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 […]
Posts Tagged ‘machine learning’
Executive Introduction to Machine Learning – How To Make Predictions
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 […]
Executive Introduction to Machine Learning
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 is the Future for Data Science Platforms?
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 […]
What Does AI Have to Do with Strategy?
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 […]
Personalization Using Neural Networks
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 […]
Modeling as Proof of Concept (POC)
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 […]
Interest In AI And Cognitive Is Rising In Pharma
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 […]
Driving Operational Efficiency in Telecom and Cable
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 […]
The Benefits of Using Cloud-Based Platforms for Data Science
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. […]