Data science is a method for transforming business data into assets that help organizations improve revenue, reduce costs, seize business opportunities, improve customer experience, and more. What is data science? Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. For most organizations, data science is employed to transform data into value that might come in the form improved revenue, reduced costs, business agility, improved customer experience, the development of new products, and the like. “The amount of data you can grab, if you want, is immense, but if you’re not doing anything
Even the most complex topics can be segregated in easy to consume buckets. Let me try to explain them Artificial Intelligence (AI) Human Intelligence Exhibited by Machines Intelligence exhibited by machines Broadly defined to include any simulation of human intelligence Expanding and branching areas of research, development, and investment Includes robotics, rule-based reasoning, natural language processing (NLP), knowledge representation techniques (knowledge graphs) … Machine Learning (ML) An Approach to Achieve Artificial Intelligence Subfield of AI that aims to teach computers the ability to do tasks with data, without explicit programming Uses numerical and statistical approaches, including artificial neural networks to encode learning in models Models built using
Which specific skills will CIOs hire in 2018 According to recent Skill Survey, CIOs will hire skills in BI & Analytics, security, cloud, infrastructure, networking, vertical-specific skills, enterprise architecture, business consulting, among others. Today’s business expect CIOs and their IT organizations to develop digital technology and business skills such as design thinking, data sciences, usercentric design and exposure to new technologies, such as IoT, Machine Learning, Big Data, and Blockchain, to drive transformation and sustain long-term benefits.
From machine learning to digital twins, opportunities abound in emerging (and converging) tech trends New and evolving technologies are rapidly reshaping how we work—offering creative opportunities for developers who are willing to pivot and adopt new skills. We took a look at 11 tech trends experts say are likely to disrupt current IT approaches and create demand for engineers with an eye on the future. It isn’t all about The Next Big Thing. Future opportunities for developers are emerging from a confluence of cutting-edge technologies, such as AI, VR. augmented reality, IoT, and cloud technology … and, of course, dealing with the security issues that