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Tarek Chouman
Global Head of Aladdin Client Business 

 

 

Investment management is entering a new chapter: one defined by the ability to turn an ever-growing universe of information into actionable intelligence. That capability is needed at speed, at scale, and within trusted guardrails.

 

Investment management leaders have always had to connect multiple dimensions of the enterprise: systems, data, workflows, risk, and client outcomes. For CTOs, CIOs, COOs, heads of business transformation, and portfolio management leaders, that shared mandate is becoming more complex as portfolios expand across public and private markets, digital assets and tokenization begin to reshape market structure, and artificial intelligence moves from experimentation into investment workflows. Switching between an expanding array of platforms, programs, and data sets takes time and energy. It can slow organizations down at precisely the moment when speed, clarity, and confidence matter most.

 

Private markets continue to grow, with Preqin® forecasting private equity AUM will more than double to $12 trillion by 2029. Digital infrastructure for AI and widening access to private credit are among the themes driving private markets growth. But this trajectory has outpaced the data and technology infrastructure required to support these assets.

 

Historically, the industry has managed complexity by adding technology. Now the challenge is different. Information is not the scarce resource; connection is. Firms need a shared intelligence foundation across the whole portfolio: one that links exposures, risk, liquidity, performance, operations, and governance across asset classes and workflows.

 

AI makes this need more urgent. The firms that lead will not be those that simply apply intelligence to fragmented foundations. They will likely be those that build on governed data, clear lineage, explainable outputs, and human oversight. For senior leaders across technology, operations, transformation, and investments, the strategic task is to create a technology foundation that allows the whole organization to understand the whole portfolio consistently, securely, and intelligently. That means connecting data and workflows across asset classes, embedding AI within trusted guardrails, and giving investment teams clearer signals for risk, opportunity, and action.

 

Historically, the industry has managed complexity by adding technology.

72%

of organizations rely on eight or more platforms to manage investment and fund lifecycle activities.

Source: AI Adoption Report 2026

  

At Aladdin, this is where we are focused: helping clients turn complexity into connected intelligence. We are bringing together data, technology, workflows, and institutional-grade governance so that technology leaders do not have to integrate every dashboard, reconcile every data source, or connect every operational domain on their own. We are building the connective tissue across public and private markets, across investment and operating workflows, and across the full lifecycle of decision-making.

 

The Intelligence of Investing is an operational playbook for this transformation: a blueprint for moving from fragmented information systems toward trusted intelligence systems, where data, workflows, AI, governance, and human judgment operate from a shared foundation. Across themes including private markets, data, AI, and tokenization, this white paper is designed to give leaders shaping their firms’ future investment operating model practical guidance for the changes reshaping our industry.

 

Going forward, advantage will come from turning complexity into clarity, information into intelligence, and intelligence into action.