Building a data processing pipeline is one of the most common problem statements, for which you would have written small scripts or built a full-fledged scalable system based on the amount, and frequency of data. In this article, we will talk about the idea of event-driven scalability, the backbone that will be cost-optimized, and requires a minimum amount of development and operations. Why build an event-driven and scalable data processing pipeline? While working with startups or building a team project or a personal project, that requires a pipeline for data processing, there is always a constraint of cost. We will use a simple example for building a metadata extraction system for e-commerce products.
One of the most common challenges in an e-commerce business to build a well-performing product recommender and categorisation model. A product recommender is used to recommend similar products to users so that total time and money spent on platform per user will be increased. There is also a need to have a model to categorise products correctly since there might be some wrongly categorised products in those platforms especially where most of content is generated by users as in case of classified websites. A product categorisation model is used to catch those products and place them back into their right categories to improve overall user experience on the platform. This article has 2 main parts.
Pandion, the e-commerce delivery network powered by machine learning and led by Amazon Air Founder Scott Ruffin, has hired Lori Tenan as the company's first chief revenue officer (CRO). Tenan is a recognized leader in enterprise sales, having most recently led the post-purchase platform Narvar from its infancy to eight years of hyper-growth. "Since emerging from stealth a year ago, Pandion has used machine learning technologies to help Fortune 500 companies deliver millions of packages and provide an unmatched experience for their customers. Having Lori Tenan join as CRO will help identify new opportunities to augment our growth while ensuring our customer experience is best in class," said Scott Ruffin, Founder and CEO at Pandion. "Lori's experience and success in this space speaks for itself and with our ambitious plans for the year, this was the perfect time to bring Lori onto the Pandion team."
Lilt, the modern language service and technology provider, today announced it was named a winner in the Business Intelligence Group's Artificial Intelligence Excellence Awards program . Lilt's localization solution combines a community of the world's best professional translators with its AI-powered translation platform, bringing human-powered, technology-assisted translations to global enterprises like Intel, ASICS, Canva, DigitalOcean, WalkMe, and others. "As a language service and technology provider, our AI and machine learning platform enables our customers to provide their customers with a consistent global experience, regardless of what language they speak." With Lilt, companies go-to-market faster, grow global revenues, and provide a personalized global experience to their customers in their language of choice. Lilt brings human-powered, technology-assisted translations to global enterprises, empowering product, marketing, support, e-commerce, and localization teams to deliver exceptional customer experiences to global audiences.
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The retail business is getting back on track and has been witnessing steady growth after the dismal impact of the third wave. There has been buoyancy in the market with the removal of lockdown restrictions. After a long time of distress and uncertainty, things are getting back to normalcy as businesses have started taking pertinent steps to resume operations and focus on sales, marketing, and inventory management. The realization of digital transformation coupled with the indispensable role of artificial intelligence (AI) has been one of the major outcomes of Covid-19 implications on the retail sector and the vast possibilities and opportunities it can create with such transformations. With the emergence of e-commerce, buyers experienced the first crucial shift that successfully made it possible for them to buy things from anywhere at any time.
Many of today's business challenges revolve around two core topics: navigating digital transformation and retaining talent. The latest insights from MIT Sloan Management Review focus on looking past common misconceptions about digital initiatives, setting the right KPIs for digital transformation success, and changing corporate culture and business operations so employees are more likely to stay. Just as today's business leaders should rethink common assumptions about the world of work and re-examine customer expectations, they may also need a new mindset about driving change. MIT Sloan senior lecturer George Westerman identifies four managerial assumptions about digital transformation that prevent enterprises from reaching their true potential. This emphasizes digital but not transformation -- the more difficult (and more important) element to address.
Eileen Yu began covering the IT industry when Asynchronous Transfer Mode was still hip and e-commerce was the new buzzword. Currently an independent business technology journalist and content specialist based in Singapore, she has over 20 years of industry experience with various publications including ZDNet, IDG, and Singapore Press Holdings. Big Data Exchange (BDx) has marked its entry into Indonesia's data centre market through a joint venture agreement with PT Indosat and the latter's two subsidiaries. The move aims to tap increasing demand for cloud services and connectivity. Estimated to be worth $300 million, the deal would see BDx enter a conditional sale and purchase agreement of shares (CSPA) and establish a joint venture with PT Indosat, PT Aplikanusa Lintasarta, and PT Starone Mitra Telekomunikasi (SMT). Under the agreement, BDx, Indosat, and Lintasarta would set up data centre and cloud operations in the Asian market, BDx said in a statement Thursday.
In the midst of unprecedented volumes of e-commerce since 2020, the number of digital payments made every day around the planet has exploded – hitting about $6.6 trillion in value last year, a 40 percent jump in two years. With all that money flowing through the world's payments rails, there's even more reason for cybercriminals to innovate ways to nab it. To help ensure payments security today requires advanced game theory skills to outthink and outmaneuver highly sophisticated criminal networks that are on track to steal up to $10.5 trillion in "booty" via cybersecurity damages, according to a recent Argus Research report. Payment processors around the globe are constantly playing against fraudsters and improving upon "their game" to protect customers' money. The target invariably moves, and scammers become ever more sophisticated.
Eileen Yu began covering the IT industry when Asynchronous Transfer Mode was still hip and e-commerce was the new buzzword. Currently an independent business technology journalist and content specialist based in Singapore, she has over 20 years of industry experience with various publications including ZDNet, IDG, and Singapore Press Holdings. Two companies are collaborating to help data centres in Singapore measure their carbon footprint and improve their operational efficiencies towards greater sustainability. The partnership is touted to include services, powered by artificial intelligence (AI) and machine learning, to track and forecast greenhouse gas emissions of critical dana centre systems. The partnership between MetaVerse Green Exchange (MVGX) and Red Dot Analytics (RDA) would aim to "verifiably measure and offset" the carbon footprint of data centres in tropical environments, the two companies said in a joint statement Wednesday.