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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Drawing from their rich expertise in real estate, housing management, urban planning, and innovation, Brian van Laar, Angela Greco, Hilde Remøy, Vincent Gruis, and Mohammad Hamida explore the concept of adaptive reuse, which involves repurposing buildings to extend their lifespan and can drastically cut emissions in the built environment. However, implementing and scaling adaptive reuse is challenging. The decision-making process is often top-down and fails to capture relevant voices and make compromises acceptable to all stakeholders. AI might come to the rescue as it enables new visualization tools to unite stakeholders.
Healthcare and pharma are embracing a data revolution, powered by wearables, AI, and genomics/precision medicine. These technologies drive efficiency, precision, and innovation, but their true value depends on aligning outcomes with stakeholder needs. This Advisor explores how data-driven decision-making, value-based metrics, and emerging technologies are transforming healthcare services.
This Advisor explores the Digital Trust Transformative Market (DTTM) model, which offers a robust solution to the challenges faced by traditional agri-food supply chains. DTTM leverages blockchain technology to foster trust among supply chain actors and enables the creation of dynamic, efficient, sustainable supply chains.
Pieter Waller, cofounder and previous chief commercial officer of Chargetrip, a leading start-up in the smart electric vehicle routing space, takes us on a journey to scale e-mobility through digital solutions. Focusing on the electrification of commercial fleets, he unpacks the multitude of constraints that complicate e-mobility scaling. Waller then provides clear managerial guidance on how to manage these constraints. Similar to the challenge in the general electricity system, the task of matching supply and demand through data must be the guiding mantra. Furthermore, companies must design a technology stack that is open to integration and allows for the coordination of multiple actors through APIs. Finally, Waller explains that given the differences in regulations and local conditions across countries and locations, a flexible and bottom-up approach to piloting and scaling smart-charging and routing applications is the key to success.
In a thought-provoking article on the butterfly effect of AI, Jonatan Pinkse, professor of sustainable business and director of the Centre for Sustainable Business at King’s College London, teamed up with René Bohnsack, professor at Católica Lisbon School of Business & Economics, Portugal, where she also heads the Digital+Sustainable Innovation Lab. Since “seemingly harmless” AI applications can have adverse effects on the environment and society at large, they present a comprehensive framework for wisely managing AI for sustainability. Managers must control AI’s training data, the optimization drivers and parameters in AI algorithms, and the decisions taken based on training data and algorithms with potential biases. The authors demonstrate that successfully managing unintended consequences requires continually monitoring, measuring, modeling, and managing AI applications for sustainability.
Jannis Jehmlich, a senior product manager from 1KOMMA5, the German unicorn that set out to digitally transform the energy industry, provides a deep dive into the load management problem that comes with the integration of renewable energy sources into our energy systems. Because large-scale integration of renewables is probably the most important challenge for emission reductions, digital innovation can play a huge role. Jehmlich walks us through the complex supply and demand dynamics in Germany’s energy systems and introduces the idea of a digital power economy driven by real-time data and a dynamic electricity tariff that can solve the load management problem. However, this envisioned digital power economy depends on comprehensive data gathering through smart meters, enhanced data processing capabilities, and synchronous regulation and process changes in a heavily regulated industry.
Christina Bidmon, Laura Piscicelli, and Iryna Susha, along with Devin Diran, Francesca Ciulli, and Albert Meijer provide four core messages. First, that a successful twin transition requires rigorous conceptual and empirical research that provides us with the tools and insights to help navigate the complexities of the transition. Remarkably, the second core message entails a warning to stay clear of tech optimism, which speaks directly to issues related to unintended consequences. Digital innovation can be the key to sustainability but will not solve all our problems — often, other approaches and nature-based solutions should be prioritized. Third, Bidmon et al. highlight the need to understand the factors that facilitate or prevent collaboration for digital sustainability. Finally, the authors point out that neither policies nor businesses can achieve the twin transition alone; rather, comprehensive policies are needed to provide smart incentives for businesses to engage responsibly.
Aspen Institute Fellow Alessia Falsarone sheds light on an often-overlooked aspect of digital sustainability: the digital talent needed to manage digital sustainability solutions. Unlocking the benefits of digital sustainability and managing its unintended consequences requires the right digital talent. Falsarone’s best practices for growing the talent pool for digital climate transformations include: (1) identifying climate-resilience skills and capabilities, (2) leveraging collaborative tools and research for learning, and (3) embracing AI and feedback for advancement. Finally, going beyond the perspective of a single firm, she presents best practices for building and leveraging stakeholder networks for digital talent: leveraging living laboratories, fostering diverse networks, and championing collaborative initiatives.