Posts Tagged ‘machine learning’

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 […]

New year, new resolution. This should apply to both person and business. 2017 was disruptive yet progressive for tech and digital marketing in many ways. We witnessed surge of AI and machine learning, emerging technologies like voice, facial recognition, virtual reality, augmented reality were built into many hit products/applications, holiday season had record breaking online […]

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 […]