More Than Just Machines – Part III
Part III: Verticalization – Birth of the new machine model Powered by software and automation, newer business models and verticalization are set to be key themes in the transformation of the machinery industry. Beyond the digital transformation of the industry, some of the major aspects to be considered for the future of machinery is the […]
What are the Prerequisites for Data Science?
Data Science blends multiple disciplines such as machine learning, algorithms, data inference, programming, mathematics, and statistics to extract useful information that solves complex problems. The Forbes article ‘6 Predictions About Data In 2020 And The Coming Decade’ published in 2020 urged the importance of data science in managing the 44 zettabytes of data generated by […]
Google uses System-on-a-Chip to take its fight to Apple
A recent developer event reveals Google is looking at greater integration across devices, and also between its hardware and software, to better compete against rivals Close on the heels of Apple’s System-on-a-Chip (SoC) powering its Macs, iPads, and iPhones to set sales records, Google used its recent developer eventI/O 2022 (I/O stands for input-output) to […]
Recovery Disrupted – corporates & governments grapple with paradoxes
Redrawing supply chains, a sharply polarised world, tightening monetary policies, slower growth – these are times when responding to one crisis could create another elsewhere Corporate chiefs, economists, and policymakers of the government are having sleepless nights. Corporates are grappling with redrawing supply chains along geopolitical fault lines as the world gets sharply polarised; policymakers […]
The State of AI: China edition
China is becoming a world leader in AI for a reason. Read on to know why That China’s investments in its AI economy has contributed significantly to the global growth of AI is reflected squarely in the Stanford University AI Index, gauging worldwide artificial intelligence advancements in metrics such as development, research, and economy. The […]
Big Data vs Data Science
Big data and data science are hot topics that need to be understood today. Confusion between both subjects is quite prevalent as most industries involved in these topics do not agree upon a universal definition for both. The amount of data collected and stored has never happened before. The growing variety and volume of data […]
AI-driven AV: Driverless Cars Take a New Turn – Part II
Can reinforcement learning replace the robotics approach for self-driven cars? Looks like the second generation of autonomous vehicles is here Robots are robots, after all The robotics approach traditionally undertaken by self-driving cars considers driving to be a sequence of distinctly separate problems involving route identification, perception, on-road decision-making, vehicle control, and so on. Each […]
VCs sound the alarm bells
An ominous ring of the past is sending shivers down corporate spines. Is it the end of good times? On an early October day in 2008, Sequoia Capital, the benchmark venture capital firm the world swears by, called an emergency meeting of its entrepreneurs, including Alfred Lin – a partner at Sequoia and a former […]
5 Main steps in the Data Science Life Cycle?
In the modern world, data is of very high importance. Many disciplines have developed around the study and processing of data with data science among them. Data is processed through various stages during its lifetime, starting from creation, testing, processing, and consumption to finally being reused. These stages can be anywhere from five to sixteen […]
Data Science As a Career
Is data science a good career? Yes! Data science is an excellent career with tremendous opportunities for future advancement. The current scenario sees high demand, competitive salaries, and numerous perks. Glassdoor rates data scientists as the “best job in America” and LinkedIn states it to be “the most promising career”. The Chief Economist of Google […]