Industry


Why next year could be a turning point for project management and AI

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Artificial Intelligence hasn't quite arrived in the project management sphere yet, but it's on its way. Gartner forecasts that 80 per cent of project management roles will be eliminated by 2030 as AI takes on traditional project management functions such as data collection, tracking and reporting. The same report highlights that programme and portfolio management (PPM) software is behind the times, and AI-enabled PPM is only just beginning to surface in the market. However, while some tasks will inevitably be automated, it opens up other opportunities for project managers. It's important to know the difference between how AI-enabled automation can change project management and how AI-enabled insights from massive databases can make a difference.


Artificial Intelligence #3:kNN & Bayes Classification method

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This can be thought of as the training set for the algorithm, though no explicit training step is required.by Sobhan N. What you'll learn Use k Nearest Neighbor classification method to classify datasets. Write your own code to make k Nearest Neighbor classification method by yourself. Use k Nearest Neighbor classification method to classify IRIS dataset. Use Naive Bayes classification method to classify datasets.


Expert source on ethical AI in the workplace and hiring (Includes interview)

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Britt argues that artificial intelligence – when used ethically – is positively impacting people when it comes to hiring and the employee experience. He expands further by saying that AI should be used to enhance human capability and help workers improve and grow – not to place a "big brother" monitoring system on them. Digital Journal spoke with CallMiner's Britt about examples of how AI has helped companies develop and retain top talent, simplify jobs, and drastically improve the employee experience. Digital Journal: How is artificial intelligence disrupting business? Britt: If by disruption we mean a radical change in a business, then the most disruptive aspects of AI is the need to rethink existing human-built processes to be AI processes, basically transforming a business from Human-to-Human to Machine-to-Human.


The Problem With Including AI In School Curriculum

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One of the main reasons to integrate AI in the current school curriculum is to make the upcoming generation familiar with technology. The Government of India and the educational board have been pushing for more artificial intelligence to be integrated into the education system, not from the perspective of enhancing it, but also with the intention of making young minds more aware and skilled when it comes to artificial intelligence. Today, children are curious about the smart conversational devices and AI used in applications like Siri and Alexa; some of them even wonder how Netflix gives them precise recommendations. Gradually, they will grow curious and try to learn what algorithms are, what a neural network is, and how they work. The Government of India and the educational board have been taking measures to make the existing school curriculum more AI-centric with a firm belief that the students will learn about AI, have fun and also take India forward.


Accelerating data-driven discoveries

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As technologies like single-cell genomic sequencing, enhanced biomedical imaging, and medical "internet of things" devices proliferate, key discoveries about human health are increasingly found within vast troves of complex life science and health data. But drawing meaningful conclusions from that data is a difficult problem that can involve piecing together different data types and manipulating huge data sets in response to varying scientific inquiries. The problem is as much about computer science as it is about other areas of science. That's where Paradigm4 comes in. The company, founded by Marilyn Matz SM '80 and Turing Award winner and MIT Professor Michael Stonebraker, helps pharmaceutical companies, research institutes, and biotech companies turn data into insights.


AI Transforming and Automating the Consumer Goods Industry

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Artificial intelligence (AI) is one of several disruptive technologies that consumer products' organizations can implement to additionally propel their journey to digital maturity. Artificial intelligence innovations "perform or potentially augment tasks, assist better with illuminating decisions, and achieve goals that have generally required human insight, for example, planning and thinking from partial or uncertain information and learning. As such, AI advances can conceivably fortify an organization's upper hand in the commercial marketplace and improve the customer experience. Artіfісіаl intеllіgеnсе (AI) is as of now overwhelming the retail world and will progressively keep on doing so. Thе mаrkеt ѕіzе оf AI ѕоftwаrе аnd ѕуѕtеmѕ is relied upon to reach $38 million by 2025, and the potential opportunities for connecting with customers in new and progressively tweaked ways are making retailers put resources into such innovations.


Royal Dutch Shell reskills workers in artificial intelligence as part of huge energy transition

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Working at Royal Dutch Shell's Deepwater division in New Orleans gives Barbara Waelde a front-row seat to how the right data can unlock crucial information for the oil giant. So when her supervisor asked her last year if she was interested in a program that could sharpen her digital and data science capabilities, Waelde, 55, jumped at the chance. Since she began her online coursework, the seven-year Shell veteran has learned Python programming, supervised learning algorithms and data modeling, among other skills. Shell began making these online courses available to U.S. employees long before COVID-19 upended daily life. And according to the oil giant, there are no plans to halt or cancel any of them, despite the fact that on March 23 it announced plans to slash operating costs by $9 billion.


Analysis on Impact of COVID-19-Artificial Intelligence (AI) in Construction Market 2019-2023 Demand for Data Integration to Boost Growth Technavio

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Technavio is a leading global technology research and advisory company. Their research and analysis focus on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions. With over 500 specialized analysts, Technavio's report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio's comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.


Top Digital Transformation Trends 2020 for Tech Industry

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The new decade of 2020 or the next stage of "digital evolution" welcomes the world with a promise of hyper intuitive cognitive capabilities and emotionally intelligent interfaces that will rebuild businesses in numerous unpredictable ways. As the tech community (for invested implementation) prepares itself for the new age of disruptive changes to arrive at it's matured stage, it becomes wise and necessary to have a look at these digital transformation trends. Conversational Artificial Intelligence- Siri and Google Assistant are always at swords for their accuracy in answers, but still they both lack in understanding the right intent. Applied conversational AI, fixes this disconnects as it understands the relevance and personalization within humans for successful computer interaction. Conversational AI has an automated speech recognition program that understands natural language and forms a response that exhibits a customized dialogue.


Automation Anywhere Delivers Business Continuity with RPA

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Automation Anywhere, a global leader in Robotic Process Automation (RPA), announced the launch of Bot Security, the industry's first security program to set the standard for securing software bots that enable business continuity. The magnitude of the coronavirus (Covid-19) outbreak has organizations around the world looking to technologies like RPA and intelligent automation to help mitigate disruptions and advance public health, keep global supply chains moving and governments afloat. The company introduced a flexible, multi-tiered framework to certify that bots built by customers, partners, and publishers of bots on Bot Store – the world's largest intelligent automation marketplace with more than 850 pre-built bots – are pre-certified and trusted to scale RPA more rapidly and securely. With Bot Security, users downloading ready-to-deploy intelligent software bots no longer have to compromise on security as they build RPA solutions to access critical data, track the virus's spread and direct citizens to vital information from trusted sources. Automation Anywhere leads the industry as the first vendor to offer a web-based, cloud-native RPA platform that is System and Organization Controls (SOC) 2 Type 1 certified.