Visionet's AI-powered solution revamped a leading insurer's data platform, boosting efficiency, security, and scalability while delivering cost savings and end-to-end visibility.
The client is a leading life insurance provider, delivering its services to millions of customers. Their aim is to ensure financial security worldwide through their comprehensive range of offerings.
A leading pharmaceutical company faced challenges in streamlining data from multiple sensor devices provided by different manufacturers to measure drug efficacy. Visionet proposed an intelligent sensor data platform that standardized analytical schema, provided an ingestion layer for variety of sensors and an AI framework.
The pharmaceutical company needed to harmonize and join data from multiple sensors to get a bigger picture and measure the impact of a drug on various physical activities.
The client is a major US retail player in the mattress and accessories business with more than 2, 400 stores spanning across 49 states. It has a strong reputation for delivering superior customer experiences.
The client lacked a customer data platform and faced difficulties in interpreting customer behavior across various touch points. This resulted in manual, time-consuming tasks, and incomplete data, hindering the client’s ability to execute customer analytics use cases.
The client is a key US retailer with more than 2,400 stores engaged in the business of specialty bedding and mattresses. The company was looking forward to boosting its competitive edge through strategic pricing.
Over the years, the company has encountered obstacles in tailoring an effective pricing strategy that is fine-tuned with the ever-changing market conditions and competitor offerings.
In today’s dynamic business landscape, customers seek personalized and seamless experiences tailored to their needs and ever-evolving preferences. This is where Generative AI comes into play.
In our recent webinar, experts from Visionet and Salesforce highlighted the immense power of integrating AI, Data, and CRM while uncovering endless possibilities of Generative AI. This webinar provides a comprehensive breakdown on:
Embark on a seamless journey to embrace a true DataOps culture with Visionet’s comprehensive white paper. This guide is essential for organizations striving to unlock the full potential of data and transform their digital footprint, thus ensuring a modernized, efficient, and innovation-driven approach to data management.
Delve into The Rise of Actuarial Automation: How Technology is Transforming the Insurance Industry, a compelling white paper that unfolds the transformative potential of intelligent automation technologies within the actuarial domain. Actuaries, being indispensable to risk management and strategic formulation in insurance companies, necessitate automation to augment precision and effectiveness.
Meet Visionet experts at an insightful gathering that unlocks the boundless potential of intelligent automation. At this two-day event, you will find yourself at the crossroads of innovation, exploration, and future of work.
Be part of a vibrant convergence of industry experts, esteemed partners, visionary technologists, and forward-thinking leaders. Get to know about the transformative impact of intelligent automation on the business landscape.
In recent times, the supply chain industry has undergone a remarkable transformation, driven by the relentless march of technology. Among the many technological advancements, two have stood out prominently: Digital Transformation and the emergence of Generative AI (Gen AI). The fusion of these two forces has the potential to revolutionize supply chain management, optimizing operations, enhancing efficiency, and fundamentally reshaping business models. In this article, we'll dive deep into the profound impact of Gen AI on the supply chain industry.
If you are following the trends in the realm of Gen AI, you would notice that every day, a ton of LLMs and tools are being introduced in this space. The opportunity unleashed by the Gen AI space is promising and disruptive but the initial models are confined to the space of producing text, images, code, videos, speech and music with some investment also made in the game and 3D objects.