Every article in the catalog carrying this tag, newest first.
This Bain interactive piece tests consumer ability to identify lower-carbon products across common paired choices such as cheese vs. milk and plastic vs. glass bottles. The central finding is that many consumers systematically misjudge r…
Most enterprise data platforms were architected for business intelligence and reporting, leaving them structurally unfit for machine learning and generative AI workloads. Bain argues that a modern data platform must unify storage, comput…
Bain's interactive diagnostic tool helps companies self-assess their generational AI scaling maturity, segmenting organizations into archetypes based on their progress from exploration to value creation. The central finding is that while…
Agentic AI represents the next evolution beyond generative AI: systems that plan, execute, and adapt across multi-step enterprise workflows autonomously rather than responding to single prompts. Unlike conventional AI tools that require …
Bain defines the AI-native enterprise as an organization that rebuilds workflows, data architecture, and agent systems to change how it competes—not merely how it executes. The model centers on a proprietary intelligence flywheel: unique…
Bain's global head of talent acquisition, Ron Kermisch, discusses how AI is reshaping consultant hiring practices at Bain. The podcast explores the specific types of talent Bain now prioritizes as AI changes the nature of consulting work…
AI governance is the single most common reason AI transformations stall, according to Bain. The piece argues that enterprises need two distinct governance motions: one for running the business (risk, resource allocation, performance trac…
Bain Americas Regional Managing Partner Tamar Dor-Ner argues that AI represents a fundamentally different inflection point from prior technology shifts, reshaping how consulting work is structured and delivered. The core thesis is that A…
Bain's central finding is that AI investment returns stall when companies treat AI as a tool layered onto existing processes rather than a catalyst for redesigning how work gets done. Nearly 40% of companies that measured AI cost savings…
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 scaffoldi…
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 v…
U.S. utilities face a $560 billion funding gap to modernize an aging electrical grid while simultaneously meeting surging power demand from AI data centers, electrification, and industrial reshoring. The grid's average infrastructure age…
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 …
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 bankin…
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 scaffo…
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 itse…
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 b…
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, f…
Technology operating models are undergoing structural reorganization as companies move from AI experimentation to scaling for real business value. Bain's analysis finds that the organizational changes required to capture AI value are now…
Strategic workforce planning (SWP) is a structured process for translating long-term business strategy into specific talent and capability requirements, typically looking six years ahead rather than the one-year horizon of operational he…
Pharma companies cannot afford to keep AI confined to pilots; the industry's innovation bottleneck requires scaling cross-functional, human-centric AI systems across clinical development. Bain argues that emerging leaders are differentia…
Responsible AI (RAI) is a framework for developing, deploying, and overseeing AI systems in ways that are ethical, transparent, safe, and aligned with legal and societal expectations. It applies across traditional machine learning, gener…
This Bain explainer defines artificial intelligence and its core subsets — machine learning, deep learning, generative AI, and agentic AI — positioning AI as a system that turns data into intelligence to drive automation, insight generat…
Generative AI is positioned to fundamentally reshape the HR function by automating high-volume transactional work while enabling more personalized employee experiences at lower cost. Bain argues that GenAI applied across recruiting, onbo…
Bain's RAPID® framework assigns five distinct decision-making roles—Recommend, Agree, Perform, Input, and Decide—to eliminate ambiguity over who owns a decision and who must be consulted. The core thesis is that clearly delineated roles …