Source:- utilitydive.com. Smart technology puts intelligence where it’s needed We often associate artificial intelligence (AI) and machine learning (ML) with exotic applications – self-driving cars, speech and facial recognition, robotic control and medical diagnosis – all powered by massive rows of servers filled with CPUs or GPUs, at some distant data center. But in fact, AI Read More

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Source:- activestate.com. These days, it seems like Machine Learning (ML) is everywhere. Well, everywhere except in legacy applications. But you can hardly blame the application if it was created prior to the recent advances in Python that have made ML mainstream (i.e. the last 3-5 years). Unfortunately, rewriting or refactoring legacy applications is typically a cost-prohibitive non-starter. Read More

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Source:- forbes.com. Turns out after they’ve been trained on enormous datasets, algorithms can not only tell what a picture is such as knowing a cat is a cat but can also generate absolutely original images. The artificial intelligence that makes this possible has matured significantly in recent years and in some applications is very proficient, but Read More

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Source:- searchmicroservices.techtarget.com APIs help run the world. They allow software applications and digital platforms to interact with each other, orchestrating the exchange of requests between apps that have their own architectures. And, when properly managed, APIs ensure a neat, simplified experience for developers. The challenge is to be sure proper API management is entrenched in your Read More

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Source:- smallbiztrends.com our business operates under a rock on an isolated island in the South Pacific. So you know artificial intelligence (AI) is the big thing today. AI assists consumers in their day-to-day activities with or without their knowledge. Consider services like voice assistance, online shopping, content streaming, and even texting. Machine learning (ML) is an application of Read More

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Source:- ciodive.com Large, successful companies are increasingly embracing the value of the data science function and its potential to deliver powerful insights, better outcomes, and personalized customer experiences. Growth in the application of data science is evident in new hiring trends, increased spending in areas like technology and data science, as well as an overall cultural Read More

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Source:- www.forbes.com The 21st century has brought many incredible new technologies that were once dreamed about in old sci-fi epics, and even some technologies we never saw coming. However, artificial intelligence — sometimes called machine intelligence or just AI — is proving to be one of the most disruptive of all. It’s already being applied by businesses across the Read More

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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

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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

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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

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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

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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

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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

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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

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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

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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

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Artificial Intelligence