Digital transformation initiatives are rapidly and dramatically changing the way organizations operate. In the not-too-distant future, these technologies will have a profound impact on organizations of all sizes and industries. Intelligent automation, most especially AI and generative AI, will automate many tasks that are currently performed by humans. Additionally, virtual reality and augmented reality will be used to create more immersive and engaging experiences for customers and employees. Cloud computing will make it easier for organizations to access the resources they need when they need it. And the list goes on and on. That said, how will technology advancements affect organizations, on an operational, technology, and most notably, workforce level. As technology continues to evolve, will it be a near and dear friend for corporations, yet for their workforces, a detrimental threat. In this session, we will explore these topics from the lens of a Futurist, so to hear their thoughts on how they believe digital transformation will impact organizations in the near future.

In this session, topics of discussion will include, yet will not be limited to:

• How will advances in intelligent automation and generative AI affect organizations of all sizes, from enterprise to mid and small sized companies
• What will be the greatest challenges organizations will face in the coming years as advancements in technology continue to grow exponentially, whereas technology will directly affect all areas of an organization
• How can organizations prepare for the future that lays ahead, on an operational, technology, and workforce level shaping the future of work by the decisions you make now and into the near future, what role should you take to ensure your digital transformation programs are taking a responsible and ethical course, so to ensure socio- economic responsibility

IA Maturity Level: All & Various

Lines of Business Functional Focus: Business-Wide

Pascal Bornet

Award-Winning AI & Automation Expert, Thought Leader, Globally Recognized Influencer & Amazon Best-Selling Author
"INTELLIGENT AUTOMATION: LEARN HOW TO HARVEST AI TO BOOST BUSINESS AND MAKE OUR WORLD MORE HUMAN”

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The business landscape is constantly evolving, demanding innovation and agility. Artificial intelligence (AI) presents a powerful opportunity to transform your organization, unlocking new levels of efficiency, productivity, and customer understanding. 

This session will delve into the practical applications of AI for business transformation. We'll explore: 

• Key AI technologies relevant to various industries, including machine learning, natural language processing, and computer vision. 
• Real-world case studies showcasing how businesses are leveraging AI to achieve significant results across different functions, from marketing and sales to operations and finance. 
• A strategic framework for identifying AI opportunities within your organization, considering factors like data availability, budget constraints, and desired outcomes. 
• Actionable steps for getting started with AI, including building a pilot project and navigating potential challenges. 

IA Maturity Level: All & Various 

Lines of Business Functional Focus: Business-Wide 

Priyanka Singhal - NEW

Associate Vice President, AI & Applied Science
U.S. BANK

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Change often triggers apprehension, as the unknown can be unsettling for most individuals. Similarly, when introducing automation to employees' daily work lives, the fear of change can arise, stemming from concerns about altered job roles, processes, uncertainties about adapting to new technologies, and of course the biggest fear, and that is, automation taking over people’s jobs and their ability to earn an income – all which are very valid concerns. That said, cultivating a work culture and change management initiatives that empowers employees to embrace automation must be a top priority for all automation programs, so to increase automation program roll out success.

In this session, topics of discussion will include, yet will not be limited to:

• Leadership’s role in shaping a culture that embraces change and innovation, fostering an environment ripe for IA integration
• Strategies to encourage collaboration and cross-functional teamwork, enhancing automation adoption and solution ideation
• Training and upskilling programs that increase automation adoption, UX, and usage
• Developing a work culture that celebrates innovation and experimentation encourages the exploration of new automation applications and solutions

IA Maturity Level: All & Various

Lines of Business Functional Focus: HR & Business-Wide

Vipin Jain - NEW

Director - Automation Center of Excellence
OMERS

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Angela McKeirnan

Former Director, Global Procurement Center of Excellence
DENTSPLY SIRONA

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Curt Burghardt

Vice President of People Delivery
UNUM

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Digital twins are virtual representations of real-world processes, assets, or systems that leverage real-time data and simulations to provide insights, optimize performance, and facilitate predictive analytics for enhanced decision-making and innovation. In this session, we’ll dive into a real-world use case that demonstrates how the synergy between real-world processes and their digital replicas can propel operational excellence, optimize decision-making, and foster innovation. 

