How is OPEX management changing as AI maturity increases? Join our panel discussion as we explore how AI is enhancing agility and process excellence in 2024 and how industry and the way we work is transforming as a result.

Key takeaways:

• Determine where AI systems and processes can be best applied to optimize process excellence, productivity, and OPEX reduction within your own setting
• How does generative AI fit in with machine learning, data mining, and code-writing, and how is it already speeding up industry and transforming the way we work?
• Speeding up of systems and processes – what can AI do for productivity and how is this playing out in practice?
• How is AI affecting the overall workforce? What kind of upskilling and reskilling of current PEX employees is required to manage AI effectively? 

Amanda Breeden

Sr. Director, Sponsored Programs and Research Office
Denver Health

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Rahul Zende

Principal Data Scientist
Navy Federal Credit Union

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Samuel Parra

NA Manufacturing Integration Leader
BASF

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Michael Hill

Editor
PEX Network

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Generative AI excels at being able to create non-deterministic answers ("an" answer vs "the answer"). That is fine if you want to write a poem. However, in the world of business data analytics, you need to ensure that your business users get the right answer every time. The problem, you don't have time to create your own LLM and you don't want to share all of your data either. Learn from our product experts about the journey that MicroStrategy has taken over the past year to ensure the generation of reliable trusted answers from any data using the combined power of AI + BI.

Key takeaways:

• Understand the challenges of non-deterministic answers in generative AI and its implications in business data analytics.
• Explore MicroStrategy's innovative approach to integrating AI and BI to provide reliable and accurate answers for business users.
• Learn about the journey MicroStrategy has undertaken to ensure the generation of trusted answers from diverse data sources, leveraging the combined power of AI and BI

Ananya Ojha

Senior Vice President, Product Management
MicroStrategy

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Erika Moreno

Vice President, Product Management
MicroStrategy

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In this in-depth case study session, Stephen Cummings from Fingent will discuss how to approach the use of AI applications for business, while Albert will present a case study of Ambit, Sapra & Navarra's platform for handling claims management in worker compensation.

Key takeaways:

• Discover how AI is being used in a real life setting to reduce human errors and ease personnel issues
• Find out about the easier and faster analysis capabilities which AI is bringing with iit, enabling the automated analysis of complex data and contexts
• Learn how AI can be used to enable efficient document organization, identification of the latest processed and corrupted files, with documents being correctly classified within minutes

Sponsored by: Fingent

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Stephen Cummings

SVP Strategy
Fingent

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Albert Navarra

Principal
Sapra and Navarra LLP

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The landscape of automation is undergoing a seismic shift with the emergence of generative AI. Whilst its potential for efficiency gains is undeniable, harnessing this power effectively requires careful consideration. This exclusive webinar will explore the challenges associated with generative AI implementation and demonstrate how intelligent automation (IA) can be used to maximize its effectiveness - at scale - while maintaining security and control. 

Key takeaways:

• Identify the benefits and risks of using generative AI in your business processes
• Understand how intelligent automation can help you mitigate these risks and maximise value by combining generative AI with automation
• Discover Use cases and best practices to deploy generative AI safely, securely and at scale using SS&C Blue Prism

Sponsored by: SS&C Blue Prism

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Benoit Cayla

Global Technology Alliance Strategist
SS&C Blue Prism

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Satish Shenoy

RVP, Global Technology Alliances & AI Strategy
SS&C Blueprism

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As Mars' chief enterprise eCommerce architect, and principal GenAI engineer, Lee leads, and advises on strategy, governance, policy and delivery. His subject matter expertise includes digital innovation and AI-enabled business models, omni-channel commerce, GPT/LLM-based and ethical AI, technology policy and governance processes. Since 2023, Lee has co-led the creation of the AI reference architecture foundation, and PoC assessment governance process for dozens in early-to-market, next wave AI/ML and GenAI test–and-learn collaborations - upskilling associates and ways-of-working processes.

In this session, we will discuss, and share key takeaways:

• Learning from the current AI Vision, how foundations and processes enable decentralized organizations.
• Methods for, and examples of AI usage, PoCs, Test and Learns, and upskilling .
• Advantages and benefits for multiple AI-empowered enterprise business models.
• Importance of ethical AI policy, and AI processes assessment, and guardrails protections which are evolving.
• Our chat will wrap with a look to the future of AI and GenAI across the enterprise. and optimization.

Lee Bogner

Global eCommerce Chief Enterprise Architect & Master GenAI Engineer at Mars and Hofstra Professor, MIT Educator.
Mars

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If we can ensure that the data produced through AI means is of optimal quality, the possibilities for how it can transform business productivity are endless. From enterprise architecture to procure-to-pay to supply chain management and beyond, join us as we examine how to lower expenditure and improve efficiency and capability in every corner of the business.

Key takeaways:

• Strategies for harnessing the potential of AI to enhance productivity, reduce costs, and drive competitive advantage
• Real-world applications of AI in process automation and improvement
• Addressing data quality, bias, and security issues in AI implementation
• Unlock continuous improvement and continuous development through AI

Saima Shafiq

SVP, Software Engineering Director, Head of Applied AI Transformation
PNC

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Samuel Parra is NA Manufacturing Integration Leader for the chemical firm BASF, pioneering the use of Lean and Agile in Manufacturing to consistently deliver value to the customer. Join us for this presentation case study in which he shares BASF's learnings on the benefits and the pitfalls of artificial intelligence and where it makes most sense to deploy AI within the fabric of the company.

Key takeaways: 

• Discover how BASF are successfully working with AI, machine learning and Generative AI large language model systems in a number of different areas across their business
• Understand the limitations of what can realistically be achieved with AI, given the time it takes to develop reliable systems and the significant costs involved
• Find out how BASF anticipate their usage of AI to develop in coming years
• Determine how to best ensure that AI is developed, deployed and utilized responsibly within the business, both now and in the future

Samuel Parra

NA Manufacturing Integration Leader
BASF

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