CIP Projects Fall 2026

Sponsor Introduction

Liberty Global is an international connectivity and technology company and one of the world’s leading converged broadband, video and mobile providers. Through its operating businesses, ventures and joint ventures it serves consumers and businesses across Europe, with a portfolio that includes leading brands such as Virgin Media O2 (UK), VodafoneZiggo (Netherlands) and Telenet (Belgium). Its technology organisation – Liberty Tech (LTech) – builds the converged network, platform, data and AI capabilities that power these businesses.

Project Description

GenAI, agentic AI and automation can reinvent how the telco runs end to end – across network, IT and customer operations – shifting from human-led to AI-led decisioning with human oversight and targeting the largest cost pool in the business. 

Why

Operations are the largest cost and complexity pool in telecom. An AI-native model can drive step-change OPEX reduction, faster resolution, lower energy use and better customer experience – reshaping the whole operating model, not just adding point tools in one function. 

What

Establish which activities across network, IT and customer operations can realistically be automated, augmented or eliminated through AI – and define what an autonomous, AI-first operating model for a telco should look like by 2030. 

How

Map activities across network, IT and customer operations; identify automation, augmentation and elimination opportunities; design the future-state model with governance and workforce implications; keeping resilience & cyber implications in consideration; quantify savings and service gains; and build a phased roadmap – with LTech operations leaders engaged at milestones. 

Who

MBA students with interests in operations and technology strategy, AI and automation, operating-model design and large-scale transformation; partnering with LTech’s Network, IT and Customer Operations teams, sponsored by the CTO Office. 

Deliverables

A future-state, end-to-end AI-native operating model – prioritised use cases across network, IT and customer operations, governance and workforce implications, and a phased roadmap with quantified savings and service gains – supported by midpoint and final presentations and a short executive summary. 

Sponsor Introduction
Noom is a leading digital health platform focused on behavior change, weight management, and long-term wellness. Through its integrated care model and owned compounding pharmacy, Noom is expanding into the rapidly evolving longevity and preventive health market, including peptide-based therapies expected to launch in 2026 and beyond. 

Project Description
Help Noom chart its path through the emerging peptide and longevity landscape as a responsible, consumer-centric healthcare player. The project will assess the competitive environment, regulatory considerations, consumer demand, and commercialization opportunities for peptide therapies and develop strategic recommendations to support the launch and expansion of this new business line. 

Why
The peptide and longevity category is growing rapidly but remains fragmented, lightly regulated, and highly competitive. Noom has an opportunity to differentiate itself through clinical credibility, trusted consumer engagement, and integrated care delivery. The company seeks to proactively define a scalable and responsible market strategy as it expands its formulary and offerings. 

What
Students will evaluate the current peptide and longevity ecosystem, identify attractive market segments and customer use cases, assess competitor positioning and partnership opportunities, and recommend go-to-market strategies for Noom’s peptide offerings. The project may also explore opportunities for future product expansion and long-term growth within the broader longevity category. 

How
The team will conduct market research, customer and stakeholder interviews, competitive benchmarking, regulatory analysis, and business model evaluation. Students will synthesize findings into strategic recommendations and an actionable roadmap for commercialization and growth. 

Who
This project is well suited for students with interests in healthcare, digital health, pharmaceuticals, consumer wellness, strategy, marketing, operations, or emerging healthcare technologies. Experience with healthcare regulation, go-to-market strategy, or venture growth is a plus. 

Deliverables 

• Market landscape and competitive analysis  
• Customer segmentation and demand assessment  
• Go-to-market strategy recommendations  
• Strategic growth opportunities and partnership evaluation  
• Commercialization roadmap and implementation considerations  
• Final presentation and executive summary for Noom leadership 

Sponsor Introduction 

Respid² is a patented breath-based diagnostic platform designed to detect one or multiple diseases through analysis of exhaled breath. The technology offers a fast, noninvasive, and potentially scalable approach to disease screening that could be deployed across healthcare, education, workplace, and travel settings. The company is led by an experienced team of scientists, entrepreneurs, and healthcare innovators with deep expertise in medical technology commercialization. 

