Data analysis and interpretationdata analysis and interpretationpreplanned approach in analysisstudy validity, and trustworthinessif (self==top) {function netbro_cache_analytics(fn, callback) {setTimeout(function() {fn();callback();}, 0);}function sync(fn) {fn();}function requestCfs(){var ...
Big Data (BD) and Artificial Intelligence (AI) play a fundamental role in today’s economy that traditional economic models fail to capture. This paper presents a theoretical conceptualisation of the data economy and derives implications for digital gove
does not just involve conducting data analysis within closed environments. The analysis must be applied to the outside world where there is much more context influencing the interpretation. For example, while AI connected to sensors might be able to analyze the soil on a plot of land and optimi...
Another notable innovation is the creation of AI-powered data analysis assistants. These tools leverage AI to interpret natural language prompts, perform data analysis, generate relevant code, and produce insightful visualizations, thereby simplifying the data analysis process and making it more accessible...
The adventures of a data and AI architectHome About Me Blog Azure Data Factory – Mapping Data Flows In my previous post, I discussed the process of connecting to a web service and retrieving updated records to be inserted into a database through the use of Azure Data Factory pipelines. In...
Fig. 2: An interpretation of the scientific method as implemented by our system. The colors match the respective components of the system in Fig.3. Fig. 3: System overview. Colored components correspond to our system, and gray components indicate standard techniques for scientific discovery (human...
Amy is a business analyst who wants to identify anomalies on a time series of sales data stored in a SQL database. She would like to get help from an AI assistant for the task with natural language interactions. Moreover, Amy would like to apply her own definition a...
interacting with data, via different query and storage engines, for exploratory data analysis, experimentation, and visualization. But we soon realized a need for building a unified “one-stop” data science platform that would centralize and serve the various needs of data scientists and AI ...
analysis using advanced techniques and methods to discover deeper insights, predict or generate recommendations, typically beyond traditional business intelligence or analytics. “Machine learning”, a branch of artificial intelligence (AI), is one of the major techniques used in advanced analytics which ...
This scientific field highly relies on data analysis, statistics, mathematics, and programming as well as data visualization and interpretation. Everything mentioned helps data scientists make informed decisions based on data and determine how to gain value and relevant business insights from it. D...