Artificial intelligence (AI) is transforming how enterprises analyze and process information. It is also shifting from theoretical to real-world technology. Companies are deploying AI technologies to boost efficiency, reduce costs, and grow sales and profitability. The technology can also reduce marketing waste by predicting what works. It is the most impactful innovation of our lifetime, and it will create new winners and losers across entire industries.

Organizations are modernizing their applications by adopting containers and microservices-based architectures. Many customers are deploying high-performance workloads on containers to power microservices architecture, and require access to low latency and high throughput shared storage from these containers. Because containers are transient in nature, these long-running applications require data to be stored in durable storage. Amazon FSx for Lustre (FSx for Lustre) provides the world's most popular high-performance file system, now fully managed and integrated with Amazon S3. It offers a POSIX-compliant, fast parallel file system to enable peak performance and highly durable storage for your Kubernetes workloads.

The Global Machine Learning in Retail Market report by UpMarketResearch.com provides a detailed analysis of the area marketplace expanding; …

OTTAWA, ON, June 15, 2020 /CNW/ - Kinaxis Inc. (TSX: KXS), the authority in driving agility for fast, confident decision-making in an unpredictable world, has signed a definitive agreement to acquire Toronto-based Rubikloud, a disruptive, emerging provider of AI solutions that automate supply chain prescriptive analytics and decision-making in the retail and consumer packaged goods (CPG) industries. Globally-recognized retailers and CPG manufacturers in the health and beauty, household and grocery segments use Rubikloud's AI-based products today. Their offerings include demand forecasting and automation to manage and optimize trade promotions, pricing and assortment to drive product demand and dramatically improve financial results. Kinaxis will enhance RapidResponse's demand planning capabilities with the Rubikloud offerings, anticipating initial opportunities in the company's rapidly-growing CPG customer base and over time for other industries such as life sciences. The acquisition also offers Kinaxis a springboard into the enterprise retail industry.

Data-driven pricing strategies are becoming increasingly common, where customers are offered a personalized price based on features that are predictive of their valuation of a product. It is desirable to have this pricing policy be simple and interpretable, so it can be verified, checked for fairness, and easily implemented. However, efforts to incorporate machine learning into a pricing framework often lead to complex pricing policies which are not interpretable, resulting in slow adoption in practice. We present a customized, prescriptive tree-based algorithm that distills knowledge from a complex black box machine learning algorithm, segments customers with similar valuations and prescribes prices in such a way that maximizes revenue while maintaining interpretability. We quantify the regret of a resulting policy and demonstrate its efficacy in applications with both synthetic and real-world datasets.

Which AI applications are playing a role in automation or augmentation of the retail process? How are retail companies using these technologies to stay ahead of their competitors today, and what innovations are being pioneered as potential retail game-changers over the next decade? Innovation is a double-edged sword, and as with any innovation, results are a mixed bag. While many AI applications have yielded increased ROI -- this case study of AI in retail marketing segmentation is one example -- others have been tried and failed to meet expectations, shining a light on barriers that still need to be overcome before such innovations become industry drivers. Below are 10 brief use cases across five retail domains or phases.

Machine learning-based personalization has gained traction over the years due to volume in the amount of data across sources and the velocity at which consumers and organizations generate new data. Traditional ways of personalization focused on deriving business rules using techniques like segmentation, which often did not address a customer uniquely. Recent progress in specialized hardware (read GPUs and cloud computing) and a burgeoning ML and DL toolkits enable us to develop 1:1 customer personalization which scales. Recommender systems are beneficial to both service providers and users. They reduce transaction costs of finding and selecting items in an online shopping environment and improves customer experience.

The recent report on "Global Artificial Intelligence(AI) in Retail Market Size, Status and Forecast 2020-2026" offered by Researchmoz.us, Additionally, the report also highlights the challenges impeding market growth and expansion strategies employed by leading companies in the "Artificial Intelligence(AI) in Retail market". This is the most recent report inclusive of the COVID-19 effects on the functioning of the market. It is well known that some changes, for the worse, were administered by the pandemic on all industries. The current scenario of the business sector and pandemic's impact on the past and future of the industry are covered in this report.

The sense of discovery and surprise at something that matches an unrecognized yearning can be exhilarating. But the sheer size of many stores is exhausting -- with some, I need a site map, flashlight, and overnight bag to take it all in. In others, the inventory is specialized and packed in so tightly that online seems a better way to find what I want. If you're primarily an online shopper, you may be asking how relevant brick-and-mortar stores are. The answer is: quite relevant.

About Blue Ridge Blue Ridge Supply Chain Planning and Price Optimization solutions empower distributors and retailers to tap into undiscovered margin through enterprise-wide inventory intelligence, automation and synchronization. Blue Ridge uniquely combines demand forecasting with pricing strategy, so that businesses can proactively understand the unpredictable and allocate the right inventory – right-priced across the entire mix – to accelerate top- and bottom-line results. In a world where the only constant is change, Blue Ridge provides more certainty, more speed, and more assurance – so companies can see the why behind the buy, and respond faster to the unexpected. That's why major retailers and distributors rely on Blue Ridge for a more foreseeable future. For more information, go to www.blueridgeglobal.com.