In the world of data this expertise in converting is called Data Science. The reason it takes a science to convert a raw resource into something of value is because what is extracted from the ‘ground’ is never in a useful form. ‘Data in the raw’ is littered with useless noise, irrelevant information, and misleading patterns. To convert this into that precious thing we are after requires a study of its properties and the discovery of a working model that captures the behavior we are interested in. Being in possession of a model despite the noise means an organization now owns the beginnings of further discovery and innovation.
When reviewed from a cloud service perspective, it is seen that the data protection liability is shared between the customer who is deemed as data controller and the cloud company who is deemed as data processor. In contradiction to a standard service relation, it is not the data controller but the data processor who decides where the personal data will be stored, which subcontractors will process the data and which security measures will be taken. Most of the time data passes through and is stored in different servers across the world. This means in terms of data subjects and controllers that they may not be able to exercise their rights to the extent possible under EU law.
Becoming a mindful leader isn't easy. There are no five easy steps to do so. A few years ago when I asked the Dalai Lama how we can develop a new generation of compassionate, mindful leaders, he replied simply, "Develop a daily habit of introspection." Today many more companies are promoting mindful practices to improve the health and decision-making of their leaders. Google, under the tutelage of Chade-Meng Tan, trains 2,000 engineers in meditation each year. When I visited Google this spring, it was evident that mindfulness is one of the key reasons behind Google's innovative and harmonious culture. Leading financial services firms like Blackrock and Goldman Sachs offer mindfulness courses for their employees.
Data is a tantalizing thing. Collecting it makes life easier for customers and providers as well. Having your ordering history allows Amazon to suggest products you might like to buy. Having your address on file allows the pizza place to pull it up without you needing to read your address again. Creating a user account on a site lets you set preferences. All of this leads to a custom experience and lets us feel special and unique. But, data is just like that slice of cheesecake you think you want for dessert. It looks so delicious and tempting. But you know it’s bad for you. It has calories and sugar and very little nutritional value. In the same manner, all that data you collect is a time bomb waiting to be exposed. The more data you collect, the larger the blowback for your eventual exposure.
Imagine a scenario where your head office is based in New York and your team is spread across the world in Europe, South America and Asia. The limit today is that even if you do video conference or screen sharing, you never actually experience working with the rest of your team. If the rest of your team is in an office you will not feel like you are part of their team throughout the day. With Virtual Reality, you can actually experience and feel like you are sitting down next to them in the office environment. You can virtually walk into the office, talk to each other, attend meetings, share data and maybe, even share a drink after work through a virtual reality interface.
Ready or not (and most aren’t), power density in the rack is going up, and not incrementally over ten years, but dramatically over three to five years. Can your internal data center(s) support that? Can your partners support it? My rough estimate tells me that if an average of 10kW per rack was required, fewer than 10% of data centers in operation today could handle it. There are a confluence of events occurring that are driving infrastructure design towards more density, and I don’t see anything reversing that trend anytime soon.
Ratpack and Spring Boot are a match made in microservice heaven. Each is a developer-centric web framework for the JVM, focused on productivity, efficiency, and lightweight deployments. They have their respective benefits in the area of microservice development, in that they bring different offerings to the table. Ratpack brings a reactive programming model with a high throughput, non-blocking web layer, and a convenient handler chain for defining application structure and HTTP request processing; Spring Boot brings an integration to the entire Spring ecosystem, and simplistic way to configure and autowire components into an application. For building cloud-native and data-driven microservices, they are a compliment that is unparalleled.
The court, for example, pointed to a suppression motion as offering a complete fix to this issue. “The motion to suppress is vital because it can lead to the suppression of unconstitutionally seized evidence. Once evidence is suppressed, the government’s case could become impossible or significantly more difficult to prove.” That’s fine, but the absence of a court conviction doesn’t even come close to righting this wrong. Ask anyone whose name was dragged through the media for years before being acquitted. Is that person’s life returned to its original state? The Facebook case involved a probe into retired police officers and firefighters “suspected of having feigned mental illnesses caused by the events of September 11, 2001.”
Mobile technology is arguably the greatest accelerator in transforming medical practices and the engagement between providers and patients. Mobile health is particularly important in developing countries, where mobile penetration is high and populations are not well served by traditional healthcare structures. But it is also a priority for physicians in developed countries who want to use their own devices in clinical settings. Much like other industries, healthcare IT teams must address issues around Bring Your Own Device (BYOD) policies as well as the management and security of devices, apps and data.
Throughout India, online education is gaining favor as a career accelerator, particularly in technical fields. Indian enrollments account for about 8 percent of worldwide activity in Coursera and 12 percent in edX, the two leading providers of massive open online courses, or MOOCs. Only the United States’ share is clearly higher; China’s is roughly comparable. India’s own top-tier technical universities have created free videotaped lectures of more than 700 courses, with the goal of putting students at regional colleges in digital contact with the country’s most renowned professors. In the United States and Europe, MOOCs have proved less revolutionary than their champions predicted when they launched on a wide scale in 2012.
Quote for the day: "The more you say, the less people remember. The fewer words, the greater profit. - Fenelon - Be bold, be brief, and be gone!" -- @Orrin_Woodward