Applications will be designed to discover self improvement strategies as a new breed of log and machine data analytics, at the cloud layer, using predictive algorithms, enables; continuous improvement, continuous integration and continuous deployment. The application will learn from its users, in this sense the users will become the system architects teaching the system what they, the users, want and how the system is to deliver it to them. Gartner view Advanced Machine Learning amongst the top trends to emerge in 2016 with “advanced machine learning where deep neural nets move beyond classic computing ad information management to create systems that can autonomously learn to perceive the world, on their own … this is what makes smart machines appear "intelligent."
CES 2016 in Las Vegas came to life for media attendees with a preview event -- CES Unveiled -- on Monday night. The event was set up for vendors to show off their products in hopes of attaining media attention. It also served as a glimpse of the broader products and trends we'll be talking about throughout 2016 and beyond. After walking around a crowded ballroom for a couple of hours checking out gadgets of all shapes, sizes, and functionality, here are the major trends I saw observed that I think are likely to have long-term impact on our lives and businesses.
Outlining his plans for an ethics advisory group, Buttarelli said the group will “advise on a new digital ethics that allows the EU to realise the benefits of technology for society, whether for security or economic reasons, in ways that reinforce the rights and freedoms of individuals while retaining the value of human dignity”. Buttarelli said that as the understanding that dignity is important spreads, people will want more opportunities to protect their privacy. “But we also need to be clear about exchanging personal data for incentives, whether those incentives relate to increased security or consumer benefits,” he said. According to Buttarelli, the internet has evolved such that the tracking of people’s behaviour has become routine for many intelligence agencies and an essential revenue stream for some of the most successful companies.
Cognitive computing, according to Vice President of IBM Watson Steve Gold, essentially marks the arrival of a new “era” in computing. What started with his own company’s development of tabulation computing, to process US census data at the dawn of the 20thcentury, developed into programmatic computing in the middle of the century, with the arrival of transistors, relational databases, magnetic storage and eventually microprocessors. Now, the enormous growth in unstructured data we have experienced in recent years, and the sophisticated methods that have been developed to help us make sense of, understand and learn from this data, has given rise to cognitive computing. Cognitive computers don’t need to be programmed – they can learn for themselves.
This playful spirit at the top permeates Vail. Management tactics, special outings, celebrations, and rewards all support the emotional culture. Resort managers consistently model joy and prescribe it for their teams. During the workday they give out pins when they notice employees spontaneously having fun or helping others enjoy their jobs. Rather than asking people to follow standardized customer service scripts, they tell everyone to “go out there and have fun.” Mark Gasta, the company’s chief people officer, says he regularly sees ski-lift operators dancing, making jokes, doing “whatever it takes to have fun and entertain the guest” while ensuring a safe experience on the slopes.
Creativity and innovation have more to do with the hierarchical, logical IT world than people may think, said James Stanger, senior director of products for CompTIA Inc., a nonprofit IT industry association involved in training and certifications. Innovation and creativity enhances an IT pro's ability to troubleshoot, design architectures and optimize performance to meet traditionally important metrics, such asreliability, stability and efficiency of IT operations. Stanger calls it the ability to make an informed choice. Combine an ability to see "the spaces between the systems" -- how everything interconnects and works in your environment -- with a deep knowledge of the protocols and procedures in use, and the IT worker can create the best architecture and operations possible for their business, he said.
It’s not the interface that’s changed, it’s the input. A Surface-style touch keyboard was a given as soon as the iPad Pro was confirmed, but Apple did more than move the keys to a more comfortable position. Snapping a Smart Keyboard to the iPad Pro instantly creates a bridge between the desktop and mobile realms, not just with the quick keystrokes and onscreen shortcut bar, but also in how integral it is to the whole experience. With the Air and the mini, Bluetooth keyboards are highly optional and occasional accessories that add little more than convenient typing, but the Smart Keyboard is absolutely necessary to the iPad Pro, so much so that I’m surprised Apple didn’t charge $200 extra and just include it in the box. It may be a baby step, but it’s an important one in the evolution of iOS.
“Just 14% said the IT operations department was the main sponsor of the migration project, and 11% said a business leader with no knowledge of the cloud was the main instigator,” said Rackspace’sAnatomy of a Cloud Migration report. “Overall, this means that CEOs, business leaders and boards of directors drive six out of 10 (61%) cloud migrations,” it added. In cases where the move to cloud was being led by a business leader rather than a tech one, it is far more common to see companies employ a third-party organisation to oversee the process, the report said. As for the reason why business leaders, rather than IT decision-makers, are leading organisations’ cloud charge, it could be because adopting cloud is seen as a way of cutting costs from the business.
Nadella emphasized that the tools to protect, detect and respond to threats have existed for many years. The seeds for this were planted more than a year ago as Microsoft combined Intune, Azure Rights Management and Azure Active Directory Premium into its Enterprise Mobility Suite and the company doubled down on technologies such as authentication and identity management. "What is new is that posture," Nadella said. .... What Microsoft is trying to build, he said, is an "intelligent security graph" that brings together virtually all of the company's security intelligence from streams throughout Microsoft, its customers, partners and security operations centers throughout the world in real time and that of select partners tied into that graph.
In a perfect world, data scientists would be free to access and manipulate all enterprise content quickly and fluidly without impairment. But the reality of the data environment for most businesses is a scattered and messy ecosystem of multiple systems and software; each used for different content and management functions. Data is duplicated, disconnected, and disjointed. There is no single portal or platform for search. When data scientists are forced to gather content from IT systems that are sprawled across innumerous platforms and departments, they are left grasping at straws and with little more than a flawed convenience sample. Garbage in, garbage out. The data scientist won’t likely answer all of our problems, but data management just might – if given enough time and planning. As 2016 starts to dawn upon us, business leadership is starting to realize that analytics skills alone will do little to make sense of enterprise-scale content.
Quote for the day:
"Executive ability is deciding quickly and getting somebody else to do the work." -- John G. Pollard