Tag: Business Success

You’d Be Better Off Just Blowing Your Money: Why Retirement Planning Is Doomed

Between interest rates and poor financial planning, the comfy retirement you may have dreamed of is most likely to remain a dream.

I know this is a bold, and possibly controversial title, but retirement planning is broken and leaving people broke.

The destructive narrative is, “work hard, save money in a retirement plan, wait and it will all work out in the long run.”

The reality is, without the ingredients of responsibility and accountability, there is no easy solution for retirement. Meaning, if we just work hard and set money aside, we are putting money into a market we have no control over.

The institutions are winning though. Taking fees along the way. Convincing us to separate ourselves from our hard earned money, encouraging us to take it out of the business we know and put it into investments we don’t.

Low interest rates are great for those borrowing money, but terrible for those wanting to take income from a retirement plan. Those low interest rates are not providing enough cash flow, so that even if you’re a millionaire on paper, you still may be living like a pauper. For example, if you could find 4% interest in a fixed income account, that is only 40,000 dollars a year per million in your retirement account. Oh, and that income is taxable if it isn’t coming from a Roth IRA.

The concept of retirement has robbed the public of the responsibility and accountability required with personal finance. It has become too easy to hand money over to so-called experts due to the busyness of business, kids, hobbies, and other obligations competing for our time.

The reality is, we have more opportunity for time now than ever. For thousands of years people were limited and constrained with the monumental duty of providing for their family by having to hunt, farm or provide shelter with less technology, efficiency and access to resources. We have become addicted to saying yes to things less important than financial stability and freedom…..

Source: https://www.forbes.com/sites/garrettgunderson/2019/07/16/youd-be-better-off-just-blowing-your-money-why-retirement-planning-is-doomed/#18c0d351302d

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DoorDash Is Now Worth Nearly As Much As Grubhub After $400 Million Funding Infusion

Investor appetite in food delivery companies is growing, notwithstanding a rash of customer complaints about how these startups pay contract workers. On Thursday, DoorDash announced it had raised another $400 million in a Series F funding round led by Temasek and Dragoneer Investment Group. The cash infusion brings DoorDash’s total capital raised to $1.4 billion, of which $978 million came from funding rounds in the last year.

Source: https://www.forbes.com/sites/bizcarson/2019/02/21/doordash-funding-400-million-grubhub-7-billion-valuation/#3df12b267e10

U.S. Stocks End a Dismal, Volatile Year on a Bright Note — TIME

Wall Street closed out a dismal, turbulent year for stocks on a bright note Monday, but still finished 2018 with the worst showing in a decade.After setting a series of records through the late summer and early fall, major U.S. indexes fell sharply after early October, leaving them all in the red for the year.…

via U.S. Stocks End a Dismal, Volatile Year on a Bright Note — TIME

Chinese Internet Court Uses Blockchain To Combat Online Plagiarism

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How To Extract Business Value From Data Science: It’s All About The Teamwork – Jack Soat

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To make an impact at the enterprise level, the data science group can’t work in isolation, said Ian Swanson, Oracle vice president of machine learning and artificial intelligence product development, during a presentation at the recent Oracle OpenWorld conference. “In order to do data science right, it has to be a team sport,” said Swanson, former CEO of DataScience.com, which Oracle acquired earlier this year.

Team Members

One of the data science group’s most valuable teammates is the IT organization, for multiple reasons, he said. The DS group relies on IT to manage and secure the data it uses; support the needed analytics tools; and deliver ready access to scalable bandwidth, compute, and storage capacity to build and train production-oriented analytic models.

Another important ally is the application development team. Developers must incorporate the models DS builds into their “ecosystem” as regular features among the many they use to build production applications, Swanson said.

That points to a significant attribute of production-oriented models: reusability. An ecommerce recommendation engine, for instance, might be reused for forecasting an item’s revenue stream, he said. A key performance indicator for one technology company Swanson worked with on a DS project was “how often that model was used by other parts of the business,” he said.

