Capgemini’s Cognitive Document Processing (CDP) platform reduces the cost, effort, and risk by leveraging cognitive capabilities including artificial intelligence (AI) and machine learning (ML) in order to automate tasks such as document categorization and data extraction.
Capgemini’s new platform uses the latest artificial intelligence techniques and machine learning to reduce the time and effort required for document processing, with financial, strategic, and operational benefits for users. Costs could be reduced by 30% and the risk of regulatory non-compliance is also lessened.
Capgemini’s Cognitive Document Processing is a new platform which harnesses cognitive capabilities such as artificial intelligence and machine learning to ease the burden of processing documents and extracting data from them. It can reduce costs, improve customer experience, and help to ensure regulatory compliance.
Capgemini’s scalable yet dynamic predictive maintenance solution reduces human intervention and cost of sudden breakdown of the robotic arms by predicting genuine failure at least 1 to 2 days prior.
As we enter industry 4.0, digital twin is at the core of introducing interoperability where machines and people can communicate with each other and foster transparency by creating a virtual copy of the physical world through sensor data.
Capgemini premiers DEXTR, our latest Smart Digital Store innovation, at NRF 2019. Using HP and Intel devices, DEXTR combines artificial intelligence, personalization and robotics to create an immersive retail experience
AI-powered virtual assistant technology is still evolving. One possible future application, according to another leader, comes from researching how smart devices can assist people with physical or cognitive impairments
Today, online retailers are better able to offer personalized products and offers using data analytics and artificial intelligence. Algorithms are a very suitable way to create a rich, hyper-personalized shopping experience
To ease challenges, established insurers can employ a structured methodology to InsurTech collaboration. The World Insurance Report 2018 suggests a strategic 3-A approach: Adapt, Assess, and Align.
The premise behind AI is to mimic a human brain inside a machine. But what is AI and what are its capabilities? Read this blog to learn more.
Since artificial intelligence (AI) is driven by data, experts in this field will have to shed light regarding the impact of the GDPR on one of the hottest topics of the current digital era – especially in a geographic area in which ethics and societal issues are taken very seriously.
Many organizations are looking at the AI-driven customer experience as yet another IT initiative, with a strong focus on ROI and cost of implementation
The definition of the new taxonomy and linkage between historical incident and risks by leveraging AI
World Quality Report presents a perfect opportunity to bring together our community of subject matter experts, solution teams, delivery organizations, clients, and partners.
Conversational problem solving happens with a context learned across multiple channels. This helps businesses provide personalized responses to customers, thus adding more value to the conversation.
RPA and its expansion into AI is helping to drive a new era of business and IT alignment.
As a consumer, what would you rather do: talk to a voice assistant, navigate your way through an app, or visit a physical store?
AI involves robots and humans working together to achieve better speed, improved accuracy and quality.
RPA and AI can streamline life insurance policy processes and systems
Artificial intelligence help marketers drive efficiency and helps them make fact-based decisions to create a compelling and seamless CX.
There is no doubt that data is crucial when we think about successful CRM strategies, processes, or systems. But CRM, and the way it is handled, has also always been influenced by technological developments.
As more and more wealth managers begin to appreciate that insights extracted from big data can be a significant competitive differentiator, applications powered by AI, cognitive computing, and machine learning are making industry inroads.
Consumers are willing to be served by AI technologies, but still want to know that a human is at arm’s reach if need be. We call this Augmented AI, and it shows that despite all the technologies, we still need a human touch.
Consumers are increasingly aware and satisfied by AI-enabled experiences, but expect the human presence.
Conversational customer experience is the next big battlefield for the hearts and minds of consumers as it promises to fundamentally alter their relationship with brands.
When wrong data is fed into the algorithms, they also make the wrong decisions. Learn why do bots contain biases.
The possibility of creating thinking machines raises many ethical issues. If machines running on AI are not conscious, will they behave ethically?
What is the Modern Digital Estate for AI and how can it work for your enterprise?
The days of multiple Enterprise Data Warehouses, each promising to be the sum of all enterprise knowledge, are over. The modern data architecture forms a center of gravity of data with purpose driven distillations.
Andrew Anderson, CEO, Celaton, draws a parallel between the way you would diagnose and cure a medical ailment and the complexities of automation and AI.
Artificial Intelligence – read this latest review whether you are a proactive adopter or watchful bystander!
Companies across all sectors have jumped on the bandwagon in using this technology but what impact does this have on consumers?
Some people think of the Terminator or other dystopian scenarios when talking about AI. Others think that AI is overrated. But what is it?
A pragmatic guide to help organizations in their AI investment decisions
The maturation of deep learning and neural networks are a couple of the more important breakthroughs in the field of artificial intelligence.
Who owns the data and how can the benefits be shared across the different actors of the data value chain.
The future of banking is adaptation of Robotic Process Automation and Artificial Intelligence for better customer experience.
Chat applications are becoming a mainstream trend and our preferred way of interacting with colleagues, friends and family. From the early days of SMS to the favorite snaps of our children, real-time online conversations are everywhere and here to stay.
AI is increasingly being used to augment human capabilities and automate repeatable processes. The technology has the potential to do many tasks that humans do and, potentially, do them just as well (or better), faster, and cheaper.
Artificial intelligence for better decision-making, reduced audit cycles and measured actions for detected compliance problems.
Over the past several years, AI has made significant progress in a wide variety of areas such as image and speech recognition, drug discovery, and algorithmic trading. How are the improvements in AI making this happen?
Artificial Intelligence is making traditional claims processing a thing of the past. Companies are pioneering new cognitive solutions that are making the claims process faster, smarter and more efficient than ever before.
It is sometimes said that a butterfly flapping its wings in a Brazilian rainforest can trigger an earthquake. However, in reality nature is a great example of a loosely coupled system, enabling different species to emerge in different parts of the world completely independent of other “worlds.”
We are on the cusp of truly remarkable changes in the way we think of healthcare and how we deliver healthcare. Artificial Intelligence will be a key enabler for both the transformation and the disruption of the healthcare ecosystem.