Latifa Alqabani

10 imperatives of Chief Data Officers (CDOs) to build a data-driven enterprise! #BigData #DataAnalytics #DataManagement #DataGovernance #MachineLearning #ArtificialIntelligence #NDMO #SaudiVision2030 #AI #ذكاء_اصطناعي #تعلم_الاله #GenerativeAI #AIGovernance #Insights #DecisionMaking #ChiefDataOfficer

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Pioneering Data Governance in Saudi Arabia Data governance is a cornerstone of Saudi Arabia’s Vision 2030, ensuring data integrity, security, and optimal utilization. Key Components: Data Quality Management: - Ensuring data accuracy and reliability. Data Security and Privacy: - Protecting data and ensuring compliance with SDAIA policies. Data Stewardship: - Assigning roles for data management. Regulatory Compliance: - Adhering to data governance standards. The Personal Data Protection Law (PDPL): Consent and Transparency: - Explicit consent and clear data usage information. Data Subject Rights: - Rights to access, correct, and delete personal data. Data Security Measures: - Robust measures to protect personal data. Compliance and Penalties: - Significant penalties for non-compliance. Vision 2030 and Data Governance: - Enhancing public sector efficiency. - Supporting digital economy growth. - Fostering innovation through reliable data. Challenges and Opportunities: - While ensuring compliance and managing data growth are challenges, the opportunities for excellence in data management are vast. #DataGovernance #SaudiArabia #Vision2030 #DigitalTransformation #DataSecurity #PDPL

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I am thrilled to share some of the work I've undertaken during my virtual work experience as a Data analysis in stc📺✨! Summary of Key Tasks: Statistical Analysis: Conducted comprehensive analysis to extract critical insights from datasets. Viewer Categorization: Classified and analyzed viewer categories by program type (movies vs. series). Viewing Patterns: Investigated user preferences for SD vs. HD quality. Predictive Modeling: Developed a model to forecast customer views, identify peak periods, and pinpoint potential customers. Recommendation System: Created a model to suggest content based on similar user preferences, for both Arabic and English content. Top Recommendations: Generated top 5 recommendations for viewers of specific movies. Data Storytelling: Prepared and delivered presentations with analysis results and actionable recommendations. Improving User Experience: Compiled findings into PowerPoint presentations to enhance user experience further. https://lnkd.in/ednX-xWT #DataScience #MachineLearning #UserExperience #Analytics #RecommendationSystem #DataStorytelling #PredictiveModeling

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Skills improvement and knowledge enrichment are an endless journey, so we have to keep eager upskilling ourselves arming our experiences with the effective tools aligned with the latest trends. DATA BOOSTER PLUS+. #KUBICLE #PWC #AI #DATA_DRIVEN #DIGITAL_TOOLS #DATA_ANALYSIS

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#Financial Services and Bridging #UX and #AI for Unmatched Customer Experience As the financial services landscape continues to evolve, the integration of #UX_design and #AI technology stands at the forefront of creating exceptional customer experiences.  1. Strategic and Creative Problem SolvingIn the world of finance, navigating complex challenges requires a blend of strategic vision and creative problem-solving. AI enhances our ability to analyze vast datasets, uncovering insights that guide more effective design strategies. By predicting customer behaviors and preferences, we can craft solutions that anticipate and meet user needs, ultimately driving higher satisfaction and engagement. 2. Information Architecture and Journey MappingSimplifying the presentation of complex financial information is crucial. #AI-powered dynamic information architectures adapt to individual user behaviors, ensuring a personalized experience. This adaptive approach not only improves usability but also strengthens the connection between customers and their financial goals. 3. #UX Methodology and Detailed UI DesignIntegrating AI into UX methodologies revolutionizes our design processes. Machine learning algorithms provide real-time feedback on user interactions, informing iterative improvements. This feedback loop helps us create UI designs that are both aesthetically pleasing and highly functional, enhancing the overall user experience. I am confident that the synergy of AI and UX design will unlock new dimensions of customer-centric innovation in the financial industry. The future is bright for those who can seamlessly integrate these technologies to enhance customer experiences.

