SAP - Future of Enterprise PaaS (Cloud Foundry Summit 2014)

| June 20, 2014

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Keynote presented by Steve Winkler, Open Cloud Strategy at SAP; and Dirk Basenach, VP of Development at SAP. There are many approaches to running enterprise applications in the cloud, and SAP has made a strategic choice to leverage the Open Source solution Cloud Foundry for this purpose. This presentation will provide details on SAP's approach to Open Source in the cloud, focusing on the PaaS layer and showing how Cloud Foundry can be used to extend existing SAP products and to develop entirely new enterprise applications. Moreover, the presentation will show how the SAP HANA in-memory platform and Cloud Foundry will come together to provide an enterprise-grade, real-time open platform in the cloud.

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Icertis, the leading enterprise contract management platform in the cloud, solves the hardest contract management problems on the easiest to use platform. With Icertis, companies accelerate their business by increasing contract velocity, protect against risk by ensuring regulatory and policy compliance, and optimize their commercial relationships by maximizing revenue and reducing costs.

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AI in Marketing: Impact and Methods

Article | August 25, 2021

If you ask how Jeff Bezos is one of the most successful entrepreneurs today, you receive a good deal of answers. nd one of those answers is that he initiated innovation in marketing. He implemented marketing and strategized it in a way that they have become the new rules for successful marketing. He utilized marketing techniques from word of mouth and advertisements to a technology like AI. If Alexa knows that you ordered 10kg of flour last month and have a family of four, the device will remind you to reorder it before you are out of flour. Thanks to AI, marketing has become simpler with predictive analysis. And, with the merging of IoT, automation, AI, and machine learning, marketing has become more personalized. The traditional ways of marketing are still in practice, but AI is sure to revolutionize the marketing industry, shorten the sales cycle, and broaden the pipeline. With these new trends in marketing automation, let us see how you can implement AI marketing to boost your sales. Understanding AI Marketing Methods Before implementing AI marketing, you need to understand your target audience and the market. Once you have a thorough knowledge of what you offer and what your customers need, your marketing solutions can be designed accordingly. As a seller, you may think of AI as abstract. But the amount of data that you have is the best source of solution for your marketing. Once you have digitalized your business, implementing automation and AI becomes an effortless task. All you have to do is apply the right software, advertise on the proper mediums and keep your business active on the customer feed. Those above may sound complicated, but you do not have to worry about the technical part. You need to provide the correct data, and the machines are at your disposal. Here are a few components of AI marketing platforms that have impacted and will impact marketing for years to come. Once you have an idea of them, you will know how your sales graph will rise with data-driven technologies combined with automation. Components of AI in Marketing Deep Learning Deep learning allows you to understand how a customer thinks, purchases, decides and reacts to a shopping process. Deep learning lets a machine simplify data complexity and make the best use of the available data. Deep learning not only predicts the customer’s behavior but also predicts product marketing. It helps you analyze your product selling options based on seasons, holidays, consumer behaviors, sales, competition, and a lot more. It also advertises your businesses on consumer behavior patterns. Deep learning helps you target the market on a trial basis with minimum investment. This assists you in taking risks and calculating them. Marketing Automation Automation marketing has taken customer experience to another level. You can use any suitable software for e-mail marketing, social media marketing, and ad campaigns. Marketing automation helps to personalize the customer experience. For example, you can target your customers by sending them birthday, anniversary coupons, creative reminder mails, or simple content about your new services or products. These small gestures guarantee 50% more sales at almost 33% lower costs. AI with automation marketing includes lead generation, marketing campaigns, data analytics, data reporting, predictive analysis, etc. Thus, incorporating marketing automation in any size of business promises a host of benefits. Machine Learning Machine learning helps you to design suitable content for the target audience. Implementation of machine learning provides 57% more enhanced customer experience than any other marketing technique. The best example of machine learning is AWS (Amazon Web Services) which is available for everyone to customize the services according to the customer’s demands. The combination of AI and machine learning is 100% successful in optimizing data and content. As a result, it assures 44% customer retention. Thus implement AI marketing tools to have a loyal customer base. To start with, incorporate chatbots into your websites and revolutionize your customer experience. The Game Has Changed. Businesses have already started including marketing automation techniques. As a result, most of them have seen their sales graph soar with the correct practices. Some of the benefits of marketing automation are: Risk management Enhanced customer experience Content optimization Profitable marketing efforts The bottom line is that the future of artificial intelligence in marketing is a promising one. It has already transformed the marketing world, and the results are inevitably positive. Thus, implementing the above AI marketing techniques is essential for the sustainable future of every business. Frequently Asked Questions How can AI be used in marketing? AI is used in marketing by incorporating automation software. This software interacts with customers in real-time and can communicate seamlessly. The best example is chatbots. AI studies data, processes it and uses it to provide a personalized experience to the customers. How is AI reshaping marketing? AI studies each customer individually. Then, according to their behavior and shopping patterns, it provides them suggestions. As a result, it enhances the customer experience. And when the customer feels connected to the brand, they are bound to return. Thus, the incorporation of AI in marketing brings out the best customer retention. How does AI impacts digital marketing? AI marketing uses predictive analysis and provides a personalized customer experience. As a result, they help target the right audience and create successful campaigns which ensure guaranteed ROI with minimum investment. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "How can AI be used in marketing?", "acceptedAnswer": { "@type": "Answer", "text": "AI is used in marketing by incorporating automation software. This software interacts with customers in real-time and can communicate seamlessly. The best example is chatbots. AI studies data, processes it and uses it to provide a personalized experience to the customers." } },{ "@type": "Question", "name": "How is AI reshaping marketing?", "acceptedAnswer": { "@type": "Answer", "text": "AI studies each customer individually. Then, according to their behavior and shopping patterns, it provides them suggestions. As a result, it enhances the customer experience. And when the customer feels connected to the brand, they are bound to return. Thus, the incorporation of AI in marketing brings out the best customer retention." } },{ "@type": "Question", "name": "How does AI impacts digital marketing?", "acceptedAnswer": { "@type": "Answer", "text": "AI marketing uses predictive analysis and provides a personalized customer experience. As a result, they help target the right audience and create successful campaigns which ensure guaranteed ROI with minimum investment." } }] }

