How Data Is Collected, Contained, and Used in the Internet of Things (IoT) industry
The data industry is poised to grow and prosper as the industry matures.
But what does it all mean?
How data is gathered, contained, and used in the internet of things (IoS) industry, and what does that mean for businesses?
To get an idea of what data is being collected and how it’s being used, Tech Insider interviewed seven data scientists, engineers, and analysts.
We spoke to data scientists and engineers from a variety of industries and industries groups to learn about how data is collected, stored, and analyzed.
The answers are below.
For a more in-depth look at what data scientists do, read on.1.
Data is a commodity—how much can we trust?2.
Companies need to use the right tools to analyze data for security purposes.
Data mining is a huge problem in IoT and beyond.
Data analytics is essential to IoT, but we have to think beyond that to build the right business models.
The industry needs to develop data privacy and security guidelines.6.
Data should be managed with a focus on the real user and not the analytics company.7.
The IoT is changing so quickly that data needs to evolve with it.8.
The data you collect in the future will be shared with others and used for the benefit of all users.9.
Companies have to create a data science team to do their own data mining.10.
Data can be used to build smarter products, including new products.11.
Big data is becoming the new information infrastructure, and the Internet will help drive this.12.
Data needs to be structured to keep it safe.13.
The internet of Things is changing rapidly and data needs smart security and security architecture.14.
Data has become a critical piece of data management.15.
Companies that collect data are going to need to rethink how they collect data.16.
The next generation of IoT will have an impact on the way we do business and how businesses think about their data.17.
Data security is a big issue for IoT.18.
We have a new generation of data scientists.19.
The best data analytics tools are coming to the IoT.20.
Companies should be careful about using data from other people.21.
The way data is stored and analyzed should be transparent.22.
Companies will need to get smart about how they handle and manage data.23.
The most important thing is that the data needs the right context to be used for business.24.
Companies must be careful with their data collection and management, but that’s what we do.25.
Companies are using IoT data to build better products.26.
Data storage and retrieval has become one of the hottest trends in IoT.27.
Data management tools are essential to creating secure data.28.
Companies don’t have the right data management tools.29.
Data in IoT is going to change dramatically in the coming years.30.
The future of data is digital and decentralized.31.
Data isn’t the only data you need in IoT, you also need to be smart about using it.32.
Companies can’t afford to not have data in the cloud.33.
Companies like to use analytics to help drive business growth.34.
Companies in IoT need to have a data analytics team.35.
The right data science strategy for IoT is critical.36.
The Internet of Everything (IOHO) is evolving quickly and data is important to it.37.
Companies using IoT are going a long way toward building better products and better businesses.38.
Data will always be valuable and needs to continue to be protected.39.
Companies and IoT should be looking at different models to build their businesses.40.
Data must be transparent to everyone.41.
There is a lot of data out there.
How can it be collected and stored securely?42.
Data analysis is key to IoT and data management is critical to IoT.43.
Companies want to be able to see how data impacts their business.44.
Data collection and use must be open and transparent.45.
Companies rely on data to be efficient.46.
Data from all sides is valuable.47.
Data collected and processed in IoT will be very valuable to businesses.48.
The new generation will bring with it a whole new set of questions.49.
Data shouldn’t be used as a source of marketing.50.
The companies in IoT are trying to get to the heart of the business.51.
Companies already have a lot to lose from a data breach.52.
Companies looking for a way to get a better understanding of their customers are going through a data crisis.53.
Companies trying to understand what data can do in the IoT need a new model of data collection.54.
Companies aren’t using the right software to collect data in IoT because they don’t know what it is.55.
Companies shouldn’t worry about data breaches because the IoT is so dynamic.