03-28-2020 09:16 PM
03-28-2020 09:16 PM
Data Scientists are the most valuable people on making effective use of the data by analyzing the old big data and produce a powerful summary. Business organizations that plan to invest on IoT should consider the old data before they invest on it. Also the job of Data Analysis and Analytics are highly in-demand.
Big Data & Analysis
Big data is a number of huge data sets structured and unstructured data that has sensitive or simply but cannot be processed with community or relational database engines, it’s demands different procedure to process and stores in different storage.
Data analysis is the process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting and supporting decision making. Most common tools used to analyzing are R-Programming, Spark, Cloudera, Orange, RapidMiner, Weka, NoSQL, Qlik, Infogram.
Computer Algorithms are producing mathematics calculations or formulas to searching, sorting, recursion, and coding challenges. An encryption algorithm transforms data according to specified actions to protect it.When a person becomes specialized in algorithms or can handle powerful algorithms means he/she is master in IT world.
When a analysis analyze the big data and summarize the final reports, Developer will create the Algorithms to make the IoT device, where we can discover the previous errors, usage, incomes and some meaning full information from the big data analyse and suggest a new improved design for upcoming projects.
Artificial intelligence describes machine which able to do what we expect from human intelligence. Since this definition is subjective, artificial intelligence may change as our expectations of computers evolve.
Most successful projects by AI are Siri, Tesla, Boxever, Amazon Go Store. AI system becomes better than humans at all cognitive tasks. Google’s Waymo self driving project is the upcoming AI major project.
This can happen whenever we fail to secure our data. If sometimes hackers able to change the data or misuse the packets of commands from the users. As these examples illustrate, the concern about advanced AI isn’t malevolence but competence. Since the researcher has to find a way to verify the data and secure the way of accessing data by third parties.
Whats is Smart World ?
Smart World is a solution to all necessary things happens day to day in the world by machine learning, understanding solving threads without human attempts but use many data collection sensors to complete the task.
Data scientists who are working with IoT and AI will need to know how to analyze massive data sets, what to look for in the data, and how to make productive business decisions based on findings. In future we may see so many greater need for data scientists to work on IoT projects.