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##Digital_transformation_in_Banking_Sector Digital transformation in banking refers to the integration of digital technologies and innovative strategies into the financial services sector to improve operational efficiency, enhance customer experiences, and adapt to the evolving market landscape. This process involves the modernization of traditional banking systems, processes, and business models, enabling banks to deliver seamless, convenient, and secure services through various digital channels. Digital accounts are an ideal example of modern technology in a bank’s digital transformation that supports the digital engagement of customers. By automating the opening of accounts , banks can improve the customer experience and reduce the time it takes to open an account. The financial industry is also experiencing a profound transformation because of digitization. New technologies such as blockchain, smart contracts, and more have paved the way for advanced financial solutions shaking up the status quo. These innovative solutions offer a level of efficiency, security, and convenience that is unmatched by traditional banking systems. The following are some of the key drivers of this transformation: ##Mobile_Apps- Mobile banking is one of the main drivers of digital transformation in the banking industry. With the widespread use of smartphones, customers have easier and faster access to information and the tools to make financial decisions. ##Importance_of_Customers- Banks must prioritize putting their customers at the center of their digital transformation efforts. ##_Modernized_Infrastructure- Banks must invest in modernizing their infrastructure to support digital transformation. This includes upgrading hardware, software, and networks to support digital operations and provide a seamless customer experience. ##The_Power_of_Data- Data is a critical driver of digital transformation in the banking industry. By leveraging customer data, banks can gain valuable insights into customer behavior and preferences, improve their decision-making processes and deliver more personalized and relevant services. #bankinginnovation #digitalamarketing #digitaltransformations #financialtransformation #competitiveadvantage #iotsolutions #digitalcollaboration #digitalrevolution #digitalbanking #digitalanalytics

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We were pleased to participate in the Informatica Summit in #Riyadh the presence of the CEO, Mr. Amit Walia Many important topics in the field of data and artificial intelligence were discussed. Many thanks and appreciation to everyone who participated in organizing this important Summit. ✨️ #informaticaworld. Informatica Summit in Saudi Arabia to Accelerate Path to Cloud-Powered Digital Transformation https://lnkd.in/eY4Tkjjb

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👏🏻👏🏻First Cultural Institution to ever receive accreditations in both Partnership and Governance management systems globally🥇🏆 Dubai Culture & Arts Authority (Dubai Culture) announced that it has earned multiple accreditations in four new International Organisation for Standardization (ISO) standards. These certifications are in Business Continuity Management Systems (ISO 22301:2019) and Risk Management Systems (ISO 31000:2018). Dubai Culture also received the (ISO 44001:2017) accreditation in Collaborative Business Relationships Management Systems and another accreditation in (ISO 37000:2021) Governance Management Systems, making it the first cultural institution globally to attain such a distinction, aligning with its efforts to implement international best practices to empower the culture and arts sector. Dubai Culture earned these ISO certifications following its successful completion of comprehensive audits done by Lloyds Registered Quality Assurance (LRQA), demonstrating its keenness and commitment to applying international standards in numerous management systems, a true testament to Dubai Culture’s active role as a leading arts and cultural hub in the region and worldwide. Hala Badri , Director-General of Dubai Culture, highlighted the Authority’s competitiveness in the sector. She said, “Being awarded these certifications is a significant addition to the Authority’s achievements and a crucial step in our ongoing efforts to develop our work mechanisms, implement all quality systems, and achieve sustainable corporate excellence across various administrative systems. Dubai Culture will continue to strive for a brighter future, exploring opportunities with full dedication towards implementing international best practices and harnessing sustainable excellence fundamentals. The new certifications affirm our possession of an integrated management system, with a clear methodology in partnership and crisis management, focusing on corporate governance and its various applications. This reflects the effectiveness of our strategies for an inclusive work environment, enriching the local cultural and artistic scene.” Rashed Aref Alshaikh , Director of the Strategy and Corporate Excellence Department at Dubai Culture, commented, “These certifications highlight the extensive efforts made by the Authority to enhance organisational and administrative performance, empower its workforce, and foster a spirit of innovation. This contributes to improving the quality of our services, standardising the administrative frameworks and methodologies, and aligning them with strategic goals, ultimately sustaining positive results at all levels.” https://lnkd.in/dp22Q7CQ

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Join us our upcoming Excel session.