Line-of-business managers are a valuable constituency as well, because they’re tasked with performing the actions—and getting the results—from applications that use analytic models. An underestimated advantage line-of-business managers bring to the analytics model-building process, Swanson said, is their domain expertise—their experiences working with customers.

As for the top brass, they don’t need “to be involved in every step of the model, but they need to understand how it will be used, the opportunities it offers, the things it can achieve,” Swanson said. “If you’re not involving the top, if they’re not part of the team, data science is not affecting the heart of the business.”

Awash in Tools

Because data science is the new darling of the technology marketplace, the number and variety of analytics tools are staggering. Swanson said he worked with a company whose DS team had accumulated 682 different tools. “How is IT managing 682 different tools?” he wondered.

Still, building predictive analytics models is complicated, requiring a “full stack” of tools, libraries, and languages—preferably open source, which encourages standards and self-service, Swanson said. As DS matures, its practitioners will have to comply with enterprise programming standards, in particular version control. “If you’re writing production code, you should be using some sort of system that encourages working together to follow best engineering practices, such as checking in code and making sure its reproducible,” he said.

But enterprise data science goes beyond programming. “It requires a platform that removes barriers to production, improves collaboration, manages the tool sprawl, provides self-service access to data, and helps with model planning and retention,” Swanson said.

Reliable Outputs

Calling data scientists “the architects and engineers of digital transformation,” Swanson noted that there are DS use cases “in every industry and function,” providing the means to generate “new business channels and new business models.” But achieving those goals requires the will—and a strategy—for extending the work data scientists can do as widely across the enterprise as resources will allow.

“It’s about creating a process that delivers reliable outputs to drive business outcomes,” Swanson said. “You need to put it into action—that’s real DS.”

 

 

 

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Here’s How Bloomberg Should Have Spent His $1.8B For Economic Mobility – Allison Dulin Salisbury

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As soon as news hit of Michael Bloomberg’s latest donation to Johns Hopkins University, the praise—and the critiques—started rolling in. If you missed it, the billionaire and former New York City mayor announced last week that he would be giving $1.8 billion to his alma mater to increase need-based financial aid for low- and middle-income students. Bloomberg’s goal, he wrote in The New York Times, was that “no qualified high school student should ever be barred entrance to a college based on his or her family’s bank account.” That’s a well-meaning goal, but it misses the mark on promoting economic mobility more broadly, his ultimate aim, and the purported aim of much of education philanthropy………….

 

 

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The Philippines Per Capita GDP Has Reached An All-Time High Under Duterte – Panos Mourdoukoutas

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Philippines President Rodrigo Duterte has a terrible human rights record. But the average Filipino is doing better under Duterte. When it comes to per-capita gross domestic product (GDP), that is. That’s a measure of the total output of a country divided by the number of people in that country. The Philippines’ per-capita GDP was last recorded at an all-time high of 2,891.36 U.S. dollars in 2017, according to Tradingeconomics.com. That’s well above the average of 1,627.98 USD for the period 1960-2017. Also, Filipinos are doing better under Duterte when per-capita GDP is adjusted by purchasing power parity (PPP). That measure, too, reached a record 7,599.19 U.S. dollars in 2017, well above the average of 4969.71 USD……………..

 

 

 

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The Scariest Economic Chart In The World Right Now May Come From China – Pedro Nicolaci da Costa

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Move over, U.S. economy: The real action in global forecasting these days lies in figuring out what is happening in the world’s second largest economic powerhouse, China.Wall Street is increasingly worried about slowing growth in foreign economies despite strong economic numbers at home. Federal Reserve Chairman Jerome Powell, too, recently identified weakening overseas economies as a major risk to the U.S. outlook. And these days, when investors say overseas, they really just mean China. After all, other emerging economies are viewed as too small individually for potential domestic crises to have large international spillovers…………….

 

 

 

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