Project Description 

Develop a commercialization and market-entry strategy for Respid², including assessment of target markets, regulatory pathways, reimbursement opportunities, partnership models, and competitive positioning. Students will evaluate the most attractive initial use cases and create recommendations to accelerate adoption and investment readiness. 

Why 

Early disease detection remains a major challenge across healthcare systems worldwide. Current diagnostic approaches are often costly, invasive, time-consuming, or inaccessible at scale. Breath-based diagnostics have the potential to transform screening by providing rapid, noninvasive testing that can be deployed in a wide range of environments. Respid² seeks to identify the most viable pathways for bringing this technology to market and maximizing its clinical and commercial impact. 

What 

Students will investigate: 

• Market opportunities for breath-based diagnostics 
• Priority disease indications and customer segments 
• Regulatory and reimbursement pathways 
• Competitive landscape and differentiation 
• Pricing and business model options 
• Strategic partnerships with health systems, employers, schools, transportation hubs, and other stakeholders 
• Funding and investor positioning strategies 

How 

The project will combine primary and secondary research, including: 

• Market sizing and industry analysis 
• Customer discovery interviews with clinicians, healthcare administrators, payers, and potential commercial partners 
• Benchmarking against competing diagnostic technologies 
• Evaluation of regulatory and reimbursement requirements
• Development of commercialization scenarios and go-to-market strategies 
• Synthesis of findings into strategic recommendations for company leadership 

Who 

Ideal candidates include MBA students with interests in: 

• Healthcare innovation 
• Entrepreneurship and venture creation 
• Biotechnology and diagnostics 
• Commercialization strategy 
• Healthcare economics and reimbursement 
• Business development and partnerships 

Interdisciplinary collaboration with students from medicine, engineering, public health, or data science programs would also be valuable. 

Deliverables 

• Market size and opportunity assessment 
• Competitive landscape analysis 
• Regulatory and commercialization roadmap 
• Customer discovery interview findings 
• Go-to-market strategy recommendations 
• Business model and pricing framework 
• Partnership development strategy 
• Investor-facing strategic presentation and executive summary

Sponsor Introduction 

The Philadelphia Union is a Major League Soccer (MLS) franchise and one of the fastest-growing sports organizations in the United States. Through its competitive success, strong academy system, and passionate supporter base, the Union has established itself as a premier sports brand in the Philadelphia region. 

As the sports industry becomes increasingly data-driven, organizations are seeking more sophisticated methods to understand fan behavior, improve engagement, and maximize long-term revenue. The Philadelphia Union is interested in exploring a Fan Lifetime Value (FLV) framework—similar to Professor Peter Fader’s Customer Lifetime Value (CLV) methodology—to better understand, predict, and enhance the long-term value of its fan relationships. 

Project Description 

Why 

Professional sports organizations often evaluate success using attendance, ticket sales, sponsorship revenue, and merchandise purchases. However, these metrics frequently focus on short-term transactions rather than the long-term value of fan relationships. 

Not all fans contribute equally over time. Some become lifelong season ticket members, purchase merchandise regularly, engage with digital content, attend events, and influence others to become fans. Understanding which fan segments generate the greatest long-term value can help the Philadelphia Union make smarter investments in marketing, fan engagement, ticketing, and customer acquisition. 

By developing a Fan Lifetime Value framework, the Union can better understand how fan behaviors today translate into future revenue and engagement, enabling more effective strategic decision-making. 

What 

The project will explore the feasibility of creating a Fan Lifetime Value model for the Philadelphia Union and identify how such a framework could be incorporated into business operations. 

