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.

Subscribe to the Technology Advisor

Recently Published

This week's Cutter Edge explores the challenge we face in ensuring the data we collect and analyze promotes a better life for all on this planet, rather than increasing the imbalances and dysfunctional behaviors; why we need to break out of familiar patterns in order to be open to innovation; and more.

A recent settlement between the US Federal Trade Commission (FTC) and photo app developer Everalbum, Inc. could have significant repercussions for organizations developing machine learning (ML) and other artificial intelligence (AI) models using consumer data. The settlement requires Everalbum to delete the face recognition models and algorithms it allegedly developed by using photos and videos uploaded by its users.

Improve critical enterprise systems management. Developed by Cutter Fellow and UC San Diego CIO Vince Kellen and his colleagues, this approach applies "new rules" for governing data analytics and leverages the SAP HANA environment to achieve next generation data warehousing success. 

Most analytics solutions designers today are using 30-year-old mental models around scarcity of compute and are thus crippling their designs, not fully realizing how radically different 21st-century analytics has become. The recent leap forward in database and analytics technology includes streaming technologies like Apache’s Kafka, which can handle real time and can scale to handle big data movement at extremely low cost; and high-speed, in memory analytics tools like SAP HANA, which makes mincemeat out of billion-row data sets.

In the enterprise architecture (EA) anti-pattern described in this Advisor, the EA team primarily functions to review projects in the architecture review board (ARB). Each IT project is given a series of standards that it is expected to meet, and at various checkpoints in the software development process, the project team submits a document to the ARB for review. Your enterprise architects are there to be, essentially, a “forcing function.” 
While it is impossible to predict the future, the ability to adapt to what we already know is most likely to prompt a solution’s future pivot can make the difference between an elegantly evolving architecture and one that must be thrown away. In our experience, the patterns and techniques discussed in this Advisor are useful for keeping our digital and data architectures open to changes.
The next generation of business and associated business models is being ushered in by blockchain’s versatility in creating and exchanging value. The opportunities are boundless, but first we must transition from our current infrastructure. Today, the data network proto­cols establish the rules of the Internet and facilitate its use. Most of the value these protocols create is absorbed by just a few companies — either by operating and distributing Internet access or governing the appli­cations that make it easier to use. Only recently has blockchain emerged to offer businesses the chance to capture the value that will come from next-generation Internet protocols.
In this on-demand webinar, Cutter Consortium Senior Consultant Whynde Kuehn discusses how organizations can leverage business architecture to support the UN’s SDGs. You will learn how to determine which SDGs are relevant to your organization, thereby aligning motivation with action, and how to set internal objectives and metrics to help your organization achieve its desired level of contribution. Furthermore, you will explore how to leverage business architecture across organizational boundaries to facilitate collaboration on SDG achievement.