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Big Data


Global Big Data Conference

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Being able to deploy machine learning applications at the edge bears the promise of unlocking a multi-billion dollar market. For that to happen, hardware and software must work in tandem. Arm's partner ecosystem exemplifies this, with hardware and software vendors like Alif and Neuton working together. The idea of taking compute out of the data center, and bringing it as close as possible to where data is generated, is seeing lots of traction. Estimates for edge computing growth are in the 40% CAGR, $50 billion area.


Senior Data Analyst

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Today, millions of people use Thumbtack to effortlessly manage their homes. We help them confidently know what to do, when to do it and who to hire. Our goal is simple: to be the only platform homeowners need to fix, maintain and improve their homes. As a long-term partner for homeowners, our promise is to turn what was once confusing and intimidating into something straightforward -- and a lot less stressful. Each day, we connect local professionals across America with busy homeowners so they can grow their businesses.


EarthOptics helps farmers look deep into the soil for big data insights – TechCrunch

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Farming sustainably and efficiently has gone from a big tractor problem to a big data problem over the last few decades, and startup EarthOptics believes the next frontier of precision agriculture lies deep in the soil. Using high-tech imaging techniques, the company claims to map the physical and chemical composition of fields faster, better, and more cheaply than traditional techniques, and has raised $10M to scale its solution. "Most of the ways we monitor soil haven't changed in 50 years," EarthOptics founder and CEO Lars Dyrud told TechCrunch. "There's been a tremendous amount of progress around precision data and using modern data methods in agriculture – but a lot of that has focused on the plants and in-season activity -- there's been comparatively little investment in soil." While you might think it's obvious to look deeper into the stuff the plants are growing from, the simple fact is it's difficult to do.


Data Analyst

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The companyOutrider, the pioneer in autonomous yard operations for logistics hubs, helps large enterprises improve safety and increase efficiency. The only company exclusively focused on automating all aspects of yard operations, Outrider eliminates manual tasks that are hazardous and repetitive. Outrider's mission is to drive the rapid adoption of sustainable freight transportation by deploying zero-emission systems. Outrider is a private company backed by NEA, 8VC, Koch Disruptive Technologies, and other top-tier investors. For more information, visit www.outrider.ai


Applied Researcher - Machine Learning

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PointClickCare is the leading North American cloud-based healthcare software for the acute and long-term and post-acute care markets. For over 20 years, the company has held the same vision – to help the world care for vulnerable populations. Since its inception, PointClickCare has grown exponentially with over 1,700 employees today all working towards impacting the lives of millions. Recognized by Forbes as one of the Top 100 Private Cloud Companies and acknowledged by Waterstone Human Capital as Canada's Most Admired Corporate Culture, PointClickCare leads the way in creating cloud-based software. Their shared mission to support vulnerable populations is allowing PointClickCare and Collective Medical to connect disparate points of care at scale faster than anyone else in the market.


7 Differences Between a Data Analyst and a Data Scientist - KDnuggets

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This article discusses the 7 key differences between data analysts and data scientists with an aim to help potential data analysts/scientists determine which is the right one for them. I touch on day-to-day tasks, skill requirements, typical career progression, and salary and career prospects for both.


Global Big Data Conference

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According to data from PitchBook, the funding for AI deals has continued its furious pace. In the latest quarter, the amount invested came to a record $31.6 billion. Note that there were 11 deals the closed more than $500 million. Granted, plenty of these startups will fade away or even go bust. But of course, some will ultimately disrupt industries and change the landscape of the global economy.


Global Big Data Conference

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The industry as a whole is beginning to realize the intimate connection between Artificial Intelligence and its less heralded, yet equally viable, knowledge foundation. The increasing prominence of knowledge graphs in almost any form of analytics--from conventional Business Intelligence solutions to data science tools--suggests this fact, as does the growing interest in Neuro-Symbolic AI. In most of these use cases, graphs are the framework for intelligently reasoning about business concepts with a comprehension exceeding that of mere machine learning. However, what many organizations still don't realize is there's an equally vital movement gaining traction around AI's knowledge base that drastically improves its statistical learning prowess, making the latter far more effectual. In these applications graphs aren't simply providing an alternative form of AI to machine learning that naturally complements it.


Swarms May Offer Next Level Artificial Intelligence

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NASA wants to push the concept of Swarm intelligence to new heights. Swarms of drones have gotten a lot of time in the spotlight lately, mostly for their use in potential military operations. The U.S. military is testing out swarm operations in simulations, while the British Army is using live drones operating in swarms during actual training operations. Other militaries are also interested in deploying swarms. One of the biggest advantages a swarm of drones has when performing military operations is its resiliency.


Specialisation in Data Science (Machine Learning

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LinuxWorld Initiated 2 years ago A STEP FORWARD - By Sending Pursuing Engineering Students (LinuxWorld Summer Internship Interns) to International Platform (specially who never get this kind of opportunity) so that they can meet the Creator of Technologies [eg. Kapil Modi (our Intern) met Linus Torvalds (Creator of Linux) ], they can Connect with Real Time Use Cases of Industry, Understand How NEW Technologies are Solving the Problem Statements and most important what would be FUTURE Technologies On which we should focus MORE for our Technological Growth as well.