Connect with Visionet as we drive scalability and accelerate process reliability with next-gen intelligent automation.
September 27 - 29, 2022
The Venetian Resort, Las Vegas
Wednesday, September 28 at 1:00 – 2:00 PM PDT
Visionet is a Platinum Sponsor of the Microsoft Power Platform Conference 2022. Join us at the first annual MPPC 2022 and explore how Visionet creates immersive experiences so your organization can innovate to succeed in the digital era today and in the future.
While operating in the retail industry, we all know the rising shift following tech advancements and mass customization. Changes in customer purchase behaviors are inducing omnichannel operations among retailers.
eCommerce domains are also facing complications that are evident in slow growth rates in regular stores and the decline in web engagement and conversion rates.
These concerning factors brought a critical question into light that needs to be addressed:
Data-driven email marketing campaigns have redefined the way organizations engage with potential and existing customers. Email marketing not only costs less as compared to other contemporary tools but is also more effective and has a wider reach. However, organizations now have large volumes of data at their disposal which they can leverage to drive data-backed marketing campaigns.
Download the white paper to find out how our experts analyzed the impact of data-driven email marketing and how it affects customers’ purchase behavior.
Visionet empowered a Fortune 500 Insurer's data operations, achieving a 30% cost reduction, enhanced security, and improved end-to-end data visibility.
The spreadsheet-based manual forecasting approach that is still used in many retail organizations is not suitable for staying ahead of the competition and improving their bottom line. Manual adjustments of forecasts in this method leave all inventory spend decisions to human judgement, which pushes towards generalized decisions rather than going with product, vendor, and market-specific indicators.
At the end of 2018, researchers at Google introduced a new groundbreaking Natural Language Processing technique called Bi-directional Encoder Representations from Transformers – or simply – BERT, which became a breakthrough development in the area of NLP. The model and its variations such as RoBERTa or DistilBERT took the Deep Learning community by storm because of its superior performance.
Product engineering and software development are intricate processes. Companies rely on efficient development methodologies such as Agile development to seamlessly govern the software development lifecycle. In each Agile sprint, developers build new features, and quality assurance engineers have to test the application. However, in such cases, manual testing is inefficient and more time-consuming. Therefore, to make the entire process more efficient, businesses are leveraging test automation best practices to cope with continuous product development and delivery.
Banks are increasingly using machine learning to power their operations and solve challenging business problems. However, adoption is not widespread across their other departments. To achieve this, they must address several technological and organizational challenges. This white paper provides insights into how machine learning can enable banks to optimize the vast amount of data that they already possess, transform their customer service and risk management practices, and enhance operational efficiency.