Hands-on approach to drive advanced learning outcomes
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Targeted skills upgrade on industry-specific use cases
Upgrade your team’s productivity and decision making with cutting-edge technologies.
Use learning cultures and deep technical expertise to boost innovation and performance.
Use your existing team to create new revenue opportunities that capitalise on insights.
Drive active learning, advanced tech skills and entrepreneurial mindset with real-world projects.
Our cloud platform allows anyone to acquire powerful skills real-time backed by expert instructors.
Using Xccelerate, insurers can boost digital initiatives by upskilling employees that already possess domain expertise and analytical rigor. A.I. in insurance can benefit customers and drive operational, product and pricing efficiencies. Use cases include:
With the right knowledge, teams can model profitability and customer conversion to optimise top-line growth by analysing vast customer behavior data sets.
Train talent to streamline claim processing times and costs. Empowering employees to build models that recognise anomalies improves claim quality and reduces fraudulent claims.
Teams seeking to underwrite new products with complex demographics will benefit from machine learning knowledge to accurately predict insurability.
Manufacturers need to upgrade workforces to address their data challenges. Empowering employees with A.I. tools translates into real-time insights around asset optimisation, manufacturing conditions, visual identification and equipment calibration.
Train teams to predict failure by harnessing structured data such as electrical signals and equipment vibration. Equip your workforce with skills to develop end-to-end models that improve equipment effectiveness and cost structures.
Make quality control models a learning outcome so that teams can fix quality concerns earlier. Transform the data deluge from materials, production status and environmental variables into A.I. models that reduce lead time and cost of inspections.
Consistent improvements in demand forecasting optimises production. By empowering employees with cutting edge models, manufacturers can apply A.I. more effectively to product requirements and forecasted trends.
Leading logistic companies can upgrade their talent bases to leverage A.I. to drive higher profitability, operational effectiveness and margins.
Efficient operators can use historical data to predict freight lanes and networks. By training teams to build models, operators and teams can predict transit time with accuracy.
Teams that can build and maintain route optimization models with A.I. can increase efficiency of each delivery and improve overall bottom line.
Logistics companies that leverage technology to extract customs documents into easily readable formats can automate the entire declaration process and reduce heavy labor costs.
While the banking industry is facing increasing scrutiny and costs with regulation, incumbents are deal with new threats daily from fintechs. With access to deep tech skills, financial institutions can drive innovation in new ways:
Despite being a revolutionary technology, blockchain is in its early stages. Xccelerate can equip workforces with blockchain and A.I. skills for secure enterprise solutions.
Keeping track of investment opportunities is prone to human error. Using A.I. knowledge, teams can assist their clients more effectively.
Equipping teams with the right models allows for accurate loan default predictions, therefore servicing customers better and faster.
Fraud costs the industry $400 billion annually. Using A.I. skills, teams can automatically spot outliers and identify suspicious actions to improve the customer experience.
Upgrading talent with A.I. skills can automate a spectrum of portfolio management services and drive personalisation for the customer.
A.I. has immense potential to improve patient outcomes and save more lives, as well as improve the quality and efficiency of healthcare:
Latest advances in computer vision allows for early detection of illnesses. Leading teams can process images from X-Rays, CT and MRI scans with speed for correct diagnosis and drive higher standard of care to patients. Patient records can be used to train A.I. models and pattern recognition to rank patients by disease risk.
Deployment of A.I. can reduce the time and cost for developing effective treatments. Pharmaceutical teams can utilise the latest algorithms to analyse molecular compounds to make high probability evaluations on the effectiveness of the investigated molecules.
Using historical facility data such as patient, event, and environmental factors, Xccelerate can train teams to model likely usage of different hospital facilities. When the usage demand can be reliably predicted around ICU beds, discharge rates or new ER patients, teams can better prepare for projected usage load translating into more effective wait times, bed usage and staffing levels.
Drug-drug interaction is a major risk, particularly in complicated medical cases. By deploying A.I. to screen patient outcomes vs their medication records, patient safety is enhanced by flagging potential adverse interactions, as well as potentially identifying drug allergies which the patient is previously unaware of.
E-commerce is platform that disrupts traditional retail. Incumbents in the supply chain space can find plenty of advantages in investing in their team’s ability to deploy A.I. to drive digital transformation.
Retailer companies can upgrade talent to deploy algorithms that forecast demand during significant events and predict trends. This allows automated supply chain management to generate significant ROI by giving clients what they need on-demand.
By gathering historical data around buying habits, retailers are able to predict what customers are likely to buy. Using A.I., teams can quickly build accurate customer profiles and target efficiently.
Using computer vision, retailers can recognize in real time what customers are buying and automate cashiers. Gesture recognition even allows companies to harness models and libraries that can analyse facial behavior.
The industry is ripe for implementation of AI capabilities given the complexity of projects. There are numerous opportunities to upgrade teams to lower costs by synergizing more optimally.
Training your team with data science reinvents the BIM costing framework. Algorithms can evaluate topology, geometry and other building elements to enable classification advances.
With computer vision, construction companies can deploy technology to monitor in real time unsafe subcontractor behavior to increase the safety level of projects.
Each part of a single construction project has tight deadlines, as some parts are interconnected a delay of one would lead to the delay of the entirety of the project. With machine learning, companies can reduce the risk of delays.
The architecture workflow (project delivery, performance, billing etc…) is going through ongoing automation. Architecture firms facing competition from other players can leverage new data tools to deliver additional value to their clients.
While spreadsheets are heavily used across industries, training teams on business intelligence tools such as Power BI and Tableau will streamline the organization. Dashboards will help organize a project more efficiently and free time for management to make progress.
