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Transcript: PF Private Retirement Scheme (PRS) PF Agency About our product PF Private Retirement Scheme (PRS) A voluntary long-term savings and investment scheme designed to help individuals save for their retirement. Benefits Benefit of Private Retirement Scheme (PRS) Tax incentives Higher potential returns Flexibility Professional management Long-term savings Portable SWOT Analysis SWOT Analysis S W O T Offers a range of investment options with varying levels of risk and return to suit different investment objectives and preferences. Regulated by the Securities Commission Malaysia to ensure transparency and accountability of the fund managers Limited awareness and understanding of the scheme among the general public. Potential to expand the range of investment options to cater to different market segments. Increased competition from other retirement savings plans or investment options Why choose us? Why choose us? PF Private Retirement Scheme, PF Agency XRetirement Growth, Ditto Wealth Management Minimum investment of RM200 Complicated process Hidden charges High risk Afforable with minimum investment of RM50 Lump sum payouts Flexible withdrawals Death & Total and Permanent Disability (TPD) cover Employee Retention Plan Client's experience Client's experience Client 1 Ellen, 26, a fresh graduate who just got her first permanent job She chooses a PRS provider and selects a diversified investment option that matches her risk tolerance level and retirement savings goals. She makes additional contributions to her PRS account to increase her retirement savings, up to the allowable limit. When Ellen reaches retirement age, she can start withdrawing funds from her PRS account. Ellen also benefits from tax savings on her PRS contributions and investment returns. Conclusion Conclusion Contact us at 0123546789

High Impact Presentation (Metaheuristics)

Transcript: High Impact Presentations By: Emad Abdalghaffar Metaheuristic Optimization Algorithms ITI Intake 42 - AI 2021 Let us DIVE Inspiration Optimization is the heart of many natural processes: - Natural Selection in the biological evolution, which is based on the the survival-of-the-fittest principle. - Social Swarming of birds or foraging strategies of ants. - Other Natural-Inspired behaviors. Simulating such natural behaviors into computational mechanics in form of computer algorithms, may lead to promising approaches in the nowadays computer-aided engineering designs. Definition Classification of The Optimization Approaches Exploration and Exploitation Balance in MOAs “Optimization” Simple as billiards,... To find an optimal value of a function. > Corresponding to pre-defined variables (DV) > Within a feasible space that bounds those DV. Exploration: The optimizer scans and explores the entire search domain, looking for some promising spots. While Exploitation: The optimizer scans each of these promising spots. Considering the space & time complexity as KPIs. ....derivative-based VS derivative-free Enabling a suitable balance between exploration and exploitation highly increases the optimizer efficiency. Let us EXPLORE MO's State of The Art Trendy & Promising MOs Evolutionary Evolutionary Genetic Algorithm Genetic Algorithm (GA): Is an adaptive heuristic search algorithm based on the evolutionary principles of natural selection and genetics. "survival of the fittest" Swarm Swarm Grey Wolf Optimizer Grasshopper Optimization Algorithm Krill Herd Algorithm It mimics the leadership and hunting mechanism of grey wolves in nature. the prey may be either a randomly chosen solution or the best obtained solution so far, in case of exploration or exploitation, respectively The switch between the exploration and exploitation components is controlled by linear reduction of the parameter “a” from 2 to 0. As, when 0 < a < 1, the value of |A| < 1 which activates the exploitation mechanism, and the opposite occurs when 1 < a < 2. The GWO has only two adaptive parameters: “a” and “C” “a” guarantees the exploration-exploitation balance “C” emphasizes the random search It mimics the swarming behavior of grasshoppers. The grasshopper movement is based mainly on the social interaction with its neighbors. Which is described in terms of attraction, repulsion, or comfort zone state. Next position is based on: - current position (unlike PSO) - target position - other grasshoppers position C is a shrinking coefficient of each zone.. (override the local optimial traps) Decreasing the factor c ensures the gradual convergence (balance between explor. and exloit.). Inspired by the krill (fish) swarming. The random walk depends on: - the swarm movement - seeking food - random motion the krill's objective is a minimum distances of both the center of the herd density and from the food location. It holds the GA operators: crossover and mutation Other Nature-Inspired Other Nature-Inspired Ant Lion Optimizer Imperialist Competitive Algorithm Whale Optimization Algorithm It mimics the smart hunting mechanism of the Antlions. The ALO mimics the interaction between antlions and ants during the hunting process Ants and antlions position: - random walk - building traps - catching preys the ant replaces the antlion if provides better fitness - re-building traps ICA is an evolutionary sociopolitical algorithm. possible solutions are considered as countries. The evolutionary improvement is done through these operators: - Initial population, the best fittneses are imperialists, the rest are colonies. Each imperialist takes over a portion of the colonies according to its power. - Assimilation: where the imperialist influeces the colony country. (like the French and British cultures among their colonies) - Revolution - Title Exchange - Empires survival/collapse - Convergence: when just one empire is survived (called grand empire) The WOA is inspired by the bubble-net hunting strategy. The Arithmetic Optimization Algorithm Inspired by the main arithmetic operators in mathematics: addition (A) subtraction (S) multiplication (M) division (D). Exploration: D & M > high dispersion Exploitation: A & S > low dispersion Let us SPOT few trends Trends: Compatible with ML and DL: - The combination between MOAs and NN is a trending direction in the modern literature that shows high capability in reducing the computational time and efforts. - Equipping AI features (e.g., Fuzzy Logic) within an optimizer, is also trendy as it gets the process done faster and more open to handle general families of optimization problems. - It is trending recently to use a random-search optimization algorithm during the exploration phase just to spot the most promising areas within the search space. Then to employ a deterministic or derivative-based optimization algorithm in order to exploit that promising areas. Reference: www.seyedalimirjalili.com Thanks!

