Innovation

  Forecasting is the sub-set of predictive analytics. Forecasting has the element of time in the data. Historical time series data is required to build a forecasting model. Combining these two elements, predictive analytics is the basis of self-driving car innovation. The application of prediction to clone human behavior in self-driving cars the common “approach to mimic the actions of human drivers” (Gu, Li, Di, & Shi, 2020, para.1).     Unlike humans who are relying on previous and current experience, self-driving cars rely on previous and current data to learned from and construct patterns. Gained information are input instructions to safely “drive” cars in the simple and complex car driving environments. Self-driving cars, therefore, are trained using “training data” to predict future events on the road. Self-driving cars use machine learning algorithms that are able to take data from different sources (including reading maps) to predict upcoming road trajectories. Built us

  Scenario planning refers to understanding and visualizing future situations or events and the probability of an event's occurrence based on past occurrences. Scenario planning takes into consideration the current events to understand its implication in the future. Scenario planning focuses on developing "multiple views of the future. It explores the interaction of external conditions that may create vastly different futures. It separates predictable trends from unknowable uncertainties and then plays out their possible interactions using a limited number of scenarios" (Steil & Gibbons-Carr, 2005). S cenario planning applies a method to project future events developments relying on the past and current research (Forman, Nicol, & Nicol, 2015). Forecasting involves the use of present and historical data and applies a forecasting method. Forecasting is relying on probabilities of occurrences of an event. Forecasting is an estimation of a variable of interest. For

  Microwave As an Engineer, Mr. Percy Spencer, employed by Raytheon Corporation, invented microwave ovens by mistake. According to Mr. Ockenden (2014), Spencer Percy was a self-taught engineer without formal education. Mr. Spencer was researching and building a radar vacuum tube. The vacuum tubes produced microwave radiation, which is used in radar systems. In 1941, Mr. Spencer invented an advanced way to produce vacuum tubes. When testing his radar invention, he realized that the candy bar he was carrying in his pocket begun to melt. To prove if the microwave emitted from the new machine influences other products, Mr. Spencer decided to test it on popcorn. The popcorns popped when subjected to the microwave. Mr. Spencer's next action was to build a metal box that he could inject microwave in it. Mr. Spencer realized that exposing food to low microwave energy would lead food to cook. This innovation has led to the invention of a microwave that is presently used throughout the w

Bedford and Hadar (2014) explained the think tank as an "organization that provides research, advice, consulting, and advocacy on issues of import to society" (para.1).  Think tank organization focused on connecting diverse ideas to translate the ideas into innovative actions. Think tank ideas arise because complex organizations are not well coordinated by design to apply critical thinking that supports innovative ideas.  Think tank is an institution that encompasses experts advocating on the economy, technology, social and cultural issues. Bedford and Hadar (2014) asserted that think tanks focus on policymaking, quality of products and services, the nature of funding, and their behavior as communities of experts.   Think tanks provide expert views supporting innovative actions and advocating policy changes. Think thank are also serve as platforms for learning and solving problems. Think tank is founded on shared goals and focus by a group of participants. Participants in a t

 Decision-Making Methods According to Meyrick (2003), the Delphi method is "systematically gathering input from relevant experts on a topic has been widely applied" (para. 3). Delphi method involves a series of rounds of questionnaires, questions, or questions that are paused to experts in a specific area of interest. Responses are gathered from anonymous experts to be analyzed and surmised by a group of researchers. Researchers then return to anonymous responders with additional questions to gather more information. This process aims to gather a mix of diverse options/judgments from the anonymous responders and group the ideas into distinct majority and minority groups.   Different types of Delphi methods are used, including less than or more four rounds of a question – fact-gathering from anonymous respondents, changing the question formats, and mixing the structure of the research group's expert groups. The Delphi technique is appropriate to use when the "problem

  Horizon Project in Digital Literacy                                              Digital Image Learning Environment An AMC Horizon project published an article on digital literacy in higher education.   The technology behind digital literacy in higher education is Adobe to provide close to the traditional content delivery method in higher education. Abode can support content creators of learning materials to include video, web, and graphic tools that enrich what is being delivered to students. Also, Adobe technology supports instructors in modifying and quickly recreating learning materials to best suit their students' learning needs. These capabilities provide educators to provide in-depth instruction to students to understand content related to a subject matter. An additional advantage of digital learning that uses Adobe technology is the ability instructors can create an expression that includes emotional intelligence that helps students link learning ideas to their past exp

  About Myself My name is Sisay Teketele. I live in Plano, Texas. I work for Samsung SEA as Sr. Analyst and I have years of background in the telecommunication industry working on the analytics side of the business. Also, I serve CTU as an adjunct faculty member (over 11 years) and I served the University of Phoenix as a faculty member (over 12 years).  I served Concordia University as a dissertation committee member (over 4 years).  I earned my Doctorate Degree in Leadership and Management (in 2010) and a Master's in Management Degree from the University of Phoenix (in 2006), and another master's degree from Capella University (in 2018). I have a couple of Certificates that I earned from completing Data Science courses.  I am eager to learn about the contributions of innovation in big data analytics. I look forward to acquiring knowledge to help me part of the innovation processes that impact businesses' performance. I have had several courses that I was/am teaching