A new era of computing dawned this decade, first with IBM Watson winning at Jeopardy and more recently with Google DeepMind winning at Go, the Chinese game of strategy. These breakthroughs have been enabled by the availability of massive volumes of data, new computing architectures, and new algorithms for human-like speech recognition, conversation, vision, and emotion detection. Along with robotic process automation (RPA), AI and bots will transform industries and massively augment human expertise. Demystify the technology. Cut through the hype. Hear what world experts have to say about bringing these tools into your professional toolkit on a workable basis, and using them to build new business capability.
In a business context of ever-faster change, creative approaches to business analysis are critical. Design thinking, gamification, and product management techniques increasingly reflect a more customer-focused approach. Join this Track to learn about emerging methods, as well as about emerging improvements to existing approaches. Learn how you can leverage what others have learned to model and design more effective and innovative business solutions.
Many organizations seem to be caught up in a never-ending stream of transformations occurring one on top of another. Just continually fixing things is straining organizations to the breaking point. How can we work more effectively? The business transformation we really need is to enable ourselves to continually change more easily and quickly – going way beyond just the next fix or the next release. Continuous change requires mechanisms to become inherently more adaptable, as agile as the markets we serve. For that you’ll need more flexible organization charts. You’ll also need to be able to reconfigure business solutions on demand, as well as perform comprehensive, high-fidelity impact assessment. This Track covers all that and more.
Innovation has been defined as bringing to market those products, services and design features that everyone realizes they needed but only after they saw them. Our challenge in becoming innovative is not simply to ask what markets, customers and users would like to have, but to generate new insights, then quickly filter them to those worthy of being pursued further. Rather than just gathering known requirements, professionals should play a proactive role in ideation, whether for new policies, organizations, roles, system features, or complete business solutions. This Track shares the experience of leaders who have mastered critical aspects of innovation
Nowadays challenges with modeling, managing and analyzing data are on almost every professional’s plate. You can ill-afford to be unfamiliar with the related tools and techniques. And as data proliferates, new challenges and opportunities are emerging. Staying competitive means committing to data-driven decision making. Business analytics can provide invaluable insights but poorly coordinated efforts can easily disappoint. Today data is ubiquitous, complex, unstructured, and fast-moving. How can you harness it effectively? This Track ensures you’re up to speed.
Decision management is rapidly becoming the critical methodological and technological framework to support decision-making approaches across a wide range of industries. Nowadays business analysts, architects, developers and decision makers at all levels actively use decision management techniques and technologies such asbusiness rules, business decision modeling, decision testing and execution, predictive and prescriptive analytics, decision optimization, and more. Operational business rules and decision management systems integrate traditional business processes, business rules, advanced analytics, events, and more – directing them all to a common goal – better business decisions. The DecisionCAMP Track features state-of-the-art sessions by leading authorities and practitioners in the area.
Organizations need to fully embrace digitalization in order to innovate new and more powerful digital capabilities across their ecosystems. Digital requires a different strategy, one focusing on creativity, experimentation and end-to-end experience. How exactly is digital business different? Digital business capabilities need to be tackled in the context of an omni-channel world that can involve human and robotic agents, AI, and business analytics. You’ll need to think in terms of new or alternative business models and value propositions. High-quality, integrated data is a must; traceable and explainable results a big plus. Don’t get left behind! Find out about the latest in this Track.
Various forms of Enterprise Architecture (EA) have been with us for decades. Applied properly, thought leaders in the space have always seen EA as a strategic weapon. Unfortunately, in many organizations EA is treated as a means to sort out technology strategies and designs in isolation from business needs. These shortcomings are being corrected by Business Architecture, value streams, business capabilities, and flexible design approaches enabling a more aligned business IT approach. New technologies are emerging rapidly creating new business possibilities. How can you keep everything aligned and build potent, adaptable business platforms? This Track highlights what world-class experts and practitioners have learned about applied EA practices.