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.
Recently Published
Jacek Chmiel examines current challenges in the data processing space. He outlines the issues stemming from multiple health data standards, the need for more developed data quality processes, and the industry’s perhaps unnecessary aversion to data streaming. Chmiel offers hope in the form of federated analytics and federated learning to allow more collaborative data processing between countries and proposes increased use of automation. He also advocates for employing publicly and commercially available data sets and looks at how natural language processing, machine learning, and quantum computing are the future of data-driven pharma.
The authors relate how the data science team at Sanofi’s Toronto, Canada, pharmaceutical manufacturing site moved from a reactive to a proactive operational mode to enhance data analytics and increase efficiency. They describe the prescriptive analytics solution they developed to significantly reduce reaction times when manufacturing issues occur. Their live data analytics engine accommodates various modeling approaches and performs additional data mining.
This Advisor takes a closer look at cyber resilience: companies must protect data systems against cyberattackers trying to take advantage of pandemic-related changes and must adjust their crisis management measures to ensure continuity of activities when a crisis develops.
Most cyberattacks come from known vectors and methods that are well-defined. As we explore in this Advisor, these threats can be effectively defended against by ensuring that basic security measures are in place.
Explainable AI (XAI) goes deep within the AI system to identify the reasoning behind recommendations, verify the data, and make algorithms and results transparent. Such explainability reduces biases in AI-based decisions, supports legal compliance, and promotes ethical decisions. This Executive Update explores the need for, importance of, and approaches to making AI systems explainable
CIOs and CTOs must steer their organizations toward the right technology portfolio to effectively realize sustainable business models while generating value for stakeholders. Their role in continuously assessing, designing, and implementing sustainable business models by engaging effectively in a sustainable business model canvas can ensure a future-fit business, which will take organizations closer to a zero or negative impact on socio-ecological systems.
Current interest around sustainability and net-zero initiatives mostly focuses on efforts to reduce carbon emissions associated with various products and services. But, as we explore in this Advisor, methane is another emission that wreaks havoc on the environment and deserves our attention.
In this Advisor, we share a Q&A session from Cutter Fellow William Ulrich's recent webinar on the role of business architecture in software design.