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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During this on-demand webinar, Murray Cantor explains how you can improve your development, IT, or devops teams' performance using Modern Lean principles.
Reasons vary as to why the use of speech as a means for employees to interface with enterprise applications has received only limited use. Arguments run from limitations associated with the accuracy of early speech recognition systems to questions pertaining to their expected ROI in business scenarios. But I think the biggest reason has been the lack of a real need to actually use speech systems in the enterprise. Simply put, it has just been easier for employees to access most enterprise systems using a keyboard while they were at work; and this was the case for years.
"We're going to need this deployed ASAP." I've heard this phrase hundreds of times in my career. But this time all my internal alarms sounded off.
Organizations have missions. Specific roles have missions, too. The fact that we go to some trouble to define missions is an indication that there is some utility in doing so for entities designed to accomplish something of value. We are currently putting architects in place in our enterprises. But there are so many varied definitions of "architect" within enterprises, let alone across companies. So can defining an architect's mission help?
Advisor
Slicing Across the Siloes
There is a growing buzz in the blogosphere that agile architecture means combining Agile software methodologies with software architecture best practices. So, is that what agile architecture is all about?
Perhaps, but that's not the whole story. We also need to reinvent the practice of EA to achieve business agility in the enterprise. Software plays an important role, but agile architecture isn't really about software. It's about the people in the organization.
Wave is not your traditional enterprise BI toolset. Nor is it simply another add-on data visualization product. Rather, Wave employs a hybrid BI and search design intended to provide nontechnical end users with interactive self-service BI exploration and analysis capabilities.
The uncertain future of cloud computing and the plethora of frowny CIO faces of a couple years ago are rapidly giving way to the acceptance -- if not embracing -- of infrastructure as a service (IaaS), at least among IT leaders. The good news is that this shift is without the typical knee-jerk and shallow skepticism or naive Panglossian enthusiasm for the next new thing. This mental shift is tempered, real, and comes with more "buy" questions than "hold" or "sell" ones.
As a senior manager, you set priorities and determine whether these recommendations are implemented. Ensure all parties engage and coordinate to get data quality the attention it needs at the right time and place in the project. In this Advisor, we highlight some best practices for collaboration.
Data Knowledge Network Collaborating with Project ManagementTo begin, you must understand how your data knowledge network affects project management: