The Importance of Data’s Physical Location in the Cloud

| December 28, 2017

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The abstract nature of cloud computing implies that the physical location of data is irrelevant within the cloud. Business transactions occur across international borders. Big data created in one location can then be stored, processed, and pulled from other locations. End users with Internet access can be anywhere in the world.

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SQream Technologies

Big Data Analytics Software Vendor SQream Technologies delivers a high-performing Next Generation GPU-powered SQL database designed to quickly relieve Big Data and complex Analytics pains to enable businesses interact dynamically with their digital assets. With minimum cost, hardware and infrastructure changes required, SQream enables businesses to easily ingest, store and analyze tens to hundreds of terabytes of data and beyond, with ease, in near real-time.

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Top 10 Contact Centre Challenges for Small Businesses

Article | August 17, 2020

As a result of the coronavirus pandemic, all contact centres have rushed to ensure the safety of their employees and find ways to move their agents to work from home. However, according to a recent Contact Babel Report, before the pandemic struck only 4% of UK contact centres were working remotely on a permanent basis. The ‘new normal’ still feels far from normal and contact centres now need to look at building a solid foundation for a work-from-home model, one which addresses technology needs and environment specifics like security and reliability. Small businesses are now looking to best practice guides to have agents up and running in a work at home environment, as well as build agility and scale.

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AI in Marketing: Impact and Methods

Article | August 17, 2020

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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HOW TO DEFINE AN ARTIFICIAL INTELLIGENCE STRATEGY TO MAXIMIZE BUSINESS REVENUE?

Article | August 17, 2020

Artificial intelligence is the most electrifying and exciting technology in the business landscape. It has the potential to drive value across the business, particularly delivering enhanced customer experience, reducing cost and spurring revenue. From smarter products and services to better business decisions and optimized business processes, the technology can transform almost everything. However, before getting started with this disruptive technology businesses need to define their AI strategy effectively in order to boost revenue and accomplish business goals. They must ask themselves how do they create a utilitarian AI strategy to harness its power? What exactly it brings for them and how it helps them in achieving their goals? So, to start modeling an AI strategy is very distinct from creating a traditional business strategy. An artificial intelligence strategy exists to support the business strategy.

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Ericsson selected for AI-based RAN optimization by NTT DOCOMO

Article | August 17, 2020

Ericsson (NASDAQ: ERIC) has been selected by Japanese communications service provider NTT DOCOMO as its AI-based optimization solution vendor for its nationwide radio access network (RAN). The companies have been collaborating on introducing new solutions for decades, recently focusing on 5G proof of concept activities. The AI-based Performance Diagnostic solution for RAN optimization is one such effort and result of this collaboration. Leveraging on Ericsson’s global knowledge and experience, and collaborating with NTT DOCOMO’s network optimization expertise, the AI-based Performance Diagnostic solution will apply innovative machine learning and complex problem-solving techniques to classify cell performance issues and recommend changes.

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Spotlight

SQream Technologies

Big Data Analytics Software Vendor SQream Technologies delivers a high-performing Next Generation GPU-powered SQL database designed to quickly relieve Big Data and complex Analytics pains to enable businesses interact dynamically with their digital assets. With minimum cost, hardware and infrastructure changes required, SQream enables businesses to easily ingest, store and analyze tens to hundreds of terabytes of data and beyond, with ease, in near real-time.

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