High Impact Presentation

Transcript: 03 Integrate of smart building technologies to optimize energy efficiency and enhance user experience. Future Trends Dashboard and advanced analytics will be utilized to derive actionable insights from data, driving informed decision-making. 02 Examining the anticipated advancements in technology that will shape the future of facility management. 01 Artificial intelligence will play a important role in automating routine facility management tasks, improving overall efficiency. Painpoints/Experienced Stories THE HUGE PROCESS for Compliance and Security in application development THE CHANGES of business requirements due to the changes of operation process or policy NO EXPERIENCE in application development BALANCING betweene daily task and innovation/digitalization project Embracing Digitalization in Facility Management @BGSV- Shaping Workplaces of the Future BGSV/BDO (bdo.bgsv@vn.bosch.com) Increased operational efficiency Our Value Digitalization in Facility Management Cost reduction opportunities Enhanced decision-making processes Improved service delivery "Exploring the Role of IT Systems in Revolutionizing Facility Management for Enhanced Efficiency and Safety..." FCM Helpdesk FCM Helpdesk Dashboard Overview of IT Systems Developed for Digitalization EMERGENCY EVACUATION Facility & Technical Issues Smart Locker Present by: Vo Ngoc Kim Ngan (BGSV/BDO) Access Management System (SASAM) Protection and Security (PRS) 01 On Aug-2024, initial steps FCM Helpdesk enabled for both WEB & MOBILE Space Management System ~4,400 ~ 1 minute Locker Management System (on Space Management System) Feature and certified its efficiency by winning FIT FEST award/GR Award (FCM Console) Visitor Management System TICKETS RESOLVED AVERAGE TICKET CREATE TIME Protection and Security (PRS) Emergency Evacuation Emergency Evacuation Transforming Issue Management Smart Work Permit Employee Card Printing Solution (Core Services) Flexi Booking System Canteen Management System ~2,400hours/year ~1,4 hours Transportation Management System TIME SAVINGS Smart Work Permit AVERAGE RESPONSE TIME FCM Admin ~96% per total ~2,000hours/year ~150 hours/year Environment Health and Safety (EHS) SIM Card Management System 4.98/5.00 ~12,44 hours Mailing Management System ASSOCIATE REPORT TIME REDUCING ADMIN REPORTING SUMARIZE SERVICE FEEDBACK AVERAGE RESOLVE TIME TIME SAVINGS EHS Communication Channel EHS Training Tool 02 03 On Aug-2025, dashboard enabling FCM Helpdesk Dashboard is introduced On Jun-2025, AI adapted integrated to SENBOT, ticket is created directly from chatbot Environment Health and Safety (EHS) EHS TRAINING TOOL EHS Communication Channel The Call for Change First Steps of Digitalization The “Old Days” – Manual Era EHS Training Tool Why digitalization became necessary? Growing company size, more complexity. Demand for efficiency, speed, and transparency. Sustainability (less paper waste, long-term storage). Paper forms for every request. Repetitive and error-prone processes. Long approval chains and lack of transparency. Staff frustration: “boring, repetitive, low-value work.” 12 solutions had been submitted from every areas in FCM Manual → Semi-digital or some manual → Digital A lot of meetings, discussions, alignment happened The project started with very first modules... ~1,400 hours/year ~70% per total 4.8/5.0 TIME SAVINGS MANUAL WORK SAVINGS FEEDBACK RATE FOR EHS TRAINING ~80% ~1 minute ~4 topics ~80% TRIGGER TICKET CREATION AND KEEP TRACK ANSWER SOLVED THE COMMON QUERY OF ASSOCIATE FCM AREAS HAVE BEEN COVERED FOR QUERY SCOPE FCM PROCESSES, GUIDELINE HAVE BEEN TRAINED The Journey of Digitalization ~40k hours/year ~4.4k per total ~91% TRAINING HOURS ATTENDANCE/COMPLETION RATE LEARNING CERTIFICATE Smart Locker Access Management System (SASAM) Overview of Protection and Security Systems Pioneering across Bosch sites in Asia by comprehensively establishing Secure And Smart Access Management (SASAM) for all BGSV offices. Employee Card Printing Solution (Core Services) Access Management System (SASAM) End-to-end for the issue employee card Direct link onboarding data from HR Core Connect to AMS for card creation Adapt AI for photo adjustment and background remove Issue printing version follow the latest template of SASAM Protection and Security (PRS) Space Management System PRS Management System Temporary Card Request Access Key Management Kid Room Access Manage Property Movement Protection and Security (PRS) Employee Card Printing Solution (Core Services) Flexi Booking System The Journey of Digitalization in Facility Management 2021 - 2025 Locker Management System (on Space Management System) Visitor Management System 5 years ADMINISTRATION systems for Facility Management Canteen Management System Transportation Management System FCM Admin Mailing Management System SIM Card Management System “Our journey with the FCM Digitalization began with simple ideas to replace paperwork and manual tasks, and has evolved into every niche and area

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