For many of us, our morning coffee is often accompanied by a seemingly endless stream of headlines about how our pending robot overlords will be the downfall of our economy.
Source: Huffington Post
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Uber has fired 20 employees over harassment, discrimination and inappropriate behavior, as the ride-hailing company tries to contain the fallout from a series of toxic revelations about its workplace.
Source: NY Times5256
Artificial intelligence is being pursued by many Silicon Valley companies, but advancements in the nascent technology are hitting a standstill due to lack of talent, according to a recent study.
Source: Business Journals8859
It's hard to deny the impact of artificial intelligence (AI) in the enterprise. According to a 2017 study by Cowen, 81 percent of IT leaders are investing in or planning to invest in AI. Specifically, 43 percent are evaluating and doing a proof of concept (POC); 38 percent have already launched initiatives and are targeting more investments.
Source: CMSwire8445
In Phoenix, cars are self-navigating the streets. In many homes, people are barking commands at tiny machines, with the machines responding. On our smartphones, apps can now recognize faces in photos and translate from one language to another.
Source: NY Times7815
Do labor-saving and cognitive technologies such as artificial intelligence (AI) make life better in workplaces, do they make things boring, or do they eliminate workplaces altogether? Some recent studies show mixed feelings about the potential impact. But if implemented with employees having say in the process, AI can be a force of positive change.
Source: Forbes7095
One should rather have an empowered, trained end user than an end user who relies on the organization for their protection. Mistakes will be made, and immediate follow-up training should be done, but practicing their cyber security skills at home will make those mistakes few and far between.
Source: HOB9744
In the Big Data world, Web Scraping or Data Extraction services are the primary requisites for Big Data Analytics. Pulling up data from the web has become almost necessary for companies to stay in business.
Source: HOB24234
Automation, till now has affected mostly redundant and repetitive jobs, low skilled jobs, less wage paid jobs. But with the development in technology, researchers have identified that many higher-paid occupations can be automated and it will transform workplace setting in the organization.
Source: HOB7299
Artificial Intelligence and automation is changing the nature of work and the workplace arrangements. Rising implementation of AI and automation gradually reducing the low-skilled job roles and shifting the workforce landscape.
Source: HOB8898
Here are 4 main reasons data scientists may become dissatisfied with their jobs. Data professionals choose the career path of data science for the complex problem solving, the cool new machine learning algorithms and the expected impact their work will have on real business problems. However, this is often not the case.
Source: HOB133755
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