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Hardware & networking, software & IT services, and the old favourite, the consumer sector, are the three highest paying industries in India, according to LinkedIn, which has just done a salary study for the first time in the country based on data on its platform.  By city, Bengaluru pays the highest salaries - which goes with the fact that technology industries pay the most - followed by Mumbai and Delhi.  Hardware & networking jobs fetch about Rs 15 lakh per annum The hardware jobs being paid highly are not the traditional ones, but those in the area of chip design and new-age networking, experts said. Shivananda Koteshwar, head of design R&D at semiconductor tools company Synopsys India, said in the area of VLSI (very-large-scale integration), salaries have exploded because a lot of chip design implementation has moved to India. VLSI is the process of creating an integrated circuit (IC) by combining hundreds of thousands of transistors or devices intto a single chi

There are several varieties of machine learning skills that are in demand in the global marketplace today. The skill that is most in demand is the ability to come up with fundamental innovations in machine learning, and implement them to solve practical problems. For a research career in  artificial intelligence (AI), you need a PhD, preferably from a well-known program, and research competence as demonstrated by published papers, implemented solutions and peer acceptance. For those at the forefront of research, the sky is the limit, and seven-figure USD salaries are not infrequent. The next tier of demand is for people who can build practical implementations, especially in collaboration with a cutting-edge research team. For a career as a machine learning implementation expert, you need substantial work experience and strong software development skills. You need to be able to build production quality systems for industrial big data, and not just know a bit of R or Python that lets

Make way for the new revolutionary conglomeration of digital devices that pledges to innovate industrial production through a massive weave of all potent interconnected IPs ( Internet Protocol) – the Internet of Things or IoT. The phenomenon of Internet of Things has transformed from its origins in RFID to another that encloses all devices that are networked, both external and internal in a manufacturing operation. The massive thrust to embrace IoT in manufacturing corresponds to a recurrent trend that talks about the usage of industrial Ethernet and wireless network technologies within the automated production environment. IoT envelops intelligent sensors and machines, cloud computing, analytics, Big Data, mobility and universal visualization. The main objectives that manufacturers like to see are: improved business performance, production efficiency and asset optimization. Today, IP-enabled microprocessors connect the usual automation equipment such as input/output modules

Data science  is a central part of virtually everything – from business administration to running local and national governments. At its core, the subject aims at harvesting and  managing data  so organizations can run smoothly. For some time now, data scientists have been unable to share, secure and authenticate data integrity. Thanks to bitcoin being overly hyped, block chain, the technology that underpins it, got the attentive eyes of data specialists. Bitcoin touted the decentralized ledger as an open-source and transparent network that is secured by robust crypto graphical calculations.  Well, if you look at block chain in regards to bitcoin, its implications to data science wears thin. However, if you look at it as a public distributed ledger for permanent record keeping and a system of contracts, you can see how it relates to big data analytics. Source:Google Images Here are some of the many reasons why data scientists are enticed by blockchain: Fostering Data T

What do many of the world’s most successful businesses have in common? They outsource some of their work. As companies like Google, Slack, Microsoft, Alibaba, and GitHub have long known, outsourcing can deliver manifold benefits to businesses. These benefits include money saved, time saved, staffing flexibility, speed to innovation, increased control over internal resources, and increased access to top talent, among other compelling benefits. #1 GOOGLE: OUTSOURCING FOR EXPERTISE AND DEMAND Even Google’s top-notch team of 89,000+ in-house employees doesn’t have all the answers all of the time. And that’s one of the reasons the company uses contractors — a LOT of contractors. As Bloomberg reports, 2018 marked the first year Google’s contract workers outnumbered their direct employees. Google says they use temps, vendors, and contractors for two main reasons. First, it allows them to engage workers with expertise they don’t have in-house. Second, it helps them cover spikes in work

Cisco foresees a massive buildup of IP traffic – 4.8 zettabytes per year by 2022, which is over three times the 2017 rate – lead by the increased use of IoT device traffic, video, and sheer number of new users coming onboard.  The company also says there will be 4.8 billion internet users by 2022, up from 3.4 billion in 2017. Those predictions are from Cisco’s Visual Networking Index (VNI), its annual look at the state of the internet culled from actual network traffic reports and independent analyst forecasts. Source:Getty Images Cisco says that since 1984, over 4.7 zettabytes of IP traffic have flowed across networks, but that’s just a hint of what’s coming. By 2022, more IP traffic will cross global networks than in all prior “internet years” combined up to the end of 2016. In other words, more traffic will be created in 2022 than in the first 32 years since the internet started, Cisco says. (Remember, too, that an exabyte is 1 billion gigabytes and a zet