In this use case session, you will learn more about:

• Benefits of digital twins and their role in amplifying process accuracy and speed
• Continuous monitoring and analysis of live processes, providing real-time insights for rapid decision-making
• How data-driven simulations within digital twins facilitate predictive analytics, allowing organizations to anticipate process outcomes and proactively address issues
• Digital twins to identify vulnerabilities and risks in processes, allowing for timely intervention and risk mitigation strategies

IA Maturity Level: Evolving & Maturing

Lines of Business Functional Focus: Technology, Operations & Much More!

Hemil Dhami - NEW

Managing Principal
ALLEGIANCE AI

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With digital and business transformation initiatives being a top priority for most organizations, many intelligent automation and functional business leaders are measured by the number of successful automation programs they roll out annually. That said, better understanding how to launch more successful automation programs and ensuring they are executed in the most effective manner is a paramount skill set.

In this session, topics of discussion will include, yet will not be limited to:

• Identify, managing, and mitigating common automation program rollout challenges – and potential solutions to address a wide array of automation program rollout hiccups
• Navigate a refined pathway from conceptualization to live implementation, ensuring each step maximizes success potential.
• Ensuring stakeholder initial and continued program buy-in
• Effective IA program team collaboration strategies
• Developing and managing program KPIs/metrics – and how to effectively pivot when necessary

IA Maturity Level: All & Various

Lines of Business Functional Focus: Business-Wide

Rahul Trivedi - NEW

Vice President of Intelligent Automation
TRANSUNION

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Henry Lyles

Director, Global Technology – Smart Automation CoE
MCDONALD'S

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Generative AI became mainstream nearly overnight and some of the earliest adopters of the technology were marketing and sales departments and their teams. Since then, generative AI has been reshaping marketing and sales strategies, enabling teams to drive enhanced engagement, personalization, and revenue generation.

In this session, topics of discussion will include, yet will not be limited to:

• Personalized content creation for crafting personalized marketing content, from email campaigns to social media posts, and much more
• Data-driven customer insights to analyze customer data to reveal powerful insights, and in. turn enable marketing and sales teams to better understand their target markets better
• Automated lead generation to identify potential leads based upon customer profiles and behaviors, fueling efficient sales pipelines
• Enhancing customer journeys by predicting behavior and suggesting tailored interactions

IA Maturity Level: Early Adoption & Implementation

Lines of Business Functional Focus: Marketing, Sales, Technology, Operations & Much More!

Sharlene Jenner - NEW

Vice President, Engagement Strategy & Marketing Technology
ABELSONTAYLOR GROUP

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Tom Marasheski - NEW

Global Head of Intelligent Automation Solutions
MERCK

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Embracing AI, ML, & other autonomous technologies is no longer optional, but essential for survival and growth. Dig into the strategies and techniques for leveraging autonomous technologies to optimize existing systems, empowering organizations to unlock their full potential. 

In this session, topics of discussion will include, yet will not be limited to: 

• Explore real-world case studies of organizations successfully optimizing systems with autonomous technologies 
• Master the transformative potential of autonomous technologies for legacy systems 
• Identify key areas within existing systems that can benefit from autonomous technologies 

IA Maturity Level: All & Various 

Lines of Business Functional Focus: Business-Wide 

Pooja Dewan - NEW

Former Vice President, Chief Data & Analytics Officer
OTIS ELEVATOR CO.

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Automation is a powerful tool that can be used to improve process handling efficiency, accuracy, and compliance. However, mature automation programs can become outdated or inefficient over time. That said, it’s important to regularly optimize existing automation programs, so to ensure they’re still meeting the needs of the business.  There are several business practices and automation tools that can help an organization determine if their existing mature automation programs are performing at maximum capacity - and this session will explore how to take mature automation programs to the next level of optimization.

