Source- emarketer.com Although many marketers rely on simplistic or outdated attribution models, improvements are being made.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
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Source- zdnet.com Despite acknowledging the value of AI and machine learning technologies most business organizations are lagging behind in using them reports a survey from RELX Group. More than 91 percent of senior executives polled understood that AI and machine learning were important but only 56 percent were using them and 18 percent could not say how the Read More
Source – devops.com There’s been a lot of media attention in recent years about how artificial intelligence (AI) and machine learning (ML) are going to change the world—how they’re going to create new and interesting applications in fields as diverse as education, law, health care and transportation. This may happen. But if I had to bet on Read More
Source – cioreview.com As a digital marketer, have you ever created a spreadsheet containing the individual purchase history of all consumers searching for a product in your category, the time of day they’re most likely to purchase, the type of device they’re using when they last made a purchase, their location when they made that purchase, Read More
Source – forbes.com All the marketing behind artificial intelligence today reminds me of the push for the cloud (never worry about infrastructure maintenance again!) and big data (kiss concerns about structuring your data goodbye!) just a couple years ago. Sure, we all benefited from moving to the cloud and getting smarter about working with structured vs. non-structured Read More
Source – forbes.com Ben Gurion, the main international airport in Israel, is one of the most protected airports in the world. It is known for its multilayered security. On the way from the office to the airport, you get caught in the lens of airport cameras. The road curves several kilometers to the terminal, and when Read More
Source – nasdaq.com Slowly but surely, artificial intelligence (AI) is becoming an integral part of our lives . Of course, we don’t have AI-enabled robots running errands for us just yet, but tech companies are integrating the technology very subtly into things that we interact with every day. From Googlesearches to automatically tagging photos on Facebook , and talking to Siri Read More
Source – forbes.com Ranked No. 1 overall as the best job in America by Glassdoor, data scientists have quickly risen in prominence and critical importance within organizations. As technologies like the cloud, IoT and AI transform both the amount of intelligence companies can access as well as the speed at which they can innovate, a strong team of data scientists is no longer Read More
Source – chiefmarketer.com What does machine learning (ML) really mean for marketers? Here’s three key facts you need to know. 1.Machine learning isn’t new. Machine learning, a method for transforming data into practical knowledge through the application of computer programs that automate the process of statistical modeling and data mining, has been around for a while. A lot of Read More
Source – theguardian.com Equifax, one of the largest credit reporting agencies, revealed on Thursday that it was hacked back in May, exposing the personal data of up to 143 million people. The data accessed by hackers contains extremely sensitive information like social security numbers, birth data, consumer’s names, driver’s license numbers and credit card numbers. This breach is Read More
Source – information-age.com The march of the machines is upon society: the vast power of machine learning has been freed from the confines of IT laboratories and is disrupting businesses across the world, delivering deep insight, accurate predictions and detailed learnings that have the potential to make huge transformation. But there’s an issue: these immense, invaluable Read More
Source – betanews.com In my series, I’ve looked at the different ways in which data can be deployed to help people make decisions. Over time, more of the decision-making process has shifted from people manually collating data from different sources in their heads to using data sets that can be automatically joined together. This networked approach Read More
Source – firstpost.com Reskilling is the buzzword in the IT sector. With the sector seeing huge churn due to automation and protectionism in the western markets, industry lobby group Nasscom’s president R Chandrashekhar told employees in May: Re-skill or perish. Yes, that’s true. The sector is seeing layoffs and voluntary severances. Companies’ hiring is on the Read More
Source – tech.co Artificial intelligence has been a mainstream science-fiction dream ever since the release of “2001: A Space Odyssey.” In 2017, the tech industry has proven that this technology isn’t a fantasy, but a concept that is driving modern innovation. Today, there are four revolutionary changes being made possible by modern AI algorithms. Natural Language Chatbots Read More
Source – xda-developers.com All too often, we search for an app and end up finding what looks to be the best fit for our needs. But that is until one sees the long list of permissions the application thinks it needs to function. Some developers tend to call for permissions for functionality that their app clearly Read More
Source – searchbusinessanalytics.techtarget.com Data scientists apply machine learning and artificial intelligence algorithms to ever-increasing mounds of data in an attempt to tease out gold nuggets of information that can be used for business benefits. But, while there may be some case studies in which companies boast about their analytics achievements, one might ask how successful the data Read More
Source – techrepublic.com Though everyone seems to be piling on the machine learning bandwagon, it’s a game that only the rich can play, as I’ve written. While open source machine learning projects like Google’s TensorFlow and Amazon’s DSSTNE lower the bar to would-be machine learning engineers, resolving the skills deficit that Gartner analyst Merv Adrian called the Read More
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