際際滷

際際滷Share a Scribd company logo

Bi data-ai-applications

Kamal Arora
Kamal Arora

The document discusses challenges with big data and AI applications. It notes that Fortune 500 companies typically have hundreds of disconnected IT systems storing data in different formats, causing chaos. Managing high-frequency and diverse data from multiple sources like images, files and videos requires complex mechanisms to organize the data before analysis can begin. AI tools are useful for managing big data but companies need to provide tools to enable employees with different data science skills to work with large unified datasets and perform predictive analytics.

1 of 6
Download to read offline
FOSTERING BIG DATA CHALLENGES WITH AI APPLICATIONS PRESENTED BY TYRONE SYSTEMS
Storing data is a complicated process. The complication gets added while maintaining it. The average Fortune 500 enterprises have a few hundred enterprises IT systems. Most of them are at chaos because of different formats, mismatched references across data sources and duplication. Multiplicity in IT source system
Data flow on a real-time basis. There are issues like censoring of data which remains as an unspoken topic. For e.g: reading of the gas exhaust temperature for an offshore low-pressure compressor is only of limited value in of itself. But combined with ambient temperature, wind speed, compressor pump speed, history of previous maintenance actions and maintenance logs can create a valuable alarm system for offshore rig operators. Managing the high-frequency data
AI tools sprout from time to time. They are extremely useful when it comes to managing big data. An enterprise IT and analytics team need to provide tools that enable employees with different levels of data science proficiency to work with large data sets and perform predictive analytics using a unified image. Adopting emerging AI tools
There is no assurance that data comes in a single format. A company gathers data through images, files, videos, documents, etc. However, they are put under the same roof called big data. So it is difficult and involves a lot of mechanisms just to differentiate them and put them on diverse channels before doing analysis. Organising diverse data content
Our Social Pages FACEBOOK www.facebook.com/tyronesystems TWITTER www.twitter.com/tyronesystems BLOG www.blog.tyronesystems.com Our big data solutions provides businesses actionable insights at faster speed? Get in touch info@tyronesystems.com

More Related Content

Bi data-ai-applications

  • 1. FOSTERING BIG DATA CHALLENGES WITH AI APPLICATIONS PRESENTED BY TYRONE SYSTEMS
  • 2. Storing data is a complicated process. The complication gets added while maintaining it. The average Fortune 500 enterprises have a few hundred enterprises IT systems. Most of them are at chaos because of different formats, mismatched references across data sources and duplication. Multiplicity in IT source system
  • 3. Data flow on a real-time basis. There are issues like censoring of data which remains as an unspoken topic. For e.g: reading of the gas exhaust temperature for an offshore low-pressure compressor is only of limited value in of itself. But combined with ambient temperature, wind speed, compressor pump speed, history of previous maintenance actions and maintenance logs can create a valuable alarm system for offshore rig operators. Managing the high-frequency data
  • 4. AI tools sprout from time to time. They are extremely useful when it comes to managing big data. An enterprise IT and analytics team need to provide tools that enable employees with different levels of data science proficiency to work with large data sets and perform predictive analytics using a unified image. Adopting emerging AI tools
  • 5. There is no assurance that data comes in a single format. A company gathers data through images, files, videos, documents, etc. However, they are put under the same roof called big data. So it is difficult and involves a lot of mechanisms just to differentiate them and put them on diverse channels before doing analysis. Organising diverse data content
  • 6. Our Social Pages FACEBOOK www.facebook.com/tyronesystems TWITTER www.twitter.com/tyronesystems BLOG www.blog.tyronesystems.com Our big data solutions provides businesses actionable insights at faster speed? Get in touch info@tyronesystems.com