It is difficult to know where to start your automation journey. Hear how leaders have achieved automation success through balancing costs, efficiency and ROI to build a business case for automation. It all starts with a plan; in this interactive session we will discuss proven methods to: 

• Identify stakeholders and functional leaders who need to buy-in  
• Assess which OKRs, goals and metrics are crucial to prove business impact and measure ROI 
• Hear best practices that have led programs to significant results   

An automation Center of Excellence (CoE) can help an organization achieve automation objectives and increase efficiency and productivity, reduce cost and minimize human error for the business. Join this session to walk through a step-by-step approach on how to kickstart your CoE by considering the following: 

• Defined objectives and automation strategies 
• How to identify and prioritize automation opportunities  
• How to select and implement the right tools and tech  
• Training and upskilling involved 
• How to measure automation impact and tips to optimize if you aren’t seeing desired results 
• Governance and oversight best practices  

Saeed Contractor

Global Head of the Intelligent Automation COE, Tech
Uber

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Learn from those who have paved the way to successful RPA implementation. Don’t make the same mistakes and take advantage of what worked best to accelerate your projects.  

• Identify bottlenecks and analyze business processes for RPA automation and improvement opportunities  
• Consider how to select the right process for RPA based on your desired benefits/priorities  
• Involve the right teams and functional areas to mitigate risk  
• Explore how to optimize your RPA implementation over time through continuous improvement 
• Hear examples of what to do and what not to do in your implementation 

We live in a rapidly advancing digital era, with new tools popping up constantly. Resisting the urge to force fit a problem into a new, shiny technology isn’t easy – how do we identify the right opportunity and not hammer looking for nails but instead lead with improvement opportunities?  

• Explore strategic approaches to identify process improvement opportunities and use a fit for purpose approach  
• Hear use cases where RPA, IDP, AI and GenAI have been retrofitted to solve business problems 

Kartick Kalaimani

Vice President, Global Contract to Cash Value Stream Lead
Dentsu

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With over 60% of Governance teams reported to slow or breakdown processes, this is a top challenge for automation leaders. Hear how organizations are successfully managing their governance roadmap to eliminate roadblocks, create strong guidelines/guardrails and mitigate risk.  Hear best practices on how to: 

• Align objectives with governance teams  
• Create a roadmap to secure models with your IT and Governance teams  
• Consider a buy vs build approach to technologies 
• Work with your governance team to conduct a risk assessment  

Ensuring you are selecting the right tool is critical, especially one that can shed light on operational bottlenecks, inefficiencies and potential opportunities for optimization. Join this session to unpack the steps to determine the right fit for your project.  

• Impact both technologies can offer in functional areas for greatest impact 
• Requirements needed to ensure successful integration  
• Best practice to measure the success of the tools performance  
• Impact that this technology can have on the data, ultimately impacting decision-making 

Is this a top-of-mind KPI for your organization? There are so many benefits from scaling the number of automation implementations you enable. This may include full digital transformations becoming more feasible, an enhanced customer experience or simply staying competitive in a fast-paced business world. 

• Identify, manage and mitigate common automation program rollout challenges 
• Maximize your implementation potential through proven reward and risk assessment strategies 
• Solidify continued stakeholder buy in  
• Measure impact of programs and identify where to iterate for improvement 

Automations are just as good as the data we have. The top two challenges that enterprise leaders face include having available (and clean) data and understanding exactly what their legacy systems are capable of.  Together, we will troubleshoot these challenges and offer strategic answers to your questions including: 

• What data management techniques can be used to organize, clean and gather ‘good’ data? 
• How do you standardize your systems to be in a place to automate? 
• What have other organizations done to overcome these roadblocks to not delay their automation journey? 

As leaders in value creation, Automation leaders can be leveraged by the business to assist in transformations and continuous improvement. Understanding business transformation challenges is key. Join leaders to discuss: 

• The best way for IA to collaborate in continuous improvement initiatives 
• Unpack what drivers are most important to the successes of CI projects 
• Common business challenges faced in transformation initiatives  
• Examples of successful contributions of IA leaders in CI

As leaders in value creation, Automation leaders can be leveraged by the business to assist in transformations and continuous improvement. Understanding business transformation challenges is key. Join leaders to discuss: 

• The best way for IA to collaborate in continuous improvement initiatives 
• Unpack what drivers are most important to the successes of CI projects 
• Common business challenges faced in transformation initiatives  
• Examples of successful contributions of IA leaders in CI

Mindie Fischer

Senior Vice President, Operations Enablement and Automation
US Bank

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