking. It’s very likely that you have felt your function for this downward pressure and have needed to find imaginative or painstaking ways to get it done !!

Considering the future, the definition of “with less” might really mean “with much more”. Doing more, with MORE processing energy data autonomous systems and MORE insights – with LESS attempt that is manual!

Artificial intelligence theory and calculations have existed for a long time, dating back to the mid-20th century, and why is this important now? Well, although the theory did exist, we were not ready for widespread machine/deep learning. That’s changed for several reasons:

  • Availability of information — lots of businesses finally have a wealth of their exact data points that are necessary to producing correctly trained models which create significant outputs. Businesses have the capability to bring in new data sets to use as factors that have not been used before to drive decisions. Bringing in fresh data sources might assist in identifying clusters which can be used for forecast, recommendation, or classification, and patterns, connections.
  • ComputingElectricity — important technological advancements have contributed to tremendous processing power at affordable prices.
  • TheCloud — massive infrastructures are made available to people without requiring substantial capital investment.
  • Platforms — growth of industrial “off-the-shelf” machine intelligence platforms make the application of system intelligence and neural systems much more user-friendly and enables integration to induce action.
  • AllMattersareConnected — Connected Computers, Mobile Devices and the IoT creates those outputs even more usable and actionable across several businesses.

Just how can this help you?

Without the “why”, there is no “perform”. All of these improvements in data and technology provide us with attainable opportunities to efficiently transform data to real business action, autonomously. We are now better equipped to streamline procedures that we never implemented on due to insufficient bandwidth, or just have spent great amounts of funds to run. As an instance, continuous upgrades of weather-driven advertising, event-based content, and demand forecasting.

Beyond the automation of processes that are difficult lies the possibility of leveraging learning to stabilize disruption and change. There’s an chance for machines to associate data points so as to recognize patterns and identify connections which we would not have been in a position to discover, without significant attempt, before learning. All businesses are at risk of disruption and change now, but imagine having the ability to comprehend changes since they’re happening and adapt to them. Here is the fact of automation and machine learning.

Use machine intelligence & profound learning by initiating autonomous abilities eliminates or reduces the activities and procedures which are time-consuming, manual, need data preparation, or are analytical. What once seemed impossible is now quite real, and there are many nuances although granted this isn’t a simple flip of a change. By deploying “smarter” systems or processes, we could apply increased emphasis to the core of our businesses – providing seamless, beautiful, and customized user/customer adventures or products resulting in increased sales, productivity, and customer satisfaction!

It is time to replicate the contest and do it, or instead… have the machines do it!

About Anexinet

Anexinet is a leading skilled consulting and solutions firm, providing a broad array of services and options around digital disruption, analytics (and large data), along with hybrid vehicle and personal cloud strategies. Anexinet brings insight to how technology will impact our clients interact with their customers later on and also business decisions will be made.

Chris Young Solutions