alliance partner
Why image enhancement is so crucial in scope of Intelligent Document Processing?
If you are just about to start your IDP (Intelligent Document Processing) Project or you are seeking for the solution designed to capture data from the scanned documents (images) – it is a right time for you to look closer at image enhancement automated capability. It is better not to ignore this powerful automated feature in your IDP project if your ultimate goal is to achieve the best possible accuracy rate of the captured data. Image enhancement or sometimes we may call it document enhancement (document normalization) or image improvement is all about advanced automated techniques which help to make the original image better in terms of quality. In different integrated solutions - this feature "image enhancement" may perform different type of image improvement operations. As you may agree, the scanned documents may come to the processing in different quality and may not always be ideally scanned or photographed.
The future of work in financial institutions
Its effects are already being felt in financial services, with the advent of robo-advisers in wealth management, online-only banks and peer-to-peer funding. This technological disruption is also blurring lines across sectors and industries, a development that is especially relevant to financial services. The use of common technologies and platforms is bringing global industries closer together and changing the competitive landscape.The new players include fintech and insurtech companies as well as disruptors in other industries. In Asia, for example, Tesla has partnered with established insurers to offer a vehicle package featuring customised motor insurance that accounts for its vehicles' autopilot safety features as well as maintenance costs. As it moves toward fully autonomous vehicles, Tesla is in a unique position to compete with property and casualty insurers in cases where traditional insurers are not willing to lower the risk premium1.
- Asia (0.25)
- North America > United States > New York (0.05)
- Banking & Finance > Insurance (1.00)
- Banking & Finance > Financial Services (1.00)
The Ghosn effect? Nissan and Renault set to unveil first post-crisis results
TOKYO/PARIS - What kind of financial blow has the widening scandal surrounding Carlos Ghosn delivered to Nissan Motor Co. and Renault SA? Investors are about to get a glimpse when closely watched earnings releases come out this week. The alliance partners have spent the last two months coping with a major reputational hit from Ghosn's arrest, indictments by Tokyo prosecutors over alleged financial improprieties and an unflattering spotlight on both companies' corporate governance controls. Taken together, these negatives could leave the alliance partners falling behind competitors such as Volkswagen AG and Toyota Motor Corp. in the race to adapt to the changing terrain. The risks may be greater for Nissan since the lion's share of allegations against Ghosn reflect his tenure there, and its business challenges are tougher than Renault's.
- Automobiles & Trucks > Manufacturer (1.00)
- Transportation > Ground > Road (0.98)
Safely sharing data through an api with alliance partners.
The following use case shows how an exchange of clean blended data can simplify the implementation of commercial and strategic alliances between businesses with a common interest. The company is a Professional Sports Club. They operate their own sports stadium which is well equipped with facilities for hospitality and has an integral retail outlet, refreshment and catering. Recently they have extended the stadium to include new seating as well as new entertainment facilities.. Martin is the Marketing Director and is keen to increase revenue from all sources but is mainly interested in ensuring that the entertainment facilities are fully utilised on match as well as non match days. Martin has examined how strategic alliances may be formed to fully exploit the commercial opportunities the overall facilities provide.
- Transportation > Passenger (1.00)
- Consumer Products & Services > Travel (1.00)