Artificial Inteligence Big Data Government Project 
Norbert Bol
JANUARY 18, 2020
Artificial Intelligence (AI) is growing rapidly as it succeeds to improve productivity and customer experience in every domain of our society such as education, industry, agriculture, healthcare, finance, transportation, entertainment, security, energy, communication, etc.
Norbert Bol
JANUARY 18, 2020
Artificial Intelligence (AI) is growing rapidly as it succeeds to improve productivity and customer experience in every domain of our society such as education, industry, agriculture, healthcare, finance, transportation, entertainment, security, energy, communication, etc.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Acuvate
OCTOBER 10, 2022
Demand evolution, regulatory concerns, supply diversification, rapidly growing infrastructure and resulting frequent asset downtimes, siloed operations, and environmental, social, and governance (ESG) risks continue to plague the industry with difficult-to-conquer obstacles. This data repository is analyzed by AI algorithms in real time.
Acuvate
APRIL 12, 2023
As with previous years, smart factory solutions are projected to contribute. With the help of IoT, equipment, devices, and systems may exchange and monitor data in real time through improved connectivity. Data, of course, plays a critical role in smart factory success because, without it, most outcomes will not be possible.
Acuvate
APRIL 12, 2023
As with previous years, smart factory solutions are projected to contribute When considering the financial and environmental implications of manufacturing, smart factories are indispensable. With the help of IoT, equipment, devices, and systems may exchange and monitor data in real time through improved connectivity.
Acuvate
SEPTEMBER 30, 2019
Despite the growing presence of data analytics, organizations haven’t managed to leverage its power to the fullest and this perhaps can be attributed to the failure of most data analytics initiatives. Gartner estimates that more than 85 percent of big data projects fail.
mjvinnovation
FEBRUARY 4, 2021
On the other hand, we also have to incorporate some Data Science processes, which can be guided by the following practices: Governance Mapping: to understand the organization’s structure in the area of ??data data governance. Besides, we must use agile methodologies, which work very well for this type of project.
Expert insights. Personalized for you.
56 
Let's personalize your content