Go Digital Energy Expert Survey

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1. Which segment best describes your primary organisation type?*

Energy Operator / Asset Owner (Oil & Gas, Power, Utilities, Renewables)

Technology Vendor / Software Solution Provider

EPC (Engineering, Procurement & Construction) / Industrial Service Provider

Strategic Management Consulting / System Integrator

Other

(Select one)

2. What is your organisation's primary area of technological focus or digital deployment?*

Artificial Intelligence, Machine Learning & Generative AI

Industrial IoT, Edge Computing & Smart Connected Assets

Enterprise Data Architecture, Analytics & Cloud Platforms

Cybersecurity, OT Protection & Critical Infrastructure Resilience

Digital Twins, 3D Asset Modelling & Spatial Computing

Robotics, Drones & Autonomous Unmanned Operations

Decarbonisation Tracking, Carbon Accounting & ESG Tech

(Select all that apply)

3. What are the main roadblocks you face when integrating new digital technologies with legacy energy infrastructure?*

Select between 1 and 3 choices.

Data silos and lack of standardised data formats across legacy systems

High risk of operational downtime during system cutovers and integration

OT (Operational Technology) and IT security misalignment and compliance friction

Lack of vendor interoperability (vendor lock-in with proprietary ecosystems)

Severe deficit in skilled internal talent to manage and maintain advanced integrations

Inflexible regulatory/safety frameworks that slow down cloud or remote deployments

4. What is the single biggest barrier your organisation encounters when trying to scale a digital pilot program into full commercial deployment across multiple assets?*

Inability to prove long-term ROI/business case beyond the initial pilot site

Cultural resistance from asset managers and front-line operational teams

Lack of standardised, scalable cloud/edge infrastructure across different geographic sites

Budget constraints and shift in corporate funding priorities mid-cycle

Data governance and quality degradation when scaling up data volumes

(Select the primary barrier)

5. Which Industrial AI use cases do you believe will yield the highest measurable financial or operational value for energy companies over the next 18–24 months?*

Select between 1 and 3 choices.

Agentic AI (Autonomous AI agents capable of executing multi-step workflows like supply chain execution or dynamic asset dispatch)

Generative AI for Knowledge Management (Querying technical manuals, design archives, and drilling/seismic logs for engineers)

AI-driven Process Optimisation (Real-time tuning of closed-loop controls, refining processes, or chemical dosing)

Next-Gen Predictive Maintenance (Combining deep learning with physics-based models to eliminate unplanned downtime)

Computer Vision & Generative AI for HSE (Health, Safety, and Environment risk detection and incident compliance)

6. Beyond AI, which emerging technology vector will have the most disruptive impact on the energy sector’s efficiency by 2030?*

Autonomous Mobile Robots (AMRs) & Drones (For uncrewed asset inspection and maintenance)

Connected Worker Technologies (AR/VR overlays, smart wearables, and mobile field execution tools)

High-Fidelity Digital Twins integrated with real-time carbon tracking

Edge Computing & Next-Gen Smart Sensors (Processing complex data directly on remote assets)

Quantum Computing (For molecular modelling in new materials/hydrogen, or hyper-complex grid optimisations)

Please select one.

Other (please specify below):

7. To achieve true digital transformation, where should energy companies focus their capital and personnel investments over the next 3 years?*

Select between 1 and 2 choices.

Upskilling the existing workforce & fostering data-driven corporate culture

Overhauling legacy core data architectures (moving to a unified namespace, data mesh, or hybrid cloud)

Directly embedding sustainability and scope 1/2/3 emission tracking into core operations

Hardening cybersecurity frameworks across operational technology (OT) and critical infrastructure

Co-developing tailored solutions with ecosystem partners rather than buying off-the-shelf software

8. What specific type of case study would be most valuable for you to see presented on stage at Go Digital Energy 2027?*

“Lessons from Failure”: Honest post-mortems of digital projects that failed to scale and how they pivoted

“Deep-Dive Technical Architecture”: Granular walkthroughs of actual data pipelines, models, and systems used

“Hard ROI Metrics”: Commercial case studies detailing exact cost reductions, production gains, or carbon savings

“Cross-Industry Blueprint”: High-level strategic approaches detailing how global operators structured their digital business transformation

(Select one)

9. Please share an innovative project, technology application, or specific company case study that you believe deserves to be showcased in the 2027 agenda:

Score each theme from 1 [Low Interest] to 5 [High Interest]

A. Autonomous Operations*

Please enter a number from 1 to 5.

Transitioning from remote monitoring to truly uncrewed, self-optimising oilfields & plants.

B. Cybersecurity at the Intelligent Edge:*

Please enter a number from 1 to 5.

Securing thousands of AI-enabled nodes and IoT devices against sophisticated OT threats.

C. Digitalisation of New Energy Value Chains:*

Please enter a number from 1 to 5.

Scaling software frameworks for Hydrogen, Carbon Capture (CCUS), and grid-scale storage.

11. Are there any critical topics, specific industry speakers, or under-discussed challenges that you feel are missing from current energy summit programs?

12. What is your primary commercial or networking objective for attending Go Digital Energy 2027?*

Select between 1 and 2 choices.

Sourcing validated technology solutions and finding new vendors for active RFP cycles

Benchmarking our digital roadmap against peer operators to see where we lag or lead

Forming strategic co-development ecosystems or finding investment opportunities

Meeting potential clients, presenting our solutions, and driving the enterprise sales pipeline

Acquiring macro-level industry intelligence to refine our corporate strategic planning

How do you plan to engage at Go Digital Energy 2027?*

Speak: I would like to share insights on stage by presenting a case study or leading a roundtable.

Partner: I am interested in commercial opportunities such as sponsorship, exhibiting, or hosting a workshop.

Attend: I would like a standard delegate pass to attend sessions and network.

Remind Me: I am still deciding, but please keep me on the mailing list for updates.

Decline: I am unable to participate this year.

Please select one

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