Major tech companies have actively reoriented themselves around AI and machine learning: Google is now "AI-first," Uber has ML running through its veins and internal AI research labs keep popping up.
Source: TC
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Cloud computing is already a huge business, and competition is stiff. But this year, tech firms opened a new front in the battle to win users over in the cloud: the large-scale introduction of cloud-based AI.
Source: MIT Technology Review10986
Artificial intelligence and machine learning are rapidly gaining importance, and Mark Russinovich, Microsoft Azure chief technology officer, believes it's because of open-source software and the cloud.
Source: ZDnet12138
Leveraging cloud technology and Azure services into business is very useful. Companies who have accepted the cloud also love a greater competitive advantage because of simplified operations, greater connectivity between personnel and resources which roll-outs new business opportunities.
Source: HOB4263
IoT has already created the hype in the business world. Keeping security and occasional performance issues aside, IoT has already created more productive environments in the business by the year 2025, its direct economic impact on retail, manufacturing, healthcare and other important industries.
Source: HOB2289
Many companies want to use Data Science to advance their businesses. They recognize the need of data science as every organization prime goal is to stay competitive and make use of their data, but many of them are unsure of how to get started and don't even have a data scientist team.
Source: HOB1929
Many companies want to use Data Science to advance their businesses. They recognize the need of data science as every organization prime goal is to stay competitive and make use of their data, but many of them are unsure of how to get started and don't even have a data scientist team.
Source: HOB3402
As 2018 comes to a close, it's worth taking some time to look back on the major events that occurred this year in the big data, data science, and AI space. Data security continued to be a major topic in 2018, particularly as the rash of big data breaches continued.
Source: HOB5895
Cloud computing technology becomes a typical once talking regarding the developing applications these days. Some years agone, corporations were enforced to possess dedicated groups for configuring, running and maintaining server rooms that created it extraordinarily tough to proportion simply and provide a property product. For startups, it had been even tougher thanks to the shortage of human resource still as funding.
Source: HOB6363
DevOps has become the go-to methodology that technology firms use to contour the method of developing and cathartic their apps and services. Recent methodologies just like the water approach do not deploy quick enough and at the scale, you wish nowadays.
Source: HOB3162
Job postings for cloud computing and cloud engineers have risen 27% in the past two years, according to Indeed. AWS, Python, and Java are the most in-demand skills for cloud computing roles
Source: HOB3774
Machine learning has grown to be one of the hottest job markets in India with tech giants and startups poring billions to this emerging field.
Source: HOB17400
The edge computing was a hot topic as companies began to understand that the edge computing is the new cloud. The transition and adoption will be a big part of IT strategies in 2019 due to a few key trends that will drive that adoption at a rapid rate.
Source: HOB1611
More than 1,300 people mainly working in the tech, finance, and healthcare revealed which machine-learning technologies they use at their firms, in a new O'Reilly survey.
Source: HOB10299
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