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The Nuts and Bolts of Deep Learning Algorithms for Object Detection

Article | August 25, 2021

You just got a new drone and you want it to be super smart! Maybe it should detect whether workers are properly wearing their helmets or how big the cracks on a factory rooftop are. In this blog post, we’ll look at the basic methods of object detection (Exhaustive Search, R-CNN, Fast R-CNN and Faster R-CNN) and try to understand the technical details of each model. The best part? We’ll do all of this without any formula, allowing readers with all levels of experience to follow along! Finally, we will follow this post with a second one, where we will take a deeper dive into Single Shot Detector (SSD) networks and see how this can be deployed… on a drone.

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Why AI might be the most effective weapon we have to fight COVID-19

Article | August 25, 2021

If not the most deadly, the novel coronavirus (COVID-19) is one of the most contagious diseases to have hit our green planet in the past decades. In little over three months since the virus was first spotted in mainland China, it has spread to more than 90 countries, infected more than 185,000 people, and taken more than 3,500 lives. As governments and health organizations scramble to contain the spread of coronavirus, they need all the help they can get, including from artificial intelligence. Though current AI technologies are far from replicating human intelligence, they are proving to be very helpful in tracking the outbreak, diagnosing patients, disinfecting areas, and speeding up the process of finding a cure for COVID-19.

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Programming languages: Python and Java VS Code extensions get these new updates

Article | August 25, 2021

Microsoft has launched the March replace for its fashionable Python extension for Visible Studio Code (VS Code), its extensively used cross-platform code editor. It is also launched an replace for Java on VS Code with assist for the IDE extension, SolarLint. Probably the most notable change within the Python for VS Code replace is a brand new Microsoft-built Python debugger called debugpy, an implementation of the Debug Adapter Protocol for Python. The software permits builders to debug script recordsdata and modules from the command line, in addition to allow debugger logging. Till now, VS Code had built-in debugging assist for JavaScript, TypeScript, Node.js, and so forth, whereas extensions from the VS Code market enabled assist for different languages like Python, Go, C# and C++.

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Icertis

Icertis, the leading enterprise contract management platform in the cloud, solves the hardest contract management problems on the easiest to use platform. With Icertis, companies accelerate their business by increasing contract velocity, protect against risk by ensuring regulatory and policy compliance, and optimize their commercial relationships by maximizing revenue and reducing costs.

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