Strategic advice to leverage new technologies
Technology is at the heart of nearly every enterprise, enabling new business models and strategies, and serving as the catalyst to industry convergence. Leveraging the right technology can improve business outcomes, providing intelligence and insights that help you make more informed and accurate decisions. From finding patterns in data through data science, to curating relevant insights with data analytics, to the predictive abilities and innumerable applications of AI, to solving challenging business problems with ML, NLP, and knowledge graphs, technology has brought decision-making to a more intelligent level. Keep pace with the technology trends, opportunities, applications, and real-world use cases that will move your organization closer to its transformation and business goals.
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This issue of Amplify looks at how leaders can best balance digital era stewardship and growth. That future hinges on strong management in the next five years. Each article addresses the universal question that challenges boards and C-suites: will leaders shape the future, or allow it to define them?
Arthur D. Little’s Eystein Thanisch, Greg Smith, and Michael Papadopoulos address talent management and career planning by asking, “Someone using AI will replace you, but who will replace them?” Their intriguing piece explores which everyday tasks can be augmented or automated by AI. They extend the discussion by examining skills needed across professions and encourage workplaces to reflect on and assess talent needs. Imagining future workflow, technology needs, and employee composition is an overdue dialogue — especially as AI capabilities accelerate.
Cutter Expert San Murugesan spotlights AI’s worrisome “dark side.” Specifically, he outlines a wide array of concerns related to AI’s inherent complexity, scalability, reliability, and ethical issues. More importantly, Murugesan sets forth a trust framework that can underpin responsible and effective AI design, development, implementation, and application.
This Advisor explores how knowledge graphs (KGs) help connect and extract value from big data. While widely adopted by tech giants, KGs shouldn’t replace relational databases outright; the choice depends on factors like data exploration speed and scalability needs. KGs enable visualizing connections for deeper insights, uncover hidden interdependencies through algorithms, and allow flexible scaling by starting small and expanding over time.
Jeremy Blain offers a thought-provoking demarcation of digital detachment and determination. He identifies the pitfalls of widespread tepid and failed transformation projects in recent years and trumpets the imperative for credible leadership that forges meaningful digital era readiness. The article equips senior executives with the insights they need to ask meaningful questions and take substantive actions to ready their organizations for the decade ahead.
In his article, Noah Barsky explores the criticality of financial insight and responsibility. Timely and timeless financial acumen is as crucial as ever in the digital era, as it can quickly reveal which enterprises are, in reality, only technologies in search of a sustainable business model. Despite the fluid and fleeting lexicon of business buzzwords, leaders of well-run organizations honor fiscal stewardship, deliver competitive returns, and communicate with clarity and candor.
Part II of this Advisor series on change management focuses on the critical role of a reimagined change management office (CMO) in driving successful digital transformations. It examines the CMO’s solution catalog, levels of program engagement, and essential enablers for effective change management, offering actionable insights to enhance organizational adaptability and transformation outcomes.
This Advisor explores how AI tools are transforming sustainable agriculture by integrating with traditional farming practices. Through three case studies, it highlights how farms are leveraging AI for disease detection, weather prediction, and crop management while addressing challenges such as infrastructure gaps and community skepticism. By blending technology with local knowledge, these farms demonstrate pathways to achieving climate-resilient and sustainable agricultural outcomes.