デジタル/テクノロジー/データ 最近の論考

多くの日本企業が長年使ってきたレガシーシステムの刷新などIT・デジタル投資で苦戦を強いられています。本書は、現場での経験が豊富なコンサルタントが、企業が陥りがちな罠を明らかにし、成功に向けて経営者に求められる心構えやプロジェクトの実施にあたって押さえるべきポイントなどを解説します。

量子コンピューティングの長期的な見通しは依然として明るいものの、現時点での進展は期待を下回っています。どのような課題があるのでしょうか。

高いデジタル組織能力を身につけた伝統的産業の既存企業が、デジタルハイパースケーラー企業やデジタルネイティブ企業に急速に追いつきつつあります。規模、顧客基盤、データなどの既存企業ならではの強みとデジタル組織能力を組み合わせて、イノベーションを通じた成長を実現しています。

BHI Japanは、AIとロボットが融合した「インテリジェントロボット」を日本における生産性向上、優位性構築の切り札ととらえ、その事業としての展開と活用について考察を進めてきました。本稿では、日本が特に注力すべき領域を明らかにしながら、考えうる具体的な活用例を業界ごとに解説します。

BHI Japanでは、企業、そして社会の課題解決という観点でメタバースが持つ可能性を研究しています。本稿では、その初期の成果として、メタバースが社会をどう変えていくのか、企業はこの機会をどう活用できるのかを、包括的に、かつ具体的なヒントを交えて解説します。

GenAI overcomes the complexities of previous AI implementations through user-friendly interfaces, agent-based automation, and cross-functional orchestration.

Tougher regulatory oversight and the soaring costs of major data breaches are elevating cybersecurity to a higher strategic priority for corporate leaders and boards.

GenAI agents need to handle tasks responsibly, accurately, and swiftly in multiple languages, addressing potentially millions of specifications across hundreds of thousands of products.

System integrators are key partners in enterprise resource planning projects, but effective collaboration is a work in progress for many organizations. Five factors can spark better results.

When companies view sustainability as a driver—not an outcome—of digital strategy, they reap significant benefits. But they also sow them, helping the planet meet environmental goals.

Many of the original architects of digital disruption are slowing down, squeezed between a new class of digital incumbents that are gaining traction and a younger crop of speedy digital innovators. To get back on track, they need a renewed focus on the factors that drove their initial success.

Our de-risking framework can help you avoid the potential business and technology hazards on the road to a successful cloud migration.

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.

Generative AI can be a formidable tool for IT leaders. But the near-term opportunities depend on your organization's digital maturity, as Vlad Lukic explains.

Top companies have adopted and scaled four times more data and AI use cases across their businesses than laggards, and the average financial impact is five times greater.

Is quantum computing finally nearing the point where it can fulfill its transformative potential? The answer, right now, is mixed.

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.

Sellers are increasingly using AI and other virtual tools to create a more personalized, extraordinary customer experience. BCG’s Japjit Ghai explains how.

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.

A global survey finds that senior women in technical functions are ahead of their men peers in adopting GenAI—but junior women are lagging behind.

Making IT a core element of a cost initiative allows the organization to optimize operations, reduce spending, improve service delivery, and enhance competitiveness and efficiency.

News organizations and other creators are blocking access to the diverse, high-quality content that feeds GenAI models. Here’s a way for the two sides to work together.

We highlight six key enablers that can help the public sector unlock the transformative benefits of Generative AI for their organizations and communities.

Permissioned decentralized finance—a blockchain-based financial technology—may finally support a cross-border payment system that is faster, cheaper, and more verifiable.