In aging Singapore, 65-year-olds are learning how to code
In Singapore, which has one of the highest life expectancies in the world at nearly 85 years and where the government soon plans to raise the retirement age, workers are being pushed to learn new...
View ArticleWeighing the benefits of embedded analytics on business processes
Many organizations have developed a desperate need for business analytics to be integrated into every process. That is where embedded analytics comes into play.
View ArticleThe credit robot at HSBC says odds of a bear market are now 84%
HSBC’s credit strategists are complementing their forecasts with this much-touted branch of artificial intelligence, which seeks to perform cutting edge data analysis without human guidance at every step.
View ArticleAnnual investments in robots rose to world record $16.5B
More than a third of global installations were in China and the top five countries hold 74 percent of the market.
View ArticleDatadog leaps in trading debut after rebuffing Cisco
The software company bet it could do better as a public company than in a Cisco Systems Inc. buyout, and jumped 39 percent after raising $648 million in its initial public offering.
View ArticleThe good, the bad, and the ugly of becoming data driven
It seems for all the investments that organizations make in gathering and generating data, few are actually able to turn that data into actionable insights.
View ArticleVA appoints Paul to serve as agency’s chief data officer
The Department of Veterans Affairs has appointed Kshemendra Paul to be the VA’s chief data officer and executive director for data governance and analytics.
View ArticleHow to choose the best embedded analytics solution
How to choose the best embedded analytics solution
View ArticleRun your data and analytics program at the speed of thought
Whether you model your data and analytics practice around an insights-driven strategy or are transitioning your business to run on algorithms, these visions often have greater implications than many...
View Article9 key rules for transitioning a data and analytics strategy to the cloud
Following are the nine key rules to be considered in getting an on-premises data and analytics environment successfully transformed to the cloud.
View ArticleMost firms falling short in their drive to be data-driven
This is partially due to the level of data debt companies have accumulated, with 65 percent saying inaccurate data is undermining many of their key initiatives.
View ArticleHow an integrated customer data and analytics platform can boost email marketing
By integrating your organization’s customer information database with analytics tools, you can potentially save on cost for implementing targeted marketing campaigns.
View ArticlePoor data access putting many analytics projects at risk
A majority of analytics projects are jeopardized due to poor access to the right data, according to a new report by analytics database provider Exasol.
View ArticleDark data under the spotlight: How organizations can turn liability into asset
Bringing dark data to light holds the potential for eliminating repetitive human effort and increasing the productivity of the entire organization, says Kon Leong of ZL Technologies.
View ArticleFirms that excel at scaling tech innovation are rewarded with greater profits
Organizations that excel at scaling technology innovation generate double the revenue growth, according to a new report from IT services and consulting firm Accenture.
View ArticleImplementing centers of excellence to help scale intelligent automation
Working through the details of these three pillars will help organizations answer the big questions about scaling while also creating a workable strategy for replicating their initial success with RPA.
View ArticleDatabricks doubles valuation to $6B in eight months
The data analytics startup said on Tuesday that it has raised $400 million from investors, bringing its funding total to nearly $900 million.
View Article3 tips on how to stop misusing or under-utilizing corporate data
Few organizations have assessed how their data can be put to work in the most productive way. This leaves them vulnerable to inefficiencies and can prevent important information from making its way 'to...
View ArticleTexas Instruments falls as customers cut orders on trade woe
Texas Instruments, the first big semiconductor maker to report in this earnings cycle, has products in almost all markets that use electronic components, making its predictions a broad indicator.
View Article4 steps for getting the most impactful results from predictive analytics
Predictive analytics is based on machine learning algorithms that systematically analyze large quantities of historical data to identify recurring patterns and anomalies.
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