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This assignment consists of two (2) sections: a written paper and a PowerPoint presentation. You must submit both sections as separate files for the completion of this assignment. Label each file name according to the section of the assignment it is written for. In the day-to-day operations of information security, security professionals often focus the majority of their time dealing with employee access issues, implementing security methods and measures, and other day-to-day tasks. They often neglect legal issues that affect information security. As a result, organizations often violate security-related regulations and often have to pay heavy fines for their non-compliance. Thus, as a Chief Information Officer in a government agency, you realize the need to educate for senior leadership on some of the primary regulatory requirements, and you realize the need to ensure that the employees in the agency are aware of these regulatory requirements as well. Section 1: Written Paper 1. Write a six to eight (6-8) page paper in which you: a. Provide an overview that will be delivered to senior management of regulatory requirements the agency needs to be aware of, including: i. FISMA ii. Sarbanes-Oxley Act iii. Gramm-Leach-Bliley Act iv. PCI DSS v. HIPAA vi. Intellectual Property Law b. Describe the security methods and controls that need to be implemented in order to ensure compliance with these standards and regulatory requirements. c. Describe the guidance provided by the Department of Health and Human Services, the National Institute of Standards and Technology (NIST), and other agencies for ensuring compliance with these standards and regulatory requirements. d. Use at least five (5) quality resources in this assignment. Note: Wikipedia and similar Websites do not qualify as quality resources.

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Buy Facebook Ads Accounts Introduction If you are looking for the best buy Facebook ads accounts, then you can contact us. We have helped many businesses get the most powerful Facebook ad accounts at affordable prices. How to buy Facebook ads accounts You can buy Facebook ad accounts in three ways: You can buy a business manager account, which will allow you to manage all of your campaigns from one place. This is especially useful if you have more than one person running campaigns for different clients. You can also get an individual ad account from Facebook and use it for yourself or your company's own purposes. This option is good if there are no other people involved with the campaign (like when buying from the community). Finally, if all else fails-and it usually does-then there's always verification! Verification allows advertisers like yourself access to certain features that aren't available otherwise, such as being able to delete or change their own status updates/videos after they've been shared publicly by someone else without having any control over them beforehand.* What is a Facebook ad account? There are two types of Facebook advertising accounts: personal and business. A personal account is a profile that you use to promote something or someone else's business. For example, if you own a restaurant and want to advertise in your community, you would create a personal Facebook page so that people can find out about it if they were looking for places to eat near their homes or offices. You can also create an individual profile for yourself as well as groups on Facebook where other people can join up with their friends or colleagues who work at the same company (like Salesforce). These kinds of social media marketing strategies are fairly typical among businesses today because they offer great opportunities for communication between employees within large enterprises such as banks, airlines, or hospitals - all things which require teamwo

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The shift away from teaching for the rote memorisation of prescribed methods requires teachers to rethink their approach to the discipline. With this new pedagogy comes a need to understand the processes of mathematical thinking in ways not previously required. When we require our students to be able to reason and problem-solve through unique challenges we also require our teachers to have an understanding of the mathematical moves that their learners are likely to call upon.

Home > Data Science > How to learn Data Science in 2021? Data Science (DS) is a great, promising, and most demanding career. But are you confused about being a beginner and wanna know the Right Way to Learn DS? Technology is more into digitisation and due to this extensive transformation, huge data is expected to be produced in the coming future. To make use of such big data we need data scientists who can layout, design and filter the data in an organized way. All things considered, with a huge number of options available choosing the correct curriculum program and admission to the right institute is important. Besides all this, the course and institute to be suitable for your requirement are extremely difficult. While online courses are an incredible path for some to upskill, good opportunities from top colleges and universities are the platform for data scientists to test their knowledge in their field. Here are the five essential guidelines to turn into an expert in Data Science: Get a Data Science certificate or similar degree To get an opportunity as an entry-level data researcher, one would require a four-year certification in DS, math, insights and software engineering. Degrees can likewise give temporary job openings. All things considered if you have just secured a 4 yr certification in a different background through online e-courses or basic boot camps and workshops. The focus should be given to mastering the skills required for DS. Take a look at this course from AntWak on Data Engineering delivered by top global experts. Take comprehensive courses and devote time to learning You can become a top-class data researcher by taking a full course at a time. It will be the skill and instruments needed to turn into a data researcher, many critical projects and coaching help. A variety of such courses are available online that offer top to bottom analysis of subjects, for example, data scratching, AI, big data analysis and many more. To begin your learning

