Can Blockchain Really Make Big Data Better?

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A blockchain, originally blockchain, is a growing list of records, called blocks, which are linked using cryptography. Each block contains a cryptographic hash of the previous block, a timestamp, and transaction data . According to Wikipedia, "Big data is a term used to refer to data sets that are too large or complex for traditional data-processing application software to adequately deal with. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate." Volume: The quantity of generated and stored data.


What Is Machine Learning Models And Its Power

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Appropriately utilized Machine Learning (ML) adaptations may beneficially affect authoritative adequacy. It's first basic to understand how these renditions are made, how they work, and the manner in which they're set into generation. At the point when a PC is given inquiries inside a specific area, an AI model will run a calculation that will empower it to determine those inquiries. These calculations are not really restricted to specific situations however can be modified to a higher level of precision for particular sorts of inquiries. Use cases for these are recorded underneath.


Climate Change: How Can AI Help?

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The summer of 2019 gave us some of the clearest examples yet of how climate change is transforming our world. The hottest June ever was followed up with the hottest July ever -- which also turned out to be the hottest month in recorded history. Scientists memorialized the first Icelandic glacier to lose glacier status and predicted the country would be glacier-free in 200 years. And unprecedented wildfires raged in the normally frozen Arctic, throwing up a smoke cloud nearly the size of Europe. The 2018 report from the International Panel on Climate Change gives us a stark time horizon: 20 years.


This autonomous ship aims to steer itself across the Atlantic ocean ZDNet

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An autonomous boat under developments could be the first ship to cross the Atlantic that is able to navigate around ships and other hazards by itself. The Mayflower Autonomous Ship (MAS) is an autonomous vessel due to depart from Plymouth in England on the fourth centenary of the original Mayflower voyage, on 6 September 2020, with its destination Plymouth, USA. The project was put together by marine research and exploration company ProMare in an effort to expand the scope of marine research. The boat will carry three research pods equipped with scientific instruments to measure various phenomena such as ocean plastics, mammal behaviour or sea level changes. IBM has now joined the initiative, and it will supply technical support for all navigation operations.


Autonomous 'Mayflower' research ship will use IBM AI tech to cross the Atlantic in 2020 – TechCrunch

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A fully autonomous ship called the "Mayflower" will make its voyage across the Atlantic Ocean next September, to mark the 400-year anniversary of the trip of the first Mayflower, which was very much not autonomous. It's a stark way to drive home just how much technology has advanced in the last four centuries, but also a key demonstration of autonomous seafaring technology, put together by marine research and exploration organization Promare and powered by IBM technology. The autonomous Mayflower will be decked out with solar panels, as well as diesel and wind turbines to provide it with its propulsion power, as it attempts the 3,220-mile journey from Plymouth in England, to Plymouth in Massachusetts in the U.S. The trip, if successful, will be among the first for full-size seafaring vessels navigating the Atlantic on their own, which Promare is hoping will open the doors to other research-focused applications of autonomous seagoing ships. To support that use case, it'll have research pods on board while it makes its trip. Three to be specific, developed by academics and researchers at the University of Plymouth, who will aim to run experiments in areas including maritime cybersecurity, sea mammal monitoring and even addressing the challenges of ocean-borne microplastics.


Asma Shabab breaks the rules to reveal how tech impacts humanity

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From Istanbul to Los Angeles, Dubai to New York and beyond, Asma Shabab--named a 2019 Woman to Watch for her thought leadership on how technology impacts humanity--is exactly that. "Here's to the rule breakers, the rebels and the transformers," Brandberries editor-in-chief Hamza Sarawy, who compiled the list, wrote. Shabab has always been a rebel, which she defines as continuously exploring how to challenge herself. At school, where she excelled in academics and extracurricular activities, she loved finding creative ways to address whatever was happening around her. Today, in her globe-circling career, she defines rule breakers as those who have the guts to question. "A rule breaker is someone who does things differently," she told Industrious from her Dubai home.


Data Scientist, IS&S - IoT BigData Jobs

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Apple is searching for a highly-skilled data scientist/engineer to join the Data Science team within our Internet Software and Services division. This is a full-time position based are our headquarters in Cupertino, CA. Key Qualifications Working knowledge of SQL, Python, and R. Experience with Java, C/C, and Scala is also desirable. Experience with Spark is highly desirable. Strong communication skills, both written and oral, and an ability to convey complex results in a clear manner.


Empowering retailers to see into the unknown with AI

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I've got a question for retailers who have a fear of the unknown: in reality, do they really know everything when it comes to their core operations, from stock levels and price points to distribution volumes and promotions? Most decisions are still largely made on gut feeling or by an individual who believes their experience will always outperform a computer, which in today's technological environment is nonsensical. There's a lot of hype surrounding artificial intelligence (AI), and Gartner research states that the number of enterprises employing AI has grown 270% over the past four years; and yet, many companies are still sceptical about what it means or how it could benefit their business. There is a clear purpose, however: retailers can use AI to illuminate areas of the business that were previously shrouded in uncertainty. When unhindered by human interference or pride, AI and Machine Learning (ML) can clear the fog surrounding the unknown, ensuring that all decisions are made using accurate statistics and data.


AutoAI for Data Scientists: From Beginner to Expert

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Data science is a required practice for organizations accelerating their journeys to AI. Businesses are keen on hiring the right talent, acquiring the right tools and evolving the discipline. Solving the lack of data scientists' problems requires investment in our employees in terms of time and training. We can't expect these people to just keep on learning for a year before they can be productive. We need to reach a stage where people know enough to start contributing immediately while continuing to improve their skills. As far as the second problem is concerned, taking too much time getting to a usable and tuned model, we need tools to help us optimize our data scientists' productivity.


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Here are 10 practical steps for leaders & teams to move beyond the hype and get going with Data & AI.