5 supply chain technologies that deliver competitive advantage MIT Sloan

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Facing globalization, increased product complexity, and heightened customer demands, companies are taking up advanced technologies to transform their supply chain from a pure operations hub into the epicenter of business innovation. Using sensors and ever-improving internet connectivity, forward-thinking companies are collecting data at every checkpoint, from the status of raw materials flow to the condition and location of finished goods. Machine learning, artificial intelligence (AI), and advanced analytics help drive automation and deliver insights that promote efficiencies -- making on-the-fly route changes to accelerate product delivery, for example, or swapping out materials to take advantage of better pricing or availability. Additive manufacturing is also opening doors to easy production of spare parts, enabling companies to slash inventory, cut costs, and create supplementary revenue streams. These advanced technologies are serving as a springboard for new business models -- for example, many firms are piggybacking off the "internet of things" (IoT) to offer predictive maintenance services that guarantee product uptime while generating recurring revenue.



Grasping the Potential in a New Era of Digital, Cloud and Intelligent Automation

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In order to capitalise on the freedom of choice provided by the common denominator IaaS market (currently Azure, AWS and Google), tools and architectures that support portability both in delivery and ops will rise in popularity. Gordon Cullum is Chief Technology Officer at Mastek. Mastek is a global technology company offering enterprise level digital transformation services and software for large public and private enterprises in the UK, US and India.


The Attention Mechanism in Natural Language Processing - seq2seq

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The Attention mechanism is now an established technique in many NLP tasks. I've heard about it often, but wanted to go a bit more deep and understand the details. In this first blog post - since I plan to publish a few more blog posts regarding the attention subject - I make an introduction by focusing in the first proposal of attention mechanism, as applied to the task of neural machine translation. To the best of my knowledge the attention mechanism within the context of NLP was first presented in "Neural Machine Translation by Jointly Learning to Align and Translate" at ICLR 2015 (Bahdanau et al. 2015). This was proposed in the context of machine translation, where given a sentence in one language, the model has to produce a translation for that sentence in another language.


[eBook] Driving value with Big Data and Machine Learning

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According to research by Tractica, machine learning applications are expected to bring more than $107 billion in annual enterprise revenue by 2025, up from just $7.6 billion in 2018. There are no fewer than 167 existing enterprise AI use cases for technologies like speech recognition, natural language processing and generation, computer vision and sentiment analysis. In this eBook, sponsored by Dow Jones, we look at real-life examples of ML and AI working in concert with the latest data analytics technologies to change the way people do business. We talk to experts in the field who share their insights into the current and upcoming developments in this space. This eBook is essential reading for any decision-maker looking for ways to transform their organization and prepare it for a digital future.


Pioneer in oncologic imaging, Beets-Tan, addresses audience at ECCO summit on implications of AI in radiology

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The European CanCer Organisation (ECCO) is a not-for-profit federation of member organisations working in the area of cancer. It convenes oncology professionals and patients to be the united voice of Europe's cancer community. ECCO's annual European Cancer Summit brings worldwide healthcare leaders together in a unique multidisciplinary forum. In September 2019, ESR 2nd Vice-President, Professor Beets-Tan, took the floor at the European CanCer Organisation's renowned annual summit to discuss the positive impact of artificial intelligence (AI) on the quality of care and its place in radiology. In a session titled "Artificial Intelligence: Breaking down borders in cancer care in ways not yet known?", and before an audience of global leaders representing cancer care, research, patient advocacy and public-private sectors, she delivered a talk on the way AI will transform healthcare roles and skills.


How to save America with artificial intelligence

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Political polarization is ripping America apart. References to a second American civil war – no matter how far-fetched – reveal a bitterly divided nation. Indeed, the Founding Fathers' worst nightmare is coming to pass. For all of its promise, technology bears much of the blame for fracturing America. For one, social media platforms create powerful "echo chambers" that feed us a nonstop diet of one-sided, hyper-partisan news and commentary.


From digital transformation to digital expansion

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Transformation is defined by a change in state over a period of time. This is often an ongoing, natural process. For example, as humans we spend our entire lives constantly transforming, both physically and mentally, whether that's growing taller and stronger, or developing emotional intelligence. But sometimes transformation is a necessity, often resulting from the need to adapt to new circumstances. However, regardless of circumstance, transformation can never be instantaneous, and digital transformation for businesses is no exception.


Wharton Launches Online Course on Artificial Intelligence for Business

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Wharton Online's newest program based on best-selling book "A Human's Guide to Machine Intelligence" Artificial intelligence (AI) is embedded in nearly every aspect of daily life, from entertainment (e.g. To address the risks, opportunities and challenges of implementing artificial intelligence into business practice, the Wharton School of the University of Pennsylvania is pleased to announce a new online program: Artificial Intelligence for Business. This four-week program, Wharton's first public offering to address AI, can help working professionals successfully navigate today's technological changes so they can create the innovations of tomorrow. Based on the best-selling book, A Human's Guide to Machine Intelligence, by acclaimed Wharton professor Kartik Hosanagar, the Artificial Intelligence for Business program is designed to provide learners with insights into both established and emerging developments in AI, Big Data, Machine Learning, and the operational changes AI will bring. The lessons within this course are applicable to multiple industries and dynamic markets.


Artificial Intelligence Innovation - top 15 countries 1990 - 2020

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Publications, citations, conference papers, awards, patents and investment are all indicators of innovation in a given field. While there is no perfect measure, we chose the peer-reviewed publications in AI journals as a compromise between history of data, completeness, reliability and coherence. This video shows the trends of artificial intelligence innovation worldwide by country based on this measure, from the AI Index report 2019. Artificial intelligence, machine learning and deep learning in particular are transforming all industries enabling people to perform tasks better and faster, make better decisions, optimizing processes, or automating tasks among others. With the fast growth in compute power and data availability, complex algorithms can learn and extract information from huge amounts of data - big data - that humans cannot.