Every article in the catalog carrying this tag, newest first.
Bain's read on the savings shortfall: pilots that never reach full automation and processes bolted onto AI instead of redesigned around it. The agent wave is the next bet to close the gap — but only if it removes the human-in-the-loop steps that erode the ROI in the first place.
This is a 2020 Bain webinar registration page tied to the launch of the book 'Doing Agile Right,' covering agile planning, budgeting, and reviewing practices. The page contains no substantive article content—only metadata, HTML scaffolding, and a brief description indicating the webinar series features book authors and Bain experts discussing agile enterprise adoption. No data, frameworks, or findings are presented in the retrievable content. The piece is dated August 2020 and is not materially relevant to current enterprise AI decision-making.
This is a 2019 Bain video brief in which partner Tiziano Rivolta addresses how petroleum refiners can respond to two converging pressures: the shift toward a low-carbon economy and the rise of digital technologies. The piece is a short video summary rather than a substantive research report, and no quantitative findings or strategic frameworks are presented in the available content. The article is sector-specific to oil and gas refining and does not address enterprise AI, finance, data governance, or board-level strategy in any material way. Given the absence of extractable analytical content, the piece has limited applicability to enterprise technology or finance leadership audiences.
This Bain & Company page is a 2021 webinar recording produced in partnership with NielsenIQ on the topic of assortment optimization. The article body contains no substantive written content — only HTML scaffolding, metadata, and a video embed. No findings, frameworks, data points, or actionable insights are surfaced in the retrievable text. The piece is categorized under AI, Insights, and Solutions and Customer Experience, but no analytical content is accessible for summary purposes.
This article is a 2013 Bain & Company brief on the German corporate banking market, specifically examining revenue and profit opportunities in serving the Mittelstand (German mid-market companies). The piece introduces a corporate banking index assessing competitive dynamics among banks competing for this segment. The article is over a decade old and focused on German banking strategy rather than enterprise AI, finance technology, or operational transformation themes. No substantive content was retrievable beyond metadata and page scaffolding.
This is a 2015 Bain video piece (in German) in which partner Henrik Naujoks outlines how banks and insurers can achieve higher customer centricity through focused strategy. The article body contains no substantive text beyond HTML scaffolding, metadata, and page infrastructure — no data, frameworks, or actionable findings are accessible from the provided content. The piece predates enterprise AI by several years and carries no AI-specific or technology-leadership angle. Its topic is customer strategy in financial services at a general advisory level.
This Bain content is a 2016 video asset focused on mobile banking adoption in Germany, noting that approximately 20% of retail bank customer interactions already occurred via mobile at that time. The substantive content of the video itself is not available in the provided HTML, which consists primarily of page metadata, scripts, and consent management code. The piece addresses retail banking digitalization and customer loyalty themes relevant to financial services practitioners. No quantitative findings, strategic frameworks, or enterprise AI content are present.
This Bain & Company and NielsenIQ webinar page covers assortment optimization, addressing how retailers and consumer goods companies can use data and analytics to improve product mix decisions. The article content itself failed to load beyond HTML scaffolding and metadata, yielding no substantive findings, quantitative benchmarks, or strategic frameworks. The page dates to June 2021 and is categorized under AI, Insights, and Solutions and Customer Experience. No actionable enterprise content is recoverable from the available text.
The article body contains no substantive content — it is a Bain webinar landing page (Bain Consumer Products Talks, published April 2024) consisting entirely of HTML metadata, script tags, and page infrastructure with no readable text, findings, or analysis present. No thesis, data, or insights can be extracted from the submitted content. This page cannot be meaningfully summarized for an enterprise AI audience.