This topic identifies multiple trends within business, technology, or society that have an impact upon data science.
Companies need to collect huge volumes of data produced to extract valuable insights via data analysis to survive, let alone thrive in the competitive marketplace. It is the lifeblood of most business decisions, functions, and processes. But the process of data collection can be highly challenging for many organizations.
This week saw the news that two major automotive companies, Ford and VW, were walking away from a multi-billion dollar investment into Argo AI, a venture intended to build self-driving vehicles. Instead, the companies hope to roll at least some of that effort back into augmenting drivers’ abilities to drive safely and efficiently.
Several hundreds of thousands of raw data files are uploaded by users every day to social media sites. Online user data provides access to an enormous amount of information regarding products, services, places, and events, which makes it suitable for sentiment analysis. Valuable information can be extracted by analyzing the sentiment of the data.
This week saw the news that two major automotive companies, Ford and VW, were walking away from a multi-billion dollar investment into Argo AI, a venture intended to build self-driving vehicles. Instead, the companies hope to roll at least some of that effort back into augmenting drivers’ abilities to drive safely and efficiently.
The role of technology in accounting is rapidly changing the face of this field in many ways. From chatbots to actively handling the management accountants, from facing the enhanced regulations and demands from clients to well-management of time-consumed works, day-to-day tasks and processes of accounting the machines can do or streamline will help the professionals speed up their work.
Recessions, it has been said, are typically only visible in a rear-view mirror. In theory, we are in a recession when the economy shrinks over two quarters. In practice, however, not all recessions are the same.
Complexity arises from permutations, and to achieve long-term goals, it is often necessary to determine which permutations are both achievable and desirable.
On the other hand, studios produced a different kind of product – entertainment. Superficially, the studio model looks more agile than either the factory floor or the corporate floor, with a certain degree of experimentation and iteration, especially early on in the process. Yet there are critical differences as well.
The world is becoming increasingly complex – as highlighted in my first article here – but the concern isn’t only about being complex. Considering the ever-increasing speed of the state of complexity, we have entered the age of polycrisis.
As the adage goes, a workman is only as good as his tools. There is no disputing that, but you can never overlook the power… Read More »How to build your data quality team
