DIG DEEP WITH AZURE MACHINE LEARNING

| January 10, 2020

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Use data analysis to take your business to a whole new level. Microsoft Azure Machine Learning simplifies data analysis and empowers you to find the answers your business needs. The question isn’t whether you can find the answers. The question is how

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Testing Software

Testing Software has worked closely as an outsourcing service with the development teams of different software development companies over the past five years. Testing Software has been using formal processes for ‘test plan’ creation and execution which has improved their quality of products and services by implementing the best testing practices into their software life cycle.

OTHER ARTICLES

Achieving a Self-Securing Infrastructure in Public Clouds

Article | July 29, 2020

One thing that most researchers look for when investigating security breaches is whether or not there’s a common element. In the case of security breaches, the kill-chain for almost every cloud security breach we looked at involved the exploitation of misconfigured or mismanaged cloud infrastructure settings. The reason for this is simple; there are just too many settings to track. But even if you could track them all, the time required to manually fix them would still leave you exposed.

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How much AI is too much? Where do we draw the line?

Article | July 29, 2020

Many famous personalities, such as Stephen Hawking, Bill Gates and Elon Musk, have repeatedly said that the further development of artificial intelligence is associated with many potential risks. Exponential growth led to the creation of extremely advanced algorithms much earlier than anticipated. At the same time, technology is penetrating deeper into our lives, starting to be responsible for the stable operation of many applications and even the physical infrastructure. This article will examine the main global threats associated with AI and where we should draw the line.

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Enterprises Start to Find Uses for AI at the Edge

Article | July 29, 2020

Data-driven experiences are rich, immersive and immediate. But they’re also delay-intolerant data hogs. Think pizza delivery by drone, video cameras that can record traffic accidents at an intersection, freight trucks that can identify a potential system failure. These kinds of fast-acting activities need lots of data — quickly. So they can’t sustain latency as data travels to and from the cloud. That to-and-fro takes too long; instead, many of these data-intensive processes must remain localized and processed at the edge and on or near a hardware device.

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AI TECH

5 ways Amazon and Alibaba use AI and data mining to increase e-commerce sales

Article | July 29, 2020

Implementing a marketing mechanism that generates leads and brings in sales is the biggest challenge e-commerce businesses face. However, Amazon and Alibaba, two e-commerce giants seem comfortable in this aspect. They are doing something different. Amazon and Alibaba invest heavily in research and development. Amazon spent $42.7 billion in 2020 on “technology and content." Alibaba spends $8,736 in R&D in 2021. Alibaba’s Tmall Innovation Centre (TMIC) started mining the data of over 600 million users, from its Tmall B2C e-commerce marketplace in 2017. (Atom Thought) The AI exploits of these two e-commerce multinationals cannot be overemphasized. Being a senior software engineer turned management consultant, I can attest to the fact that the majority of e-commerce startups launch and vanish partly because they set out with a vision based on the success of Amazon, Alibaba and eBay. Most e-commerce startups may not basically just want to take over the world per say but to at least control their local markets. Which is not a bad idea. Nonetheless, it remains very difficult to get more customers but Amazon and Alibaba make it seem simple. Why and how? 5 practical ways Amazon and Alibaba use AI and data mining to increase sales. 1: Product recommendation Alibaba and Amazon both use AI and data mining to do effective product recommendations to consumers. Alibaba has developed a software called “E-commerce Brain,” which uses real-time online data to predict consumer wants, and the models are constantly updated for each individual through AI to take into account purchase history, browsing history and online activities. In fact, a team of professors from the University of Toronto notes in a Harvard Business Review that given additional data (such as that provided by Amazon’s purchase of Whole Foods), the company could eventually become so accurate that it could someday turn a profit by shipping people items it predicts they will need. This product recommendation makes buyers interactions on their ecommerce platform intuitive and seductive to stay. 2: They use AI to shorten consumers shopping time AI technologies such as voice and visual search are growing powerfully and most ecommerce giants are making good use of it to shorten consumer shopping time. I enjoy using Amazon’s Alexa on my iPhone 11 pro as it recommends a product or answers a query after a voice search. The fact that voice search and other sophisticated technologies can predict buyer intent is simply fascinating and that is why they keep acquiring more customers every day. 3: AI, data mining helps with smarter pricing This is very logical. As a small ecommerce owner, you will definitely face the challenge of formulating your pricing policy that can win the heart of consumers out there. You may have to do the research yourself or pay expert business developers to that. However Amazon and Alibaba don't do all that. They deploy intelligent services by way of AI and data mining to source different types of products worldwide, compare their prices and come up with the best price among all. This makes their platforms a one stop and reference to all online buying and selling businesses as far pricing is concerned. 4: Amazon and Alibaba use algorithms to manage supply chain I don’t find it funny to go to an online store, order a product that is said to arrive in 3 days and it ends up arriving in one week. To me it is a red flag on the supply chain process of the online store. With this in mind, Amazon and Alibaba have figured this out by integrating AI in their supply chain which predicts the logistics, delivery date, stock levels per purchase. Amazon even uses drones for quick delivery. Alibaba is equally exploring the development of a smart supply chain in China through its Ali Smart Supply Chain (ASSC) platform, which predicts volatile buyer trends so sellers can focus on improving their product, inventory and delivery operations. All these make the buyer's shopping experience seamless and enticing. 5: They use AI and data mining to build brand loyalty with consumers A combination of a seamless buyer's journey, consumer intent prediction, best pricing, smart supply chain, attractive UI/UX coupled with industry experience and brand reputation gives Amazon, Alibaba and other e-commerce giants a big edge over others in the customer acquisition. In all, The power of AI and related technologies like big data, block chain and machine learning cannot be overemphasized these days. Whether you are running a small scale or a large scale business, exploiting the advantages around these technologies is paramount. There are thousands of companies out there that can see you through with the implementation of these technologies.

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Spotlight

Testing Software

Testing Software has worked closely as an outsourcing service with the development teams of different software development companies over the past five years. Testing Software has been using formal processes for ‘test plan’ creation and execution which has improved their quality of products and services by implementing the best testing practices into their software life cycle.

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