Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! The ecommerce scene has evolved. Every other business is progressing online and trying to scoop some internet-driven profit. While certain enterprise tools can help digital-first businesses, increasing competition means that barely existing online or running half-hearted campaigns isn't enough for brands to make it big in ecommerce.

Data science and AI has become a requirement for business growth. The technology has advanced enough to predict customer s choices and satisfy their needs. The volume of data generated per day is predicted to reach 463 exabytes by 2025. On the Internet, the world spends about $1 million per minute on goods. This huge amount of data, known as big data, has increased the need for qualified data science workers.

Technology and Artificial Intelligence (AI) have brought in mixed reactions concerning job security and HR as a profession has not been spared. A recent report by the World Economic Forum (WEF) however gives a picture that technology and Artificial Intelligence (AI) will make HR more efficient and effective.1 At the Digital HR Innovation Summit back in 2019 in Amsterdam, we learned that at that time only 6% of companies were actively using AI in HR globally.2 Most of the organizations were at an exploratory stage where they were learning whether AI works for them or not. PWC's recent report confirms, the pandemic has drastically accelerated the digital transformation agenda through the integration of disruptive technologies.

This post was cowritten by Ziv Pollak, Machine Learning Team Lead, and Sarvi Loloei, Machine Learning Engineer at Clearly. The content and opinions in this post are those of the third-party authors and AWS is not responsible for the content or accuracy of this post. A pioneer in online shopping, Clearly launched their first site in 2000. Since then, we've grown to become one of the biggest online eyewear retailers in the world, providing customers across Canada, the US, Australia, and New Zealand with glasses, sunglasses, contact lenses, and other eye health products. Through its mission to eliminate poor vision, Clearly strives to make eyewear affordable and accessible for everyone.

NVIDIA has been a presence in the financial industry for more than 15 years. Financial institutions harness NVIDIA's full stack accelerated computing platform to power AI and high-performance computing applications that utilise vast amounts of data to increase revenues, reduce costs, and mitigate risk across the enterprise. NVIDIA works with the largest banks, credit card issuers, and insurers across the globe helping financial institutions deliver AI-powered solutions. Financial institutions bring a range of problems and opportunities to NVIDIA to solve through AI. Ultimately, financial institutions, including fintechs, seek NVIDIA's expertise in accelerated computing to AI-enable hundreds of applications to drive better insights, increase revenues and remove operational inefficiencies.

Search is the universal language. And the search box is the portal to all your answers. At work trying to help a customer understand their subscription options? Search your intranet for the most up-to-date pricing and details to share with them. At peak performance, search and browse boosts top and bottom line.

Running a hotel is demanding, the challenging day-to-day operations can divert your attention away from the bigger picture. That's why in this post we have listed pro-active strategies to implement in your hotel, that will have big results in increasing your revenue. So, without further ado let's dive straight in. Sustainability has emerged as one of the biggest hotel trends back in 2018, and it's gaining traction. Consumers are not only making'greener' choices with the brands they associate themselves with, but it even stretches to their experiences with companies. Did you know a whopping 68% of tourists choose to book with eco-friendly accommodation?

Machine Learning helps your company create entirely new products to increase revenue. An example is new mobility services powered by self-driving cars, also called Robo-Taxi. Without Machine Learning, this new product is hard to create. In this case, Machine Learning allows the company to develop an entirely new product to increase revenue. The holy grail of Artificial Intelligence ("AI")-powered products is a product that enters the Virtuous Circle of AI.

One industry that's always been at the cutting edge of technology is telecommunications. If we consider some of the breakthroughs made in human achievements, the most significant involve communication technology – from wired telegraph relays crossing vast continents to the invention of the telephone, to the world-crossing internet and the ubiquitous mobile phone. The need to communicate being at the heart of human behavior means that modern communications service providers (CSPs) operate in a highly competitive market; everyone needs to connect. Unless companies can find differentiation from one another, the technology that underpins the many services (like landlines, internet and mobile) is interchangeable, for businesses and consumers alike. After all, changing one's cellphone provider can be as simple as flicking a software toggle switch in a phone's settings to use SIM B, not SIM A. Retaining profitability is essential for CSPs as it is in every other vertical, of course, and with a saturated market that's based on technology, the challenges in the sector are very specific.

Big data is at the helm of massive changes across a broad spectrum of industries. RAPIDS, a set of open source machine learning libraries, focuses on common data preparation tasks for analytics and data science, enabling end-to-end, GPU-accelerated pipelines. RAPIDS also includes support for multi-node, multi-GPU deployments, vastly accelerating processing over CPUs and allowing training on much larger dataset sizes for verticals across many industries. Here are four sectors and corresponding business operations being transformed by RAPIDS and GPU-accelerated data science. In retail, machine learning is often used to assess what features or functionalities can be used to retain users and increase revenue.