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
Consequently, like every other sector, O&G is exploring the vast potential of ArtificialIntelligence (AI) applications to increase productivity, boost security, enhance equipment availability, maintenance, and uptime, and enable sustainable operations. AI Applications in the Oil and Gas Industry. Driving workplace safety.
dollars by 2027, more than double its expected market size in 2018. Implemented properly, analytics projects help in effectively capturing and analyzing data to glean insights to analyze how things functioned in the past, while at the same time predicting what business decisions to make in the future. Data Analytics in Business.
Recent advancements in Generative AI and machinelearning (ML) have enthralled enterprises and consumers alike, as we recently saw with the launch of GPT-4. You can get answers to your queries and suggestions on optimizing and altering the project as you go along. between 2020 and 2027. billion at a CAGR of 24.3%
As per research by Statista , the value of the software segment of advanced analytics and other big data services will increase to $46 billion by 2027. This could be the reason why most data analytics projects tend to fail. Gartner estimates that 60 percent of big data projects fail. Data’ is not the same as ‘insights’.
The latest research by MarketsandMarkets has reported that the bot services market size is projected to grow from USD 1.6 billion by 2027, at a CAGR of 33.2% Moreover, bots can understand the nitty-gritty of language, including grammar, slang, regional connotations, etc., billion in 2022 to USD 6.7
We organize all of the trending information in your field so you don't have to. Join 29,000+ 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