This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
And yet, we are only barely scratching the surface of what we can do with newer spaces like Internet of Things (IoT), 5G and Machine Learning (ML)/Artificial Intelligence (AI) which are enabled by cloud. There also needs to be a cloud-first strategy that should have buy-in from upper management. This is where Cloudera comes in.
According to Gartner , 80 percent of manufacturing CEOs are increasing investments in digital technologies—led by artificial intelligence (AI), Internet of Things (IoT), data, and analytics. Trusted AI begins with trusted data What resolves the data challenge and fuels data-driven AI in manufacturing?
We’re living in a time where data is a crucial part of everything. quintillion bytes of data, and that number is only growing more extensive with the arrival of the Internet of Things. More importantly, this data doesn’t just stand still. Every day, we generate around 2.5 It moves, accumulates, and evolves.
Success criteria alignment by all stakeholders (producers, consumers, operators, auditors) is key for successful transition to a new Amazon Redshift modern dataarchitecture. The success criteria are the key performance indicators (KPIs) for each component of the data workflow.
Before the end of the decade, the number of connected objects is projected to expand greatly. According to several different analysts, the number of connected objects by 2020 could be as low as 26 billion or as high as 50 billion. But even the low end of that range is quite large. Indeed, connectedness is […].
IoT has a lot more to offer than merely establishing connections between systems and devices. We are in the digital age that Hollywood once fancied with sophisticated connected devices and technologies surfacing day after day. IoT is paving ways for new services and products, which were just a figment of our imagination up until a […].
We organize all of the trending information in your field so you don't have to. Join 42,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content