With 2019 now behind us, it's time to focus on the key trends and themes which are set to be front of mind for data centre and infrastructure teams in the new year. We hear from several industry experts who offer their insight into some of these trends to help IT and data centre leaders prioritise for the year ahead. Gartner has detailed trends that infrastructure and operations (I&O) leaders should start preparing for to support digital infrastructure in 2020. Trends include considering an automation strategy, a review of Disaster Recovery plans with a hybrid infrastructure model in mind, as well as the impact of IoT and a need to investigate the concept of HDIM, which looks to address the primary management issues of a hybrid infrastructure. Ross Winser, Senior Research Director at Gartner, said: "This past year, infrastructure trends focused on how technologies like artificial intelligence (AI) or Edge Computing might support rapidly growing infrastructure and support business needs at the same time.
Twenty IT leaders look into their crystal balls to predict the technologies and trends that will drive the sector in 2020. CIO Australia asked Australian technology bosses about their top line predictions for 2020, the technologies that will have the greatest impact next year, and what top trends will impact the IT and business landscape. Here are the predictions from IT leaders across vendor land to CIOs and CTOs across a host of industries. Intelligent systems (machine learning, artificial intelligence and automation) are the top trends in 2020. Intelligent systems will have a significant impact on increasing situational awareness (insights) and using these insights to enhance decision making – to deliver optimal outcomes for customers. One large impact on the business landscape will be the expanding role of digital twins – extending beyond the optimisation of individual assets/systems to driving improvements at the organisational level. We are introducing a reference to'Digital Twin of Operations (DTO)' – having recently built some proof of concepts. The DTO brings together inputs from a range of different systems and assets onto a common data & analytics platform; is able to process large-scale and real-time data sets to simulate millions of'what if' scenarios through cloud technologies.
AI is the new battleground, according to a report released by SophosLabs this week. The 2020 Threat Report highlights a growing battle between cybercriminals and security companies as smart automation technologies continue to evolve. Security companies are using machine learning technology to spot everything from malware to phishing email, but data scientists are figuring out ways to game the system. According to the report, researchers are conceiving new attacks to thwart the AI models used to protect modern networks… attacks which are starting to move from the academic space into attackers' toolkits. One such approach involves adapting malware and emails with extra data that make them seem benign to machine learning systems.
Artificial intelligence (AI) started as a concept decades ago. In the early days, only scientific researchers and maybe handfuls of engineers spent time thinking about it. These days, most of us hear about AI daily--a quick Google search of the term yields over 400 million results. But what does AI mean for digital marketers, and how can we use it to create compelling experiences that attract customers? Recent research from WP Engine and Dr. Chris Brauer from The University of London set out to answer that question.
A few years ago, I was invited to Minnesota Public Radio to speak about various legal issues related to cybersecurity. To my left was Bruce Schneier, a famous and respected cybersecurity researcher and prolific author. There wasn't much disagreement between us during the interview, though I recall emphasizing a bit more the FTC's cybersecurity efforts, noting that I thought they were doing a pretty good job in the current regulatory vacuum, building a de-facto common law as they went along. In his latest book, "Click Here to Kill Everybody," Schneier argues, among other things, that there is a systemic lack of security in all things computer (something he calls "Internet ", essentially an extension of IoT) and that what is needed to fix this is government intervention. Schneier's call for intervention comes in the form of a new government agency, one that has the ability to "coordinate and advise with other agencies" on the Internet .
Rest assured, Elon--we don't need to fear AI killer robots, at least for the time being. At this juncture, some experts believe artificial intelligence (AI) is the panacea for all of society's woes. Meanwhile, we all know how fearful Tesla CEO Elon Musk is of AI. To paraphrase, Musk has pretty much said that artificial intelligence could possibly result in the end of humanity as we know it. And that would be pretty bad.
We have a threefold approach. First, AI as a technological choice compared to more traditional heuristic approaches, treating it undogmatically with clear eyes, especially when the goal is at improving the performance of certain existing technologies. Typical areas where we are carrying out this work include sound and image processing, video compression, computer vision, and cognitive state prediction by measuring physiological signals. Second is the use of AI as an approach for developing a solution to a problem, for which modeling is complex. This approach is closely tied to the use of data, whether personal or corporate, with a major focus on health care.