Tag: Big Data
Last week, CTO Boost attended the Big Data and AI Toronto Conference by Corp at the Metro Toronto Convention Centre. The 2-day conference drew in 5,000 attendees and featured more than 150 speakers and 90 exhibiting brands — including CTO Boost. While the conference showcased a range of different use cases, industry advancements, and keynote speakers, the overarching theme of the conference focused on solving data-driven business challenges and navigating the latest Big Data tools.
While “technology is changing our lifestyle” is a common phrase, it is more accurate to say that technology is our lifestyle. All of our personal records are online, we use technology for work and education, and we communicate everyday via social platforms. Digital literacy is beneficial for everyone: it helps us to understand the technology that we use every day and how to use it appropriately, it helps us to understand our privacy and security, and it helps understand the technology of the future! So, here’s the 411 on all the tech talk buzzwords and trends you will continue to see in the news.
Although industry leaders recognize the value of data, they aren’t using it. This is because they don’t have the right tools or resources to do so. In fact, the majority of respondents stated that they are counting on AI to help them extract value from data. Yet, most do not have the technology or skill necessary to utilize AI. Moreover, 69 percent of respondents stated that they aren’t even trying to learn new skills, with almost half of respondents saying it’s because they’re “too old.” This is not only hindering their ability to unlock business value, but it’s also expensive. Storing data is less costly than it used to be; however, it is still expensive – especially when you aren’t leveraging it.
The days of data privacy as an afterthought are well behind us, but the motivation to monetize consumer data remains strong. The downside is, many companies are stockpiling information without much regard to basic security features; the upside is, a reliable framework can save the day.
Transactions in IP and finance often require an excessive amount of verified personal information. But what if there was a way to provide verified proof by revealing only the specific amount of information necessary to approve the transaction?