They say that two heads are better than one, and ‘teaming up’ with an AI can increase the productivity and problem-solving capabilities of your team in a variety of business functions.
Here are the four foundational principles for nurturing a healthy AI system to support your business goals...
NASA define a Lesson Learned as “knowledge or understanding gained by experience”. It doesn’t matter if the experience is positive or negative, whether it was captured as part of a project or gained during business-as-usual process―the intent of a Lesson Learned is to provide a guiding hand to future business activities.
But in order to do that, you have to be able to find it...
SPDM 2022
UK Online - 21st to 23rd June, 2022
STARTING TODAY!
‘The evolution of Data Governance in the new energy world’
This conference is fully online and available to society members for free.
Flare's Lee Hatfield will be presenting @ 11:30 UK time on Thursday 23rd June 2022.
Gaining Value and Insight from Unstructured Data.
You know you need to tag your documents so someone can find them in the future but would you like some help doing it?
Flare’s Autotag solution automatically does the clever stuff to tag documents with the correct descriptive taxonomic terms, such as document types, well names, field names or disciplines (and others). Tags are selected by interrogating file names, file paths and/or document content, ensuring that each document is stored with the appropriate metadata and enabling better search and retrieval results...
Almost all businesses are rich in data but, the larger the organisation, the more complex the information web can become. Data plays a crucial role in business development, as it allows leaders to make informed decisions based on tangible evidence, such as statistics and trends, rather than intuition or guesswork. But, when you are swamped by data, it can be difficult to see the wood for the trees and locate the right information you need, when you need it most.
The benefits of Machine Learning are extensive and promise to transform the way that businesses operate, with significant cost savings, enhanced productivity, and better efficiency likely once an AI project has been implemented. However, the effectiveness of ML depends heavily on the quality of the data, so why is data cleaning fundamental to successful AI data processing?
Communication is key in the world of business, and an established taxonomy can help bridge the gap of understanding within an industry. This is particularly true for the energy industry, including oil, gas and renewables, which is brimming with domain-specific terminology associated with complex business process...
Like all industries, the energy sector is subject to market forces. Changes in the underlying price of oil or gas, advances in technology opening up previously difficult-to-produce hydrocarbon deposits or just a simple drop in consumer demand as the world strives towards carbon neutrality can leave many years’ worth of work relegated to the corporate archives...
For a long time, knowledge workers have had to manually capture useful information contained in documents by transcribing it to corporate repositories.
If the reports are hardcopy, they may also have to use digitisation services to apply Optical Character Recognition (OCR) technology and produce searchable PDF-type digital files before the information is manually captured...
Sometimes it's difficult to understand what data and information your company has available, where it's located, its accessibility, quality and provenance. This often leads to end user frustration and more pressure on data and information management teams to find data...