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The Transformational Role of AI and Automation in the Business World

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The rapid advances of disruptive technologies such as artificial intelligence, automation, and others are transforming modern businesses. These technologies have paved ways for organizations to drive efficiency and become more productive. Most enterprises see AI and automation as a driving force of change that can lead to growth in their businesses. By leveraging them, companies, whether small, medium-sized or large, will maximize the return on investment of their marketing efforts. For instance, making use of an AI-powered chatbot that interacts directly with users can be a great entry point for business leaders to experience the power of AI.


Event Stream Processing: How Banks Can Overcome SQL and NoSQL Related Obstacles with Apache Kafka

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While getting to grips with open banking regulation, skyrocketing transaction volumes and expanding customer expectations, banks have been rolling out major transformations of data infrastructure and partnering with Silicon Valley's most innovative tech companies to rebuild the banking business around a central nervous system. This can also be labelled as event stream processing (ESP), which connects everything happening within the business - including applications and data systems - in real-time. ESP allows banks to respond to a series of data points – events - that are derived from a system that consistently creates data – the stream – to then leverage this data through aggregation, analytics, transformations, enrichment and ingestion. Further, ESP is instrumental where batch processing falls short and when action needs to be taken in real-time, rather than on static data or data at rest. However, handling a flow of continuously created data requires a special set of technologies.


Commentary: How AI and machine learning improve supply chain visibility, shipping insurance - FreightWaves

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The views expressed here are solely those of the author and do not necessarily represent the views of FreightWaves or its affiliates. In this installment of the AI in Supply Chain series (#AIinSupplyChain), we explore how artificial intelligence is being used to help beneficial cargo owners gain greater visibility into their supply chains in order to make it possible for their insurers to more accurately underwrite insurance policies. This article is most directly related to Commentary: Key supply chain innovation issues to consider in a world with VUCA and Commentary: Exogenous variables dominate a world with VUCA. According to IBM, "Supply chain visibility is the ability of stakeholders throughout the supply chain to access real-time data related to the order process, inventory, delivery and potential supply chain disruptions." Sometimes this definition is extended to include access to knowledge about the state of goods in transit.


Top 8 Artificial Intelligence Apps For Your Shopify Store

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For many of us, artificial intelligence seems like a distant future where robots will take over our jobs. In reality, AI is already everywhere and many Shopify apps have turned to AI and specifically machine learning to help you work with your data in several different ways. There are currently less than 100 Shopify apps that employ the use of AI for different types of tasks you might need help with from product recommendations to SEO, video creation, and email marketing. We've had an in-depth look at all AI-driven Shopify apps to select 8 of the best ones, each for a different need. Disclaimer: Remember that not all of these artificial intelligence apps will be compatible with your store's settings and theme.


Microsoft unveils updates across Azure Cognitive Services and Azure Machine Learning

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During its Ignite 2020 conference, which kicked off virtually this morning, Microsoft announced updates to Azure Cognitive Services and Azure Machine Learning aimed at streamlining business processes during the coronavirus pandemic. The company also launched two features in Azure Cognitive Search -- Private Endpoints and Managed Identities -- plus enhancements to Bot Framework Composer and the broader Azure Bot Service. "We're seeing AI touching every business across the planet, and so one of the key focuses we have with Azure Machine Learning is to provide our customers with the tools to really simplify the ability to create new models because we know they're going to need them in every area of their business," Microsoft corporate vice president Eric Boyd told VentureBeat in a phone interview. "This continues to be a key theme for us -- how we will really help our customers, enable more of their developers, and even more of their data analysts to build machine learn models and apply them in all aspects of their business." Private Endpoints in Cognitive Search, which is generally available as of today, allow a client on a virtual network to access data in an index over a private link.


Global Big Data Conference

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Though banks don't create AI strategies, they are increasingly using artificial intelligence and machine learning in their day-to-day business. We frequently work with them on ideation workshops, PoC, and solution implementation. Santander Consumer Bank, for example, is running workshops and researching how to use machine learning to boost the sustainability of loan portfolios. Besides credit risk modeling, there is already an impressive range of use cases for AI in banking. It covers everything, from customer service to back-office operations.


Amazon's new Ring camera is actually a flying drone -- for inside your home

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Ring's Always Home Cam is an indoor security camera drone. Ring on Thursday introduced a new product to its growing roster of smart home devices -- the Ring Always Home Cam. Unlike the Amazon company's other security cameras, the Always Home Cam is a flying camera drone that docks when it isn't in use. The Ring Always Home Cam will be available in 2021 for $250. Along with this hardware announcement, Ring says you'll be able to turn on end-to-end encryption in the Ring app's Control Center "later this year" in an effort to improve the security of its devices.


AI-Assisted Testing

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There is a constant ask from the customer on how to optimize the overall QA (Quality assurance) activities in terms of reducing cycle time, improving quality by reducing production defects, focused testing to get maximum defects in early development phases. Apart from this, most of the customers are adopting digital platforms such as PaaS (Platform as Services) & SaaS (Software as Services) solutions for faster delivery, so how can the QA Team keep pace with development and subsequent validation activities, by automating test case generation. Can we get insights into what areas to automate? Will there be any prediction on what will be the number of defects found, test cases need to be written based on the release magnitude. To get these answers, let's explore the solutions available which we can leverage.


The Future of AI Part 1

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It was reported that Venture Capital investments into AI related startups made a significant increase in 2018, jumping by 72% compared to 2017, with 466 startups funded from 533 in 2017. PWC moneytree report stated that that seed-stage deal activity in the US among AI-related companies rose to 28% in the fourth-quarter of 2018, compared to 24% in the three months prior, while expansion-stage deal activity jumped to 32%, from 23%. There will be an increasing international rivalry over the global leadership of AI. President Putin of Russia was quoted as saying that "the nation that leads in AI will be the ruler of the world". Billionaire Mark Cuban was reported in CNBC as stating that "the world's first trillionaire would be an AI entrepreneur".


3 Advantages of Insurance Companies Adopting AI

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As the capabilities of artificial intelligence (AI) are growing, insurers are finding new ways to capitalize on this technology. Here are some of the most prominent advantages of Insurance companies adopting AI. IoT (internet of things) refers to the interconnection of physical objects via the internet. These devices--things--are embedded with software and sensors for the purpose of connecting and exchanging data with other systems and devices over the internet. The internet of things includes devices such as Google Home and Amazon Echo.