A selection of documents, articles, papers, videos and other content for those interested in the transformation that is required when going 100% digital in an organization. I also try to highlight the impacts, both positives and negatives of that transformation. Like it? Please click "Recommend".
in support of wider adoption, companies and independent software vendors are increasingly embedding both traditional reporting, dashboards and interactive analysis, in addition to more advanced and prescriptive analytics built from statistical functions and algorithms available within the BI platform into business processes or applications. The intent is to expand the use of analytics to a broad range of consumers and nontraditional BI users, increasingly on mobile devices. Moreover, companies are increasingly building analytics applications, leveraging new data types and new types of analysis, such as location intelligence and analytics on multistructured data
Digital technology clearly has become a momentous disruptor of traditional business paradigms, as well as an enabler of new business approaches and customer relationships. This is why, according to Cisco Systems Inc., there is an estimated $14.4 trillion in “digital disruption dollars” up for grabs between now and 2022. Accenture believes that digital supply networks are the backbone of this new ecosystem: worldwide conduits that streamline and accelerate the exchange of products, materials, components and (perhaps most important) information. We also believe 3D printing is an ideal illustration of the digital supply network’s vast potential
Mojio’s new plug-in car module will link your car to the cloud, tracking the daily minutiae of driving. App developers like Glympse, Concur and IFTTT are then using that data to make their apps smarter.
Some have said that wearables are a passing fad. And in the very year that Nike backed away from its Fuel Band, it is bold to predict that in 2015 the number of people with a wearable computing device around the globe will more than triple. But it will happen, and the companies that make it happen will benefit for years to come.
Stuart Armstrong is pushing the boundaries of using digital screens to communicate with shoppers inside stores at ComQi. I think he has important things to say about where we’re going with the technology-enhanced shopping experience, which changes in the retail environment are most transformative, and how retailers and brands are using interactive screens to build customer relationships.
Robots have already taken over the world. It may not seem so because it hasn’t happened in the way science fiction author Isaac Asmiov imagined it in his book I, Robot. City streets are not crowded by humanoid robots walking around just yet, but robots have been doing a lot of mundane work behind closed doors,...
Farid Mheir's insight:
I think those questions will have to be answered over the next few years...
The idea behind cloud computing, as pioneer Amazon Web Services believed when it launched its first utility compute and storage products eight years ago, i
Farid Mheir's insight:
Full of data about the size of Amazon data centers (Amazon probably has close to 5M servers), the article describes how they are organized and hints at the networking issues they face. Very interesting and insightful.
In a webinar yesterday, IDC discussed its CIO predictions for 2015 and beyond. Of IDC’s 10 predictions, the one that intrigued me most, predicted that most of the audience, presumably CIOs and senior IT executives, will eventually relinquish their most interesting and important responsibilities to Chief Digital Officers (CDOs):
I think data analysis can deliver inferences at certain levels of quality. But we have to be clear about what levels of quality. We have to have error bars around all our predictions. That is something that’s missing in much of the current machine learning literature.
Farid Mheir's insight:
Jump over to the section on Big Data, and you'll get a great description of where Big Data will likely fail on the near future: making predictions. As a good engineer, Jordan states a fact about Big Data that often goes unnoticed: Big Data today is like gambling because it is not based on a formal scientific approach. Rather, he states quite clearly that Big Data today is like building bridges prior to civil engineering: you can build a bridge but cannot GUARANTEE it will not fail. Same with Big Data: we can analyze a lot of data and make predictions but we cannot guarantee they will become reality.
(or read the entire piece, it will enlighten you on a typical engineering discussion on new technology: dry, cold, fact-based. Much to the opposite of everyday marketing and scientific media interpretation.)