Audit: Technology Vision

D11 audit of the verdicts two blind graders agreed on (kappa 1.00). An independent auditor agent checks each cited source and applies the rule again (D20). It confirms the verdict, corrects it, or marks it contested.

Publications Audit

3 / 3

claims audited

error rate so far (0 corrected, 0 contested)

Sample: 3 of 3 agreed claims. By agreed verdict: miss 1, partial 1, hit 1. Misses are weighted 1.5x.

3 of 3, seed d11:accenture-tech-vision:d16, reproduces from the agreed claims (check passed).

1accenture-tech-vision-2017-015agreedmiss
Grader A
No such displacement held in 2022. The 2022 Fortune Global 500 top 10 is mostly industrial-era firms (Walmart, State Grid, CNPC, Sinopec, Saudi Aramco, Volkswagen, China State Construction, CVS); only Amazon and Apple are digital. The one notable change in stated corporate purpose (Business Roundtable 2019) moved toward stakeholder capitalism, not toward marketplaces, and kept the corporation as the unit. Platforms grew alongside corporations rather than replacing them. Claim is rhetorical; a literal reading is clearly not met, and no measure shows replacement.
Test: D30 state of affairs 'by 2022': hit if by end 2022 the largest businesses were predominantly platform/marketplace ecosystems rather than traditional hierarchical corporations; partial if in part, or in full in 2023.
- Fortune Global 500 (Wikipedia): 2022 top 10 by revenue: Walmart, Amazon, State Grid, CNPC, Sinopec, Saudi Aramco, Apple, Volkswagen, China State Construction, CVS Health; 8 of 10 traditional industrial/retail firms.

Grader B

The text says 'will be replaced' (strong, dominant reading). In 2022 the largest firms by revenue were still mostly traditional industrial-era corporations (Walmart, State Grid, CNPC, Sinopec, Saudi Aramco, Volkswagen, CSCEC, CVS); only Amazon is a digital marketplace in the top 10. Digital platforms grew but did not displace the corporate form or its purpose. No reading of comparable faithfulness supports a hit; a weak 'partly displaced' reading would at most give partial, but it is not the text's wording.

Test: D30 state of affairs: by 2022 the largest economic actors are predominantly platform/marketplace organisations rather than traditional industrial-era corporations.

Fortune Global 500 (Wikipedia): 2022 top 10 by revenue: Walmart, Amazon, State Grid, CNPC, Sinopec, Saudi Aramco, Apple, Volkswagen, China State Construction, CVS Health; 9 of 10 are not marketplace platforms.

2accenture-tech-vision-2017-018agreedpartial

Grader A

Cogito's real-time call-centre software was deployed at MetLife and Humana (rolled out to 36+ US call centres by mid-2019). It detects when the agent sounds tired, irritated or rushed and pushes automated cues ('slow down', 'think about how the customer is feeling'). So detection of worker emotional state with automated guidance existed at multinationals by 2019. What is not documented is the specific stated feature: the system altering the tone and style of its own feedback according to the worker's frustration; its cues target the agent's tone toward the customer. Stated event happened in part.

Test: D30 event 'by 2022': hit if by end 2022 multinationals had deployed tools that detect worker frustration and adapt the tone/style of their automated guidance; partial if detection plus automated guidance was deployed but adaptation of the guidance's own tone is not shown.

Cogito AI Software Coaches Customer Service Workers (TIME): Humana and MetLife use Cogito in 36+ call centres; it detects agents sounding bored, tired, irritated or rushed and shows guidance notifications; no statement that the guidance tone adapts to the agent's state.
Artificial Intelligence at MetLife - Three Use Cases (Emerj): MetLife deployed Cogito to analyse emotions in calls in real time and suggest agents alter their tone; framed as helping agents with emotional fatigue.

