The best part is that there is no need to buy expensive software licenses. Any software application upgrades, and the security feature aspects are the sole obligations of the cloud service provider. When it comes to efficiency, flexibility, reliability, and scalability the cloud undoubtedly triumphs over the rest. Staying competitive in today’s world demands high levels of investment in technology in its various avatars. But enter cloud computing and all your worries go away thanks to ‘rent, don’t buy’ policy so strikingly espoused by it. It is easy to stay on top of market opportunities and retain your competitive edge with cloud computing. The future of cloud computing will only get brighter.
The average cost per user of a data breach is now $240 … think of businesses looking at that cost and saying “What if I can find a way to not hold that data, but the value of that data?” When we do that, our concept of privacy will be different. Our concept so far is that we should give people control over copies of data. In the future, we will not worry about copies of data, but using data. The paradigm of required use will develop once we have really simple ways to hold data. If I were king, I would say it’s too early. Let’s muddle through the next few years. The costs are costly, but the current model of privacy will not make sense going forward. If I ping a service, and it tells me someone is over 18, I don’t need to hold that fact.
Ng’s prototype relies on a technology called deep learning. Inside the massive computer data centers that underpin Baidu’s online services, the company runs massive neural networks—networks of hardware and software that approximate the web of neurons in the human brain. By analyzing enormous collections of digital images, these networks can learn to identify objects, written words, even human faces. Feed enough cat photos into a neural net, and it can learn to identify a cat. Feed it enough photos of a cloud, and it can learn to identify a cloud.
Defending why Google hasn't revealed the members of its AI ethics committee yet, Hassabis said "it's very early days" and "there's lots of scrutiny on this". He said he'd like to get everyone "up to speed" on artificial intelligence first. "We wanted to have a calm, collected debate first," he said. "At some point we will reveal who these people [on the ethics committee] are and what issues are being discussed." Hassabis also assured the audience that he will not allow DeepMind technology to be used in military applications. Hassabis also revealed that he spoke with Hawking on the topic of AI a few months ago. "I think [Hawking] was quite reassured about how we specifically were approaching AI," said Hassabis.
It’s not just the challenge of keeping up to speed with technological developments. It’s whether and how the current design of our private and public institutions needs to adapt to cope with these changes and to restore the trust of society – digital trust. In June, to mark the 800th anniversary of the Magna Carta, we looked at how institutions (organised and purposeful interactions of people based on contract, law or culture) must create and maintain trust through legitimacy, effectiveness and transparency, and how global megatrends like technology are driving the need for a design transformation and a bold new charter for our digital world. Here we take a look at 10 digital trust issues that in our view institutions must grow new capabilities to address.
As a starting point, Hopfer suggests that CIOs take an inventory of the cloud services running within their organizations to assess their security posture. The exercise of evaluating what types of applications employees are running can shed light on the tools they need to support the business objectives of the enterprise. ... As hackers grow more sophisticated and attacks mount, security is a primary concern for CIOs in all industries, but it carries a special importance in healthcare owing to the sensitivity of the data involved. Moreover, much of the information contained in health records is unalterable, and, taken in composite, makes for a remarkably full profile that criminals can put to use for all manner of fraudulent ends.
When it comes to crystal ball gazing in the tech world, the rule of thumb is not to do it as you only end up looking like an idiot in 12 months’ time. This time, though, the sad truth of the matter is that predicting the shape of the IT security threatscape for next year really isn't that hard: 'more of the bloody same' pretty much sums it up. But while exploit kits, DDoS attacks, and ransomware will all continue marching into the enterprise and doing damage, these threats will also evolve to become more dangerous. Here's five IT security predictions to mull over as you recover from your New Year's Eve party.
In 2016, automated personalization will be a critical business benefit that big data analytics will begin to deliver in the coming year. Companies will continue to seek competitive advantage by adopting new big data technologies and allowing machines to simulate subjective ‘squishy’ data – including human communication cues such as nonverbal behavior, facial expressions, tone of voice. Big data analytics makes this possible by assimilating vast amounts of information, including the types of data that were too slow and expensive to collect and analyze in the past, such as communications and case records for knowledge workers. As the machines get better at interpreting a variety of data types and collating it with vast quantities of structured data, they can begin to improve and accelerate both employee-owned business processes and customer-facing experiences.
One of the first questions brought up when talking about Redis and its use as a time-series database is “what is the use or purpose of a time-series database?” The use-cases around time series databases are more related to the data involved - specifically that your data is structured as a series of events or samples of one or more values or metrics over time. A few examples include (but are not limited to): Sell price and volume of a traded stock; Total value and delivery location of an order placed at an online retailer; Actions of a user in a video game; and Data gathered from sensors embedded inside IoT devices. We could keep going, but basically if something happened or you made a measurement, you can record that with a timestamp.
Quote for the day:
"Unless you try to do something beyond what you have already mastered, you will never grow." --Ralph Waldo Emerson