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🎉 Just completed Course #4 of the Power BI Fundamental track on DataCamp, which was a case study applying data analysis steps in Power BI! Mastered key steps and learned to use Power BI Desktop and Service effectively. #PowerBI #DataCamp #DataAnalysis #ContinuousLearning #DataVisualization

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Capability building in 2030 by McKinsey & Company 🔷 Tech-enabled and personalized 👨‍💻 👩‍💻 💠 What leaders should do ⁉ 🔶 Capability building as a strategic advantage 😎 #capabilitybuilding #leaders #personalization #strategy #capability #team Loay M. Aly Agility Transformation 🧠

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Models for Machine Learning engineers and data scientists are fun as well as Tableau or dashboard for BI/data analysts However, a data project is not simply that: 1- the work should keep cash flowing (long term) 2- avoid business losses 3- a non foreseeable return on investment (roi) might induce jobs cut or department shut. 4- learning about business matters should be the everyone business 5- communication needs to be going back and forth between data nerds and execs. kill the project if necessary or not contributing. 6- the company should monitor the ongoing project continuously. A safer way to protect each individual contributing and fulfilling his/her role. #data #dataptoject #roi #companies #datascience #ml #dataanalytics #dataengineering

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So, the webinar was pushed to today at 7pm. If you want to have some insight into AI in corporates join me at 7pm KSA time.

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A succinct summary of common machine learning models. I love it!

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🚀 Enhancing MLOps for Seamless Machine Learning Deployments! 🌐 Exploring MLOps, where precision meets scalability in deploying Machine Learning models. Here’s how a systematic MLOps pipeline ensures a robust journey from data to deployment, using an illustrative example: A. MLOps Project Initiation: - Business Problem Analysis: Define goals based on data insights, such as predicting customer churn in a telecom dataset. - Design Architecture: Choose tools and technologies for building predictive models, ensuring scalability. - Derive ML Problem: Frame the problem, e.g., predicting customer churn as a binary classification task. - Understand Required Data: Identify essential features (e.g., usage patterns, demographics). - Connect to Raw Data: Access dataset (e.g., telecom customer records). B. Feature Engineering Pipeline: - Define Transformation Rules: Handle missing data, engineer features like usage trends and customer demographics. - Define Engineering Rules: Normalize data, encode categorical variables for model readiness. - Data Extraction & Cleaning: Extract data from sources, cleanse for consistency. - Feature Engineering: Create new features, such as derived metrics or customer segments. - Data Ingestion: Store prepared data for model training. C. Experimentation: - Data Analysis: Explore relationships between customer attributes and churn rates. - Data Preparation & Validation: Split data for training/testing, validate model inputs. - Model Training: Experiment with algorithms (e.g., decision trees, neural networks) to find optimal solutions. - Model Validation: Assess model performance through metrics like accuracy and precision. - Export Model: Save best model for deployment. D. Automated ML Workflow Pipeline: - Automated Experimentation: Implement automated pipelines to test multiple algorithms and hyperparameters. - Feedback Loop System: Incorporate user feedback and real-time data to continuously improve models. - Drift Detection: Monitor both data and model drift to ensure model performance aligns with changing real-world conditions. - Model Retraining: Schedule regular retraining cycles based on drift detection and performance metrics. - Monitoring Component: Track deployed model performance, ensuring consistency and reliability in predictions. - Model Serving Component: Deploy models for real-time predictions, integrating seamlessly with operational systems. This comprehensive MLOps workflow ensures efficiency and reliability throughout the development-to-deployment cycle, critical for successful AI integration and business impact. Let’s innovate with data-driven solutions! 🌟💡 #MLOps #MachineLearning #DataScience #AI #Deployment #TelecomData #Innovation

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It was a wonderful experience as a Technical Program Committee (TPC) member for ICIESTR 2024. To support in reviewing papers of Innovative projects and Researches in Technology and Applied Sciences. Thanks to University of Technology and Applied Sciences and Dr. Zainab Alansari for this opportunity. #Technology #appliedscieneces #AI #DIGITALTRANSFORMATION

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