In an attempt to put the patient first in healthcare, Congress and President Obama in 2015 approved a bipartisan bill for United States healthcare reform. The bill is known as “Medicare Access and CHIP Reauthorization Act of 2015,” or MACRA. Among the major provisions of MACRA is the Quality Payment Program. Under the Quality Payment Program, physicians and nurses receive positive, neutral or negative Medicare payment adjustments based upon a “Patient Satisfaction Score,” tha

Human brain is arguably the most complex material human kind will ever claim to fully understand. The complexity arises somewhat from the fact that there are many (different but compatible to each other) ways of talking about it. One way to talk about it is that it’s made of the same elementary particles as Martian sand dunes and obeys the same physical laws of nature governing violent collision of two massive black holes. Another way to talk about it would be that it’s guilt

Artificial intelligence or AI for short is the field of making computer think like humans by creating an artificial brain. Whatever the human can do intelligently is required to be moved into machines. The machine will just do what the human tells it and no more. For example, the human can sort numbers in an intelligent manner and so machines should be intelligent by sorting numbers like humans. To do this, there are a number of algorithms like bubble sort that allows the mac

Digital transformation is no longer a buzzword. No industry is left behind. We’re currently in a new wave of digital transformation with new technologies, processes, business models and opportunities popping up in the market faster than we can blink & think. All the companies are using big data, machine learning, cloud, smart devices and Internet of Things to achieve digital. But these are just means or vehicle to achieve it whereas you need a human to drive it. It is easy

As the world becomes smarter and smarter, data becomes the key to competitive advantage, meaning a company’s ability to compete will increasingly be driven by how well it can leverage data, apply analytics and implement new technologies. In fact, according to the International Institute for Analytics, by 2020, businesses using data will see $430 billion in productivity benefits over competitors who are not using data. So, it’s clear that data is now a key business asset, and

The Federal Bureau of Investigation (FBI) is the national security service of the United States, which has both intelligence and law enforcement responsibilities and employs over 30,000 people. After the 9/11 terrorist attacks the FBI reviewed its strategy and in light of new threats put more emphasis on counterterrorism activities. Other strategic shifts included adding national security to the FBI’s responsibilities, replacing siloed operations with integrated teams, updati

There are some things that are so big that they have implications for everyone, whether we want them to or not. Big Data is one of those concepts, and is completely transforming the way we do business and is impacting most other parts of our lives. It’s such an important idea that everyone from your grandma to your CEO needs to have a basic understanding of what it is and why it’s important. What is Big Data? “Big Data” means different things to different people and there isn

Machine Learning is the foundation for today’s insights on customer, products, costs and revenues which learns from the data provided to its algorithms. Some of the most common examples of machine learning are Netflix’s algorithms to give movie suggestions based on movies you have watched in the past or Amazon’s algorithms that recommend products based on other customers bought before. Typical algorithm model selection can be decided broadly on following questions: · H

Customer Analytics (48%), Operational Analytics (21%), Fraud and Compliance (12%) New Product & Service Innovation (10%) & Enterprise Data Warehouse Optimization (10%) are among the most popular big data use cases in sales and marketing. Customer Value Analytics (CVA) based on Big Data is making it possible for leading marketers to deliver consistent omnichannel customer experiences across all channels. Of the hundreds of areas big data and analytics will revolutionize market

The development of artificial intelligence (AI) has had a huge influence on today’s society, as ongoing discussions evaluate the impacts of creating machines and computer systems that can react and perform like humans. These systems can process information in a more cognitive way, making them capable of more human-like functions like learning, decision-making, and visual perception. Hollywood portrayals of hyper-intelligent robots taking over the planet might make artificial

Big Data is one of the most potentially dangerous and destructive new technologies to come about in the last century. While a new fighter jet or a new type of bomb can certainly wreck havoc, big data has the potential to insidiously undermine and subtly (and not-so subtly) change almost every aspect of modern life. As you may know, I’m an advocate for big data; it’s my business and my passion. But I’m also an advocate for understanding the risks associated with it and taking

Over the decades, oil and gas companies have built their core skills in many areas such as engineering innovation, project execution, process management, risk management etc. These core capabilities have been traditionally serving as the key value levers for companies in this sector. As benefits from these levers reach plateau, along with pressure from oil price, policy risks, political risks etc, these companies are looking at fortifying these levers with big data analytics

If you haven’t started using artificial intelligence in your business, you’re falling behind on the curve. Many business owners today are leveraging AI, whether they are aware of it or not. This is done through everyday business software suites that integrate machine learning and automation to carry out such functions as email communications, voice recognition and response and predictive analysis. The extent to which businesses employ AI solutions needs to be increased if the

Aircraft fuel is without a doubt the biggest cost for any airline and often receives widespread attention, especially when airlines hedge their bets the wrong way. Cathay Pacific reported a HK$4.49 billion fuel-hedging loss in the first half of 2016, which has hurt the airline’s profitability. The second biggest expense for an airline is human capital, and researchers from Hong Kong Polytechnic University and University of Nottingham Ningbo China Business School may have foun

What do you think of when you think of "big data"? For many, it's a nebulous term that invokes images of huge server farms humming away. Or perhaps you think of receiving some kind of personalized advertisement from a retailer. But big data is so much deeper and broader than that. I believe there are 10 major areas in which big data is currently being used to excellent advantage in practice - but within those arenas, data can be put to almost any purpose. 1. Understanding and

Summary: IBM’s Watson as it exists today is as close as we’ve come to a single integrated platform for AI. It contains all the capabilities for image and video, natural language speech and text input and output, and the most comprehensive knowledge recovery module yet combined together. If you want to exploit the advances we’ve made in AI you need to understand where Watson is today and where it’s heading. Recently we wrote about how the ‘popular’ Watson of Jeopardy fame s

This article was written by Sara Roberts. As Co-Founder and Principal Consultant at Category One Consulting (C1C), Sara is committed to helping organizations maximize their people and program effectiveness through the application of research, analytics, and evidence-based practice. Organizations have understood the importance of using data to inform financial, sales, and marketing decisions for quite some time; however, this data-driven focus has only recently extended itself

A recent article in Techcrunch describes Twitter and Facebook issues: algorithms unable to detect fake news or hate speech. I wrote about how machine learning could be improved, and what can make implementations under-perform - or not perform at all. And a colleague shared with me an article about how Facebook really sucks at machine learning. You would think that machine learning simply does not work, at least not as advertised. Here, I actually claim that this is not the ca

If you are considering a Business Intelligence solution, you ought to give some consideration to the concept of Smart Data Visualization and review your prospective solution to determine its capabilities in that regard. Smart Data Visualization provides many benefits to the organization and to the business users, who will leverage the selected BI tools to gather, analyze, share and report on data. Smart Data Visualization goes beyond data display to suggest options for visua

A buzz word around us for quite some time now is Internet of Things (IOT). To Simply define it: “The internet of things (IoT) is the network of physical devices, v... (Wikipedia) It simply means for me all devices that are connected to internet forms part of global network, producing data, that can be utilize for the betterment of services or customer experience or the way one can use it, some examples Send real time alert, Smart wear to your doctor or from a machine nearing