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
Resistance to change is the primary reason why so many good ideas fail. Thus, it is critical to have user involvement throughout the scope definition and process redesign. Discover how an effective communication strategy between top management and users makes all the difference during project initiatives.
This Executive Update draws from the lessons of the Boeing MAX groundings to illustrate the importance of selecting, monitoring, and acting upon risk indicators to preemptively manage risk, as well as providing opportunities to reduce total cost of risk, improve financial performance, and assure stakeholders that risk is being addressed on a controlled and informed basis.
Dynamic Deep Learning (DDL) provides business value by enabling instant decision making. When analytics on streaming data is incorporated into everyday decision making along with traditional analytics of static data, businesses can discover greater opportunities and identify risks in advance. Discover the business value of DDL in this Advisor.
Keeping data is often presented as a no-brainer, even if you don’t know what to do with the data. But data is complicated and can be unreliable and wrong. This Advisor explores the drivers to save data, the drivers to not do anything with the data after saving it, and the complexities of making data-driven decisions.
According to a Cutter Consortium survey examining IPA adoption in the enterprise, organizations rank retail as the sixth leading industry in which IPA will have its most significant impact. Retailers are applying robotic process automation (RPA) and other process automation tools bolstered with machine learning (ML), predictive analytics, and computer vision to a number of applications and domains. This Advisor explores how these tools help make their supply chains more flexible, revitalize the retail shopping experience, and boost customer satisfaction in both online and in-store scenarios.
This edition of The Cutter Edge identifies the nine lessons embodied by Steve Jobs that helped him create a lasting legacy, considers why the IT industry continues to perpetuate the spread of disinformation, and more!
As we give in to our “very powerful tendency to anthropomorphize ML and AI, imbuing it with human characteristics,” we set our ML projects up for failure. This Advisor explores the importance of deciding on the question you are trying to answer before you embark on an ML analytics project.
As we explore in this Executive Update, the responsibility for alignment between corporate strategy and business unit innovation and R&D frequently lands with the CTO, who needs the right processes and tools to achieve this. Making the right choice of tools is key to ensuring optimal balance between sector-level autonomy and group-level alignment.