Another worrying feature of MDM platforms is the ability to do a remote wipe. The software can wipe managed apps, or individual apps, or it can wipe the entire phone. "It's something that organizations might want, but it puts personal data at risk," Hafid said. One reason that a company might want to do a full wipe is if employees download company documents to non-managed applications. But it could result in employees losing personal photos and personal messages. "Say you leave the organization and your employer wants to makes sure that there's no corporate data you take with you," he said. "They may wipe the device without notifying you." In addition, many MDM solutions allow companies to restrict smartphone features such as iCloud backups.
IT leaders fail in their board presentations when they try to use presentations to advance management decisions, such as setting budgets, making investment trade-off decisions, and soliciting guidance on strategic projects. These types of management decisions are the C-suite's job, not the board's. Rather, the board's role is to fulfill its fiduciary duty to ensure risk is managed. This is primarily accomplished by evaluating leadership's effectiveness and ensuring the organization has the right management team in place. IT leaders who come to their board presentation asking the board to make management decisions about information security are likely to fail. Instead, the best IT leaders ensure that every aspect of their presentation is designed to build their credibility as a leader.
In today’s constantly connected world, customers expect more than ever before from the companies they do business with. With the emergence of big data, businesses have been able to better meet and exceed customer expectations thanks to analytics and data science. However, the role of data in your business’ success doesn’t end with big data – now you can take your data mining and analytics to the next level to improve customer service and your business’ overall customer experience faster than you ever thought possible. Fast data is basically the next step for analysis and application of large data sets (big data). With fast data, big data analytics can be applied to smaller data sets in real time to solve a number of problems for businesses across multiple industries.
Christoph Gerlinger, CEO of German Startups Group, said the Brexit was good news for the German startup scene. “We expect a significant decrease in new incorporations in London in favour of Berlin, as well as an influx of successful London startups,” he said. Techspace, a flexible co-working space for tech startups, has expanded to Berlin – a decision which was taken ahead of the referendum. However, its CEO David Galsworthy added that there is “no doubt London will also continue to be a central hub”. Computer Weekly previously reported that Australia has called on UK technology startups to set up shop on its shores, with the promise of government support, a highly skilled workforce and a stepping stone to Asia.
Deep learning comes in many flavours. The most widely used variety is “supervised learning”, a technique that can be used to train a system with the aid of a labelled set of examples. For e-mail spam filtering, for example, it is possible to assemble an enormous database of example messages, each of which is labelled “spam” or “not spam”. A deep-learning system can be trained using this database, repeatedly working through the examples and adjusting the weights inside the neural network to improve its accuracy in assessing spamminess. The great merit of this approach is that there is no need for a human expert to draw up a list of rules, or for a programmer to implement them in code; the system learns directly from the labelled data.
“How do we interact with things in the real world? Well, we pick them up, we touch them with our fingers, we manipulate them,” said Shotton, a principal researcher in computer vision at Microsoft’s Cambridge, UK, research lab. “We should be able to do exactly the same thing with virtual objects. We should be able to reach out and touch them.” This kind of technology is still evolving. But the computer scientists and engineers who are working on these projects say they believe they are on the cusp of making hand and gesture recognition tools practical enough for mainstream use, much like many people now use speech recognition to dictate texts or computer vision to recognize faces in photos.
Manufacturers often are challenged with making product and service quality to the workflow level a core part of their companies. Often quality is isolated. Machine learning is revolutionizing product and service quality by determining which internal processes, workflows, and factors contribute most and least to quality objectives being met. Using machine learning manufacturers will be able to attain much greater manufacturing intelligence by predicting how their quality and sourcing decisions contribute to greater Six Sigma performance within the Define, Measure, Analyze, Improve, and Control (DMAIC) framework. ... Manufacturers are turning to more complex, customized products to use more of their production capacity, and machine learning help to optimize the best possible selection of machines, trained staffs, and suppliers.
IT's involvement with blockchain implementations -- and therefore the level of urgency associated with putting this technology into operation -- will to some degree depend on the vertical industry the company is in, with financial services being the most urgent. But as evidenced by Caraher's enthusiasm for blockchain's application to legal services, interest in the technology is widespread. Vendors active around blockchain -- both broad IT vendors such as Microsoft and IBM, as well as niche blockchain suppliers -- say they're fielding calls from virtually all industries. In addition to financial services and legal industries, others include: insurance, utilities, public sector, advertising, healthcare, auditing, supply chain, manufacturing and real estate.
The average consumer doesn't know much about Linux and probably nothing about AGL. Truth be told, that doesn't matter. That same average consumer is already using Linux in devices at home and work; smartphones, embedded devices, clouds, chromebooks, etc. And when they purchase a car running AGL, it won't matter that it's Linux; it will only matter that it meets (and exceeds) their needs. AGL will do just that. Linux has already proved how well it can function in embedded systems and smartphones, so there is no reason to think it will not rise far and above what both Google and Apple are doing with their in-car solutions — solutions that cannot fully function without being connected to an external mobile device.
Emmanuel Lumineau, the CEO of Financial Conduct Authority regulated startup BrickVest, a real estate investment platform, said the company might have to move some of its business and people to other EU member states. “Without doubt, the UK is now a less attractive option for fintech investment platforms that want to operate across Europe,” said Lumineau. “Platforms such as Brickvest are typically regulated by the FCA, whose framework allows us, and companies such as ours, to target investors across Europe. “Brexit now means firms will eventually need to find a new regulator on the continent to continue doing business across Europe. Cities such as Paris, Berlin or Frankfurt can offer this. Consequently, BrickVest may have to shift some of our business and team abroad.”
Quote for the day:
"The key to successful leadership is influence, not authority." -- @kenblanchard