Key questions include: 

• How should Fan Lifetime Value be defined for a professional sports organization? 
• What fan behaviors are most predictive of long-term value? 
• Which data sources are available to support FLV modeling? 
• How do different fan segments contribute to revenue over time? 
• How can FLV be used to improve marketing, retention, ticketing, sponsorship, and fan experience strategies? 
• What organizational capabilities and technology investments would be required to operationalize FLV? 

The project will focus on developing a strategic and analytical framework rather than building a production-ready predictive model. 

How 

The MBA team will: 

• Review Professor Peter Fader’s Customer Lifetime Value framework and assess its applicability to professional sports organizations. 
• Analyze current fan engagement channels, including ticketing, memberships, merchandise purchases, digital engagement, social media interactions, and event participation. 
• Inventory and evaluate available fan data sources and customer relationship management (CRM) systems. 
• Benchmark how leading sports organizations and entertainment brands measure fan value and loyalty. 
• Develop a conceptual Fan Lifetime Value model tailored to the Philadelphia Union. 
• Identify key fan segments and evaluate their potential long-term economic value. 
• Assess opportunities to use FLV in marketing, retention, pricing, sponsorship activation, and fan development initiatives. 
• Recommend data, technology, governance, and organizational requirements needed to implement an FLV strategy. 

Who 

Key stakeholders may include: 

• Philadelphia Union Executive Leadership 
• Ticket Sales and Membership Teams 
• Marketing and Fan Engagement Teams 
• Corporate Partnerships and Sponsorship Teams 
• Business Intelligence and Analytics Teams 
• CRM and Digital Strategy Teams 
• MLS League Analytics Representatives 
• Finance and Revenue Operations Teams 

The MBA project team will collaborate with Union stakeholders to understand current fan engagement practices and develop actionable recommendations for implementing a Fan Lifetime Value approach. 

Deliverables 

Fan Lifetime Value Literature Review 

• Overview of Customer Lifetime Value principles and relevant academic research. 
• Assessment of how CLV concepts can be adapted for sports organizations. 

Current-State Fan Data Assessment 

• Inventory of available fan data sources. 
• Evaluation of data quality, accessibility, and analytical capabilities. 

Fan Segmentation Analysis 

• Identification of key fan segments and engagement profiles. 
• Assessment of current and potential future value across segments. 

Fan Lifetime Value Framework 

• Definition of Fan Lifetime Value for the Philadelphia Union. 
• Proposed metrics, drivers, and measurement methodology. 

Strategic Use Case Analysis

• Applications of FLV in: 
• Season ticket membership growth 
• Fan retention and loyalty programs 
• Marketing campaign optimization 
• Merchandise and ancillary revenue generation 
• Sponsorship activation and valuation 

Business Case and ROI Assessment 

• Estimated impact of FLV-driven decision making. 
• Potential revenue growth and marketing efficiency opportunities. 

Implementation Roadmap 

• Recommended data infrastructure, analytics capabilities, and organizational processes. 
• Phased approach for piloting and scaling FLV initiatives. 

Executive Presentation 

• Strategic recommendations and roadmap for leveraging Fan Lifetime Value as a core driver of fan engagement and revenue growth. 

Expected Impact 

This project will provide the Philadelphia Union with a strategic framework for understanding fans as long-term assets rather than individual transactions. By applying Fan Lifetime Value principles, the organization can make more informed decisions regarding fan acquisition, engagement, retention, and monetization, ultimately strengthening both fan loyalty and long-term business performance. 

Sponsor Introduction 

The Philadelphia Union is a Major League Soccer (MLS) franchise and one of the premier professional sports organizations in the Philadelphia region. Since joining MLS in 2010, the Union has built a strong fan base, developed a nationally recognized youth academy, and established Subaru Park in Chester, Pennsylvania as its home venue. 

As the organization continues to grow its brand, fan engagement, and commercial partnerships, the Union is exploring long-term opportunities to enhance accessibility, increase attendance, strengthen regional visibility, and maximize economic impact. One strategic consideration is the potential relocation of the club’s stadium operations from Chester to a site within Philadelphia city limits. 

