TopThree Trends in IT
I. Introduction 3
II. Findings 3
A. Top Trends of the IT Industry 4
Internet of all Things and Cloud Computing 4
Automating knowledge work 5
Big data and Advanced Analytics 5
B. Important Emerging Issue in a trend and what it means in context to the industry 6
III. Conclusions 7
IV. References 8
TopThree Trends in IT
Inthe contemporary world, technology has become one of the most widelyused aspects in the various fields of work. It has made businesses tobe more efficient, flexible and very cost-effective while also makingit easier for customers to procure what they need. Additionally,information technology is now a primary source of knowledge,analysis, and data management and also for transportation andsecurity. Today’s workplace is, therefore, undergoing significantyet rapid changes. Employees in almost all sectors have becomeincreasingly tech-savvy, and so have students hence leading toimprovement in overall productivity (Brynjolfsson & McAfee,2014). Business technology, for instance, is an aspect that isconstantly changing hence making it difficult to come to terms withthe technological state currently. However, this decade has seenseveral trends rising above others thus proving to be the corepropelling factors behind the evolution of technology. It isimportant to realize that although these trends exist now, it is noteasy to predict what the future has in store. The previousgenerations have been moving at a slower pace, but with the internet,software and hardware advancements much are yet to come [ CITATION Dav16 l 1033 ].This paper, therefore, looks at the three most significant trendobserved in the IT sectornamely the internet of all things, large data analytics andautomation as well as the paramount emerging issue related to thepatterns.
Theresearch led to the establishment of three most prominent trends.They include internet of all things, large data and automatedanalytics, and automation. Additionally, it was discovered thattrends keep changing and there is a likelihood to shift positionsfrom time to time. Further analysis revealed that the major emergingissue among these trends is privacy/security especially regarding thevulnerability of electronic data networks (Bughin et al., 2013).Despite the presence of such disastrous emerging issues, innovationsmust still go on as the pros significantly outweigh thedisadvantages.
A.Top Trends of the IT IndustryInternetof all Things and Cloud Computing. Today’sera has awoken to the deployment of the internet in almost allspheres of life. From tiny sensors to actuators, the devices haveproliferated over a very short time. It is quite evident thatshortly, there is a possibility of linking close to 50 billionphysical entities especially with the help of universal networks. Thechanges have led to the discovery of unimagined possibilities and thetask to fine-tune previous operations. Examples of such systemsinclude global positioning devices, light sensors, temperaturesensors, and humidity and pressure sensors among many others. Suchdevices have been employed to monitor complex operations while smartnetworks facilitate observing traffic, repairs, and even electricpower grids. Likewise, the healthcare sector has seen the creation ofblood pressure control devices, sleep pattern monitors, and othersophisticated systems. What makes this element a trend is its abilityto relay information through smartphones to the relevant people in aquick yet accurate manner [ CITATION Dav16 l 1033 ].
Additionally,it is no longer sufficient to save relevant documents to a computer.On the contrary, the maximum utility is realized by placing such datain a cloud, a place where accessibility is much easier and universal.Considering that workers are always moving, they can be able toaccess necessary files without having to carry the computereverywhere. Cloud solutions have been highly embraced across varioussectors and departments including business, sales, finance, healthand many others.
Automatingknowledge work. Alot of tasks, including physical labor and transactions, have nowbecome automated. Advances in It have seen the creation of low-costcomputers, machine learning, and systems that seem to “understand”human aspects. Additionally, there is powerful productivity softwarethat can be employed in language processing, searching information,calculations, reporting and financial management. An example is asystem that is capable of pinpointing the relevance of legaldocuments among millions of other papers. Another one is IBM’sdevelopment of a research system which marked a milestone in progresstowards decision-making support for cancer (Bughin et al., 2013).
Companiesthat use IT systems intensively are most likely to experiencecultural and structural alterations due to the increasing machinesthat occupy positions previously held by human beings. This marks atime where organizations begin planning for workers with the relevanttechnical skills. Likewise, the displacement and reallocation ofemployees may need to be addressed possibly through retraining,redesigning education and redefining the work
Bigdata and Advanced Analytics.Afew years ago, the aspect of big data and analytics was not as widelyused as today. Data and analytics are currently the basis ofcompetition between and among firms. Globally, the volumes of datafrom websites, sensors, smartphones and other systems are growinglarger and faster. Likewise, the power of analytics is increasingwhereas, the price diminishes. The power and extension of informationhave further been propagated by data visualization, wireless networksand cloud computing. The abundance of data from several points hasallowed companies to customize their products and services. Forinstance, Google has developed ways in which websites can be designedbased on real-world performance suited for corporates. Likewise,marketing organizations can pool data from blogs, reports and socialmedia posts to detect and analyze shifts that affect particularproducts [ CITATION Dav16 l 1033 ].
Ontop of that, advanced software in the current IT world allowsmachines to determine patterns in massive data sets. As such, wideranges of tasks can be automated at cheaper costs. This means thatcompanies or individuals can collect a lot of data without the fearof the analysis operations since the machines can clean, detectpatterns and develop inferences concerning the data. Big data has thepotential to grow even much further despite constraints that may slowdown its progress. Since firms aim at keeping up with the trends,developing big data plans is the new priority for most organizations.
B.Important Emerging Issue in a trend and what it means in context tothe industry
Privacyand security are arguably the greatest concerns in the IT spheretoday and in the future. In a very short while, billions of peoplewill have access to features such as socializing, information sharingand transacting over the networks in place. As organizations andstates use the internet and databases to monitor their assets, paystaff, and manage data, individual moves will also be tracked. It istherefore not an easy thing to navigate through the issues related toutility and privacy. The process requires fool-proof interventionsand the assessment of trade-offs in an attempt to establish a safeenvironment. However, the value of massive loads of digitalinformation increases the likelihood of criminals, terrorists, andspies to try breaching firewalls [ CITATION Ris13 l 1033 ].This is, therefore, a call to ensure that data protection isprioritized and regularly monitored.
Specifically,the challenge of privacy and security is felt the highest in terms ofvulnerability of electronic data networks. Most of all, data must betreated with extraordinary precaution to make sure that it reachesonly the prescribed individuals. Authentication tools have beenplaced to protect data although they are not easy to use and theyalso do not conform to universal standards. Likewise, some encryptiontechnologies cannot be implemented worldwide. However, these toolscan come in handy in the control of research data environments.Efficient and productive use of security and authentication featuresrequires the collaboration of various stakeholders and standardsetting can prove to be a practical step towards the acceptance andapplication of the emerging tools.
Asthe trends mentioned above take hold day by day, leaders andtechnocrats must prepare for the possible disruptions oflong-standing business and social associations. Similarly, there isthe likelihood of the emergence of unforeseen priorities. It isnoteworthy keeping in mind that technology-oriented trends are notonly beneficial to consumers but also facilitate expansion,innovation and new ways of doing things (Bichsel & Feehan, 2014).As such, beyond the challenge of protecting data and information, theIT community must foster appropriate remedies to counter disruptionsof networks and other technological infrastructure. As if this is notenough, complicated software, systems and the many users, changes inemployee composition and programmers make networks to be vulnerableto breaches hence leading to fatal events. For quite some time now,large-scale disruptions of communication networks (Internet andtelephone) have occurred. This calls for proper equilibrium to bemaintained between access and security, and openness andvulnerability but in a way that is flexible.
IV.References Bichsel, J. & Feehan, P. . (2014). Getting your Ducks in a Row: IT Governance, Risk, and Compliance Programs in Higher Education. Lousville, CO: Educause Center for Analysis and Research.
In this article, the authors explain clearly the principles that are required for good and efficient IT governance. It also goes on further to shed more light on current risks within the information technology sector and the ways in which they can be solved.
Brynjolfsson, E. & McAfee, A. . (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. New York: Norton & Company.
The authors of this book work together to illustrate to the readers the possible future of technology. The book explains that even though today`s world is quite advanced technologically, there is need to accept and embrace the fact that even more is yet to come.
Bughin, J., Chui, M. & Manyika, J. (2013, August). Ten IT-enabled business trends for the decade ahead. McKinsey Quarterly.
The article from McKinsey Quarterly highlights the ten major trends taking place in the contemporary world. It mentions big data, cloud computing, advanced analytics, internet of all things, and even global networks. Of all these things, it doesn’t fail to mention the possible issues that come with the trend. However, it still insists on the importance of forging forward while looking for ways to eliminate the challenges.
Cearley, D. W. (2016, January 15). Top 10 Technology Trends for 2016. Retrieved from Forbes: http://www.forbes.com/sites/gartnergroup/2016/01/15/top-10-technology-trends-for-2016/#208b15e85ae9
Cearley also supplements the McKinsey quarterly with similar trends in the 21st century. He mentions the new devices, advanced user experiences, #D technology, advanced machine learning and even architecture. The article provides an in-depth illustration of technology use in detail.
Dahlstrom, E. & Brooks, C. (2014). Study of Faculty and Information Technology. Louisville,CO: EDUCAUSE Center for Analysis and Research.
This paper explains the various technologies applied in analysis and research as well as the credibility and practicability. The IT available has been shown to have great impacts especially in education.
Risk Based Security & Open Security Foundation. (2013). Data Breach QuickView: An Executive’s Guide to 2013 Data Breach Trends. Richmond, VA: Risk Based Security.
Unlike the other sources, this article specifically looks at the various breaches to data security. The corporate authors worked together to produce a report detailing the ways in which data can be breached as well as the reasons behind them. As such, it goes on to emphasize on the importance of ensuring data security through continuous risk analysis and prevention strategies.