職場におけるAI活用に関する意識調査2024
この1年で従業員は生成AIの効果への信頼を深めつつあります。しかし同時に、仕事を失うことへの恐れも増しているようです。企業は慎重な検討と戦略的な行動をとることで、働き手の相反する見方に対処できるようになります。
AIで競争優位性を構築するには、価値を創出できるよう意思決定とオペレーションを再編成し、人間の組織能力に投資して浸透させる必要があります。どうしたらAIを組織に拡大展開できるかを考えるうえでBCGのAIに関する最近の論考などがお役に立てば幸いです。
この1年で従業員は生成AIの効果への信頼を深めつつあります。しかし同時に、仕事を失うことへの恐れも増しているようです。企業は慎重な検討と戦略的な行動をとることで、働き手の相反する見方に対処できるようになります。
1,400人以上の経営層を対象としたBCGの調査で、生成AIが急速にビジネスのあり方を変えつつあることが明らかになりました。企業はどのようにして、生成AIの可能性を利益に変えているのでしょうか。
先を見通すのが難しいこの時代、変化を察知しそれを踏まえて自社の能力を最大限に発揮させる力はますます重要になっています。本書は、2024年を迎えるにあたり注目すべき4つの重要なトレンドと、時代の変化に対応するために欠かせない4つの経営能力について、企業が考えるべきことを提示します。
生成AIは、CEOにこれまでにない難問を突きつけています。まず取り組むべきは、生成AIが自社や業界に与える影響を理解することです。本稿では、生成AIがもたらす好機を捉えつつ、課題をかじ取りするための戦略の立て方をご紹介します。
Generative AI can bring a host of ideas—and a critical “outside the box” perspective—to teams working through the innovation cycle.
GenAI will impact roughly 90% of tech jobs and reduce costs by approximately 10%. Starting with tech functions, companies will need to mobilize talent in response.
Generative AI has vast potential, yet only about 10% of companies apply it at scale. We explain how those leaders succeed—and how other companies can catch up.
How can business leaders gain a competitive edge while building for the future? In this video series, BCG experts explore GenAI's potential across industries and functions.
Heineken’s data and AI makeover has led to transformative growth. Partnering with BCG, the company developed cutting-edge promotion methodologies and AI-powered solutions. Heineken’s Ronald den Elzen shares his insights on the company’s wide-ranging AI strategy.
What a survey of 150,000 people in 188 countries tells us about seeking and keeping work in the face of technological disruption.
A global survey finds that business leaders expect AI—both predictive and generative—to be a game changer in helping companies address critical consumer intelligence issues.
As GenAI drives the marginal cost of marketing content to near zero, the resulting speed, flexibility, and cost efficiency will transform how creative teams work.
Kaushal Kurapati, SVP of product management, generative AI, and search at Salesforce, and BCG’s Vikas Taneja discuss how GenAI is transforming work and what it will mean for business growth.
Dai Vu, BCG alumnus and current managing director, Cloud Marketplace at Google Cloud, says that customers are moving from experimentation to adoption of GenAI in customer service, marketing and content creation, and software development.
AI will require significant investment in data center and power generation capacity. Carlyle’s Pooja Goyal discusses the energy mix needed to meet these demands.
For business leaders, one of the biggest obstacles to scaling traditional AI and GenAI is changing people’s ways of working, explains Mary Martin, a managing director and partner at BCG with expertise in restaurants.
The opportunities presented by generative AI are significant, but leaders need to focus equally on the risks. What is a responsible C-suite member supposed to do?
AI is often described as a “black box,” but the regulations, frameworks, and guidelines surrounding it can seem just as mystifying. A new report provides clarity.
BCG’s third annual survey shows that companies are improving their responsible AI—but not fast enough.
New technologies such as AI will enhance learning competitiveness—but only if they are embedded in well-designed, holistically conceived learning systems.
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Serverless services are gaining momentum and may revolutionize how the industry develops next-gen IT architectures, but customers must often cope with inconsistent pricing across regions.
GenAI investment is expected to grow 30% in 2024, with ROI over the next three years likely three-times higher than companies making little such investment.
Companies should not delay their cookie-less future preparation. Moving to first-party data can provide companies with better information and richer customer relationships, as leaders demonstrate.
Recent technology developments, most notably rapid AI advances, are accelerating the convergence of IT and OT, unlocking troves of industrial data to improve productivity, quality, and availability.