Agility, agility, agility! Whatever your role in the agile process and whatever you need to do, Agile Business Process Development provides everything you need from an agile process perspective.
Read more ...In the digital era, AI has taken center stage in many areas as a means of helping companies gain insights from data. It is already being used to deliver more personalized services, such as recommendations and assistance during travel. The best way to leverage AI is through collaboration between business analysts and AI experts — it’s important to understand how AI works to ensure that your team has a holistic view of the technology you are using. Artificial intelligence has the potential to transform the way business is done and benefit individuals, communities and society as a whole. As such, it is of paramount importance that businesses take steps to protect their data and avoid reputational fallout due to public exposure of data breaches. Security teams must thus be equipped with the tools to manage AI risk throughout their organization by taking proactive steps towards securing data, monitoring behavior, threat prevention and mitigation as well as knowing when to involve external parties during an incident. As an increase in the use of AI and advanced technology continues, so does our need for a seamless integration between man and machine. There are many ways in which AI can be integrated into our lives, including the development of more advanced machines that act as assistants to humans. One way is to use machine learning, a type of AI that can optimize human performance by analyzing data and improving output through analysis.
Read more ...Statistics is a unique branch of Mathematics which deals with the collection, calculation and interpretation of numerical data. In Statistics, tests of significance are the method used to reach a conclusion to reject or support the claims based on sample data. The statistics are well known for research based on statistical surveys. During a statistical process, we come across certain terms such as "significance", "p-value" and others. Statistical tests are used to check whether the result of a study has the desired level of significance. This is done by using a statistical test that is appropriate for your situation. For example, if you’re testing whether an abstract treatment alone works better than a different treatment (control) then you would use an independent-groups design with an independent variable and dependent variable. The key point is that it should be random assignment so neither condition can have an impact on one of the other. This could, for example, be by chance or because it was not known at the outset in advance how many people would respond well or badly. If you wanted to compare two treatments but didn't know who got each treatment beforehand so it was arbitrary who got which treatment this wouldn't fit into this model as there was no way to assign them randomly (only chance). If you had large numbers of subjects then small differences in results could mean something statistically significant had been achieved even if no patient would notice any difference between treatments as there were enough subjects doing both and only tiny differences between patients are noticed when large numbers are involved from tiny changes
Read more ...The healthcare industry is in desperate need of new staff with the ability to analyze data. As a result of growing popularity and demand for this skill, many companies are on the lookout for qualified candidates. Hiring managers want people who understand this concept and are equipped to carry out its application in the real world—which means using it for industry-relevant purposes. Data analytics is the process of utilizing data to answer questions that were not previously thought possible, improve performance and increase efficiency. In healthcare, data analytics can reduce the cost of treatment by predicting which patients will respond well to a treatment based on past experiences, aiding in predicting epidemic outbreaks and leading to better quality of life for patients. Data analytics can also improve care delivery and outcomes by identifying patterns that are causing problems in the system. Data professionals who process and utilize large volumes of medical data are often referred to as business intelligence developers. They typically work in a variety of different roles, including as senior BI or analytics leaders. A business intelligence analyst or developer typically works within an organization’s data warehouse, but may also spend time working on projects that require skill sets ranging from consulting to technical support.
Read more ...As a SME owner, you know that information is power. However, gathering relevant and accurate data can be overwhelming, time-consuming and costly. That's where in-house research comes in – a cost-effective way to generate insights into your industry or target audience without breaking the bank. In this article, we'll explore the benefits of conducting research in-house, how to do it effectively and when it's time to consider outsourcing.
Read more ...You know that content marketing isn't a luxury or an aberration, but rather a necessity to drive sustainable traffic to your blog. The best way to get people interested in your content is not just to write crap; it’s important to focus on the message, create a story line, and develop characters that your readers can relate to.
Read more ...There are a number of marketing strategies that can help the small entrepreneurs in their business activities. Marketing strategies can be divided into two major categories – internal and external marketing strategies. Internal marketing strategies are those that a company uses to increase sales, reduce costs, minimize risk and influence other employees to perform well. External marketing strategies focus on attracting potential customers through advertising or communication with companies or individuals outside of your organization.
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