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India's Bharti Airtel Partners With Amazon to Grow Cloud Business

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Bharti Airtel Ltd and Amazon Web Services (AWS) will join forces to develop the Indian telecoms firm's cloud business, allowing it to offer a wider range of products to its enterprise clients, the two companies said on Wednesday. Airtel Cloud currently provides data centre and cloud services to companies and governments via different partnerships. "AWS with the depth and breadth of our platform, and Airtel with its deep reach and expertise and focus, I think together we can build a set of really differentiated cloud products and go serve customers at scale in India," Puneet Chandok, President, India and South Asia at Amazon Internet Services told a virtual news conference. New products could include data analytics, artificial intelligence and machine learning, and security services among others, the two companies said.


Chatbot for Ecommerce: Boost Your Online Sales With The Help of A Chatbot

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A chatbot can benefit the biggest or the smallest eCommerce company. Whether you're selling clothes, shoes, makeup, electronics, art & crafts, or furniture, having a chatbot is a great investment for your store. Big brands benefit from chatbots because it allows them to engage with numerous customers in a timely and efficient manner. At the same time, small stores that cannot hire several employees can compete with bigger businesses by providing immediate service. Having a chatbot can help increase your revenue because it solves different customer problems that often lead to cart abandonment.


Royal Bank of Canada and Borealis AI announce new AI

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RBC's AI private cloud platform is the first-of-its-kind in Canada to deliver intelligent software applications and boost operational efficiency Royal Bank of Canada (RBC) and its AI research institute Borealis AI have partnered with Red Hat and NVIDIA to develop a new AI computing platform designed to transform the customer banking experience and help keep pace with rapid technology changes and evolving customer expectations. "Modern AI cannot exist without access to high performance computing. This collaboration means that we can conduct research at scale, and deploy machine learning applications in production with improved efficiency and speed to market." As AI models become more efficient and accurate, so do the computational complexities associated with them. RBC and Borealis AI set out to build an in-house AI infrastructure that would allow transformative intelligent applications to be brought to market faster and deliver an enhanced experience for clients.


Global Big Data Conference

#artificialintelligence

If you're a data scientist who has been wanting to break into the deep learning realm, here is a great learning resource that can guide you through this journey. It's pretty much an all-inclusive resource that includes all the popular methodologies upon which deep learning depends: CNNs, RNNs, RL, GANs, and much more. The glue that makes it all work is represented by the two most popular frameworks for deep learning pratcitioners, TensorFlow and Keras. This book was a real team effort by a group of consummate professionals: Antonio Gulli (Engineering Director for the Office of the CTO at Google Cloud), Amita Kapoor (Associate Professor in the Department of Electronics at the University of Delhi), and Sujit Pal (Technology Research Director at Elsevier Labs). The resulting text, Deep Learning with TensorFlow 2 and Keras, Second Edition, is an obvious example of what happens when you enlist talented people to write a quality learning resource.


Book Review: Deep Learning with TensorFlow 2 and Keras - insideBIGDATA

#artificialintelligence

If you're a data scientist who has been wanting to break into the deep learning realm, here is a great learning resource that can guide you through this journey. It's pretty much an all-inclusive resource that includes all the popular methodologies upon which deep learning depends: CNNs, RNNs, RL, GANs, and much more. The glue that makes it all work is represented by the two most popular frameworks for deep learning pratcitioners, TensorFlow and Keras. This book was a real team effort by a group of consummate professionals: Antonio Gulli (Engineering Director for the Office of the CTO at Google Cloud), Amita Kapoor (Associate Professor in the Department of Electronics at the University of Delhi), and Sujit Pal (Technology Research Director at Elsevier Labs). The resulting text, Deep Learning with TensorFlow 2 and Keras, Second Edition, is an obvious example of what happens when you enlist talented people to write a quality learning resource. I've already recommended this book to my newbie data science students, as I enjoy providing them with good tips for ensuring their success in the field.


The Newest Listed Stock in the $100B USD Digital Ad Space

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Nowhere is more apparent than the massive growth within the online marketing advertising sector. The effects of lockdowns and quarantines forcing companies to operate remotely and keeping people at home shone a light on increased software use, digital reliance, and online advertising. Before the pandemic, the largest companies in the world were already tech giants. All of the big five have fought for and earned revenue from software services, but the growing advertising slice of the pie had become dominated by the duopoly of Facebook (NASDAQ:FB) and Alphabet (NASDAQ:GOOG). Now, that media advertising market has grown to US $100 billion largely on advertising revenue and digital ad spending that are both forecasted to keep increasing.


Google Assistant recommends your YouTube Music on Nest speakers

Engadget

Over the last couple of years, Google has gradually improved YouTube Music with features like playback screen lyrics and an Explore tab. Now, it has unveiled integration with some of its other products, including Android TV, Google Maps and and Google Assistant. The first feature is recommendations via Google Assistant. To use it, you simply say: "Hey Google, play recommended music from YouTube Music," and you'll get personalized music suggestions, including favorite artists and genres, based on your listening history. Unfortunately, this feature is only available on newer Nest speakers and not Google Home devices.


It's Personal: AI Leader Partners With IBM, Builds New Buy Zone

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As IBM (IBM) and Red Hat team up with Adobe (ADBE) on artificial intelligence and personalization technology, Adobe stock is trying to customize a new base and buy point. The IBD Long-Term Leader is also setting its sights on a fresh all-time high. In July, Adobe, IBM and Red Hat announced a strategic partnership aimed at accelerating the digital transformation and strengthening of real-time data security for enterprises, with a focus on regulated industries such as banking and health care. Building on IBM's acquisition of Red Hat in 2018, the goal of the partnership is to "enable companies to deliver more personalized experiences across the customer journey, driving improved engagement, profitability and loyalty." Having already made its own successful shift to a software-as-a-service model, Adobe has become a major player in cloud-based creative, personalization and analytics products.


Alibaba Cloud turns on new hyperscale data centres in China

ZDNet

Alibaba Cloud has added three hyperscale data centres in China and plans to build more over the next few years. The move is part of the Chinese tech giant's $28 billion investment to modernise its cloud infrastructure and support customers' digital transformation needs. Located in Hangzhou, the Jiangsu Province's Nantong, and Inner Mongolia's Ulangab, the three new sites run on Alibaba's own technologies including its Apsara Distributed OS, Hanguang 800 AI chip, and X-dragon architecture. The launch was part of its previous announcement to park another $28 billion over three years to build out its cloud infrastructure, the company said in a statement Tuesday. While coy over how the Huawei-US debacle may impact other Chinese technology vendors, Alibaba Cloud executives play up their "in Asia, for Asia" focus and investment in the region as a key competitive advantage over its US competitors, including AWS, Microsoft, and Google.


What we know about IoT Security? – DocTooLss

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We read a lot about IoT, but not clear what exactly it means, although we know about its definition so here we explain in simple terms. IoT is basically connecting of computing devices, mechanical, digital machines, objects, and people with one another. Ex: wirelessly connecting devices such as smart speakers i.e. our very own Amazon Alexa or Google Home, smart TVs, Apple Watch, internet-connected baby monitors, video doorbells, and even toys, CCTV camera's controlled by smartphones. The technology that is concerned with safeguarding the connected devices and networks in the internet of things (IoT). IoT is a concept based on the idea of everyday physical objects with the ability to communicate directly over the Internet.