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Product Management could be your key to move out of a stagnating career. At times many of us may feel that we are stuck in a profession, in a job role, or in an organization that is not for us. It may feel like it is not our true calling. Well, then why waste time? Make a career switch into a career of your choice. Muster the courage and make the move. If Product Management is your likely choice, then this is the right blog for you. If not, then why not explore what is it like to be a PM! (Product Manager not Prime Minister) So, what would you be doing as a PM? Wearing multiple hats. As a Product Manager, you have to wear different hats at different times. Be a Psychologist - Embark upon a journey to empathize and understand consumer needs and challenges Be a Consumer Behaviour expert - Leave no stone unturned to mine latent consumer insights Be a Marketeer - Use frameworks to gauge the perfect product-market fit Be a Diplomat - Negotiate with and influence relevant stakeholders to obtain desired results Be an Architect and an Interior Designer - Build and design products that address consumer pain-points effectively and transpires into a practical and scalable solution Be a co-ordinator - Guide and Direct cross-functional teams to deliver timely results in sync with the overarching objective Be a crisis manager - Diagnose the situation, identify hurdles and be agile in resolving them while the product is being tested in the market Be a Relationship Manager - The duty of a PM does not end as soon as the product is launched. It extends further to keep creating and nurturing a delightful experience for the customer. Now, you're aware of the roles you are likely to perform. What about the skills required to fulfil them efficiently? Well, most experienced PMs emphasize on soft skills being the differentiator between a good and a great PM. Let's have a look at the most essential hard and soft skills required to be a product manager: Com

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Nairobi 2010 Conference Reoprt  Climate Change and Natural Resource Use in Eastern Africa: Impacts, Adaptation and Mitigation Report of the 3rd Scientific Conference of the Ecological Society for Eastern Africa (ESEA) and co-hosted with the Pan African Climate Justice Alliance (PACJA) at Multimedia University College, Nairobi, 19 - 21 May 2010 By Nicholas Oguge, Caroline Lumosi, Teddy Odindo, Joseph Ngondi and Philista Malaki October 4, 2010 Summary While the Earth's climate has changed throughout history, the current warming trend has been of particular concern because most of it is human-induced and proceeding at a rate that is unprecedented.  One of the greatest concerns of this global warming is climate variability and change.  The risks associated with climate change add to development challenges such as food and water insecurity. Although climate change is only one of the many drivers negatively affecting biodiversity and ecosystem services, it certainly exacerbates the other factors such as land degradation and unsustainable natural resource use. There is general concern on the accelerating deterioration of the human environment and natural resources. This would widen poverty levels confronting eastern African countries and threaten gains made towards achieving the Millennium Development Goals. Thus, the Ecological Society for Eastern African organised its 3rd annual scientific conference with a theme addressing this global challenge.  The idea was to bring together researchers, policy makers and the general public together to discuss the climate change phenomena, its impacts, mitigation strategies and adaptation measures with regard to natural resource use in Eastern Africa. In order to address above issues and to reach out to a wider audience, we designed the conference strategically on three tiers:   1. Plenary talks: to provide policy information and direction, science on climate change, ecological and socio-economic effects, how to commun