Grader B

Emotion-AI coaching for employees was deployed at multinationals by 2018-2019 (Cogito at MetLife, Warwick RI call center): it reads voice signals in real time and nudges agents (e.g. coffee-cup cue for the agent's low energy). But the documented systems mainly read the customer's emotion and the agent's energy, and give fixed cues; I found no documented multinational deployment that detects the worker's frustration and automatically alters the tone/style of the guidance itself. Part of the stated event happened within the window.

Test: D30 event: a documented deployment by a multinational of employee-facing tech that detects the worker's own frustration and adapts feedback tone, by 2022.

Feeling emotional? The machines know (Boston Globe): MetLife began using Cogito in its Warwick, RI call center in 2018; it reads vocal tension, pitch and pace and gives agents visual cues (coffee cup for low energy, heart for caller's emotional state); supervisors see tallies.
Artificial Intelligence at MetLife - Three Use Cases (Emerj): Cogito analyzes emotions in calls and suggests agents alter their tone toward the customer; framed as customer-emotion analysis, not adaptation of feedback to the worker's frustration.
Emotion Detection with AI (search result, where looked): Generic vendor claims that emotion AI detects overwhelmed agents and recommends breaks; no named multinational deployment adapting feedback tone to worker frustration found.

AuditorconfirmTIME 2019: Cogito at MetLife (10 call centres) and Humana detects agents sounding tired/irritated and pushes fixed coaching cues; Boston Globe 2019 confirms cues. No source shows guidance tone adapting to worker frustration -> partial. Grader A overstates (36+ centres; Emerj does not frame it as agent fatigue), verdict unaffected.

3accenture-tech-vision-2017-021agreedhit

Grader A

By 2020 several such ecosystems operated. DeFi on Ethereum, where every interaction is a smart-contract call, held about $9bn in collateral by September 2020. Enterprise networks ran on smart contracts too: TradeLens (IBM/Maersk, carriers, ports, customs) used smart-contract workflows, and we.trade (12 shareholder banks, live, extending to more banks from July 2020) used DLT smart contracts to automate SME trade-finance payments. Participation in these networks meant using their smart contracts.

Test: D30 state of affairs 'by 2020': hit if by end 2020 at least one functioning multi-party ecosystem existed where participation required transacting via smart contracts.

Decentralized finance (Wikipedia): DeFi protocols are built on smart contracts; Bloomberg reported DeFi collateral of $9bn in September 2020.
we.trade Digital Trade Finance Network strengthens collaboration with IBM (IBM newsroom): we.trade, backed by 12 banks, runs on DLT and smart contracts that automate payments on pre-defined events; expanding to more banks from July 2020.
Maersk and IBM Introduce TradeLens Blockchain Global Shipping Solution (Supply Chain 24/7): TradeLens uses blockchain smart-contract workflows connecting carriers, ports, customs and other ecosystem participants.

Grader B

Both enterprise and public-chain readings are met. we.trade (12 European banks incl. HSBC, Deutsche Bank, Santander, UniCredit; IBM, Hyperledger Fabric) went live in 2018 as a trade finance platform whose trades execute via smart contracts. Ethereum DeFi, where all transactions are mediated by smart contracts, reached about $9B collateral by September 2020.

Test: D30 state of affairs: at least one ecosystem (multi-party platform) live by 2020 whose participants must transact through smart contracts.

CaixaBank implements we.trade blockchain platform (Finextra): we.trade bank consortium platform in production, built on Hyperledger Fabric with smart contracts linking buyer, seller, their banks and transporter, auto-payment when conditions are met.
Helping companies trade seamlessly (IBM case study, we.trade): we.trade launched 2018 by a consortium of 12 banks; trade process executed on the platform's smart contracts.
Decentralized finance (Wikipedia): DeFi transactions are mediated by smart contract programs; Bloomberg reported DeFi collateral of $9B in September 2020.

AuditorconfirmIBM case study: we.trade fully operational Jan 2019, multi-bank network whose payments run on smart contracts; Wikipedia DeFi: $9bn collateral Sep 2020. Ecosystems requiring smart contracts existed by 2020 -> hit. IBM newsroom URL cited by A now 404.