Technology In The World

More than $ 1.3 trillion in IT spending will be driven directly or indirectly by the transfer to the cloud in 2022, according to Gartner. It seems this is an important transition for traditional infrastructure vendors, as more and more businesses are switching to Cloud.  According to a new study by Gartner, 28 percent of enterprise IT budgets will move to Cloud by 2022, up from 10 percent from 2018, The budget for cloud services will grow faster than traditional, non-cloud solutions.  However, these traditional projects will still account for 72% of revenue for the enterprise IT market by 2022. Prior to 2018, the shift to Cloud took place primarily for application software, particularly in customer management (CRM).  According to a Gartner spokesman, "CRM is currently exploding when the budget for the cloud is higher than traditional software.  This trend will continue and expand to include application software, including office suites, content services, and collaboration

The explosion of data from the Internet and the need to exploit un-structured data in addition to the in-house data have set the stage for hard-to-find mathematical data storage, processing and management.  So, Big Data was born. Big Data is a term used to refer to a very large set of data and is so complex that traditional data processing tools and applications can not handle it.  But Data you know is big enough to handle Big Data.  And are you sure that you are using the smart data wisely, not "using a knife to slice bananas"? Ask questions, ask questions around the problems, algorithms to be applied, career opportunities will be answered by experts through the event "STARTING STUDIES  U BIGDATA FROM HERE AND HOW" Quickly register today!

IBM has launched a software service that scans AI systems as they work to detect bias and provides explanations for decisions made by AI. The new IBM Cloud-based reliability and transparency model works with models built from a variety of machine learning frameworks and AI-including IBM's own Watson technology, as well as Tensorflow, SparkML, AWS SageMaker. and AzureML. SaaS (fully automated) helps explain decision making and whether AI is biased - so when decisions are made - it will be possible to identify possible outcomes. not fair. It will also automatically suggest data to add to the model to minimize any deviations that have been detected. The explanatory power of AI decisions includes identifying the factors that influence decision-making;  confidence in the proposal;  and the factors behind that confidence. IBM also said that the software keeps track of the accuracy, performance and fairness of the AI ​​model, along with the pedigree of the AI ​​system - mean

What is Software Architect? Before going into specific SA is what we see the definition of SA: A software architect is a software expert who makes high-level design choices and dictates technical standards, including software coding standards, tools, and platforms. The leading expert is referred to as the chief architect. (Source: Wikipedia: Software Architect) Software Architect (SA) is a professor who is responsible for designing the framework for the system, how to divide and interact between components, write architecture overview papers, coding convention, and direction. Let developers develop detailed designs for each function.  So if you work with 1 SA well, when adding new features, the complexity of the software will not increase much. What is the role of Software Architect? To the necessary skills of an SA, we must first understand what their job is.  It includes the following: technology decisions and development platforms Generate architectural docum

In a world increasingly dominated by robots, artificial intelligence and virtual reality, you will need to firmly grasp the skills that employers are looking for. Here are the top 10 skills that technology companies most "aspire" by 2020: Flexible thinking This involves creativity, logical reasoning, and problem identification.  In other words, it involves flexible communication.  Employers want to know you have the ability to think seriously, to listen deeply and to be able to communicate well. Negotiation skills This has a particularly high demand for such things as computing and mathematics, such as data analysis and software development.  It will also be very important in art and design. Teamwork spirit This means actively seeking ways to help others.  You support people in your team, superiors and everyone in your industry Ability to evaluate and make decisions In the Bigdata era there will be greater demand for those who can analyze and use it