Emerging technologies like artificial intelligence (AI) and machine learning (ML) are becoming a significant factor in everything from advanced data analytics to autonomous vehicles. These technologies are also helping organizations manage and optimize the massive amounts of data they take in daily. Every enterprise is dealing with massive corporate data stores, and they are realizing there is tremendous value contained within that data. Advanced AI and ML applications have the potential to revolutionize the very nature of enterprise operations. AI and ML can help organizations make sense of massive amounts of structured and unstructured data, drive better business decisions and improve business outcomes.
In spite of the hype around omnichannel customer journeys, many businesses regard the phone as their primary channel for converting leads, making appointments and bringing in new customers. As communication paths between brands and customers change, call intelligence has morphed into "conversational intelligence." Marchex, a conversational intelligence solution provider focused on solving marketing and sales challenges for businesses, has developed an adaptive approach to applying both analytics and elements of AI to help identify deep consumer intent and recover "lost sales" in order to boost business outcomes. In this free webinar (Tuesday, December 10th), Opus Research and Marchex discuss how conversational intelligence can drive better business outcomes that can be measured and validated to convert leads, increase close rates and associated revenue increases. Don't miss this opportunity to boost sales outcomes with conversational intelligence.
There isn't one specific answer to this question, in fact, it contains multitudes of answers. In this session, Ray will explore all the variables impacting business from an IT perspective and uncover how changes to business outcomes can be driven from the office of the CIO. He'll take you through a discussion around how the office of the CIO can help improve business outcomes by planning digital transformation projects that are scalable, flexible and provide operational control over business driving tools that drive customer experience and revenue.
Delivering excellence across the enterprise requires the ability to understand how every function of the business and ecosystem are related. It also requires businesses to use all assets and resources to their full potential. With the right data analytics solutions, companies can overcome economic, competitive, and quality challenges to achieve unprecedented levels of operation excellence.
There is a lot of buzz around Robotic Process Automation (RPA) and there are those that would try to convince you that RPA replaces Business Process Management (BPM). There are others that would have you believe that BPM can be leveraged to do what RPA does in most cases. Right now RPA works on specific tasks and BPM works on orchestrating all kinds of tasks that involve RPA or not while dynamically delivering changing business outcomes. Over time they will have more overlap as both leverage more intelligence through AI and Algorithms. What Does BPM Do? BPM manages tasks and the sequences in an end to end style while monitoring results and making necessary adaptations to keep goals and business outcomes on point.