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Record W4417143063 · doi:10.1080/15228053.2025.2599734

Industry report: the bilingual CIO — speaking business and technology to drive change

2025· article· en· W4417143063 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Information Technology Case and Application Research · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Education and Engineering Focus
Canadian institutionsNational Bank of CanadaBank of CanadaConcordia University
Fundersnot available
KeywordsBusiness communicationInformation technologyIndustry 4.0

Abstract

fetched live from OpenAlex

This industry report transcribes an interview with Julie Lévesque, Head of Technology and Operations at the National Bank of Canada, conducted by Anne-Marie Croteau during the keynote session at the AMCIS 2025 conference in Montreal, Canada. The conversation explores how technology leadership evolves when IT and Operations function as a single, integrated team. Levesque underscores the significance of combining IT and Operations under one leadership umbrella. This dual role enables tighter alignment of technology and business processes, accelerates digital transformation, and ensures customer needs are addressed holistically rather than in silos. She emphasizes that IT must be viewed as an investment that enhances resilience, fosters customer trust, and drives business growth. To unlock this value, leadership must be bilingual – fluent in both business and technology – and capable of turning IT into a strategic engine.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.868
Threshold uncertainty score0.430

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.408
Teacher spread0.373 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it