This report helps AD&D professionals get the most business value from engagements with RPA service providers.
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Every organization has implemented automation, and its impact on winning, serving, and retaining customers is unquestionable. Robotic process automation (RPA) is the tip of the spear that is driving automation in the enterprise. However, despite investments in RPA, scale remains elusive. More than half of all global enterprises that embark on the RPA journey fail to scale beyond their first 10 bots. Moreover, enterprises struggle with scaling beyond "islands of automation" and unlocking enterprisewide value from their bot program.
Key takeaways:
Target audience level: beginner and intermediate
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Real-time interaction management (RTIM) delivers contextually relevant experiences, value, and utility at the appropriate moment in the customer lifecycle via preferred customer touchpoints. Assembling an effective RTIM ecosystem lays the foundation for enabling more immersive, invisible customer experiences. It's an enterprise challenge involving significant investments in both technology and people. Successful projects deliver long-term ROI.RTIM is more than a single technology platform. Your needs may dictate a centralized next best experience (NBX) decision engine, a customer journey orchestration (CJO) solution, a cross-channel marketing hub (CCMH), a personalization engine (PE), or a combination of these capabilities. This webinar helps you choose the right solution to meet your RTIM needs.Key takeaways: Understand the current RTIM landscape.Learn about different RTIM solutions (NBX, CJO, CCMH, and PE).Discover which RTIM capabilities are right for you.Hear best practices examples from leading firms.Vendors mentioned: Adobe, Dynamic Yield by Mastercard, Engage Hub, Genesys, HCLSoftware, Medallia, Microsoft, MoEngage, Monetate, NGDATA, Pegasystems, Salesforce, and SASTarget audience level: intermediate and advanced
Enterprises must modernize their applications assets to avoid paying the many costs of technical debt. But relatively few enterprises are able to navigate the challenge entirely on their own. The Forrester Wave™: Applications Modernization And Migration Services, Q1 2024, describes a market on the verge of a tsunami of change driven by generative AI (genAI). Application modernization has become the new frontier of application management services (AMS), with existing outsourcing relationships often serving as a springboard to modernization engagements — but the same supplier that excels in AMS may not be the ideal partner for modernization.Key takeaways:Hear about how leading application modernization services providers are differentiating themselves and delivering customer value.Learn how genAI and other forms of automation are revolutionizing application modernization services.Explore how modernization services are being priced and delivered to achieve the greatest possible business impact.Target audience level: intermediate
Data quality is not a destination but a continuous journey of evolution and prioritization. “Redux” for data quality refers to the ongoing activity of improving data quality as an iterative process. Creating high-quality data involves identification of issues related to data accuracy, completeness and consistency, remediation, continuous monitoring, and maintenance of these processes throughout the lifecycle of the data.Key takeaways:Learn how to identify data quality issues and improve incrementally and iteratively.Understand how data quality can be augmented through automated rules recommendation, dashboards, observability, and statistics.Target audience level: all levels
Forrester's The Future Of Cloud report describes how cloud will become abstracted, intelligent, and composable. But that's not in the far-off future — it's right now. AI is changing the value proposition of cloud. Cloud-native technologies such as Kubernetes already provide a common abstraction layer that spans on-premises and edge computing as well as public cloud providers. Intelligence — the AI embedded within cloud services — provides higher levels of functionality for operators, incorporating infrastructure as code and other automation. All this is enabling cloud customers to begin composing their own clouds in various ways. In this webinar, we discuss why and how cloud customers can shape their own future.Key takeaways: Hear about the various ways in which cloud-native infrastructure is bringing new scale and capacity for innovation to enterprise-class IT.Learn how AI is rapidly reshaping cloud operations.Explore how organizations are composing their own clouds based on public cloud infrastructure through various means, including multicloud container platforms, cloud-based platforms for data, and enterprise apps as well as software as a service (SaaS).Target audience level: all levels
Leading firms will accelerate transformative automation efforts in 2024 fueled by a new round of AI enthusiasm. This will alter investment in process automation methods and tool selection. Advances in physical automation and practical application of large language models (LLMs) in operational enterprise use cases will also boost physical and cognitive automation. Enterprises that get ahead of these trends will balance the risk and reward of automation.Key takeaways:Enterprise will learn how the proliferation of process intelligence tools marks a step change in the evolution of automation strategies, from task automation to end-to-end process automation.Attendees will understand the emergence of autonomous workplace assistants (digital coworkers), LLMs that will power 10% of operational process automations, drawing investment away from transformation initiatives that garner most of the LLM hype. LLMs with the greatest ROI will be company and domain specific.Attendees will take away Forrester's view of automation risks: that 20% of large enterprises will include automation in enterprise risk registers and develop risk mitigation strategies for major automation efforts.Target audience level: intermediate