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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"
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