By the turn of 2025, the world is expected to need 2.5 million data science professionals to work with organizations and governments in a structured manner. They will help organizations achieve the capacity to do things correctly at the first attempt itself, and will also facilitate quicker and more accurate decision-making driven by data. To make a move toward attaining this … [Read more...] about How WDSI offers Data Science Research Grants
Technical
Learn all about technical data and programming and why it's crucial for businesses. Get knowledge on how to collect and use this information to improve your products and services.
Are AI-enabled chips changing the world?
When the world is all active and adapting itself with the new tech innovations, there is still space for the latest developments. A much closer look at the current Artificial Intelligence applications will assure the new set in technology, AI chips. From cars, smartphones, to healthcare, and every other field growing with AI, AI chips have built their position in the world so … [Read more...] about Are AI-enabled chips changing the world?
Don’t Send Money to Dead People (and Other Lessons for Data Teams)
In June 2020, it was reported that bad data hampered the U.S. government's ability to roll out its COVID-19 economic recovery programs. In addition to other grievous errors, this data downtime incident sent over $1.4 billion in COVID-19 stimulus checks to dead people. In part one of a two-part series, I propose a solution to data downtime: data reliability, a concept borrowed … [Read more...] about Don’t Send Money to Dead People (and Other Lessons for Data Teams)
Enterprises Can Digitally Transform with the Internet of Things
The Internet of Things is a key player in the digital transformation era. The number of connected devices is increasing every day. It shows the large scale implementation of IoT and the impact that it is making. As more and more devices join the transformation, IoT grows into a change agent for digital transformation and magnifies on its benefits. It enables organizations to … [Read more...] about Enterprises Can Digitally Transform with the Internet of Things
How Data Analytics and Machine Learning are Transforming Private Equity
All global known companies including Apple, Cisco, Google, Adobe, and more have been part of private equity deals at one point in time. If it weren't for investors, US private equity firms, and their limited partners, these companies wouldn't be here today as we know them. Let's face it “ the relationship among investors, founders, and private equity firms have been progressive … [Read more...] about How Data Analytics and Machine Learning are Transforming Private Equity
+
What is technical data?
Technical data can be something as simple as a list of ingredients for a recipe or a more complex set of instructions for assembling a piece of furniture. Technical data can also be mathematical formulas or set points for calibration. No matter what form it takes, technical data is always designed to provide information that will help people to understand and use a particular product or service.
In some cases, technical data may be subject to special regulations, such as those governing the handling of confidential personal information. However, in general, technical data is considered to be publicly available information. Want to learn more about technical data? Datafloq has courses available. Contact us to get started.
+
What is the purpose of technical data?
Technical data is often used to create engineering drawings or specifications, which are then used to manufacture the product. Technical data can also be used to troubleshoot problems with a product or system.
For example, if a component is not working properly, technicians may refer to the technical data to determine the root cause of the problem. Technical data is an essential part of the product development process and can be very useful for businesses and consumers.
+
What are examples of technical data?
Technical data refers to the specifications of a product or system, including its performance, dimensions, weight, etc. It is often used in the context of engineering or manufacturing. For example, engineers will consider the vehicle’s weight, aerodynamics, and engine size when designing a new car.
Technical data can also be used to compare different products or systems. For example, if you are trying to decide between two different types of printers, you might look at their printing speed, paper capacity, and resolution.
+
What is technical data analysis?
Technical data analysis aims to help make better decisions by understanding the data better. Technical data analysis can be used for different purposes, such as predicting future events, identifying trends, or spotting outliers. Many different statistical methods can be used for technical data analysis, and the choice of method will depend on the type of data and the question you are trying to answer.
+
What is a high-tech startup?
A high-tech startup is a company that uses technology to create new products or services. These startups are usually founded by entrepreneurs with innovative ideas for a new business. Many high-tech startups are based around developing new software or hardware, but some may also focus on creating new medical devices or developing new clean energy technologies.
Whatever their focus, all high-tech startups share a common goal: to bring their innovative ideas to market and create value for their customers.
+
What is a high-tech business?
A high-tech business is an organization that develops or uses advanced technological processes and products in its operations. Many high-tech businesses are involved in research, development, engineering, and manufacturing. They often work with cutting-edge technologies, such as artificial intelligence, biotechnology, and nanotechnology.
These businesses typically require a highly skilled workforce and substantial investment in research and development. Due to the risky nature of developing new technologies, many high-tech businesses are venture-backed startups. However, some large companies, such as Google and Apple, are also considered high-tech businesses.
