Source- forbes.com A University of Nottingham study says Artificial Intelligence (AI) and Machine Learning (ML) can predict premature death, a capability that could revolutionize preventative healthcare. In a study of over half a million people between the ages of 40 and 69, Nottingham’s team of healthcare data scientists and doctors have developed and tested their system Read More

Read More

Source- searchenterpriseai.techtarget.com While the conversation about artificial intelligence is centred on augmenting the enterprise or adding value to daily lives, there is also unique interest and effort in applying AI to creative human pursuits. While artificial intelligence creativity might not seem relevant to enterprises, the use of machine learning to generate images and video, craft text Read More

Read More

Source- forbes.com There’s no doubt that artificial intelligence (AI) is a transformative technology – perhaps even the most transformative technology available today. But if you think the transformative nature of AI is limited to global tech giants and blue-chip companies, think again. AI is ultimately going to transform every business, in every industry. That’s why every company needs an AI strategy. Read More

Read More

Source- dailystar.co.uk The world of AI and automatons is rapidly developing as industries use to emerging technologies to gain a competitive edge, such as in the automobile industry. But there are concerns that such speedy innovation could have unintended and widely unforeseen effects on the human population of the world. Some experts in the field believe a consequence Read More

Read More

Source- zdnet.com The UK’s National Health Service continues to suffer the longest funding squeeze since it was established 71 years ago. That financial pressure has resulted in the service missing targets for how soon cancer patients should be referred for treatment for the past three years and waiting times in Accident and Emergency departments being at record levels. Such Read More

Read More

Source- healthitanalytics.com Artificial intelligence is quickly taking root in the healthcare ecosystem by supporting better clinical and financial decision-making. Providers and executives now have access to much more actionable insights derived from natural language processing (NLP), deep learning, neural networks, and other advanced machine learning techniques. These strategies aren’t just revolutionizing the way providers make decisions.  Artificial intelligence Read More

Read More

Source- forbes.com In our digital age, advanced analytics including artificial intelligence (AI) and machine learning (ML) have become valuable tools in business decision making. Businesses are gathering and processing more data than ever before and investing considerable resources to drive analytics-based decisions. With an exponential volume of information flowing on a daily basis, businesses have struggled Read More

Read More

Source- customerthink.com Machine learning (ML) algorithms are changing nearly every industry. They’re increasing productivity, boosting sales and helping us make more informed decisions. Many organizations are either already leveraging the power of ML, or have it laid out in their roadmap as an opportunity worth pursuing. Trouble is, ML is complex and you might ask Read More

Read More

Source- thehill.com They’re called salespeople, but they spend shockingly little of their time selling. Instead, their days consist of administrative work, manual data entry, looking for potential customers and communicating with those prospects: cold calling, sending emails, scheduling meetings and having conversations — many of which lead to nothing. This is both time-consuming and expensive for companies. Read More

Read More

Source- bgfalconmedia.com BGSU is gradually implementing artificial intelligence, or machine learning, on campus in ways that should theoretically be able to help with efficiency and compensate for human errors while supplementing our strengths. Machine learning is the capability of computers to learn new information without someone giving specific instructions to them. They learn by analyzing patterns Read More

Read More

Source- cmswire.com Marketing technology has evolved rapidly over the past decade, with one of the most exciting developments being the creation of publicly-available, cost-effective cognitive APIs by companies like Microsoft, IBM, Alphabet, Amazon and others. These APIs make it possible for businesses and organizations to tap into artificial intelligence (AI) and machine learning (ML) technology for Read More

Read More

Source- emarketer.com Although many marketers rely on simplistic or outdated attribution models, improvements are being made. We forecast that 58.3% of US companies will use multichannel attribution for their digital marketing efforts in 2019, up from 48.6% in 2017. Multichannel attribution assigns marketing credit to more than one marketing channel or touchpoint. It also provides more Read More

Read More

Source- searchnetworking.techtarget.com Machine learning has become a valuable component of network security products, but technology is a mixed blessing. Unfortunately, hackers can also employ machine learning. Machine learning in network security separates legitimate network and application operations from attacks by building a set of rules that characterize both activities. Meanwhile, attackers can use machine learning to probe Read More

Read More

Source- healthitanalytics.com Medical imaging and machine learning are on a collision course that promises significant advancements in diagnostics and precision medicine, according to a new report from Frost & Sullivan. Advances in artificial intelligence and powerful computing technologies to support highly detailed imaging studies are driving opportunities for vendors and providers to capture a segment of a quickly Read More

Read More

Source- jamaica-gleaner.com Machine learning is a subcategory of artificial intelligence where one builds models, programmes and applications, which become more accurate over time at predicting outcomes without explicitly being scripted or programmed to do so. With machine learning, one creates or defines algorithms that can receive input data and use a ­combination of statistical analysis Read More

Read More
Artificial Intelligence