Exponential IT Research Center

Info-Tech’s strategic and actionable principles to enable IT leaders to extract the value from accelerating technology advancements

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An overview of Exponential IT predictions, insights, and recommendations.

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For more than 40 years, information technology has radically transformed organizations, from the computerization of operations to the digital transformation of service models. As technological disruption accelerates exponentially, a world of exponential opportunity is within reach.

Autonomization is ushering in the next transformation. IT leaders can gain prominence by leaning into the curve, and adopting Exponential IT principles, or risk seeing their services commoditized and their role diminished.

Exponential IT Thought Model. Info-Tech's strategic and actionable principles to enable IT leaders to extract the value from accelerating technology advancements

As technology becomes exponential, so must IT

Adopt an Exponential IT Framework

Today's and future generative AI capabilities have led to the next sea change for IT leaders. Exponential IT is Info-Tech's answer for IT leaders on how to adapt rather than fall behind. Our proprietary framework defines the aspirations and tactics needed for all areas of a modern IT department.

IT NEEDS TO TAKE CHARGE

Exponential IT Keynote Presentation

As technology advances exponentially, so must your entire organization led by IT. Our keynote presentation makes a compelling case for Exponential IT with a clear vision for the future across nine IT domains.

Exponential IT beckons, but succeeding in this new world requires bold steps.

IT leaders will have to lead the charge through the inherent uncertainties and opportunities. They will have to develop and prioritize new practices, leveraging exponential technologies to create business value and results, both for IT and for their organization.

Exponential IT therefore has implications across the many capabilities of our IT Management and Governance model. Info-Tech offers an integrated set of principles across nine domains to help IT leaders change the trajectory of their organizations.

Strategy, Risk & Governance

Capitalize on the Commoditization of IT

  1. Stop being pulled, start pushing – Co-own organizational outcomes
  2. Own your seat at the table – Lead new technology governance
  3. Do more valuable work – Transform Infrastructure and Applications into utilities

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Financial & Vendor Management

Shift From Technology to Capabilities

  1. Stop experimenting, start delivering – Fund exponential value creation
  2. Add cats to the herd – Boost vendor management practices
  3. Demonstrate your value – Build outcome measurement

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People & Leadership

Lead Transformation to a Technology-First Enterprise

  1. Stop empire-building – Embrace federated and hybrid operating models
  2. Shatter the org chart – Reinvent the resource strategy
  3. Train, Invest, and Nurture – Let the workforce be with you

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Service Planning & Architecture

Deliver Organizational Capabilities

  1. Fasten your seatbelts – Shift from service to outcome delivery
  2. Stop siloed applications – Create integrated enterprise services
  3. Get into the weeds – Architect business capabilities

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Infrastructure & Operations

Focus on Value Over Assets

  1. Give up control – Let AI take over core operations
  2. Become a banker – Implement FinOps
  3. Lean into autonomous provisioning – Abstract away the underlying infrastructure

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Security & Privacy

Shift From Reactive to Predictive

  1. Assume they are more sophisticated than you – Defend against AI-enabled attacks
  2. Go back to the drawing board – Mitigate rampant privacy risks
  3. Overcome your hesitation – Enable autonomous decision making

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Applications

Move From Applications to Organizational Capabilities

  1. Deliver continuously (finally) – Use AI and ML to drive automation
  2. Ban one-offs – Double down on platforms
  3. Don’t be just a partner – Create true co-owners

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Data & Analytics

Make Data Capabilities a Differentiator

  1. Go beyond analytics – Treat data as a product
  2. Use data as the lifeblood – Augment your data for more value
  3. Default to AI – Team up DataOps with MLOps

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Project & Portfolio Management

Automate & Focus on High-Value Activities

  1. Solve problems, not calendars – Automate traditional PMO capabilities
  2. Plan in real time – Let AI run ongoing resource allocation
  3. Trust, but verify – Enable true accountability

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