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The federal government possesses an enormous amount of valuable public data, which should be used to improve government services and promote private sector innovation. This legislation seeks to achieve these goals by creating an expectation that – by default – government data will be open and available whenever possible. Specifically, this bill defines open data without locking in yesterday’s technology; creates standards for making federal government data available to the public; requires the federal government to use open data to improve decision making; and ensures accountability by requiring oversight during key periods of implementation.

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Picture this: Returning to your office and being able to quickly create a snapshot of your organization’s key Financial Edge information in real-time. In this session, we’ll show you how to view your organization’s financial position, including interim statements, unpaid invoices, receivables due, and a list of key projects. Plus, you’ll learn how to export your dashboard panel to an Excel® spreadsheet.

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Locating Financial Information These are the five things you’ll need to know to complete your Week 1 research: • Look at Year-over-Year (YoY) to see if stock price is improving. By how much? • How has the stock price done compared to market indices? Better or worse? • Net Income = a company’s revenue after paying expenses • Net Profit Margin = the percent of income left after expenses. • Debt to Assets Ratio = the percent of a company’s assets owed to others in the form of outstanding debts. This document will walk you through exactly what to do to get these numbers. As you find these numbers, keep in mind that financial statements report them in thousands. That means if the Net Income looks like $31,000 on the financial statement, then the company really made $31,000,000. You would show this in your research as $31 million. Here’s what the top part of the finance home page looks like: You’re not sure if your parent company is publicly traded? A quick Internet search will help you discover if, and on what stock exchange. Once you know it’s public, you’ll know you can locate all the required financials. Yahoo.com. has some of the best, most complete and most accessible financial information available in one place. Click on the Finance icon to get to “Finance Home” shown below. Locating Financial Information http://yahoo.com One you’re on the finance page, type your company into the search field at the top. The company’s “ticker symbol” should pop in. Click on the ticker symbol. The small graphic shows the day’s stock price changes. Click on the “Interactive chart” link right above it to enlarge. Make sure it shows “5y” for five years. Locating Financial Information Notice the dates at the bottom of the chart. Now you can see how the stock has performed “Year over Year” for the past five years. Locating Financial Information Next, click on the word “Compare. When the small blue box appears, choose “Nasdaq” since Apple trades on the Nasdaq stock exchange. Now you can see how Apple stock has performed in comparison to a much larger slice of the market. It’s fairly easy to do by comparing Apple’s blue line to the Nasdaq’s green line. You can also choose other indexes like the Dow, which more closely represents the New York Stock Exchange. You can even type in a direct competitor like Samsung (for phones). Locating Financial Information Now go back to the Quote Summary Page: Click on Financials: Make sure you see “Income Statement” and “Annual” (blue link on the right). On this statement you’ll discover Net Income and Net Profit Margin . Make sure you are focusing on the column showing the most recent year. • Net Income is a line item, in bold, near the bottom of the statement. • Net Profit Margin is Net Income divided by Total Revenue. Total Revenue is near the top of the statement. The closer the percentage is to zero, the smaller the profit margin. For instance, .03 is ...

