Machine Learning

The Six levels of Application Performance Maturity

Level 1 Hope & Pray Many companies build business applications iteratively, starting with a proof of concept and then using creative internal and external talent to build out the concept into a working prototype. Which is then extended into product. I’ve seen systems built this way that deliver very powerful innovative ideas. The challenge is [...]

Machine Learning And Artificial Intelligence – Know The Real Differences

Is there any difference? Really? Because most of us have been using the terms artificial intelligence (AI) and machine learning (ML) interchangeably since their inception. You’ll be surprised to know the thin-line differences that these two phenomena hold in the tech world. So, to begin: The analogy between ML and AI This has been a sensible practice among us [...]

Building a Foundation for Machine Learning Across Your Organization

A wave of obsession for all-things machine learning (ML) has washed over the technology and business communities — and society more broadly — in the last several years, and understandably so; machine learning-enabled products and services can present myriad benefits to an organization— not least the ability to harness large swaths of data to make previously tedious tasks more easy [...]

By |Machine Learning|

How Machine Learning Is Changing the World — and Your Everyday Life

Machine learning is one element (perhaps the driving force) of AI, whereby a computer is programmed with the ability to self-teach and improve its performance of a specific task. In essence, machine learning is all about analyzing big data -- the automatic extraction of information and using it to make predictions, decipher whether the prediction was correct, [...]

By |Machine Learning|

Top 4 Machine Learning Use Cases for Healthcare Providers

Machine learning is generating a lot of excitement amongst healthcare providers, but what are some of the top use cases for these advanced analytics tools? Here are some of the top initiatives and most intriguing research projects that are currently harnessing these tools. Imaging analytics and pathology Improving imaging analytics and pathology with machine learning [...]

How (and whether) to implement machine learning in your organization

Machine learning is making substantial impacts on businesses around the world, but many organizations struggle to understand where and when to optimally use ML. To enable successful deployments, businesses must first recognize which problems are most amenable to ML and, second, ensure the right processes are in place to evaluate its impact. In general, ML [...]

By |Machine Learning|

Will machine learning be a good choice for your organization?

With the existence of high-scale business computing becoming mainstream with the Internet and the arrival of cloud computing, machine learning is in a position to drive business benefits on a large scale. When implemented accurately, ML can help you solve large business problems with the potential of adding revenue or reducing dollar spending in a [...]

By |Machine Learning|

10 ways machine learning can optimize DevOps

Successful DevOps practices generate large amounts of data, so it is unsurprising that this data can be used for such things as streamlining workflows and orchestration, monitoring in production, and diagnosis of faults or other issues. The problem: Too much data. Server logs themselves can take up several hundred megabytes a week. If the group is using [...]

By |devops, Machine Learning|

A Primer On Deep Learning

A Primer On Deep Learning - The term “artificial intelligence” (AI) has been around since the 1950s, but there has long existed a yawning gap between what people thought AI to be and what was actually possible. Since the 1960s, much of what has been considered to be AI has been a form of machine [...]