Machine Learning

10 Ways to Find Savings Through Analytics

Posted: 07/09/2019 - 06:48
Businesses need faster and more comprehensive spend management solutions, without the need for additional subject matter experts. To this end, our clients have benefited from improvements in insight and service delivery using 4C’s analytics platform 4Spend. Here are ten ways in which new savings can be found using analytics. 
 
1.) Categorisation and Benchmarking 
 

When the Future You Anticipate Never Arrives: Ensuring Your Expected Outcomes Are Accurate

Posted: 05/10/2019 - 01:33
Today, where machines make decisions, the notion of the “right set of data” becomes a lot harder to understand. This is because machines learn differently than we do. In addition, the rationale for the output that they produce is more difficult to reconstruct. Machines do not have the intuition or the critical reasoning that can help to elevate or discount one data point over another. Input data must be free from bias, representative and as accurate as possible. 
 

What’s Ahead for 2019: Doing More With Intelligent Technology

Posted: 02/19/2019 - 00:27
Intelligent technologies are changing the supply chain game everywhere. The simple fact is that intelligent technology is what often separates the leaders from the followers in today’s digital economy. Technologies like the Internet of Things (IoT), machine learning and predictive analytics help organizations derive greater value from their most valuable corporate asset: their data. Here are some specific thoughts.  
 
IoT, Machine Learning and Data Analytics Will Deliver Competitive Advantage   
 

How is automation impacting the job market?

Posted: 08/21/2018 - 21:23
 
Automation within the job market is one of the key issues of our time. It often provokes speculation of a future resembling science fiction narratives that have been around for decades.
 
On the extreme end, there’s SkyNet becoming self-aware and a team of terminators hunting humans down. On the softer end there’s WALL-E, where humans don’t have to lift a finger and grow lazy as robots cater to all their needs. Either way, humans aren’t needed for work.
 

The Comeback Kid: it’s time to look at AI again

Posted: 01/08/2016 - 00:40

The first ever meeting of Artificial Intelligence (AI) experts held in 1956 ended with a declaration from delegates that intelligent computers would be a commonplace in our lives in that decade or soon after. However, progress seemed to be illusory and the disappointment of Expert Systems at the start of the 1980s meant for many business leaders, AI came to mean ‘big hype’.

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