Europe, while making progress, is behind the US and China in capturing the opportunities of artificial intelligence and automation. Digitization is everywhere, but adoption is uneven across companies, sectors, and economies, and the leaders are capturing most of the benefits. Accelerating progress in AI and automation now bring further opportunities for users, businesses, and the economy. Europe, while making progress, is behind the United States and China. This briefing note was prepared for the European Union Heads of State Tallinn Digital Summit, which brought together heads of state and CEOs to discuss the steps needed to enable people, enterprises, and governments to fully tap into the potential of innovative technologies and digitization.
In 2016 it got exponential growth over 2012 and 2017 figures till Sept equally critical is delivering this performance with reduced silicon (all grey & thin areas) area and industry power consumption. Machine learning helps in reducing the required efforts bandwidth between the buyer, seller and manufacturers such bandwidth reductions also reduce the cost and required time. In eCommerce AI based technologies like Big Data, Machine Learning, Neural Networks, Data Science, Bots and Deep Learning (mainly for secured online payments) are currently buzzwords. To safe guard the business from anti social elements deep learning helps in fraud detection, prevention, velocity measure and makes better business decisions with deep understanding of entity resolution (avoid multiple accounts of same person), Image recognition and understanding, Concept extraction, sentiment and trend analysis makes buyers life easy to choose and buy.
We estimate that Europe has captured only 12 percent of its potential from digital technologies, ranging from 10 percent in Germany to 17 percent in the United Kingdom. As a consequence, Europe is a net importer of digital services, running a digital trade deficit with the United States amounting to nearly 5.6 percent of total EU-US services trade. Digital cross-border flows beyond e-commerce, including web and video applications that have the potential to be produced domestically, could also increase as companies take advantage of the single market's scale. These advances will provide national economies with a much-needed boost to productivity and enable companies to realize substantial performance gains.
In view of falling oil prices and the resulting squeeze on cash flows, the oil and gas industry has been challenged to adapt and optimize its performance to remain profitable while maintaining a long-term investment and operating outlook. Additionally, geoscientists can better assess variables such as the rate of penetration (ROP) improvement, well integrity, operational troubleshooting, drilling equipment condition recognition, real-time drilling risk recognition, and operational decision-making. AI can help to create tools that allow asset teams to build professional understanding and identify opportunities to improve operational performance. By using AI software to analyze the company's large collection of historical well performance data, the company is drilling in better locations and has seen production rise 30% over conventional methods.
Rely on the Intel Nervana AI Academy to help you increase your knowledge base and put machine learning to use quickly, efficiently, and cost-effectively on Intel architecture. In this webinar, we continue our exploration of deep learning topics including multilayer perceptron, convolutional neural networks, recurrent neural networks, cost functions, and back propogation. See practical examples and discover new opportunities to apply AI in the real world. See practical examples and discover new opportunities to apply AI in the real world.
Driving our vehicles, operating planes, managing financial markets, controlling asset transactions, diagnosing and treating ailments, and running vast electrical, fuel, and transportation networks are all within reach of AI. AI systems are expected to improve the lives of billions of people and the condition of the planet in many different ways, including detecting leaks in pipes to reduce waste and avoid environment disasters, optimizing crop yields to reduce starvation, configuring manufacturing lines for efficient automation, and identifying threats to people's health and safety. The trust that AI brings, in reliably making smart decisions, will allow digital devices to manipulate, interact, and control aspects of the physical world. In the future, artificial intelligence will greatly benefit the operation, efficiency, and quality of these and other infrastructure critical to daily life.
To ensure our insights best align with our client's internal operations, we classify keywords into their internal product hierarchy. For example, by combining data on search demand around keywords with click-through rate and search position data, we can model what proportion of traffic our client is capturing by product category. JC: Machine learning offers enormous opportunities in ecommerce, from product classification to customer segmentation to product recommendation. Whether it's clustering thousands of customers into segments, or making personalised product recommendations to its customers, even the smallest retailers can benefit from machine learning.
A study conducted by Accenture and published in MIT Sloan Management Review reveals that 38% of early business adopters "credited machine learning for improvements in their key performance indicators for sales -- such as new leads, upsells, and sales cycle times -- by a factor of 2 or more, while another 41% created improvements by a factor of 5 or more." When you consider that currently salespeople devote only 35.9% of their time to actual selling, the big picture machine learning creates becomes clear: letting machines take over routine, easily learned tasks leads to higher productivity, shorter sales cycles, happier reps, and more revenue. After comparing these findings with the actual performance of each rep, the algorithms made specific course-correction recommendations, equipping sales managers with information that has proved crucial to helping their salespeople improve performance. A chatbot is a conversational interactive interface that acts as a personal adviser and makes recommendations for a compensation plan that ensures selling behaviors align with business objectives and sales goals.
DevOps at Cloud Expo taking place October 31 - November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA, will feature technical sessions from a rock star conference faculty and the leading industry players in the world. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation. The upcoming 21st International @CloudExpo @ThingsExpo, October 31 - November 2, 2017, Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY announces that its Call For Papers for speaking opportunities is open. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-4, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation.
Data's emergence as a critical business asset has been a persistent theme in every Tech Trends report, from the foundational capabilities needed to manage its exploding volumes and complexity to the increasingly sophisticated analytics tools techniques available to unearth business insights from data troves. We are talking here about a number of cognitive tools that have evolved rapidly in recent years: machine learning, deep learning, advanced cognitive analytics, robotics process automation, and bots, to name a few. Effectively managing rapidly growing data volumes requires advanced approaches to master data, storage, retention, access, context, and stewardship. They may offer even greater business potential in the area of customer service, where cognitive agents could potentially replace some human agents by handling billing or account interactions, fielding tech support questions, and answering HR-related questions from employees.9 Cognitive automation: In the third--and potentially most disruptive--machine intelligence opportunity, machine learning, RPA, and other cognitive tools develop deep domain-specific expertise (for example, by industry, function, or region) and then automate related tasks.