Posts Tagged ‘Analytics’
Data Scientists and Machine Learning Roles
Artificial intelligence (AI) and machine learning are the golden children in technology for the coming years. What role are data scientists playing in this? This interesting topic came to our attention from DATAVERSITY in their article, “Data Scientists and Machine Learning Algorithms for the Data-Driven World.” Are data scientists using their skills to develop better machine learning…
Read MoreGathering Business Intelligence in a New Era
Business analytics has changed not only the world we live in but the way business intelligence is gathered and used across industries. DATAVERSITY brought this information to our attention in their article, “Advanced Data Discovery and Augmented Analytics: Simple, Sophisticated Tools for Business Users.” Reporting, dashboards, advanced data visualization and end-user self-service are given the highest…
Read MoreBad Data to Good Data
In today’s digital world, business users need easier ways to explore data, uncover new insights and make informed decisions instantly from any device. However, achieving this can be difficult for many organizations even with the best of IT infrastructures. What if the data is just bad? DATAVERSITY brought this interesting information to our attention in…
Read MoreHuman Technology in 2018
Being the first of the year, there are many professionals sharing their views and opinions on what 2018 has in store for the world of technology. This particular one is looking at the relationship between tech and human touch and how it has changed the nature of marketing and what the next steps are likely…
Read MoreDigging Around in the Data of the Past
Data mining is the process of finding anomalies, patterns and correlations within large data sets to predict outcomes. Using a broad range of techniques, this information can be used in a variety of processes. Applying data mining techniques to history often uncovers interesting data and trends in the archives. IT Technology Review brought this very…
Read MoreThe Permeation of AI
Artificial intelligence (AI) has become gold for developers, and their tools and technologies make it relatively easy for them to tap into AI capabilities without requiring deep subject knowledge. Tech Crunch brought this news to us in their article, “Oracle adds AI development service to platform offerings.” Oracle climbed on board the AI train with…
Read MoreFinding Data
Big data sources are quickly becoming commonplace. What was once considered outdated is now considered a new and untapped opportunity. An important point to note from the big data revolution is that metadata can be just as lucrative as the primary data it supports. This interesting information came to us from Mobile Business Insights and their…
Read MoreStrength and Flexibility
Graph databases use graph structures for semantic queries with nodes, edges and properties to represent and store data. Each node represents an entity and relationships between nodes are defined by how the nodes are associated. This general-purpose structure allows modeling all kinds of scenarios – from a system of roads to a network of devices. If you need to leverage the relationships…
Read MoreManagement and Anlytics
Data management and analytics software are often considered on opposite ends. When it comes to organizations upgrading their management and analytics solutions, they can be stymied as to which one comes first. Predictive Analytics Times brought this news to our attention in their article, “A Chicken/Egg Problem: Management or Analytics Software?” Data management and data analytics…
Read MoreManaging Unstructured Data
Organizations rely on digitized unstructured data for insights in terms of business decisions. In this world of information overload, around 80% of data collected is unstructured, assembled from emails, social media feeds and user devices. CIO Review brought this information to our attention in their article, “Analyzing Unstructured Data.” Analyzing unstructured data can be challenging. If…
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