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About Your Signature Assignment This signature assignment is designed to align with specific program student learning outcome(s) in your program. Program Student Learning Outcomes are broad statements that describe what students should know and be able to do upon completion of their degree. The signature assignments might be graded with an automated rubric that allows the University to collect data that can be aggregated across a location or college/school and used for program improvements. Purpose of Assignment The purpose of this assignment is for students to synthesize the concepts learned throughout the course. This assignment will provide students an opportunity to build critical thinking skills, develop businesses and organizations, and solve problems requiring data by compiling all pertinent information into one report. Assignment Steps Resources: Microsoft Excel®, Signature Assignment Databases, Signature Assignment Options, Part 3: Inferential Statistics Scenario: Upon successful completion of the MBA program, say you work in the analytics department for a consulting company. Your assignment is to analyze one of the following databases: · Manufacturing · Hospital · Consumer Food · Financial Select one of the databases based on the information in the Signature Assignment Options. Provide a 1,600-word detailed, statistical report including the following: · Explain the context of the case · Provide a research foundation for the topic · Present graphs · Explain outliers · Prepare calculations · Conduct hypotheses tests · Discuss inferences you have made from the results This assignment is broken down into four parts: · Part 1 - Preliminary Analysis · Part 2 - Examination of Descriptive Statistics · Part 3 - Examination of Inferential Statistics · Part 4 - Conclusion/Recommendations Part 1 - Preliminary Analysis (3-4 paragraphs) Generally, as a statistics consultant, you will be given a problem and data. At times, you may have to gather additional data. For this assignment, assume all the data is already gathered for you. State the objective: · What are the questions you are trying to address? Describe the population in the study clearly and in sufficient detail: · What is the sample? Discuss the types of data and variables: · Are the data quantitative or qualitative? · What are levels of measurement for the data? Part 2 - Descriptive Statistics (3-4 paragraphs) Examine the given data. Present the descriptive statistics (mean, median, mode, range, standard deviation, variance, CV, and five-number summary). Identify any outliers in the data. Present any graphs or charts you think are appropriate for the data. Note: Ideally, we want to assess the conditions of normality too. However, for the purpose of this exercise, assume data is drawn from normal populations. Part 3 - Inferential Statistics (2-3 paragraphs) Use the Part 3: Inferential Statistics document. · Create (formulate) hypotheses · Run formal hypothesis tests · Make decis.

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CT-M7-opt1#TransactionAccount DRCR1The General Fund recorded liabilities of $40,000 to other funds for services received from the Water Utility Fund during the year. Of this amount, $31,000 should be charged to Public Safety and $9,000 to General Government. At the government-wide level, you should credit Internal Payables to Business-type Activities. 2The General Fund paid $350,000 on the vouchers payable that were outstanding at the end of FY 2013.Tax anticipation notes issued by the General Fund were paid at maturity at the face amount plus interest of $10,000. For the General Fund charge Miscellaneous for the interest expenditure. At the government-wide level, debit Expenses—Interest on Tax Anticipation Notes.3The General Fund paid $350,000 on the vouchers payable that were outstanding at the end of FY 2013.4The General Fund paid the $13,000 reported as Due to Other Funds at the end of FY 2013. This amount was reported as Internal Payables to Business -type Activities at the government-wide level. Assume that it is Tax Year 2014. Complete the yellow area.Chart of Accounts for General FundCashTaxes Receivable—CurrentEstimated Uncollectible Current TaxesTaxes Receivable—DelinquentEstimated Uncollectible Delinquent TaxesInterest and Penalties Receivable on TaxesEstimated Uncollectible Interest and PenaltiesDue from Other FundsDue from State GovernmentInventory of SuppliesVouchers PayableTax Anticipation Notes PayableDue to Other FundsDue to Federal GovernmentDue to State GovernmentFund Balance—Nonspendable—Inventory of SuppliesFund Balance—Restricted—General GovernmentFund Balance—Restricted—Public SafetyFund Balance—Restricted—Public WorksFund Balance—Restricted—Health and WelfareFund Balance—Restricted—Culture and RecreationFund Balance—Committed—General GovernmentFund Balance—Committed—Public SafetyFund Balance—Committed—Public WorksFund Balance—Committed—Health and WelfareFund Balance—Committed—Culture and RecreationFund Balance—Assigned—General GovernmentFund Balance—Assigned—Public SafetyFund Balance—Assigned—Public WorksFund Balance—Assigned—Health and WelfareFund Balance—Assigned—Culture and RecreationFund Balance—UnassignedBudgetary Fund BalanceEncumbrances OutstandingEstimated RevenuesRevenuesAppropriationsEstimated Other Financing Uses—Interfund Transfers OutExpendituresOther Financing Uses—Interfund Transfers Out Unit 4 Discussion 1 (Due Immediately) $10 Third-Party Reimbursement – 250 Words Resources · Discussion Participation Scoring Guide. · APA Style and Format. Discuss the history of third-party reimbursement. Describe the most common reimbursement methodologies used in the past, and then discuss the methodologies that are most common today. Explain the long-term implications for the health care provider, the payer, and the patient, as the method for reimbursement continues to evolve. Remember to use citations and references as appropriate. Your post must follow APA sixth edition style and formatting guidelines. An iGuid.

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

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In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.

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