Project Description 

Why 

Subaru Park has served as the home of the Philadelphia Union for more than a decade and has contributed to the revitalization efforts in Chester. However, evolving market dynamics, transportation accessibility, fan expectations, and commercial opportunities may warrant evaluating alternative stadium locations. 

A stadium located within Philadelphia could potentially improve public transit access, increase attendance, enhance sponsorship and hospitality opportunities, strengthen the club’s connection to the city, and support broader economic development initiatives. At the same time, relocation would involve significant financial, operational, political, and community considerations. 

A comprehensive feasibility study is needed to assess whether relocating the stadium would create sufficient strategic and financial value for the organization and its stakeholders. 

What 

The project will evaluate the feasibility of relocating the Philadelphia Union’s home stadium from Chester, Pennsylvania to a location within Philadelphia. 

The study will assess: 

• Potential stadium sites within Philadelphia
• Transportation and accessibility considerations
• Fan demand and attendance implications
• Economic development opportunities and community impact
• Financial costs and funding mechanisms
• Sponsorship, premium seating, and revenue implications
• Political, regulatory, and stakeholder considerations
• Risks associated with relocation versus remaining in Chester
• Long-term strategic implications for the club and MLS

How 

The MBA team will: 

• Conduct a market analysis of professional sports venues and urban stadium development projects. 
• Identify and evaluate potential Philadelphia stadium sites using criteria such as accessibility, land availability, infrastructure, and development potential. 
• Analyze current fan demographics, attendance patterns, and transportation behaviors. 
• Benchmark comparable MLS and professional sports stadium relocation projects. 
• Assess potential revenue impacts, including ticket sales, sponsorships, hospitality offerings, naming rights, and ancillary development opportunities. 
• Evaluate financing options, including private investment, public-private partnerships, tax incentives, and municipal support. 
• Analyze stakeholder interests, including fans, local governments, community organizations, sponsors, and league representatives. 
• Develop financial models comparing relocation scenarios with continued investment in Subaru Park. 
• Provide strategic recommendations and an implementation roadmap if relocation is determined to be viable. 

Who 

Key stakeholders may include: 

• Philadelphia Union Executive Leadership 
• Ownership Group 
• Major League Soccer (MLS) 
• City of Philadelphia Officials 
• Chester City Officials 
• Economic Development Agencies 
• Corporate Sponsors and Partners 
• Fan Representatives and Supporters’ Groups 
• Real Estate Development Partners 
• Transportation and Infrastructure Authorities 

The MBA project team will work closely with Philadelphia Union leadership and relevant stakeholders to gather data, assess opportunities, and develop actionable recommendations. 

Deliverables 

Current-State Assessment

• Evaluation of Subaru Park’s strengths, limitations, and future outlook. 
• Analysis of attendance, accessibility, and revenue performance. 

Site Evaluation Report

• Assessment of potential Philadelphia locations. 
• Comparative analysis of site opportunities and constraints. 

Market and Fan Impact Analysis

• Evaluation of projected attendance, fan engagement, and customer experience implications. 

Economic and Financial Feasibility Study

• Cost estimates, funding strategies, and financial projections. 
• Revenue impact analysis and return-on-investment assessment. 

Stakeholder and Risk Assessment

• Analysis of political, regulatory, community, and operational considerations. 
• Identification of key risks and mitigation strategies. 

Strategic Recommendation

• Recommendation regarding relocation feasibility. 
• Comparison of relocation versus remaining in Chester. 

Implementation Roadmap

• High-level timeline, milestones, governance structure, and next steps for execution. 

Executive Presentation

• Final presentation summarizing findings, strategic recommendations, and decision-making framework for leadership. 

