釋放團隊的潛力

Xccelerate的企業培訓平台使企業能夠通過相關,及時和按需的高級技術學習來改造團隊。通過我們的解決方案,團隊可以推動數字化轉型,升級員工並利用數據科學、人工智能、區塊鏈、設計思維或雲端運算等關鍵領域的開發潛力。

我們提供跨行業,部門和技能素養最強大學習成果。Xccelerate培訓多過900名專業人員,並與50多家領先的跨國公司合作。在定制解決方案的時候,我們會利用獨有的經驗以最大限度地提高各行業的人才投資回報率。


整個企業的好處

專業培訓師

以實踐機會推動學習成果

學習平台

雲端學習內容,自定進度的項目和學習門戶

度身訂造

針對行業特定用例的針對性技能升級

建立一個以技術驅動的企業

利用尖端技術提升團隊的工作效率和決策能力

加速學習文化

透過積極的學習文化和深厚的技術專長來推動創新和績效

提高盈利率

利用現有的團隊來創造新的收入機會

整體人才發展

通過實際項目來推動積極學習的態度,高級技術技能和企業家的思維

企業等級部署

我們的雲端平台允許任何人獲得由專業講師即時支撐的強大技能

Xccelerate 如何適用於您的行業?
Xccelerate與不同企業合作來創建度身訂造的教育解決方案,以解決當今工作場所的技能差距,並提高員工的工作效率。
保險

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:

Premiums & Risk Optimisation

With the right knowledge, teams can model profitability and customer conversion to optimise top-line growth by analysing vast customer behavior data sets.

Faster Claims Processing

Train talent to streamline claim processing times and costs. Empowering employees to build models that recognise anomalies improves claim quality and reduces fraudulent claims.

New Product Development

Teams seeking to underwrite new products with complex demographics will benefit from machine learning knowledge to accurately predict insurability.

製造業與汽車業

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.

Predictive Maintenance

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.

Optimised Quality Control

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.

Demand Prediction

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.

運輸業與供應鏈

Leading logistic companies can upgrade their talent bases to leverage A.I. to drive higher profitability, operational effectiveness and margins.

Predictive Network Management

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.

Intelligent Route Optimization

Teams that can build and maintain route optimization models with A.I. can increase efficiency of each delivery and improve overall bottom line.

Expedited Customs Brokerage

Logistics companies that leverage technology to extract customs documents into easily readable formats can automate the entire declaration process and reduce heavy labor costs.

金融科技與銀行

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:

Blockchain

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.

Robo Advisers

Keeping track of investment opportunities is prone to human error. Using A.I. knowledge, teams can assist their clients more effectively.

Loan Approval

Equipping teams with the right models allows for accurate loan default predictions, therefore servicing customers better and faster.

Fraud Detection

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.

Digital Wealth Management

Upgrading talent with A.I. skills can automate a spectrum of portfolio management services and drive personalisation for the customer.

醫療保健

A.I. has immense potential to improve patient outcomes and save more lives, as well as improve the quality and efficiency of healthcare:

Advanced Disease Detection

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.

Drug Development Acceleration

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.

Optimising Facility Usage

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.

Enhancing Patient Safety

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.

零售與電子商務

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.

Supply Chain Optimisation

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.

Advanced Loyalty Programs

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.

Advanced Gesture Recognition

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.

工程業

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.

Building Information Modelling

Training your team with data science reinvents the BIM costing framework. Algorithms can evaluate topology, geometry and other building elements to enable classification advances.

Worker Risk Mitigation

With computer vision, construction companies can deploy technology to monitor in real time unsafe subcontractor behavior to increase the safety level of projects.

Schedule optimization

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.

建築業

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.

Automated BI Platform

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.

A.I. Driven Design

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.

Project Forecasting

Using data from past projects will help predict how long a project should take. In a competitive environment, this leverages resources to save money.

Xccelerate如何運作?
1

分析需求諮詢

專家將與您聯繫,以了解您的目標數字,技術需求,技術團隊動態和當前的數據基礎架構

2

度身訂造學習計劃

Xccelerate就相關項目,數據集和知識差距來訂製學習計劃,以建立最大的價值

3

部署成果

通過優化的培訓內容,深厚的技術技能和推動有意義的人才保留,以產生切實的成果

超過150名招聘合作夥伴和客戶
IBM
Microsoft
Alibaba
HSBC
FinFabrik
Juven
LKF Group
Zeroth.AI
Planto
Shadow Factory
TVB
M800
HK Hospital Authority
Johnson Electric
Standard Chartered
AXA
ANX
Hong Kong Baptisit University
Veolia
Nova
Aftership
Compare Global
Lexica
10 Life
Frexity
IMIT Advisory
Ceterna
Entinux
HKBN
imSure
PassKit
Qupital
Think it Twice
Vivovii
Zwoop

1

元將由A.I.公司於2022年前生產

1500+

受惠的專業人士

150以上

值得信賴的客戶和招聘合作夥伴