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Big Data


Why your big data dreams can't come true without AI - Information Age

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During the Covid-19 pandemic, the volume of data generated by online activity has increased by 35%. This isn't surprising, for during the same period of time, the rate of digital transformation – which includes cloud adoption – at the average enterprise, has accelerated by seven years. With more consumers online than ever before, companies are rushing to better integrate and process data, so they can more accurately anticipate changing preferences and patterns of consumption. At the same time, however, companies are also searching for ways to keep this big data – much of it personal and sensitive – safe. Now that millions more people are working from home, data is being transferred through the cloud and across public and private networks in unprecedented volumes.


Artificial intelligence, smart urban management on show - SHINE News

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Shanghai-based artificial intelligence companies and the latest adoptions for smart urban management will be highlights at the Exposition on China Indigenous Brand at the Shanghai Exhibition Center starting Monday. Shanghai Fokan Technology Co, which specializes in graphic encoding and data-mining capability with its own high-resolution camera with resolution of 1 billion pixels, is presenting its products and solutions. By combining the algorithms and hardware for surveillance video cameras, it aims to become the data channel for a wide variety of applications related to artificial intelligence. Based on research projects at Fudan University and the Changchun Institute of Optics, Fine Mechanics and Physics of the Chinese Academy of Science, it's now offering airport smart management solutions at two dozen domestic airports by bringing scattered video surveillance footage in an integrated real-time data platform. Fokan Tech said it managed to build cutting-edge optic sensors and image recognition algorithm into one single smart camera which can detect images of humans, vehicles and aircraft within four square meters.


11 data science skills for machine learning and AI

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Advanced analytics techniques, big data infrastructure and powerful algorithms are providing organizations with the ability to utilize their data for significant business value. The challenge, however, is finding the right skill sets and talent to make better use of the data. The growth of data science requires a deeper set of skills and capabilities from data science practitioners. While the fundamentals of data science have been around for decades, only recently have the tools and techniques matured to provide the capabilities necessary to accomplish more advanced data analytics, AI and machine learning (ML) goals. As such, there are many skills for machine learning and AI that data scientists, IT professionals and ML engineers should hone before embarking on AI and ML projects.


Global Big Data Conference

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Have you ever wished you had a personal sommelier to help you choose the right wine? A wine that's perfect for the occasion, tastes great according to your personal preferences, and is at the right price point for you? That's exactly what Vivino can do for you. Vivino is the world's largest online wine marketplace, and with the help of the data being generated by their 51 million users, you can always find the right wine for you. I interviewed Heini Zachariassen, Vivino's Founder and CEO, about how Vivino is using big data and artificial intelligence to help people find and purchase their perfect wine.


Global Big Data Conference

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AI is crucial in the field of digital marketing, especially when it comes to email marketing. Artificial intelligence, or AI, is already revolutionizing the way we think of marketing today. AI can aid in the optimization and speeding up of a variety of marketing tasks, enhancing customer interactions and increasing conversions. Artificial intelligence is crucial in the field of digital marketing, especially when it comes to email marketing. Because of its direct approach and cost-effective technique, email marketing has become an important part of digital marketing.


Quick Apply: 7 Lucrative Data Science Internships in May 2021

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Data science is one of the ground-breaking fields for students who have a knack and a keen eye for details in the world of science and technology. Companies are in dire need of aspiring data scientists for proper usage of the continuous flow of real-time data to enhance the business in the competitive world. The future of a company is dependent on data science due to the upsurge of raw data in the tech-savvy era. So, what is the best way to kick-start your career in data science? Analytics Insight has made you a list of seven reputed companies that have vacancies for data science internships.


HP's latest all-in-one comes with AI noise reduction

Engadget

HP has unveiled its latest all-in-one desktop PC. The company claims the EliteOne 800 G8 is the first commercial all-in-one to offer AI-based noise reduction and presence awareness, features that HP has included in some laptops. Presence awareness can automatically lock your PC when you move away and wake it up when you return. The system boasts several other security features, including cable lock support. The PC is available with a 23.8-inch or 27-inch display up to 2560x1440, with low-blue-light and anti-glare viewing.


Onboarding Data Analyst

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Weave supports small business owners by providing an all-in-one platform to help them communicate with, and grow their customer base. With Weave's complete business toolbox, small businesses can streamline all their communication, payments and marketing - all from one place - and continually provide a phenomenal customer experience. At the core of Weave's growth are our people. We are passionate about providing an amazing workplace for talented people who demonstrate our core values: Hungry, Creative, and Caring. In 2019, Weave received several significant awards, including the Fortune 100 Best Companies, Forbes Cloud 100, and Inc. 5000 fastest-growing companies.


What is Azure Synapse and how is it different from Azure Data Bricks?

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Azure Synapse Analytics is an unlimited information analysis service aimed at large companies that was presented as the evolution of Azure SQL Data Warehouse (SQL DW), bringing together business data storage and macro or Big Data analysis. Synapse provides a single service for all workloads when processing, managing and serving data for immediate business intelligence and data prediction needs. The latter is made possible by its integration with Power BI and Azure Machine Learning, due to Synapse's ability to integrate mathematical machine learning models using the ONNX format. It provides the freedom to handle and query huge amounts of information either on demand serverless (a type of deployment that automatically scales power on demand when large amounts of data are available) for data exploration and ad hoc analysis, or with provisioned resources, at scale. As one of the few Microsoft's Power BI partners in Spain, at Bismart we have a large experience working with both Power BI and Azure Synapse.


Africa and Asia: Three frontier technology trends in the wake of COVID-19

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COVID-19 has impacted the world in unprecedented ways, fast-tracking the use of digital tools and innovation to adapt. In a previous blog, we outlined six key technology trends driving social and behavioural changes in West Africa as a result of COVID-19. As we look towards life after the pandemic, we revisit some of these trends and detail key frontier technologies gaining traction in developing economies. The pandemic has driven the uptake of big data public-private partnerships for crisis response. Layering multiple types of data points (including mobile phone data, satellite imagery, ground weather measurements and open street maps) can be extremely effective when combined.