big data


Elsevier Launches 'AI and Big Data in Cancer,' a New Conference on the Translation of Technology, Data and Analytic Innovations into Clinical Practices and Patient Benefits

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AI and Big Data in Cancer: From Innovation to Impact, a new conference from Elsevier, a global information and analytics business specializing in science and health, will bring together experts from all aspects of cancer research and the digital medicine value chain to understand how to translate artificial intelligence and data-driven innovations into new clinical care practices for patients. These leaders, including 2018 Nobel laureate for Medicine, Dr. James Allison, will share pragmatic insights on finding the right partners to move innovations successfully forward. "It is time to shift our conversation from'what-technology-can-do' to'what-medicine-needs' and to raise awareness of what else is necessary to translate an AI-enabled and data-driven innovation into a marketed product," said Dr. Lynda Chin, Conference Chair, Founder and CEO of Apricity Health and Professor at Dell Medical School at the University of Texas, USA. "Understanding what these hurdles are is the first step to overcoming them. "The aim of this conference is to bring innovators together with stakeholders, from patients, clinicians and developers to regulators, payers and investors, so they can network and identify collaborators who can help them accelerate the translation of their innovation into clinical practices," Dr. Chin said. "Insights from the program's 40 key opinion leaders will advance the emerging digital medicine industry, building bridges from computer to clinics," said Laura Colantoni, Vice President for Reference Content, Elsevier, and one of the main organizers for the conference. "We are particularly excited about establishing this conference as a venue for successful innovators, influential facilitators, regulators and payers, as well as investors to find, engage and collaborate with clinicians, researchers and patients to accelerate progress in this area.


How Machine Learning Uncovers Opportunities For Business Optimization

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With ever more data being generated across modern businesses, companies are looking for actionable intelligence to drive optimization, increase margins and avoid supply chain distributions. The sheer volume of data can make it difficult to see trends; this is where machine learning is a revolution for business intelligence. Machine learning is a type of artificial intelligence (AI) that powers computers with the ability to learn without being explicitly programmed. It excels at finding anomalies, patterns and predictive insights in large datasets -- the data lakes -- by reporting on historical data as well as deploying models built to forecast likely outcomes. In particular, machine learning automates "what if" analysis by modeling a range of scenarios and prescribing actions that can help the organization achieve optimal results.


How Machine Learning Uncovers Opportunities For Business Optimization

#artificialintelligence

With ever more data being generated across modern businesses, companies are looking for actionable intelligence to drive optimization, increase margins and avoid supply chain distributions. The sheer volume of data can make it difficult to see trends; this is where machine learning is a revolution for business intelligence. Machine learning is a type of artificial intelligence (AI) that powers computers with the ability to learn without being explicitly programmed. It excels at finding anomalies, patterns and predictive insights in large datasets -- the data lakes -- by reporting on historical data as well as deploying models built to forecast likely outcomes. In particular, machine learning automates "what if" analysis by modeling a range of scenarios and prescribing actions that can help the organization achieve optimal results.


Big data analysis by neural networks Learn Neural Networks

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Big data is used to train and apply machine learning models in banking, insurance, and healthcare. Combining data in a data warehouse is crucial in the development of machine learning algorithms in industry, which creates a problem of data security and limited computing resources. Artificial neural networks in big data are known for their efficiency and effectiveness for small data sets. They cover search websites, ranking algorithms, recommendation and citation systems. The purpose of this paper is to present the progress, challenges, and opportunities for future research regarding the use of artificial neural networks in big data analysis, and the result of possible achievements of certain advances.


An ethically mindful approach to AI for health care

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These data, if harnessed appropriately, could enable health-care providers to target the causes of ill-health and monitor the effectiveness of preventions and interventions. For this reason, policy makers, politicians, clinical entrepreneurs, and computer and data scientists argue that a key part of health-care solutions will be artificial Intelligence (AI), particularly machine learning.


8 ways AI can help save the planet 7wData

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All the pieces are coming together: big data, advances in hardware, emerging powerful AI algorithms, and an open source community for tools that reduces barriers to entry for industry and start-ups alike. The result: AI is being propelled out of research labs and into our everyday lives, from navigating cities, ride shares, our energy networks, to the online world. In 2018 everyone is starting to see the business value of AI. It is being added to more and more things every year, and it is getting smarter and smarter – accelerating human innovation. But as AI becomes more powerful, more autonomous and broader in its use and impact, the unsolved issue of AI safety is paramount.


Humble Data Science & Machine Learning Bundle

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Here at Humble Bundle, you choose the price and increase your contribution to upgrade your bundle! This bundle has a minimum $1 purchase. All of the content in this bundle is available on most internet browsers. Choose where the money goes - between the publisher, WIRES and RSPCA Australia, supporting the wildlife and animals affected by the Australian bushfires, and a charity of your choice via the PayPal Giving Fund. If you like what we do, you can leave us a Humble Tip too!


Big Data and AI

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How AI can help enterprises unlock the value of their data and drive innovation Forbes recently reported that 80% of Forbes 100 CIO's believe that adapting AI data solutions is critical to their survival. At the same time, the head of AI at TD Ameritrade notes that companies are exploiting only 20% of their data, meaning an astounding 80% of corporate data is simply wasting away unexploited. In this webinar, Brian Dolan of Verdant AI will explore the various risks enterprises face in ignoring these potential data goldmines and how outsourcing innovation can mean the difference between survival and irrelevance. You'll learn how several companies are gaining a strong competitive edge through AI innovation and how several others have suffered extinction because they failed to do so. You'll also learn how AI and big data can be a major driving force behind your company's innovation strategy and why companies are looking to external innovation labs to solve major challenges.


Global Big Data Conference

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Machine learning algorithms aren't just technological novelties relegated to tasks like picking out faces in crowded places. In the enterprise, they can surface patterns and relationships that would otherwise have been missed. To do just that, Outlier.ai's business analysis platform extracts data from internal and external sources and analyzes it to spot critical changes in behavior. Investors see potential -- a year after experiencing 400% growth, Oakland, California-based Outlier today announced that it has raised $22.1 million in a series B funding round led by Emergence, with participation from existing investors Ridge Ventures, 11.2 Capital, First Round Capital, Homebrew, Susa Ventures, and SV Angel, bringing its total raised to over $30 million. Cofounder and CEO Sean Byrnes says the funding will be used to accelerate growth and make strategic hires across Outlier's Oakland headquarters, as well as offices in Virginia Beach, Virginia and Europe.


Best Artificial Intelligence Quotes - Supply Chain Today

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Here is a wide assortment of artificial intelligence quotes. Once you read some of the quotes it is easy to see why AI is so important. "Google will fulfill its mission only when its search engine is AI-complete. You guys know what that means? "Artificial Intelligence is the new electricity." "I am telling you, the world's first trillionaires are going to come from somebody who masters AI and all its derivatives,and applies it in ways we never thought of." "Cyber hygiene, patching vulnerabilities, security by design, threat hunting and machine learning based artificial intelligence are mandatory prerequisites for cyber defense against the next generation threat landscape." "Every serious technology company now has an Artificial Intelligence team in place.