In this session, topics of discussion will include, yet will not be limited to:

• How to identify and assess an automation program’s efficiency
• Analyzing and reassessing automation program’s use cases – and the automation tools being utilized for said use cases
• Data analytics tools to analyze data, so to identify tasks that might be repetitive, time-consuming, or error-prone
• Utilizing such technologies as IDP, process mining, machine learning, NLP to maximize automation usage and business results
• Optimizing automation programs by layering generative AI, data analytics, or other automation tools into various automation frameworks

IA Maturity Level: Maturing

Lines of Business Functional Focus: Technology, Operations & Much More!

Seshu Yalamanchili - NEW

Director, Artificial Intelligence & Machine Learning Application Strategy and Execution
VISA

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Successful introduction, implementation, and scaling of automation and generative AI rely heavily on effective data management practices within organizations. Robust data management ensures the availability, quality, integrity, and security of data, providing a solid foundation for automation initiatives. By leveraging well-managed data, organizations can enhance the accuracy, efficiency, and effectiveness of their automation and generative AI programs. Furthermore, it enables them to avoid the “garbage in, garbage out” problems that often get in the way of automation teams having “good and clean data” to work with when developing and rolling out automation initiatives.

In this session, topics of discussion will include, yet will not be limited to:

• Defining data ownership, establishing data quality standards, and implementing security protocols to safeguard sensitive finance operations information and data
• Placing a strong emphasis on data security and compliance by implementing encryption, access controls, and audit trails to protect sensitive data
• Developing comprehensive data management practices that adhere to regulatory requirements and compliance standards, mitigating risks associated with data breaches, privacy violations, and non-compliance

IA Maturity Level: All & Various

Lines of Business Functional Focus: Technology, Operations & Business-Wide

Maya Devakiamma - NEW

Global Head of Enterprise Architecture, Planning & Generative AI
SYSCO

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Jayanthi Srinivasan - NEW

Vice President of Technology
JOHN HANCOCK

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Shaema Talib - NEW

Vice President, Product Strategy & Analytics - Digital Care Delivery
MEDSYS HEALTH

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Step into the captivating world of predictive analytics and unveil the secrets hidden within your data, revealing hidden patterns, forecasting future trends, and empowering you to make informed decisions with unprecedented confidence. Dive deep into the realm of data-driven insights and unlock the door to success. 

In this session, topics of discussion will include, yet will not be limited to:   

• Comprehend the fundamental concepts of predictive analytics and its role in data-driven decision-making 
• Observe the practical applications of predictive analytics 
• Determine strategies for evaluating and selecting the most appropriate predictive modeling techniques 

IA Maturity Level: All & Various 

Lines of Business Functional Focus: Business-Wide 

Chitrang Dave - NEW

Senior Director, Enterprise Data & Analytics
EDWARDS LIFESCIENCES

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Whether you believe the autonomous enterprise is a distant aspiration or a future certainty, this session will provide you with the acumen and perspectives necessary to navigate the transformative path towards intelligent operations and adaptive organizations. Join us for this thought-provoking debate, as we consider the compelling arguments for and against the rise of autonomous enterprise. 

In this session, topics of discussion will include, yet will not be limited to: 

• Uncover the technological advancements that are fueling the autonomous enterprise revolution 
• Identify the organizational challenges and cultural shifts required to embrace autonomous operations 
• Determine ethical considerations and regulatory implications of autonomous systems, ensuring responsible and compliant implementation 
• Learn real-world examples of organizations that are pioneering the autonomous enterprise journey, sharing their successes, challenges, and lessons learned 

IA Maturity Level: All & Various 

Lines of Business Functional Focus: Business-Wide 

John Jiang

Ph.D, Chief Research & Solution Architect and Cloud Big Data Architect & Data Scientist
HITACHI

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Liladhar Bagad - NEW

Chief Data & Information Officer
INOGEN

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