Posts Tagged ‘machine learning’

Let’s be honest, when it comes to our health we all want prompt and personal care. As a patient, we want the cost to be low, and the feeling of empowerment to be prevalent throughout the experience. Our world is becoming increasingly connected through the development of technology. With these extensive levels of connectivity, the […]

If your call center is still relying on an interactive voice response (IVR) system, then you may not be delivering the customer service your consumers expect (Millennials in particular). Customers are becoming more digitally connected than ever. And with this hyper-connectivity comes their demand for unprecedented levels of 24x7x365 customer service. Customers want to engage […]

The average age of a company listed on the S&P 500 has fallen from almost 60 years old in the 1950s to less than 20 years old today. Innovative companies that are willing to embrace transformative technologies make the list today, while businesses that are hesitant to embrace change risk becoming obsolete. Thriving companies, innovators, […]

It’s just past mid-year 2018.  Back in December 2017 and January 2018, many pundits were making their annual predictions about artificial intelligence.  In fact, my colleague Michael Porter wrote about AI predictions earlier this year.   Rarely do I notice anybody checking in on those predictions to see whether they are reality or not.  So I […]

Artificial Intelligence is already being used to conextualize data and significantly reduce efforts to transform data sets for better insights. Adaptive intelligence is being infused into cloud applications by vendors like Oracle to drive data-driven intelligence based on Machine Learning algorithms at vastly increased Speeds. To quote Angela Zutavern, coauthor of The Mathematical Corporation “We […]

Over the past couple years several Machine Learning (ML) capabilities have made their way into Oracle Analytics Cloud (OAC). If you are using OBIEE or OAC and wanting to apply ML to your data, there is no need to look for an additional software to do that. There are several ways in which ML capabilities […]

Cloud adoption will need to be part of a key strategy for CEOs that are looking to grow revenue Q/Q, Y/Y, while cutting costs and taking the market share from their competitors. Kicking off the Modern Finance Experience 2018, Mark Hurd, CEO of Oracle hammered home as to why Cloud is not just a modern […]

In my previous article (see Executive Introduction to Machine Learning), I provided a concise, jargon-free introduction to what is machine learning.   I basically described it as four steps: 1) Take data in; 2) Run it through an algorithm to make a prediction; 3)  help the machine learn to make better predictions; 4) predict something based […]

In a recent post, Michael Porter asked “What Does AI Have To Do With Strategy?” In discussing the transformational nature of AI, he suggested the very first question you should ask is, “What is AI and Machine Learning?”   Lately, I’ve been doing a lot of research into machine learning to understand the concepts and deep […]

What will the future hold for data science and machine learning platforms? Most of you already saw Gartner’s perspective in their latest Magic Quadrant on the evolution of data science that was released at the beginning of 2018 and are familiar with the outcome. However, did you ever ask yourself why SAS, KNIME, RapidMiner, and H2O.ai became […]

As you would expect at a consulting firm, we get a lot of questions on artificial intelligence and machine learning. Of course, Perficient provides a wide range of services around these types of capabilities. All too often, companies seem to appoint someone to a position with AI in the title and call it good. That […]

What do I want to watch tonight? What is the next book I might want to read? Those types of questions are usually answered through the suggestions that are embedded into your screen when you’re about to make your selections either on your phone, computer, tablet, or television. Initially, or as I recall, these recommendations were […]

Why do I give my precedence to build the model as Proof of Concept (POC) instead of following established methodologies such as CRISP-DM, SEMMA, AIE, MAD Skills, etc.? Even though most of the Data scientists will say that they are two different things and used for different purposes; one is a methodology or a step […]

Artificial intelligence (AI), cognitive computing, and machine learning are becoming more common in the industry. The need to scour and analyze large sets of data is giving life sciences companies new intelligence that would never have been realized before. The technology is making a big impact on healthcare decisions and patients. When it comes to […]

At the end of the day, a streamlined business can witness tremendous cost and time savings, not to mention deliver better experiences for customers and employees. Most, if not all, leaders in the communications space have ongoing initiatives for optimizing their business, whether it’s the implementation of sophisticated software and technology, or process reengineering to […]

As everything in this world matures and goes through the steps of evolution, Data Science is not much different. Even though it became more affordable for the companies to jump on the Data Science bandwagon and generate quick wins, Volume, Velocity, and Variety are still the bottleneck for most of the Artificial Intelligence (AI) projects. […]

Most of the time as a data scientist I get asked the question, what is the difference between Machine Learning and Statistical Learning? Even though you would think that the answer is obvious, there are a lot of novice data scientists that are still confused about those two approaches. As a beginner data scientist, it […]

Data is king for many reasons, and the amount of data we produce every day grows exponentially. According to some estimates, 90% of the data in existence today was created within the last two years. IBM estimates that we create 2.5 quintillion bytes of data every day, or enough to fill 10 million Blu-Ray discs. […]

On October 12, 2017, Gluon became available to the public. Microsoft’s partnership with Amazon finally has a chance to outshine Google with its great TensorFlow. Gluon is a deep learning multiplatform tool which currently utilizes Apache MXNet and soon will work on Microsoft Cognitive Toolkit (CNTK) as well as other platforms to come shortly after. […]

Artificial intelligence has arrived, according to a recent survey by ServiceNow. According to their data, nearly 90 percent of the 500 CIOs they surveyed across 11 countries and 25 industries are at least dabbling with machine learning, with 53 percent calling it an area of strategic focus for their companies. Most poignant within the survey […]