Acuvate
MARCH 16, 2019
Data Analytics in Business. According to Stastia , the global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in 2018. While data analytics helps companies make informed decisions and gain a competitive edge, misconceptions surrounding it can hamper its impact.
Acuvate
DECEMBER 21, 2022
The asset and operations-intensive nature of the oil and gas (O&G) industry demands continuous and vigilant equipment monitoring, management, and maintenance. This is made possible with smart sensors and data transmitters that are connected to an Internet of Things (IoT) platform. Building a digital twin is an algorithmic process.
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Acuvate
OCTOBER 10, 2022
Artificial intelligence has opened up a whole new spectrum of possibilities in the oil and gas value chain, enabling proactive and predictive asset management, boosting data-driven decision-making, building a connected employee base, and ensuring the health and safety of the workforce. Smart asset management using Digital Twins.
Acuvate
AUGUST 8, 2022
The growing importance and relevance of leveraging data and business intelligence cannot be overstated in today’s highly digitized business landscape. billion by 2027. But successfully cultivating a data culture is not merely about implementing the technology. The business intelligence (BI) market size is projected to reach $39.35
Planview
SEPTEMBER 20, 2023
Here is a brief look into this year’s winners: Chevron Nicolas Cooper, Portfolio Strategy Senior Analyst Chevron’s Environmental Management Company (EMC) manages remediation and asset retirement obligations for over 650 sites across the United States.
Acuvate
AUGUST 28, 2019
The Growing Importance of Data. The global big data market is forecasted to grow to about 103 billion U.S. dollars by the year 2027 – Statista. Data continuously flows from a plethora of internal and external channels including computer systems, networks, social media, mobile phones etc.
Planview
MARCH 29, 2024
One reason for the difficulty is the lack of integrated, contextual data. According to the 2024 Gartner® Market Guide for SEI platforms , they “provide…data-driven visibility into the engineering team’s use of time and resources, operational effectiveness, and progress on deliverables.” It is even more challenging to find a solution.
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