491 Results from /ai
Keith Stonell Managing Director, EMEA at Guidewire
Towards the end of last year, I attended a major insurtech conference. As ever, the week was packed with interesting debates and stories about how technology is impacting the insurance industry and how insurers are reacting to changing customer demands. One of the key takeaways concerned the manner in which customers might soon be communicating wit...
30 January 2019 /ai Fintech
Retired Member
Younger generations are increasingly comfortable with fully automated experiences –interacting with digital assistants, chatbots and robo-advisors in their daily lives. But while these technologies have their place in the customer experience, it’s essential that businesses still give their customers the opportunity to escalate complex issues or di...
30 January 2019 /ai Digital Banking Trends
Ian Stone CEO at Vuealta
Now, more than a decade on from the events of 2008, the finance industry is far from settled. It’s chaos at the speed of the digital era. In fact, the next five years are set to be just as dynamic as the previous ten – filled with challenges and disruption but equally, presenting opportunities for those that navigate the period well. The sector is...
28 January 2019 /ai Fintech
Conversational interfaces are gaining momentum both in banking and pretty much every other industry. However the landscape of technology to support can be confusing and complex. The framework pictured here is not a technical architecture, but a functional view of the key components of a “conversational banking framework”. There are many conversati...
22 January 2019 /ai
Freddie McMahon Director Strategy and Innovation at DF2020 Ltd
79% of executives now believe seamless and digital access to knowledge is very important to overall business performance. Executives understand that there is too much dependency upon knowledge in people’s heads. And, even when it is documented, there is inadequate transparency and traceability to the way it is used to make decisions, when applied ...
22 January 2019 /ai /regulation Digital Banking Trends
Shirish Netke President at Amberoon
Money laundered through the banking system is estimated to be over 2 trillion dollars a year. A recent study by BAFT (Bankers Association of Finance and Trade) estimates that 1% of the proceeds from financial crimes are intercepted. Meanwhile, nine out of ten suspicious activities flagged by AML software in banks are false alarms. Let’s put these ...
20 January 2019 /ai /regulation Banking Regulations
I always try to take a step back over the holidays and reflect on the prior 12 months. It is easy to forget how much can happen in a year. 2018 was no different, packed full of noteworthy headlines, and handful of notable firsts. France winning the World Cup, the Eagles winning their firstSuper Bowl, Apple becoming the World’s first trillion-dolla...
15 January 2019 /ai Capital Markets Technology
Bo Harald Chairman/Founding member, board member at Trust Infra for Real Time Economy Prgrm & MyData,
The Finnish Ministry of Finance has set as a target to make Finland the first Real-time Economy in Europe. We are well on the way and now the MyData.org initiative is bringing in new dimensions. The focus for the RTE-program was to cut the cost of SME administrative processes in half and increase productivity also by lowering risks and making finan...
14 January 2019 /ai Contributed Data
Monica Hovsepian Global Industry Strategist, Financial Services at Opentext
The New Year is upon us, and with it come new challenges and opportunities for the Financial Services industry. The industry is currently experiencing unprecedented disruption from factors like new market entrants (FinTechs, InsurTechs), evolving regulatory changes, increasing incidents of cyber-crime, mandates to reduce costs and deliver efficien...
11 January 2019 /ai /regulation
Artificial Intelligence (AI) is fast evolving technology among Banking and Fintech companies. There are various AI technologies available in the industry such as Natural Language Processing (NLP), Machine Learning (ML), Deep Learning, Chatbots (virtual Agents), Robotic Process Automation (RPA) and Predictive analysis. AI can help bank to add
07 January 2019 /ai /retail Digital Banking Trends
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