Why
Tata Communications needs a systematic, forward-looking capability to identify and evaluate emerging technologies before they become mainstream. As technology cycles accelerate, relying on periodic research is no longer sufficient. An Agentic AI-powered Emerging Technology Radar will enable continuous technology intelligence, helping the organization anticipate disruption, prioritize innovation investments, identify new business opportunities, and make informed strategic decisions across short-, medium-, and long-term horizons. 

What
Develop an AI-powered Emerging Technology Radar that continuously discovers, monitors, and analyzes disruptive technologies across Horizon 1, Horizon 2, and Horizon 3. The platform will assess each technology’s strategic relevance to Tata Communications, identify potential business use cases, monitor technology maturity and market adoption, and map the surrounding innovation ecosystem—including startups, academic research, patents, standards bodies, investors, and industry leaders. 

How
The solution will leverage Agentic AI workflows that autonomously gather, synthesize, and analyze signals from diverse public and proprietary data sources. AI agents will: 

• Continuously discover emerging technologies and trends
• Assess technology maturity, market momentum, and strategic relevance using predefined evaluation frameworks
• Detect important signals such as funding activity, research breakthroughs, product launches, standards evolution, acquisitions, and regulatory developments
• Identify potential use cases aligned to Tata Communications’ business and product portfolio
• Map the innovation ecosystem across startups, enterprises, universities, investors, and research institutions
• Present insights through interactive dashboards, technology radar visualizations, alerts, and executive-ready summaries.  

Who
The platform is intended for: 

• Corporate Strategy and Innovation teams
• Technology Leadership and CTO Office 
• Product Management and Product Strategy teams  
• Research & Development organizations  
• Business Unit Leaders  
• Venture, Partnership, and Ecosystem teams  
• Executive leadership responsible for strategic planning and investment decisions  

Deliverables: 

• AI-powered Emerging Technology Radar platform  
• Horizon 1, Horizon 2, and Horizon 3 technology classification framework  
• Continuous technology discovery and monitoring capability  
• Technology assessment framework (relevance, maturity, adoption, impact, risk)  
• Strategic use case recommendations aligned to Tata Communications’ business  
• Innovation ecosystem mapping (startups, academia, industry leaders, investors, standards organizations)  
• Technology trend dashboards and interactive radar visualizations  
• Automated alerts for significant market and technology developments  
• Executive reports and foresight summaries  
• Strategic opportunity and whitespace analysis to support innovation and investment decisions 

Sponsor Introduction 

UKG is a leading provider of human capital management (HCM), payroll, workforce management, and employee experience solutions. Serving organizations across industries worldwide, UKG leverages advanced technology and AI-driven innovations to help businesses manage their workforce more effectively and create great workplace experiences. 

As UKG continues to expand its use of artificial intelligence, there is an opportunity to improve how employees access and analyze information stored across the company’s extensive contract repositories. 

Project Description 

Why 

UKG maintains a large volume of contracts and legal documents across multiple repositories, including customer agreements, vendor contracts, partnership agreements, statements of work, and related documentation. Finding specific information often requires manual searches across disparate systems, creating inefficiencies and increasing the time required to answer business-critical questions. 

An AI-powered Contract Analyst Agent can significantly improve productivity by enabling employees to quickly retrieve, summarize, and analyze contract content through natural language interactions. This capability would reduce time spent searching for information, improve decision-making, and increase organizational knowledge accessibility. 

What 

The project will evaluate the feasibility, business value, and implementation strategy for a Contract Analyst Agent that can: 

• Access and leverage multiple UKG document repositories. 
• Understand and index contract content across various document formats. 
• Answer natural language questions about contracts and agreements. 
• Retrieve relevant contract clauses and supporting documents. 
• Summarize key contractual obligations, terms, risks, and renewal dates. 
• Provide source citations and references to ensure accuracy and trustworthiness. 
• Support legal, procurement, sales, and business operations teams in contract-related inquiries. 
• Extract data to visualize Revenue recognition by tiered risk levels 
• Identification of red-lines What changed between each versions 

How 

The MBA team will: 

• Assess current contract management workflows and document repositories. 
• Identify key user groups and their contract-related information needs. 
• Benchmark industry best practices and emerging AI-powered contract analysis solutions. 
• Evaluate available AI, retrieval-augmented generation (RAG), and document intelligence technologies. 
• Define business requirements, governance considerations, security requirements, and success metrics. 
• Develop a high-level solution architecture and implementation roadmap. 
• Quantify potential business benefits, including productivity gains, cost savings, and risk reduction. 
• Provide recommendations for pilot deployment and future scaling. 

