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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Legacy data management practices, where insights are delayed and decisions rely on instinct, are no longer sufficient in today's fast-paced business environment. To stay competitive, organizations must decentralize decision-making and ensure frictionless, timely access to data for all employees. As this Advisor explores, a strategic, tailored approach to data recency and accessibility will define future-ready enterprises.
With the business analytics market expected to double by 2033, organizations must move beyond descriptive and diagnostic analytics to predictive and prescriptive approaches that enable smarter decision-making, efficiency gains, and strategic agility in an increasingly data-driven world. This Advisor explores the evolving role of business analytics in transforming raw data into actionable insights that drive organizational value.
Orlando, Florida, is leveraging cutting-edge 3D technology to drive economic and community development through one of the world’s most comprehensive regional digital twins. The model recreates 40 square miles in high fidelity and is used by the Orlando Economic Partnership to attract businesses to the region. This Advisor looks at this interactive tool, which integrates data on demographics, infrastructure, and amenities, offering immersive experiences via tablets and VR headsets.
Cutter Expert Curt Hall explores small language models (SLMs), which are gaining attention for their ability to deliver advanced AI capabilities with lower computational costs than LLMs. Optimized for efficiency, SLMs excel in domain-specific applications like customer service, healthcare, finance, and retail, where real-time processing and reduced resource consumption are key.
In this Advisor, ADL’s Eystein Thanisch, Greg Smith, and Michael Papadopoulos question whether AI will deliver on its promised productivity gains. While GenAI has surged in prominence, real-world efficiency improvements remain elusive. To maximize AI’s potential, leaders must take a strategic, human-centric approach — analyzing how AI can enhance key roles while preserving the professional skills needed to harness it effectively.
This Advisor explores how leading companies are advancing AI-driven large world models (LWMs) to enhance robotics and AVs. It examines the efforts of start-ups and tech giants, highlighting their innovations in virtual world simulation, AI training, and real-world applications. While LWMs remain an emerging technology, their rapid development is poised to revolutionize AI-powered automation, decision-making, and interaction in complex environments.
This Advisor introduces a practical, scalable, and sustainable data analytics tool developed by the data science team at Sanofi. The tool helped the pharmaceutical manufacturing team transition from reactive modes of data analytics to a proactive approach through prescriptive analytics.
Cutter Expert Curt Hall explores the transformative potential of large world models (LWMs), advanced AI systems designed to simulate real-world environments. LWMs use massive datasets to create virtual, 3D representations of the physical world, enabling more accurate and efficient training for robotics and autonomous vehicles (AVs). Their applications include improving navigation, enhancing perception, optimizing obstacle avoidance, and enabling greater autonomy for robots and AVs in complex or hazardous environments.