DevOps expands enterprise agile from product management and development all the way to IT operations. We’ve done enterprise agile. We now create apps in a way that focuses on the client and maximizes throughput and quality. But that hits a barrier when you get to traditional IT operations. The changes that will be taking place over next five years create the ability to take enterprise agile into IT operations. It means improved platforms, improved automation, improved collaboration across development and ops. It means a constant flow of value into production. ... Rather than throwing large releases over the wall to operations, how can we bring teams together to identify tooling, processes, and practices that can be deployed to automate provisioning and production deployment fully? This significantly improves time to market by increasing throughput and quality.
The concept has been around for a while and is used by solutions like Oracle Big Data. Its biggest issues revolve around having to develop and/or rely on custom solutions for communication and data modeling, making it hard to scale beyond point-to-point integration, Could these issues be addressed? Data integration relies on mappings between a mediated schema and schemata of original sources, and transforming queries to match original sources schema. Mediated schemata don't have to be developed from scratch -- they can be readily reused from a pool of curated Linked Data vocabularies. Vocabularies can be mixed/matched and extended/modified to suit custom needs, balancing reuse and adaptability.
Like many cloud platforms, chat tools allow external organizations to leverage internal APIs to extend functionality, ranging from scheduling assistants to travel booking tools to various engineering and product management systems. Overall, this extensibility represents a core strength of these systems. From a security perspective, however, they can represent data exfiltration opportunities that must be addressed. First, not every third party company is a good steward of the data they have access to; corporate policies for vendor review and acceptable use should apply to chat programs in the same way that they do for any system. As with the GSA example, relying on users to understand the technological limitations and risks around connecting technologies is not a strong strategy.
Today, it’s a lot more complicated because we don’t know what will be the jobs of the next 10 or 20 years. So it’s a lot harder to be passive, and I think you have to be a lot more active. As a piece of advice, if I were 20, there are two things I would do. The first thing, from an education standpoint, you have to learn something, but you have to learn something you like. Just because you want to learn fintech doesn’t mean you have to code. So you really have to learn what you like on the education standpoint, and the second thing, I think it’s about the mindset. It means that to avoid being passive but be very active, for me the best quality to have today is being able to think like an entrepreneur. You don’t necessarily need to be an entrepreneur, you may work for a big company, but you have to think like an entrepreneur.
Advances in artificial intelligence could lead to computers and smartphones developing consciousness and they may need to be given ‘human’ rights, an expert has claimed. Marcus du Sautoy, who took over from Richard Dawkins as Professor for the Public Understanding of Science at Oxford University in 2008 said it was now possible to measure consciousness and, in the future, technology could be deemed to be ‘alive.’ Most scientists believe that computers are close to getting to a point where they begin to develop their own intelligence and no longer need to be programmed, an event dubbed the ‘technological singularity.’
While some marketers will view consumer grade file and sync platforms such as Dropbox or WeTransfer as a swift business panacea, the risk that these platforms open up for data breaches with uncontrolled sharing are high. Today, the ‘data perimeter’ – the boundary that safeguards an organization’s sensitive data – has shifted considerably. This is a result of a more mobilized workforce and greater collaboration with external partners. In the past, when most workers only accessed company information from within the four walls of the business and data was saved on shared drives from PCs located in the enterprise, the perimeter was the firewall. Since the advent of cloud computing, this has changed. In today’s connected world, the data perimeter needs to reside within individual documents, in addition to within the IT infrastructure.
Unlike consumer markets where standardisation - formal or by market dominance - is key to success, IIoT standardisation won’t be a concern for decades. Sure, there are multiple emerging standardisation initiatives in IIoT and yes, it’s not yet possible to know which will grow or be marginalised. But it doesn’t matter. Unlike consumer markets where new standards for say NFC chips in smartphones can roll out and get near full market presence in the few years it takes for people to replace their phones, industries are run on equipment that is anything from years to several decades old. This equipment has been provided by tens, or hundreds of different suppliers.
Experts predict that 6% of all jobs in the US will be gone by 2021 due to automation. The former CEO of McDonald’s sees replacing the whole company’s restaurant workers as a simple question of economics. From software and legal help to sports reports and parcel delivery, there’s few jobs that won’t see some sort of reduction in the world force. But the world’s drivers could be most at risk. Despite continued fear from the public, the money men at taxi, logistics, and delivery companies will have no such fear at deploying autonomous vehicles on the road. No wages, greater fuel efficiency, no worries about shift work or rest stops. It might be cold, but in terms of business sense it’s hard logic to argue with.
“Most of that is using fiber optic cables and not free space transmission (which Li-Fi seems to be). The total capacity in a data centre far exceeds anything that could be done by a shared system (same is true of radio versus use of copper cables).” He continued to say that there is also a need for shared management communications within the data centre (things like DCIM where someone wants “out of band” communications with the hardware, for example). Giving an example of recently carried out research around the use of Li-Fi in the data centre, Christy mentioned Microsoft’s innovative work where the tech giant complemented the “wired” network with a broadcast network (in the data centre) that could be implemented either with radio or which light transmission bounced off the ceiling.
Immature security is the biggest thing delaying adoption of industrial IoT, said Jesus Molina, co-chair of IIC’s security working group, in an interview. Components commonly used in enterprise IT security, like identity and root of trust, don't really exist yet in IoT, he said. There are several components to making anything in IoT trustworthy, the framework says: safety, reliability, resilience, security and privacy. These issues come up because industrial IoT connects so many components, including things like sensors and actuators at the edge of an enterprise, that didn’t exist or weren’t connected to the internet up until now. Those edge connections can open up dangerous vulnerabilities, because they’re often designed to carry some of the most sensitive information in an organization.
Quote for the day:
"He who rejects change is the architect of decay." -- Harold Wilson