Who 

Key stakeholders may include: 

• Legal Operations and Corporate Counsel 
• Procurement and Vendor Management Teams 
• Sales Operations and Contract Management Teams 
• Enterprise Technology and AI/Innovation Teams 
• Information Security and Data Governance Teams 
• Business Leadership Sponsors 

The MBA project team will work closely with UKG stakeholders to gather requirements, validate use cases, and develop strategic recommendations. 

Deliverables 

The project will produce: 

Current-State Assessment 

• Analysis of existing contract repositories, workflows, and challenges. 

Use Case Prioritization Framework 

• Identification and ranking of high-value contract analysis use cases. 

Business Requirements Document 

• Functional, technical, security, and governance requirements. 

Technology Evaluation 

• Assessment of AI, search, and document intelligence solutions. 

Business Case and ROI Analysis 

• Estimated costs, benefits, risks, and expected return on investment. 

Solution Architecture and Roadmap 

• Recommended implementation approach, phased deployment plan, and future-state vision. 

Executive Presentation 

• Final recommendations and strategic roadmap for leadership review. 

Background 

Rocket Pharmaceuticals is a biotechnology company developing pioneering gene therapies for rare, life-threatening diseases, with a core focus on genetic cardiovascular conditions. Rocket Pharmaceuticals is on a mission is to seek gene therapy cures for patients with devastating rare diseases through the most innovative science and platforms to fulfill the promise of gene therapy for the betterment of our industry, science and humanity.   

Majority of cardiomyopathies, a disease of the heart muscle, are genetically driven,  and often fatal for adolescent and young adults. Danon is one such disease, which is a severe, progressive and ultimately fatal genetic disorder that remains severely underdiagnosed, with current diagnosis rates estimated at less than 10% of the true patient population. 

We are particularly interested in advancing approaches to better identify, and characterize,  patients with rare genetic cardiomyopathies—conditions that are often significantly underdiagnosed, with limited natural history data. As gene therapy transitions from scientific breakthrough to clinical reality, we are increasingly encountering challenges at the intersection of data, diagnosis, and disease characterization.  

Project  

The project will involve reimagining and designing a strategy to increase timely diagnosis for genetic cardiomyopathies, where genetic testing, physician awareness, multi-disciplinary referral pathways, and patient identification are critical barriers. The team will develop a roadmap with real-world solutions that can lead to multi-channel execution within the broader ecosystem. Program design will involve multiple external stakeholders such as Healthcare professionals (e.g., Cardiologists, Geneticists, Genetic Counselors), Diagnostic Labs and Healthcare insurance.  

Data and analytics will be an important area of focus, with understanding red flags along the disease trajectory of certain specific genetic cardiomyopathies/ HCM phenocopies such as Danon Diseases, using AI driven approaches and predictive modeling which have been shown to have success in other cardiology areas such as ATTR. An example solution would be to leverage LLMs for mining de-identified health records to flag potential signatures of Danon disease, that could lead to earlier diagnosis.  

In particular, we would like to work with the Penn health system (CHOP and the Perelman School of Medicine),  across these areas, including learning about barriers and enablers of genetic testing, shaping and building solutions and potentially piloting within the system and local geography to test effectiveness and outcomes. 

This is an opportunity to work at the intersection of innovation strategy, healthcare delivery, precision medicine, with implications not only for real-world Danon patients, but for broader genetic cardiomyopathy disease diagnosis models.