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Here's the step by step guide for Data Science Interview Process The Interview process begins directly from the point you begin investigating the various job positions that allure you. Furthermore, it goes up to the stage of in-person (face to face) interviews. Remember that this is a crucial interview procedure. You probably won't need to experience every single step in your interview procedure. Comprehend and follow the Different Roles, Skills and Interviews Update your Resume and Start Applying! Telephonic Screening Clearing the Assignments In-Person Interaction(s) Post-Interview Steps The above-mentioned steps will be helpful all through your Interview preparation! Know about different Roles, Skills and Interviews in Data Science The main thing you need to comprehend is that there are many jobs in the data science environment. An average data science project has a life cycle. A data scientist is just one part of an effective data science project. Let's check out a quick run-through of different data Scientist job roles. Data Scientist Business Analyst Data Analyst Data Visualizer Analyst Data Science Manager Data Architect AI Engineer PC Vision Engineer You need to have great correspondence and critical thinking skills. You need not know Python and technicals skills. A data architect will probably be tested on his/her programming skills. Get prepared as per the company's expectations. Prepare for the interviews- Create your Digital presence Over 80% of employers we addressed revealed that they check an applicant's LinkedIn profile. Recruiters need to crosscheck and assure the claims made in the resume are genuine or not. You ought to have a LinkedIn profile. It ought to be updated and enhanced by the role(s) you're applying for. Make a GitHub account. Writing computer programs is a crucial task in the data science job role. Transferring your code and ventures to GitHub helps the recruiters see your work directly. Regularly

Most business Entrepreneurs and Data Scientists can disclose how to triumph with (AI) and ML, yet rarely anyone can share to fail with such technologies. While the innovation is solid and publicised   there is a lot of ways to fall flat with AI. Let's talk about nine innovative approaches to censure any AI startup to bankruptcy. #1 Cut R&D expenses AI requires heavy expenditure in cutting-edge research, experimentation, advanced computing, and computing infrastructure. Any AI startup willing to create helpful AI innovations needs to spend a lot of money on innovative work (R&D). To scale down expenses in this area, cutting R&D expenses will rapidly make way to failure. #2 Technology Bubble operation Technology is confined to the social condition in which it is created. Technology never sustains itself but other various important aspects. AI has failed a few times since the commencement of computer science not for technical reasons but as a result of an absence of social need and interest at that point. Experience has taught that AI advancements can't be made in isolation from the social conditions that make them important (like medical care, Health analysis, and money). It is quite crucial to first engineer people to persuade them. Before designing the actual technology, visionaries and business visionaries convince them to suspend their questions and embrace the novelty and utility of disruptive ideas. Working in a bubble and overlooking the current necessities of society is a certain way to failure. #3 Prioritize Technology over business technique Only technology isn't enough to make progress, regardless of how strong it is. In the end, Tech startups also need a great strategy to succeed in being a business entity. Any startup that comes up short on a technique for recognizing objective business sectors, generating sales, and viably allotting and spending resources, yet gives need only to their technical resources, is destined to fail rapidly.

How are current socio technological changes impacting the future of work? New technology, global trends, and the effect of Covid-19 on the job force have fundamentally altered the way firms operate and the kinds of expertise their workers require to compete in this emerging period of employment. Despite the fact that we cannot foresee what the future has in store, certain adjustments are inevitable. You must brace for such developments as a forward-thinking professional or aspirant. Gig Economy Gig Economy: The term 'gig' refers to a job model in which contractors are recruited and paid on a project-by-project basis. Gone are the days of doing a strap task from 9 a.m. to 5 p.m. The gig economy helps people to save multiple hours per day to make the most of the one and only scarce asset that they have time. Employee Well-Being Employee Well-Being is the topmost priority: While more people are operating remotely for extended periods of time, organisations can concentrate on ways to improve relationships and reduce mental tension. As organizations adapt, building mentally healthy workplaces will become even more relevant and complex. Also, working remotely and loneliness could have a detrimental impact on workers' mental wellbeing. Employee morale will suffer if they are not in good health. Several anal believe that employers will put a stronger emphasis on mental wellbeing and employee welfare. Intuitive and Appropriate Strategy Intuitive and Appropriate Strategy: Although meetings through online platforms like Zoom and Google Meet have been a constant throughout the pandemic but this restricted mode of communication the essence of being connected to colleagues and friends has indeed been cruelly exposed. As a result, software companies often rose to the situation, implementing innovative methods to ensure workers involved when working remotely. Nvidia, for example, has prioritized human speech over the context of video calls, resulting in substantial data s

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