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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Where in security practice do we turn for inspiration when it comes to protecting our well-being and health from cyberattacks?
In this Summit 2016 keynote presentation, Federico Pigni demonstrates both strategic and tactical opportunities made possible by DDS.
Rather than having a team of testers manually testing the code for defects, invest in writing good automated tests that can validate that each feature works as expected. When this happens, testers won’t scramble to keep up with developers, and developers won’t be waiting on testers.
Robert Ogilvie takes a broader look at some of the themes already developed and considers the likely role of cognitive computing in the near future. He suggests that automation has gone through three phases: a robotic phase, in which computers performed rote tasks; a social phase, in which computers have facilitated communication and collaboration; and a cognitive phase, in which computers are learning to use knowledge to solve intellectual problems. He alludes that most of the new cognitive systems will interact with and aid human performers. Rather than replace human managers, Ogilvie implies, cognitive computing applications will make existing managers more knowledgeable and better able to respond to a broader range of challenges. He goes on to offer an inspiring vision of cognitive computing applications that help individuals and teams focus their attention on the challenging problems that are really worthy of consideration.
In her article, Karolina Marzantowicz explores how computers learn. It turns out that teaching a cognitive application is rather like mentoring a new associate: setting tests, offering hints, and doling out lots of reinforcement as the application learns more and provides better answers. She discusses some of the different techniques required for acquiring basic knowledge, for learning a natural language, and for learning to make sense of images.
This Executive Update offers an overview of potential vulnerabilities in your apps and websites that handle location, along with some ideas of what you can do to fix, prevent, or otherwise manage these vulnerabilities.
One of the biggest organizational design (OD) challenges facing many organizations is the switch from the more structured, hierarchical forms that were effective in the Industrial Age to more fluid, networked structures that are more appropriate in the Information Age. This is an often unspoken transition that lies at the heart of many enterprise architecture (EA) projects.
Aravind Ajad Yarra gives us his own description of the history of natural language interface development and goes on to consider what kind of architecture is required to support conversational interfaces. Without getting into coding details, Yarra provides a good overview of the challenges developers will face as they seek to develop conversational interfaces for business applications.