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AI and the Future of Marketing

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Marketing has reached a tipping point This year businesses and brands will spend more on digital advertising than traditional forms. Total digital ad spending in 2017 will equal $77.37 billion, or 38.4% of total ad spending, while TV ad spending will total $72.01 billion, or 35.8% of total media ad spending, according to eMarketer. The fastest growing component of internet ad spend will be social media, which will grow at an average rate of 20% a year globally to 2019 when it will hit $55 billion, according to Zenith. So although programmatic advertising on digital media sites has long been heralded the future, the smart businesses are looking to social. And together with artificial intelligence (AI) it appears set to transform how companies connect with their target markets.


AIOps tools portend automated infrastructure management

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Automated infrastructure management took a step forward with the emergence of AIOps monitoring tools that use machine learning to proactively identify infrastructure problems. Orchestration tools are becoming increasingly popular as part of the DevOps process as they allow admins to focus on more critical tasks, rather than the routine steps it takes to move a workflow along. Our experts analyze the top solutions in the market, namely: Automic, Ayehu, BMC Control-M, CA, Cisco, IBM, Micro Focus, Microsoft, ServiceNow, and VMware. You forgot to provide an Email Address. This email address doesn't appear to be valid.


Artificial Intelligence Will Automate Business Processes - DZone AI

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Prior to founding CognitiveScale, Matt was the leader of Watson Labs for IBM, and as such he is well versed on cognitive computing and the superconvergence of cloud computing, big data, and artificial intelligence, and how these technologies are disrupting every business process and industry. Q: What are the keys to a successful AI strategy? A: It's a more complex lifecycle than clients may think. We begin by mapping how the AI lifecycle looks and how it fits within the SDLC. We discuss what kind of problems you can solve and how to understand the complexity of the problems we are solving.


Oracle leverages machine learning to manage, secure enterprise systems

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The new Oracle Management Cloud suite combines Oracle Management Cloud, Oracle Application Performance Monitoring Service, and Oracle Infrastructure Monitoring Cloud Service. The new Oracle Management Cloud suite includes the Standard Edition services, as well as Oracle IT Analytics Cloud Service and the new Oracle Orchestration Cloud Service. The Oracle Management Cloud has an analytics engine that is constantly updated with real-world data, providing it with evolving analytics. Oracle has also expanded its Oracle Log Analytics Cloud Service to monitor and analyze security and operational logs from a wide variety of both on-premises and cloud technologies, providing unified monitoring.


MarTech Landscape: What is predictive advertising?

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With predictive analytics powering ad tech, campaigns can target audience segments based on a huge number of behavioral signals, ads can be personalized to be more relevant in the context of the user, and bids can be optimized based on user data -- all faster and with higher success rates than humans can manually. There are several ways in which predictive advertising is being applied to traditional digital advertising tactics, including campaign optimization, media mix modeling, media buying and ad serving. Criteo Predictive Search employs machine learning to automate Google Shopping campaigns, including retargeting to "re-engage high-value users via behavioral targeting technology that programmatically sets bids based on each user's propensity to make a purchase." Having immediate access to models and behavioral data enables the system to identify relevant audiences and make real-time bidding decisions based on a user's predicted interest in a particular product or service.


Fantasy Football Artificial Intelligence Cheat Sheet!

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After hours and days of trial and error (and error and trial again) I feel confident enough to release the culmination of my two previous articles (part 1 & part 2) -- a Machine Learning / Artificial Intelligence fantasy football 2017 cheat sheet. Sometimes the best applications of artificial intelligence and machine learning simply uncover new insights or confirm insights already in hand. So we can infer from this that overall previous year rank is a fairly good indicator of where their rank will be the subsequent year but if we're looking to identify top point scorers or exclude the bottom rung scorers this may not be a great help. It wants us to exclude Quarterbacks to get there and anyone who has the name "ronnie":) Quarterbacks are few and far between and as we traverse the right side of the tree (the high rank number -- lower performance rank) quarterbacks are at the top.


How AI Protects PayPal's Payments and Performance The Official NVIDIA Blog

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With advances in machine learning and the deployments of neural networks, logistic regression-powered models are expanding their uses throughout PayPal. PayPal's deep learning system is able to filter out deceptive merchants and crack down on sales of illegal products. Kutsyy explained the machines can identify "why transactions fail, monitoring businesses more efficiently," avoiding the need to buy more hardware for problem solving. The AI Podcast is available through iTunes, DoggCatcher, Google Play Music, Overcast, PlayerFM, Podbay, Pocket Casts, PodCruncher, PodKicker, Stitcher and Soundcloud.


How AI Protects PayPal's Payments and Performance The Official NVIDIA Blog

#artificialintelligence

With advances in machine learning and the deployments of neural networks, logistic regression-powered models are expanding their uses throughout PayPal. PayPal's deep learning system is able to filter out deceptive merchants and crack down on sales of illegal products. Kutsyy explained the machines can identify "why transactions fail, monitoring businesses more efficiently," avoiding the need to buy more hardware for problem solving. The AI Podcast is available through iTunes, DoggCatcher, Google Play Music, Overcast, PlayerFM, Podbay, Pocket Casts, PodCruncher, PodKicker, Stitcher and Soundcloud.


Playing catch-up in advanced analytics

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Once the company understood the linkages among parameters, it used the latest machine learning and bespoke algorithms to optimize the paper mill for customer requirements. To generate insights from the data sources, companies must also understand the analytical tools and models available and select the right ones. A food manufacturer was able to raise quality and reduce complaints by 90 percent by using infrared (IR) technology to continually monitor quality and optimize parameters to improve flavor characteristics. The company sought to use the latest IR technology to capture data, and then use data analytics to develop a model to evaluate hotness.


6970173#.WV5-sesrKUk

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Data is the foundation of success, from fueling scientific research to delivering a personalized shopping experience. Today's organizations are utilizing machine learning to harness the full power of their data. Data is the foundation of success, from fueling scientific research and creating new medical treatments, to delivering a personalized shopping experience and optimizing business operations. Among these advancements, machine learning is a powerful tool that allows organizations to ingest continuous streams of information and glean actionable intelligence.