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.
Insight
The API Economy has become a hot topic across different industries. Experts commonly present it as a new and evolved way of doing business in today's world of the Internet, social networking, and mobile apps. However, most of the publicly available sources on this topic are informal (i.e., blog posts or Web articles) and are primarily aimed at nontechnical people.
Organizations are increasingly inundated by data: more sources of data, more types of data, and more detailed data. Yet while the volume, depth, and diversity of data continue to increase exponentially, the need to cut through the growing noise becomes more challenging and ever-more urgent. Organizations will need a new type of decision maker to address this need.
In October and November 2012, Cutter Consortium conducted a survey that asked 69 end-user organizations worldwide about their use of mobile devices, including smartphones and tablets, in order to provide their employees and partners with the ability to interact with business operations, ranging from basic email to CRM and BI while "on the go." Our goal was to determine the
The API Economy has become a hot topic across different industries. Experts commonly present it as a new and evolved way of doing business in today's world of the Internet, social networking, and mobile apps. However, most of the publicly available sources on this topic are informal (i.e., blog posts or Web articles) and are primarily aimed at nontechnical people.
Stakeholders new to agile are typically delighted early in the project as they see regular demonstrations of shippable software. They are often fascinated by aspects of the process such as the efficiency of daily stand-up meetings, colorful task boards, burndown charts, and gimmicks such as estimation with planning poker cards. The simplicity and commonsense approach to planning and execution quickly win them over.
For all independent service providers (ISVs) and IT service providers, developing cloud-based services is becoming an essential business model in order to be at par with competitors and to keep infrastructure and operational cost optimal. The challenge here is two-fold: (1) developing, deploying, and maintaining services using cloud-based models form one part of the challenge; and (2) choosing the right set of infrastructure and application components and achieving a defined level of nonfunctional aspects is the other part.
In Part I of this article ("Intelligent Video Analytics On the Rise, Part I"), I discussed the basics of video analytics and how the technology has evolved into comprehensive, intelligent video analysis (IVA) platforms, which are finding increasing use for automating the moni