Today’s customers expect unprecedented quality of service in an I-want-it-now economy. Amazon, Uber and other digital-native companies have created a customer demand for immediate, high quality, in-the-moment service from all providers in all industries. How can traditional enterprises meet this demand and stay competitive in this new, digital economy?
Join Semyon Sergunin from Automation Anywhere to learn:
Automation processes can dramatically improve organizational efficiency, reduce costs, and increase customer satisfaction levels. Yet the related and often interconnected technologies frequently present several complex challenges. Forward thinking companies are now looking towards Automation combined with AI to remain competitive in an increasingly digital-first world. This convergence of technologies, known as Intelligent Automation, also incorporates factions of OCR, Computer Vision, Machine Learning, Sentiment Analysis, and other advanced applications. Join this webinar webinar to discover how your enterprise can apply Intelligent Automation strategies and reap the benefits.
In the current business world, evidence suggests that fraud, irregularity and corruption are on the increase. These crimes are committed in order to gain unfair advantage in both corporate and family businesses without any sectoral distinction. In an effort by the Association of Certified Fraud Examiners (ACFE) in 2016, it was reported that businesses lost 5% of their annual income through fraud. According to the same report, it is reported that the total loss at 2,410 cases was $ 6.3 billion and 23% of the cases had lost $ 1 million.
Fortunately, there are data mining techniques which you can use to detect fraud. The session will provide a brief on how to apply these techniques to the data.
The fourth industrial revolution is upon us. Spearheaded by the adoption of automation and AI, the world is changing at an exponential pace. It was only a few years ago that businesses who began their automation journey with RPA, were considered as early adopters or frontier firms. But even such firms can lag now if they do not sustain the momentum and movement from RPA (technology acting like humans) to a mix of RPA ML, AI, OCR, NLP etc. (act and think like humans). More importantly, the impact of digital innovation is not limited to IT departments alone but is a widespread organizational and business mandate. It is an enterprise growth and productivity question. It is a strategic question that challenges organizational culture.
Join Hexaware in our webinar on starting, scaling and succeeding with your Intelligent Automation interventions. In this webinar learn:
The entire world is heading toward a revolutionary transformation from “digitization” to “cognification”, and financial institutions are no exceptions. In fact banks and financial institutions are the ones who have recognized the potential of digital technologies and artificial intelligence at a very early stage and adopted in their transformation journey. One of the main reasons behind implementing AI is essentially banks have an advantage over other businesses in terms of knowing their customers more intimately than anyone else and can utilize such information to make highly relevant and personalized recommendations about the financial products and services.
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