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
David Tayouri brings us the perspective of the Israeli defense environment, justly famous for its leadership in cybersecurity. For Tayouri, the combination of biometrics, asymmetric cryptography (think “PKI”), and blockchain can help construct a strong authentication and authorization environment, which is crucial to, in his words, “reconstruct virtual trust.”
Philippe Flichy tells us that there are three complementary facets we need to consider when it comes to trustworthiness, particularly in an industrial environment: trusting the data, a challenge made more difficult by the emergence of IoT, digital transformation, and cyberattacks; trusting the tools, for example, the machine learning algorithms whose innards are, almost by design, largely inscrutable; and trusting the people, given the pandemic-era new work practices.
Defining, designing, implementing, and managing cross-organization collaborations and ecosystems requires a new mindset, solid architecture, and effective end-to-end execution of business direction. Business architecture and business architects are perfectly suited to help with all three.
In this Advisor, I provide an update on the various types of IT solutions that are currently available for monitoring and enforcing social distancing practices in the workplace, and for helping companies conduct automated contact tracing of employees. These tools provide social distancing and contact tracing for companies seeking to reopen for business post quarantine for COVID-19.
There are two data challenges during the COVID-19 pandemic: (1) collecting the data and (2) building models using the data. In this Executive Update, we discuss the existing approaches and techniques employed to address these challenges.
Business architecture is a critical — and typically missing — bridge between strategy and execution. Organizations should leverage it to translate strategies and other business direction and collectively architect, prioritize, and plan actions to be taken from a business-driven, enterprise-wide perspective. Indeed, business architecture and business architects contribute unique value across the strategy execution lifecycle, as well as connect other teams and help them be more effective.
Data architects need to strike the right balance between addressing data stakeholder pain points and gathering information to build and enhance the data architecture. The triad of people, process, and systems (technology) transforming cohesively are the ingredients for the secret sauce that can provide a practical way of managing the enterprise data architecture. In this Advisor, we examine these influences on data architecture.
In this Advisor, Adrian Jones stresses the importance of context-setting information by pointing out the increased vulnerability to which we are exposing ourselves. We produce and use more and more data. In the backs of our minds, we know that data governance is of growing importance, but we don’t act in the right way on this knowledge.