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David Pidsley

Senior Director of Research, Analytics & AI at Gartner

London, England, United Kingdom

David Pidsley is a British decision intelligence advisor bridging technology and business using AI. He joined Gartner in 2020 and has 19 years experience advising on business technology transformations. Before that, he was Chief Technology Officer (CTO) for Analytics at system integrator DXC Technology, having previously held three Head of Data, Analytics and BI roles and was founder of content intelligence company Cause Analytics, and earlier headed marketing strategy for UNIT4.

Business technology is a path to a more agile, innovative and productive future. The teams I’ve been asked to advise have pioneered profitable projects by bridging the gap between Business: clients, teams, shareholders, and Technology: products, computing and cognition. In over nineteen years advising businesses from startup to market impact, I’ve learnt we succeed by being the bridge.

Available For:
Travels From: London, UK
Speaking Topics: Decision Intelligence, Analytics, Business Intelligence

David Pidsley Points
Academic 0
Author 85
Influencer 102
Speaker 0
Entrepreneur 0
Total 187

Points based upon Thinkers360 patent-pending algorithm.

Thought Leader Profile

Portfolio Mix

Company Information

Company Type: Enterprise
Business Unit: Analytics & AI
Theatre: London, UK
Minimum Project Size: $25,000+
Average Hourly Rate: $300+
Number of Employees: 10,001-50,000
Company Founded Date: 1979

Areas of Expertise

Agile
AI 30.50
Analytics 33.32
AR/VR
Big Data
Business Strategy
Change Management
Cloud
Coaching
Design Thinking
Digital Disruption
Digital Transformation
Emerging Technology 30.14
Entrepreneurship
Generative AI 31.12
Innovation
IT Leadership
IT Strategy
Leadership
Lean Startup
Management
Marketing 30.01
Mergers and Acquisitions
Open Innovation
Open Source
Predictive Analytics
Product Management
Startups

Industry Experience

Aerospace & Defense
Financial Services & Banking
Healthcare
Higher Education & Research
Media
Other
Professional Services
Retail
Travel & Transportation

Publications

8 Analyst Advisorys
Quick Answer: Why Are Analytics Becoming Invisible for Users?
Gartner
August 01, 2024
In an important but often overlooked result of prescriptive analytics, users experience the output as a recommendation within a business application or process, while the analytics themselves are invisible. Data and analytics leaders should prepare for data visualizations becoming less important.

See publication

Tags: Analytics

Market Guide for Decision Intelligence Platforms
Gartner
July 18, 2024
Decision intelligence platforms combine explicit decision modeling, AI, analytics and related capabilities to support, augment or automate decision making, driving business outcomes. Data and analytics leaders can use this guide for investing in DIPs to make their organization more decision-centric.

See publication

Tags: Analytics

Quick Answer: What Is Microsoft Fabric?
Gartner
July 13, 2024
Microsoft Fabric is a unified data and analytics platform that will impact both current and future client deployments on the Azure public cloud infrastructure and platform services. This research provides data and analytics technical professionals with clarity on the Microsoft Fabric offering.

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Tags: Analytics

Emerging Tech: Analytics Invisibility Threatens to Disrupt Analytics and BI Platform Market
Gartner
July 01, 2024
As more decisions become automated or augmented, a proportion of analytics will fade into the background, reducing the emphasis on visual analytics and threatening the focus of ABI platforms. Product managers need to prepare for this inevitability by embracing AI to connect decisions to actions.

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Tags: Analytics

Critical Capabilities for Analytics and Business Intelligence Platforms, 2024
Gartner
June 28, 2024
Data and analytics leaders should provide optimal analytics experience to multiple personas for collaborative decision making. This research will help guide their choices of vendor solutions in the analytics and business intelligence space.

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Tags: Analytics

Improve AI Literacy and Skills by Running an AI Hackathon
Gartner
June 27, 2024
Executive leaders in global companies struggle to raise AI literacy in their organizations, limiting their ability to identify use cases and build meaningful applications. This research explains how to use AI hackathons to fast-track an organization’s AI literacy and increase its skills.

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Tags: AI, Analytics

Hype Cycle for Analytics and Business Intelligence, 2024
Gartner
June 27, 2024
This Hype Cycle will help data and analytics leaders evaluate the maturity of a wide range of analytics and BI innovations. Key trends include the further improvement of augmented capabilities driven by generative AI, and the need to navigate new levels of technological and process complexity.

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Tags: Analytics

Magic Quadrant for Analytics and Business Intelligence Platforms, 2024
Gartner
June 20, 2024
Data and analytics leaders use ABI platforms to support the needs of IT, analysts, consumers and data scientists. While integration with cloud ecosystems and business applications is a crucial selection requirement, buyers also need platforms to support governance, interoperability and AI.

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Tags: Analytics, Ecosystems

3 Analyst Reports
Where is NLQ today, even after the "GenAI tech revolution"?
Gartner
August 30, 2024
Today, these NaturalLanguageQuery (hashtag#NLQ) capabilities are critical for buyers and vendors on our Magic Quadrant for Analytics and Business Intelligence Platforms. NLQ allows users to ask data questions using typed or spoken terms.

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Tags: AI, Analytics

Modular Design and GenAI Drive Composable Analytics Applications
Gartner
August 12, 2024
Open and modular analytics architecture makes it easier to build analytics capabilities into applications. Data and analytics leaders should adopt the concept of composable analytics along with generative AI to bridge the gap between insights and actions.

