Although RPA tools make significant strides, automating routine tasks and allowing humans to focus on more sophisticated ones, yet, they can't adjust their procedures to self-execution without human help. On the other hand, there are natural language processing tools, with all their power to finally automate routine tasks.

As consumers and businesses continue to seek personalized banking experiences, the financial services industry is responding with technological tools that can help fulfill those interests. An uptick in the use of artificial intelligence (AI) and robotic process automation (RPA) has provided financial services firms with integrated solutions that allow them to offer more precise financial forecasts and personalized services for everyone in the process. What they are: RPA is a software category that allows financial services firms to automate functions that previously required significant human interaction but not a tremendous amount of thought. For instance, RPA software can automatically reconcile account balances, significantly reducing the time to perform this task. On the other hand, AI uses data to actually "think" similarly to how a human would, allowing it to anticipate patterns, make forecasts and respond intelligently to inputs.

Register for this live video webcast - Friday, March 27 at 10 AM PT Ask the expert - get your AI/RPA questions answered by an industry expert. One of the keys to digital transformation – that most fashionable term – is creating a management structure in which everything is accountable to data analytics. In a related trend, robotic process automation (RPA) helps automate a company's work flow and business processes. At its most optimum, RPA is driven by an AI-based analytics platform. These key emerging technologies are the focus on this webinar.

Over the past few decades, technology-based innovations have added a new meaning to business conversations, thus changing the way we live and work in the digital age. With increased focus on improving business agility and performance, to sail through the challenging age of digital transformation, it is in the interest of modern businesses to leverage these cutting-edge technologies to maximize operational efficiencies and sustain profitability. The journey so far and how new technologies will impact key verticals in the coming years. The age of transformation will witness the emergence of varied possibilities and use-cases with the intermingling of new age technologies like Artificial Intelligence, IoT, automation and analytics. While Artificial Intelligence has many use cases, practically in every field, we would see that the best end-to-end application of Artificial Intelligence will happen in conjunction with automation.

Artificial intelligence (AI) is becoming more mainstream in India as the country's focus on the digital domain is ushering in new waves of efficiency and productivity. Double-digit growth in a trillion-dollar economy with the power of a single emerging technology shows its remarkable impact on not just the ease of brand-customer interactions but also in charting a journey in a world running on automated systems. Customers want to know that they are being viewed as individuals and not just as customer data records. In 2019, vendors will focus more on increasingly humanising AI with emotional intelligence and empathy. This means better understanding of context and longitudinal conversations, picking up on clues on customer motivation and intent, tone of voice, how people feel in a particular moment, where they are in their lifecycle, how they act in certain situations, and even what is happening around them.