Tax evasion is a growing concern in the United States. As politicians like Bernie Sanders and Alexandria Ocasio-Cortez try to encourage more people to demand scaling the size of the government, the risk of tax evasion could rise as more people try to abstain from paying higher taxes. The IRS is already under pressure to deal with tax cheats.
The IRS has started investing in predictive analytics tools to minimize the risk of tax fraud.
Over the past few weeks of client interactions, it's becoming more common for Chief Data Officers (CDOs) to “own” the data lake initiative in enterprises. The data warehouse and mart...
For the past many decades of hope and promise, 2018 may finally be the year when AI will gain meaningful traction and use within the Fortune 1000 companies. A survey conducted by New Vantage Partners represented around 97.2% of the executives who were willing to invest in launching and facilitating AI and Big Data initiatives. Also, it was discovered with this survey that all the AI and Big Data ventures are intertwined.
In this article, we are going to discuss about why to choose Python for data science. We’ll introduce PixieDust, an open source library, that focuses on three simple goals:
Democratize data science by lowering the barrier to entry for non-data scientists
Increase collaboration between developers and data scientists
Make it easier to operationalize data science analytics
Why Choose Python?
Like many developers, when it came to building data-intensive projects, using Python wasn’t my first choice.
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Artificial intelligence (AI) isn't a part of the future of technology. AI is the future of technology.See the rest of the story at Business InsiderSee Also:How insurtechs are tackling the notoriously tricky area of life insuranceHow Gen Z and millennials watch StoriesFacebook might be partnering with major US banks
Yesterday Oracle announced a new online transaction processing database service, finally bringing its key database technology into the cloud. The company, which has been around for over four decades made its mark selling databases to the biggest companies in the world, but as the world has changed, large enterprise customers have been moving increasingly to the cloud. These autonomous database products could mark Oracle’s best hope for cloud success.
Depreciation occurs when the value of business assets goes down, often due to wear and tear, but for other reasons, too. Some people quickly assume that because depreciation is an inevitable part of owning things used for a company, there’s no use in trying to minimize it – especially when predictive analytics help with depreciation.
While it’s not entirely preventable, there are ways to decrease the speed at which it happens and take preventive actions that increase an item’s usability and lifespan.
Oracle executive chairman and CTO, Larry Ellison, first introduced the company’s autonomous database at Oracle Open World last year. The company later launched an autonomous data warehouse. Today, it announced the next step with the launch of the Oracle Autonomous Transaction Processing (ATP) service.
This latest autonomous database tool promises the same level of autonomy — self-repairing, automated updates and security patches and minutes or less of downtime a month.
Cowboy Ventures, the early-stage venture firm launched in 2012 by longtime VC Aileen Lee, has lassoed $95 million in capital commitments for its third fund, up from the $55 million that it raised for its second fund and more than twice what it raised for its $40 million debut fund.
That investors are doubling down on the firm isn’t a surprise, given its track record.
Actifio, one of the IT industry's storage unicorns with a valuation of over $1.3 billion, expects the new funding to help it expand its global reach and develop its data management platform.
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