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Tags: Analytics, Generative AI

Predicts 2024: How Artificial Intelligence Will Impact Analytics Users
Gartner
January 04, 2024
I recently authored Gartner’s prediction that by 2025, 40% of Analytics and Business Intelligence platform users will have circumvented governance processes by sharing analytic content created from spreadsheets loaded to a generative AI-enabled chatbot.

See publication

Tags: AI, Generative AI

15 Author Newsletters
Must-Read Books on Decision Intelligence
Linkedln
July 04, 2025
Decision intelligence (DI) is a practical discipline that advances decision making by explicitly understanding and engineering how decisions are made, and how outcomes are evaluated, managed and improved via feedback.

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Tags: AI, Analytics, Generative AI

Bridge AI and Business Outcomes With Decision Intelligence Trends
Linkedln
May 15, 2025
Decision intelligence (DI) is a practical discipline that advances decision-making by explicitly understanding and engineering how decisions are made and how outcomes are evaluated, managed and improved via feedback. Source: Gartner IT Glossary.

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Tags: AI, Analytics, Generative AI

Why Decision Intelligence Matters
Linkedln
April 18, 2025
Decision intelligence (DI) is an emerging practices serving as the critical link between AI systems and meaningful business outcomes, with one-third of organizations already implementing DI and another third planning pilots within a year.

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Tags: AI, Analytics, Generative AI

Agentic Analytics To Apply AI Agents For Data Analysis
Linkedln
February 24, 2025
The integration of AI-powered systems* recognized as a top trend for 2024, is transforming the Analytics and Business Intelligence (ABI) platform market. AI-powered systems are digital or technology products (such as software, platforms and computing systems) that use AI components to offer new or improved capabilities.

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Tags: AI, Analytics, Generative AI

Decision Intelligence for Chinese Organizations
Linkedln
February 18, 2025
Over the past 40 years, China has undergone unprecedented development in its societal and economic landscape. As its economy develops, businesses need to cope with increasing complexities and obstacles surrounding decision making under the fast-changing environment.

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Tags: AI, Analytics, Generative AI

Gartner To Publish New Magic Quadrant for Decision Intelligence Platforms
Linkedln
February 14, 2025
“Despite its young age, the Decision Intelligence Platforms market is already reaching a level of maturity that requires a Gartner Magic Quadrant. Organizations that have adopted this approach are getting significant benefits, it is time that others have the chance to join in that success and bring order to their AI implementations.”

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Tags: AI, Analytics, Generative AI

Champion Decision Subsidiarity for Business-Delegated AI Models
Linkedln
December 03, 2024
Decision subsidiarity refers to the principle of decentralizing decision-making authority to the most appropriate, localized, or knowledgeable level within an organization.

This puts the emphasis on empowering business users. They are subject matter experts, of their goals, processes and their decisions.

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Tags: AI, Analytics, Generative AI

Gartner Decision Intelligence Survey: Participate For First Look At Results
Linkedln
October 23, 2024
Your expertise is crucial to understanding how data, analytics and AI are shaping decisions in organizations like yours.

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Tags: AI, Analytics, Generative AI

The Gartner Human-AI Delegation Framework
Linkedln
September 20, 2024
I’m pleased to share our latest research (client login required) on decision augmentation, led by my mentor Gareth Herschel. Gareth is Gartner’s Data and Analytics Summit opening keynote speaker and lead, Vice President of Research, focused on customer analytics and has 29 years experience as a Gartner analyst.

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Tags: AI, Analytics, Generative AI

Betting on the Wrong Horse? Buy vs Build: DSML vs. DI Platform
Linkedln
August 26, 2024
As a Gartner analyst helping clients with Analytics & AI, I've often been asked to help evaluate the strategic implications of building vs. buying Decision Intelligence Platforms (DIPs) and Data Science and Machine Learning (DSML) platforms.

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Tags: AI, Analytics, Emerging Technology

Open, Modular and Composable Analytics Will Scale a Decision Advantage For Less
Linkedln
August 16, 2024
Organizations under increasing pressure to deliver flexible, cost-effective analytics must continually adapt to evolving stakeholder needs as Generative AI amplifies user expectations and governance remains an evergreen challenge. Decision leaders distributed across departments need to build their organization’s decision advantage without exceeding budgets, so they are adopting open, modular, and composable analytics architectures.

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Tags: Analytics, Emerging Technology, Marketing

Debate: Are Analytics Becoming Invisible?
LinkedIn
August 02, 2024
My Gartner colleague, Kevin, and I explore the rise of the concept of "invisible analytics" and its potential impact on how decision intelligence practices are being adopted in organizations.

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Tags: AI, Analytics

Gartner Says AI Ready For Decision Intelligence Market
LinkedIn
July 19, 2024
While I sit here locked out of my laptop due to a global IT outage, it has given me a few hours to gather some thoughts on today's newest research from Gartner in the practice of data and analytics and AI.

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Tags: AI, Analytics

How Decision Science Combines Behavioral and Data Literacy For Wellbeing
LinkedIn
May 03, 2024
April marked Financial Literacy Month, while May is Mental Health Awareness Month. This timely coincidence presents an opportunity to explore how businesses, especially in the banking industry, can leverage decision science to promote both financial and mental resilience for their customers, while boosting engagement and loyalty. Leveraging decision science effectively requires not only advanced analytics but also a strong foundation of data literacy across the organization.

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Tags: AI, Analytics

Empowering Execution Excellence: Navigating the Future with Decision Intelligence
Linkedln
April 05, 2024
DI takes a holistic approach to decision-making, combining data, analytics, technology, and human judgment. It means making informed decisions based on data while considering the broader implications on stakeholders and outcomes.

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Tags: AI, Analytics, Emerging Technology

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