Free Money for Everyone Sounds Great, But Finland Proves Basic Income is a Bust

Universal basic income experiments and other plans that seek to distribute free money seem wonderful considering so many people struggle to make ends meet because of their limited incomes. In the U.S., many legislators have called for federal and or/state governments to trial these economic policies. One recent proposal actually calls for people to receive money from the government even if they are unwilling to work……….

Source: Free Money for Everyone Sounds Great, But Finland Proves Basic Income is a Bust

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The Business Case for Positive Company Culture

Carin Taylor, chief diversity officer at Workday, shared some of the results during a Business Leader Forum at the most recent Workday Rising. Nearly 40 percent of all respondents indicated that unfairness or mistreatment played a major role in their decision to leave a company; 30 percent of women of color felt they had been passed up for a promotion; and a large percentage of Asian and Caucasian men and women felt they were treated unfairly by leadership and management…………

Source: The Business Case for Positive Company Culture

How Bloomingdale’s Is Reinventing The Beauty Shopping Experience

Department stores are in the battle for their lives. Classed in the category of general merchandise stores in Census Department’s Monthly Retail Trade Survey, department stores, excluding discounters, shrunk 2.1% year-over-year through October 2018, as compared to the entire general merchandise category, which posted healthy 3.5% growth. In the last ten years, department stores have experienced a massive 30% drop in sales…….

Source: How Bloomingdale’s Is Reinventing The Beauty Shopping Experience

11 Websites That Will Make You Smarter About Money

Not everyone has a financial adviser, and not everyone has the time to read a personal finance book. Luckily, there’s the internet. We’ve made learning about money easier for you by compiling a list of some of our go-to websites for money advice……..

Source: 11 Websites That Will Make You Smarter About Money

How Two Millennial Women Made Over $130,000 While Traveling the World Full-Time

 

Last year, I left my corporate life in New York City behind in a vow to give myself one year to design my dream job. Shortly thereafter, I took off on a 9-month-long social experiment, in which I would circumnavigate the globe by couch-surfing exclusively through my social network. Seventeen countries, four continents, and over a hundred encounters later, I have learned that I am not alone in my quest to earn a living while traveling the world: there are so many people out there right now who are making it work.

Source: How Two Millennial Women Made Over $130,000 While Traveling the World Full-Time

Reclusive Millionaire Warns: “Get Out of Cash Now”

Something strange is going on in the financial system. And according to The Financial Times, it’s about to send a massive flood of cash into the pockets of the most prepared Americans. What exactly is going on and what does it mean for your money? I recently met up with former hedge fund manager, Dr. Steve Sjuggerud — one of the most widely-followed financial analysts in the world. Today, he shuns the spotlight and lives on a remote island off the Florida coast. And he’s built a new life… and a substantial fortune… by sharing a series of eerie predictions. Many of which have proven correct…….

Source: Investing Outlook

New Survey Shows China Not Dead Yet

China’s services sector growth rose for the second month in a row and hit its highest level since June 2018 , according to the Caixin China General Services Business Activity Index, released on Friday. Caixin said that increased foreign demand for Made in China goods and improving business confidence helped. The Index hit 53.9 in December from 53.8 in November and 50.8 in October. While the number is generally flat from November, it is much higher than the third-quarter average and comes at a time when trade tensions remain high.

Source: New Survey Shows China Not Dead Yet

Older Workers Need Further Labor Market Improvements

Older workers in particular need the labor market to continue its growth streak. Employers added 312,000 new jobs in December 2018, according to the Bureau of Labor Statistics. This is welcome news, but the labor market needs to continue improving, so that older workers will see real economic security. Additional job gains could make it easier for unemployed older workers to find a new job. And continued job market growth could further shrink inequalities in job market outcomes for older workers, for instance, by race and ethnicity…..

Source: Older Workers Need Further Labor Market Improvements

5 Savvy Ways To Invest $10,000 In 2019

What would you do if you suddenly had $10,000 in cash at your disposal? Would you splurge for a trip to some far-flung corner of the world? Trade up for a nicer vehicle? Buy new furniture and a hot tub for your backyard deck? Those ideas might be the first that come to mind, but they may not be ones you will feel proud of ten or twenty years from now. Unless you have high interest debt you could pay off, your best bet with any “found money” is always going to be investing it for the long haul…..

Source: 5 Savvy Ways To Invest $10,000 In 2019

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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