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Executive Summary AI is no longer a tooling question for investment firms. It is an operating-model question. The firms that win will redesign work, decisions, controls, and talent fast enough to turn AI from scattered pilots into institutional advantage. Building on Meradia’s Next Generation Operating Model (NGOM), this paper introduces the AI Operating Model (AIOM): the management system that converts
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Why Target Operating Models Fail Before the First Mile
For those who know me outside of work, you know I’m a runner and always training for the next race. In distance running, elite athletes don’t start with race day strategy. They start with an honest assessment of current capability. Pace, endurance, recovery, and risk are measured before the plan is set. Organizations rarely apply
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Less Is No Longer More: FactSet’s Performance Solution Rewrites Historical Performance Data Migrations
Less history, less risk. For more than a decade, Meradia approached investment performance implementations with this mantra. Two key assumptions underpinned the “less is more” philosophy: Assumption 1 – Performance implementations become more difficult with longer histories and more granular data. Assumption 2 – The exponential increase in project risk from migrating longer and more
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The Evolution of Meradia’s Approach to Investment Performance Data Migrations
Less history, less risk. For more than a decade, Meradia approached performance implementations with this mantra. Conventional wisdom says to migrate as little historical performance data as possible, because anything more brings unnecessary complexity without a commensurate payoff. This defensive stance was born from hard-won experience. Too many projects became bogged down by large data
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Meradia’s Playbook for a Successful FactSet Performance Solution Implementation
For many firms, implementing a modern performance platform such as FactSet Performance Solution is about more than replacing legacy tools. It is an opportunity to improve how performance data is produced, reviewed, and delivered across the organization. One of the key reasons for FPS is its fully customizable solution within a single system to meet
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Tokenization Meets Operations: Four Changes That Matter
Introduction Over the past several years, tokenization has moved from a conceptual topic into something firms are actively bringing into production. What once lived mostly in proofs of concept and industry discussion is now starting to operate inside real market infrastructure. At a basic level, tokenization is the process of representing real‑world assets in a
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Bridging Two Worlds: The Modern Analyst’s Role in Investment Operations
Starting out as a consulting analyst in 2025, I can’t help but notice how different my experience is from those who entered the field a generation ago. In the 1990s, entry-level analysts spent their first few months balancing ledgers by hand, keying data into green-screen terminals, and learning the quirks of rigid mainframe systems. They
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What Is Tokenization of Financial Assets and How Is It Shaping the Future of Finance?
Tokenization of Financial Assets: Context Tokenization is a buzzword that is used by many in the industry without a single definition or a deep understanding. At its core, tokenization refers to the process of creating a digital representation of an asset on a blockchain or distributed ledger, where each token represents a claim, share, or
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The Autonomy Trap: How Unchecked Autonomy Fragments Investment Operations
Many firms struggle with fragmented processes, duplicative efforts, and stalled transformation initiatives. What may seem like agility at the team level often creates hidden risks, rising costs, and significant barriers to scale. Enterprise solutions such as Total Portfolio View (TPV), Investment Book of Record (IBOR), and centralized analytics platforms are designed to unify organizations through
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2026 Trends: The Next Generation Operating Model – AI, Data, and Alpha at Scale
In 2026, the competitive gap in asset management will continue to widen between firms that industrialize data and Artificial Intelligence (AI) on cloud-native, interoperable architectures with embedded governance versus firms entrenched in legacy operating models and endlessly piloting on antiquated infrastructure. AI is THE multiplier: it amplifies strengths in clean, governed data, modular platforms, efficient processes, and exposes weaknesses in operating models, including data silos, manual ‘low value’ work, and unclear data ownership.
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