Despite a creative backing, A.I. can help save time with mundane tasks involved in design. Training your team on A.I. will enable them to focus on more value added actions.
Using data from past projects will help predict how long a project should take. In a competitive environment, this leverages resources to save money.
An expert will be in touch to understand your digital goals, technology needs, technical team dynamics and current data infrastructure
Xccelerate generates learning and delivery plans around relevant projects, data-sets and key knowledge gaps to maximise opportunities for value creation
Generate tangible results with optimised training content, deep technical skills and drive meaningful talent retention
A leading manufacturing company with international operations.
The Xccelerate team determined their AI deployment goals and created a bespoke curriculum comprising of industry datasets, context, technical infrastructure and capability assessment. The training program led to deployment of a model for successful predictive maintenance enhancing the capabilities of the enterprise. The training utilized machine learning, python and was deployed on the cloud with a leading service provider.
The training provided positive outcomes for the staff in-house and addressed their skill gap at the same time enhancing their AI capability and mindset."We all learned and enjoyed so much. It's a great learning experience for every one of us as well as an important skill build-up for the company", John Z, Manager, Big Data Applications
A leading hedge fund house in Hong kong with more than 60 employees wanting to train part of their team on python, data engineering and visualization.
The team devised a curriculum based on datasets from the finance industry and created a course which would be useful to the participants on a immediate basis to boost their day to day productivity. Utilizing popular python libraries for computation and visualization the course left the learners with a powerful set of tools and frameworks to take their data management skills to the next level.
The training proved to be successful with staff gaining the right level of skills and knowledge to further their learning journey and provided them with the tools to apply this to their own projects at work."Their heavy focus on applied learning meant that we worked on real data and solving real problems right from the start. While lectures were a valuable component, the real learning took place while working on projects. These projects were practical, engaging, and instructive"
HK Government: Healthcare Statutory Body accelerates its use of computer vision and deep learning in Clinical Radiology
Xccelerate designed and delivered an advanced industry-specific training program for a leading government body in Hong Kong to equip employees from the radiology division in harnessing the power of deep learning applied to medical image analysis. With the help of instructors that have decades of experience in Image Processing, Computer Vision and Machine Learning, the training allowed the employees to improve their technical skills and address critical skills gaps in driving A.I. transformation to serve customers. Combining lectures, labs and hands-on projects, Xccelerate successfully delivered learning outcomes in deploying computer vision algorithms for X-Rays, CT Scans, breast cancer detection and lung node scans. Equipping government talent with critical skills allows technology advances to drive earlier cancer detection, speeden waiting times, more accurate X-Ray processing and better patient outcomes across hospitals in Hong Kong.
A HK GEM Board Public Listed Media Conglomerate
Xccelerate developed a tailor-made UX design course for a leading business process outsourcing (“BPO”) services provider in Hong Kong that covers financial printing and marketing collateral printing projects. 25 Trainees were brought up to speed with the latest UX/UI trends and methodologies for modern web and mobile application design and delivery. The course was delivered by an expert practitioner with agile experience to address skills gaps between print design and digital design. Xccelerate’s proprietary curriculum also covered differences between easy-to-use products and difficult-to-use products, User Experience Design (UXD) & the importance of user-centric approach in delivering solutions for enterprise clients. Employees were immediately able to conduct user-test using a single design and developed low fidelity prototyping skils to enhance the design solutions based on test results.
Executive Blockchain Briefing for a Multi-billion dollar French Resource Management Conglomerate:
Xccelerate delivered senior and C-Suite executive blockchain training to 20 executives in the APAC region on how building private blockchains can drive business and data efficiency in complex supply chains involving water management, waste management and energy services. The goal of the training was to provide an overview of blockchain and Ethereum use cases that address technical and business challenges from supply chain leakages and data securitization.Executives left with a robust understanding of the underlying blockchain technology and discussions for decentralization blockchain pilots can begin being tested in APAC service agreements.
Xccelerate’s learning pedagogy was centered around providing relevant industry use cases to show how the technology can drive business opportunities that unlock value and competitive advantages long-term.
A global insurance giant solves advanced machine learning skills gaps with regional office training:
A forward-looking insurer decided to invest in the knowledge of their data science team covering talents across regional offices (including Singapore, HK and India) and ran an advanced, intensive training program to close the skills gaps for machine learning model workflows. Xccelerate successfully analysed client needs, built customised curriculum and projects, delivered the entire program and boasted powerful deployment results all within just 7 days end-to-end.
Xccelerate devised a practical, highly customised curriculum that focused on the design, deployment and evaluation of Python, popular libraries and cutting-edge machine learning models that can be effectively applied across structured, semi-structured and unstructured data sets.
The well-structured curriculum accelerated the company’s learning objectives around data science workflow stages, data preparation, feature engineering and model evaluation and metrics. Using hands on exercises and custom-built projects, the team practiced rapid data mining, recommender systems and sequencing with machine learning best practices in the insurance industry to overcome common challenges in deployment they were facing.
The training was successful and relevant for the company’s AI Center of Excellence consisting of data analysts, data scientists and machine learning engineers across different levels of Python knowledge. Xccelerate addressed critical skills gaps to empower the team to further capitalize on useful insights in automation (Robotics Process Automation), customer centric decision-making and business process.
The program also covered machine learning model application in insurance with projects and case studies covering insurance advisory and customer service, transaction and claims processing, fraud prevention and new product and pricing exploration.
dollars will be driven by A.I. Companies by 2022
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