Google Cloud Dataflow vs. Apache Spark: Benchmarks are in

| May 10, 2016

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On Tuesday, my company, Mammoth Data, released benchmarks on Google Cloud Dataflow and Apache Spark. The benchmarks were primarily for batch use cases on Google’s cloud infrastructure. Last year, Google contracted us to implement some use cases and extract user experience data points from people experienced in this field. As a follow-on, we did a benchmark for Google to see how its technology stacked up

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Stoutweb Pvt Ltd

Established in 2016, StoutWeb Pvt. Ltd is a service provider and a hassle-free automation platform catering the needs of Travel Agents for, managing operation and tracking day-to-day activities, transactions and generating business. Holding a diverse portfolio under our belt, we at StoutWeb Pvt. Ltd, have a huge client base for customized software and mobile applications, conceptual portal development and our flagship offering– Travel LED focused on the travel and tourism industry.

OTHER ARTICLES

Artificial intelligence can help some businesses but may not work for others

Article | March 31, 2020

AI should not be applied to every business in the same manner, according to Chris Meyer, professor of practice and the director of undergraduate education at the Lally School of Management at Rensselaer Polytechnic Institute. He details his research on the subject in a new conceptual paper published today in a special issue of the Journal of Service Management on "AI and Machine Learning in Service Management." "AI has the potential to upend our ideas about what tasks are uniquely suited to humans, but poorly implemented or strategically inappropriate service automation can alienate customers, and that will hurt businesses in the long term," Meyer said.

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Is AI just as Biased as the Humans Creating It?

Article | March 10, 2020

The saddest aspect of life right now is that science gathers knowledge faster than society gathers wisdom." Isaac Asimov This is a reprint from article in ReadWrite It might appear that data — the information you find in a scientific article, a history book, or a set of survey results — is just a collection of objective facts. The numbers, if sourced well, are supposed to be the hard truth untarnished by opinions, perspectives, or biases. In reality, this is rarely the case. Here is how AI can be just as biased as the humans creating it.

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The Nuts and Bolts of Deep Learning Algorithms for Object Detection

Article | August 14, 2020

You just got a new drone and you want it to be super smart! Maybe it should detect whether workers are properly wearing their helmets or how big the cracks on a factory rooftop are. In this blog post, we’ll look at the basic methods of object detection (Exhaustive Search, R-CNN, Fast R-CNN and Faster R-CNN) and try to understand the technical details of each model. The best part? We’ll do all of this without any formula, allowing readers with all levels of experience to follow along! Finally, we will follow this post with a second one, where we will take a deeper dive into Single Shot Detector (SSD) networks and see how this can be deployed… on a drone.

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CAN AI REPLACE ‘GUT FEELING’?

Article | June 2, 2021

Artificial Intelligence is empowering business leaders to make better, data-driven, and insightful decisions. It has undergone several evolutions since it burst into the business scene in the 1950s, to the point where several thinkers have already painted a machine that replaces human scenarios for the future. Our view on the future of work has evolved into a zero-sum game, where the result is an either-or. In my opinion, the view that AI will play a dominant role in the workplace is a little extreme. The fundamental assumption around AI replacing human workers is that humans and machines have the same characteristic. Totally untrue!. AI-based systems may be fast, consistently accurate, and rational, but they are not intuitive, emotional or culturally sensitive. Humans possess these qualities in abundance, and it is one of the reasons why we continue to surprise the world with our advancements. Intuition is the Mother of Innovation If we are living comfortable lives today, it’s because some business leaders chose their gut feeling over data analytics on numerous occasions. Some historical examples have been: 1: Henry Ford, facing falling demand for his cars and high worker turnover in 1914, doubled his employees’ wages, and it paid off. 2: Bill Allen was the CEO of Boeing in the 1950s, a company that manufactured planes for the defence industry. One day, he woke up to the idea of building commercial jets for a sector that was non-existent – civilian air travel. Allen convinced his board to risk $16 million on a new transcontinental airliner, the 707. The move transformed Boeing and air travel. 3: Travis Kalanick faced serious pushback when Uber instituted surge pricing. His move seemed to anger and alienate everyone. Travis stayed the course, and Uber modified its surge policy whenever appropriate. Now, dynamic pricing is an accepted aspect of this business and many others. So the question is, should a competent professional trust their gut feeling or make data-driven decisions? DATA V/S GUT Top professionals have repeatedly confirmed that gut feeling is one of the main reasons for their success. Leadership often gets associated with quick responses in unprecedented situations and lateral thinking. Experienced leaders are not only fearless about their instincts but are also proficient at making others feel confident in their judgment. Also, going with our instinct can help us make decisions quickly and more accurately since we tend to make choices based on experiences, values, and compassion. Malcolm Gladwell calls this ‘thin slicing’ in his book, “Blink”. Thin-slicing is a cognitive manoeuvre that involves taking a narrow slice of data, what you see at a glance, and letting your intuition do the work for you. However, he does warn that some decisions are exempt from this rule; it only applies to areas where you already have significant expertise. Artificial Intelligence and machine learning can support leaders to see complex patterns that can lead to new understanding in this fast-moving, digital era. The contention is that ‘human gut’ feeling can go hand in hand with AI – each supporting the other to achieve balanced outcomes. A Joint Venture Between Head and Heart Many see AI as an aid to human intelligence, not a replacement. To be one-step ahead in the AI era, professionals must learn to balance human and machine thinking. Organizations will have to showcase the ability to use the correct information at the right time and take action. It’s about using your instinct to take advantage of data and transforming that information into timely business decisions. AI is not yet ready to replace the human brain, but it has matured into an effective co-worker. Will intelligent machines replace human workers sometime soon? I guess not. Both have different abilities and strengths. The more important question is: Can human intelligence combine with AI to produce something experts are calling augmented intelligence? Augmented intelligence is collaborative, and at the same time, it represents a collaborative effort in the service of the human race. Figuring out how to blend the right mix with the best of data-driven deliberation and instinctive judgment could be one of the most significant challenges of our time.Enable GingerCannot connect to Ginger Check your internet connection or reload the browserDisable in this text fieldRephraseRephrase current sentenceEdit in Ginger×

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Spotlight

Stoutweb Pvt Ltd

Established in 2016, StoutWeb Pvt. Ltd is a service provider and a hassle-free automation platform catering the needs of Travel Agents for, managing operation and tracking day-to-day activities, transactions and generating business. Holding a diverse portfolio under our belt, we at StoutWeb Pvt. Ltd, have a huge client base for customized software and mobile applications, conceptual portal development and our flagship offering– Travel LED focused on the travel and tourism industry.

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