How Deep Learning and AI can give you a competitive advantage?
Academia and Research
From teaching the next generation of academics to pioneering the next scientific discovery, faculty and researchers are solving some of today’s greatest challenges while shaping the future. Universities are at the forefront of this discovery, driving innovation, societal impact, and industrial transformation to advance human knowledge.
Deep learning and AI are touching every area of research whether it be for medical or clinical diagnosis, engineering innovation or even agricultural output – enabling these research groups is a key part of Scan’s AI ecosystem in supporting grants, funding applications or education initiatives.
The NVIDIA Deep Learning Institute. Delivered by Scan.
Scan is pleased to announce that on top of our NVIDIA Elite Solution provide status, we now have certified instructors to host NVIDIA Deep Learning Institute workshops. This means all of our learnings and expertise gained using the NVIDIA DGX systems alongside the other elements of our AI ecosystem, places us in a great position to educate and train developers on how to apply deep learning. Furthermore, we've teamed up with Manchester Science Partnerships to deliver these teachings in a cutting edge environment in the heart of Manchester making the workshops available and easily accessible to all.
Find out more
Financial Services
Milliseconds matter in the financial industry. Lightning-quick insights, executed instantly, can drive profits. The key is making smart decisions faster than the competition, and it all comes down to leveraging big data. Faster analytics offer a big advantage. With conventional computing pushed to its limits, the financial industry is moving toward accelerated hardware to deliver insight and analytics in real time.
Fraud Analysis is an emerging science in deep learning is combining many different data sources together. Although data has always been readily available, if you want to get a jump on your competition, you need to look at what the other data elements are that you can integrate together. It comes down to figuring out how to combine your traditional securities data with social media data, web-based data and other proprietary data feeds – these multiple inputs allow deeper insight and drive predictive results as to the patterns and likelihood of fraud occurring.
Applications of AI in Finance Organisations
Learning of customers behavior
Analysis of aggregated data
Analysis of social graphs
Automation of routine processes
Control of user ID information
Risk Management
Interactive Portfolio Risk Management for financial traders and portfolio managers ultimately comes down to making portfolio risk calculations. Five years ago, a trader had to extract data and transfer it to specialised systems to perform advanced analytics and modelling. Mathematically intensive risk calculations were typically performed overnight in batch, which made it difficult to respond to market changes in real time. The performance of accelerated systems now brings this into an immediate focus.
Healthcare
AI is completely reshaping life sciences, medicine, and healthcare as an industry. To further that transformation, NVIDIA is democratizing deep learning by providing an end-to-end AI computing platform designed for the healthcare community. These GPU-accelerated solutions are helping to foster collaboration, while at the same time keeping each institution’s information secure.
GPU-accelerated deep learning solutions can be used to design more sophisticated neural networks for healthcare and medical research applications—from real-time pathology assessment to point-of-care interventions to predictive analytics for clinical decision-making. Innovations in AI are advancing the future of precision medicine and population health management in unbelievable ways.
Applications of AI in Healthcare
The healthcare sector needs to analyse scientific reports from around the world, while simultaneously coordinating a variety of patient data to determine the most appropriate treatment options. Given the huge volumes of data involved, big data analysis via deep learning will play a major role in the development of optimized healthcare delivery systems and support early detection and assisted diagnosis.
At the same time, medical institutions wanting to use deep learning for independent research need hardware for analysis, systems for the collection, collation and analysis of in-house data, and knowledge of deep learning processes and techniques that can begin to deliver the next generation of AI-assisted healthcare.
Robot-Assisted Surgery
Virtual Nursing Assistant
Dosage Error Reduction
Clinical Trail Participant Identifier
Preliminary Diagnosis
Automated Image Diagnosis
Retail
The landscape of traditional retail is experiencing a seismic shift. A rapidly evolving competitive environment, a global move towards digital shopping, and the ever-changing sentiments of highly informed buyers are forcing a new perspective in the industry. From this new perspective, we’re seeing the adoption of accelerated analytics, robotics, and deep learning.
The use of artificial intelligence in retail spans every aspect of the industry. Whether your goal is to optimise your supply chain, use existing data to increase conversion, or customize shopping experiences with predictive modelling and micro-targeting/pricing, AI can help you meet your challenge.
Awareness
Lead Generation
Segmenting and targeting large data sets to generate highely qualified leads with higher probabilities of conversion
Consideration
Personalisation
Real-time analysis of big data to generate personalised digital content to match needs of customers online
Purchase
Cross Sell
Recommendation engine driven by machine learning to up-sell and cross-sell
Service & Loyalty
Retention
Intelligent customer churn prediction to pro-actively customise loyalty programs for customer retention
Customer Engagement
Engagement
Chatbots to enable customer self-service helpdesk
Uses of AI in Retail
The use of artificial intelligence in retail spans every aspect of the industry. Whether your goal is to optimise your supply chain, use existing data to increase conversion, or customize shopping experiences with predictive modelling and micro-targeting/pricing, AI can help you meet your challenge.
Scan Business has the expertise across this range of retail focused technologies from the GPU-accelerated AI appliances to software packages designed to produce in-depth retail customer engagement and geo-spatial analysis. Even to the display screens, video walls and image recognition cameras to capture the data in store.
Manufacturing
AI-enabled smart factories are changing the way manufacturing is done. AI computing powers industrial robots, big data analytics, and IIOT-managing, analysing, and acting on tremendous amounts of data from a variety of sensors. With solutions like NVIDIA Jetson at the edge or near-edge and NVIDIA Tesla in the cloud, smart factories are increasing efficiency, improving quality, and reducing setup costs.
Further to the physical production aspects there are additional use cases around process optimisation and bottleneck reduction using software solutions such as Intel Saffron suite of advisor tools.
Move
Production flow sensor data is constantly monitored using deep learning to maximise efficiency and improve quality. Robots can even by dynamically reconfigured for new tasks.
Assemble
AI increases accuracy 60% to 95% in applications like pick-and-place from bins. A robot can do multiple tasks, many robots can work in tandem, and cobots can even work side-by-side with factory employees to improve productivity.
Maintain
AI can use time-seriesdata from a variety of sensors in the factory to predict issues that hinder production. This predictive maintenance of the equipment lets you address issues quickly and efficiently to reduce downtime.
Inspect
Automated optical inspection powered by deep learning identifies even the smallest imperfections for immediate corection.
Start Ups
As an Elite Solution Provider accredited by NVIDIA, Scan is the ideal partner to introduce your new AI-focused company to the Inception Program. Designed to help start-up organisations take their first steps and get access to the critical components required to build an optimised AI ecosystem.
Applying to join the Inception Program and partnering with Scan gives you access to discounted NVIDIA DGX hardware and provides access to guided proof-of-concept environment and our team of experts including data scientists, system architects and Linux engineers to ensure you get the correct ongoing support as your company and AI projects develops.
The NVIDIA Deep Learning Institute. Delivered by Scan.
Scan is pleased to announce that on top of our NVIDIA Elite Solution provide status, we now have certified instructors to host NVIDIA Deep Learning Institute workshops. This means all of our learnings and expertise gained using the NVIDIA DGX systems alongside the other elements of our AI ecosystem, places us in a great position to educate and train developers on how to apply deep learning. Furthermore, we've teamed up with Manchester Science Partnerships to deliver these teachings in a cutting edge environment in the heart of Manchester making the workshops available and easily accessible to all.
Find out more