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AI startups are ready to take on Fortune 500

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In another example of disruption through AI, travel companies have begun using behavioral data and predictive analytics to customize brand experiences based on individuals' preferences and patterns. Automating IT functions alone reduces expenses by 14 to 28 percent, so companies that launch using automated services quickly establish a financial advantage over larger, legacy-burdened competitors. Some tech experts believe that the current generation of applied AI systems, such as predictive analytics, will give small businesses advantages through increased automation and efficiency. New BI platforms offer data visualization, customer relationship management programs, and other critical BI services.


Top Five Content Management Challenges @CloudExpo #Cloud #DevOps #DigitalTransformation

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We are in the midst of a great evolution when it comes to website design. Formerly text-heavy sites now rely on eye-catching images and video to draw in visitors, improve engagement rates and drive readership. Articles with relevant images get 94 percent more total views, according to digital marketing expert Jeff Bullas. And images are vital to websites influencing page views and user engagement for news articles, press material, local search, eCommerce, and social media. The addition of rich media is not the only factor impacting web design today.


Why Car Companies Need To Become Software Companies – Self-Driving Cars

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Car companies are undergoing a period of incredible change. Historically, the industry has represented a standard hardware-based business model, with seven year development cycles for new product releases. Increasingly however, the value of modern vehicles is being defined more by their digital touchpoints (i.e. One report from Morgan Stanley estimated that while 90% of the value of today's vehicles comes from hardware, this would fall to about 40% in an autonomous car environment. Based on the size of the global car market last year alone, that represents a shift of over $4 trillion towards installed software and digital experiences.


Tech Talk: Google Home's Performance Is Still Unknown Androidheadlines.com

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The idea of Google Home is futuristic and pretty great, but still very much cut and dry. In essence, it's meant to be a smart home hub that can power your IoT devices, communicate with just about every gadget you own, act as a speaker, take commands, and use Google's advanced artificial intelligence, machine learning and neural networking technologies to serve you in ways you may not think of. In essence, it's the ultimate form of Google Now, brought into your home and powered by Google's new Assistant. Google Home looks set to take the smart home control hub niche to a whole new level with the help of Google's advanced technologies. There are a few issues, however, and one is that we don't know much about Google Home just yet, and this makes it difficult to gauge consumer interest and how well it may compete in the marketplace.


Using Artificial Intelligence to Personalize Communications

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At a time when the banking industry needs to become increasingly focused on creating better customer experiences, the importance of distributing personalized communications that provide real value has never been greater. Wealth managers, for example, are utilizing a subfield of artificial intelligence, advanced natural language generation (NLG), to automatically write investment portfolio commentary that informs investors about fund performance. Another sub-field of artificial intelligence, machine learning, is enabling banks to undertake predictive customer interaction management. Finally, narrative generation will increasingly be used to provide insights to consumers about their financial relationships and changes in financial well being in real time.


Using Artificial Intelligence to Personalize Communication

#artificialintelligence

At a time when the banking industry needs to become increasingly focused on creating better customer experiences, the importance of distributing personalized communications that provide real value has never been greater. Wealth managers, for example, are utilizing a subfield of artificial intelligence, advanced natural language generation (NLG), to automatically write investment portfolio commentary that informs investors about fund performance. Another sub-field of artificial intelligence, machine learning, is enabling banks to undertake predictive customer interaction management. Finally, narrative generation will increasingly be used to provide insights to consumers about their financial relationships and changes in financial well being in real time.


Investing in Artificial Intelligence: A VC perspective

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The key takeaway points are a) the financing and exit markets for AI companies are still nascent, as exemplified by the small rounds and low deal volumes, and b) the vast majority of activity takes place in the US. There's loads of applications for artificial intelligence here: intelligence sensors, signal processing, anomaly detection, multivariate classifiers, deep learning on molecular interactions… A point worth noting is that the UK has a slight leg up on the data access front. Think of all the productised SaaS tools that are available off the shelf for CRM, marketing, billing/payments, logistics, web development, customer interactions, finance, hiring and BI. Perhaps we could eventually re-image the new eBay, where you'll have fully automated inventory procurement, pricing, listing generation, translation, recommendations, transaction processing, customer interaction, packaging, fulfilment and shipping.