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...
When business information is poorly organised or cluttered, it can be virtually impossible to find and access the data required to make informed business decisions. Data can be spread across multiple sources – files, servers, databases, emails, and even redundant legacy systems – making quick retrieval challenging and unnecessarily time-consuming. If data has large volumes of supporting documentation attached or is highly technical in nature, the problem is even greater...
Enterprise search software harnesses cutting-edge technology to locate information from within an enterprise system, including document management systems, intranets, emails, and file storage networks. Enterprise search offers several key benefits.
Time savings are one of the most important benefits of enterprise search software. Poor time management and protracted administrative tasks are significant obstacles to business productivity, driving down employee efficiency and harming financial growth. Consequently, time savings are a key factor in the surging popularity of the global enterprise search market, which is expected to reach $8.9bn (US) in value globally by 2024.
So, how can enterprise search software save time in your energy business?
Data plays a key role in modern business, but its accumulation can result in vast silos of information that are difficult to trawl through for employees and customers alike. Cutting-edge information management technology, in the form of intelligent search software, eliminates confused and cluttered data silos, enabling end-users to quickly and easily find the information they need....
Flare Solutions’ information management applications can ensure new information is assimilated smoothly and efficiently into your organisation after a merger or acquisition, with the following key factors facilitating the process: