Artificial intelligence (AI)
Each time we consider artificial intelligence, we still tend to focus on Ex Machina and The Terminator and our fear that AI and robots could someday erase the whole human race. Even tech icons like Elon Musk and Bill Gates sometimes push ridiculous tales and awful cautions.
AI biggest problem today is not that it is too smart. It’s too elementary to be much use in several situations. One of the little secrets about AI and machine learning is that they are poor at dealing with uncertainty, gray areas, and understanding the context of data. Hence many companies are having to employ armies of human beings to do the data sorting, data cleansing, and data preparation that is used to feed the algorithms primary data so they can perform their duty.
The market for AI solutions is predicted to reach the US $47 billion by 2020 because it is all about automation business process automation, prescriptive analytics, and driving radical efficiency. AI requires massive data to do extensive pattern analysis, and big data requires AI to process today’s enormous volume of bytes. That helps considers the fact that AI is still very nascent as a business solution.
The topic of cyber security is often discussed in tech news. Be it the latest breach of a government agency, company or a new vulnerability in a piece or popular software, or a lax security practice from a company that ought to have been better informed, there are times every day where we cannot but shake our heads at the sorry state of cybersecurity.
The concern is that the technology industry for the past several decades has focused so much on innovation that security has too often been an addition. That has however improved in the last several years, and several companies are now into the design of products that are more design secured, the main target of attackers is not usually the current and most excellent products that are outdated that make easy targets. It is why the problem is likely to get worse before becoming better. There is still a considerable amount of cybersecurity debt to be paid
That is the reason it is incumbent on everyone- enterprises, technology vendors, and individuals to take a lot more severe cybersecurity. The tech revolution is entrenching itself in all part of society. Hence cybersecurity is no more just a matter of not convinced or loss of money. It is reaching the level of public safety risks, and national security, and since attackers can make use of all kinds of unprotected systems to launch their attacks, it places everyone under the responsibility of playing their role.
Internet of Things
In its history, the tech revolution has been about outwardly apparent things like digital cameras, smartphones, and computers. But today, it is about technology taking part in everything ranging from home appliances to cars to drones, to various stop lights to security cameras to whole cities. That is known as the Internet of Things.
It brings new lots of new capabilities to several different objects but is basically about sensors collecting data, which permits us to measure and estimate things in ways that were initially not possible. Our ability to measure and monitor things could help us in managing them. We can discover inefficiencies that were initially unknown to us and optimize them away.
There are presently over 15 billion IoT devices globally, and this figure is expected to rise above 30 billion by 2020 and 75 billion by 2025. The investment in IoT is predicted to increase to the US $1.3 trillion by 2020. It is where the most money is being spent in tech in the years immediately ahead.
Digital transformation is the buzz phrase that is arguably common in businesses and the tech industry more than any other presently. However, while the other three items on this list are all technologies, this is not.
The enterprise has been discussing on better IT-business alignment for decades, which is evidence that it never quite sunk in. Digital transformation has finally become the catalyst and the rallying cry that is ensuring it happens. Leaders in IT are using it to lead with the business impact of tech projects in a manner that is understandable by everyone in the organization.
For example, previously a CIO may go to the council of leaders in an establishment and request for a new set of servers for $1.5 million that was going to be vital in enabling new real-time analytics capabilities in the company. Now, that same CIO fields a $1.5 million digital transformation project that will save $2 million in expenses by cutting a part of the business and generate an extra $1 million in revenue in another part of the company by increasing the order process.