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。
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。
企業がAI技術をビジネスへと大規模に展開していくには、もはや「責任あるAI(レスポンシブルAI)」の原則を遵守するだけでは十分ではありません。必要なのは、AIを活用した事業が社会に受け入れられること、すなわち「AIのソーシャルライセンス(社会的営業免許)」の獲得です。
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.
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.
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.
Retailers are increasingly using AI-powered solutions and dynamic pricing models to outperform rivals that rely on traditional tools and approaches.
For many companies, data governance is already a pain point, the work too manual and tedious. Generative AI increases the burden but, smartly applied, can reduce it instead.
Compared to other technologies, people interact with generative AI in new ways. We outline a design framework and testing methodology to help optimize the user experience.
Leonid Zhukov, leader of BCG’s Global AI Institute, and Sylvain Duranton, global leader of BCG X, explore the future of GenAI in this video series.
The Multiplier by BCG X
Join us at the intersection of innovation and experience with, where our seasoned experts provide deep dives into emerging technology topics.
By using AI to generate KPIs that are more accurately predictive than legacy performance indicators, companies are challenging assumptions about the drivers of business success.
We highlight six key enablers that can help the public sector unlock the transformative benefits of Generative AI for their organizations and communities.
To advance their marketing maturity, brands must embed data, conduct full-funnel marketing planning, and deliver technology-enhanced consumer experiences daily.
Companies need to use GenAI as an instrument, not a hammer, and focus on three initiatives that can deliver the most impact.