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Data Analytics News
Medium
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University of Karachi’s Deep Learning Workshop with NVIDIA is Here to Ignite Your Tech Journey!
- The University of Karachi’s Department of Computer Science, in collaboration with NVIDIA Deep Learning Institute (DLI), is hosting a two-day workshop on the Fundamentals of Deep Learning on April 15th and 16th.
- The workshop aims to equip students, staff members, and researchers with the skills to solve real-world challenges using cutting-edge technology.
- Led by Dr. Humera Tariq, an NVIDIA DLI Ambassador, participants will explore artificial intelligence, computer vision, and machine learning applications.
- The University of Karachi has a strong track record in developing tech talent, and this workshop aligns with their mission of producing skilled professionals ready to tackle global challenges.
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HRKatha
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LKQ Europe and Infosys forge digital HR Revolution
- LKQ Europe has partnered with Infosys to implement a cloud-based HR platform across 18 countries.
- The platform aims to harmonize operations, reduce costs, improve compliance, and enhance employee experience.
- It leverages advanced analytics to provide real-time insights and features self-service capabilities.
- The initiative reflects the growing trend of digital transformation in traditional industries for better workforce management.
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Medium
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17
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Applications of Artificial Intelligence PCBs in Data Analysis
- Artificial intelligence PCBs are circuit boards designed for AI computing and big data analysis.
- Main features of AI PCBs include high computing power support, high-speed data transmission, and low power consumption optimization.
- Applications of AI PCBs in data analysis include large-scale data processing, edge computing, intelligent data storage and management, and intelligent transportation and behavior analysis.
- Future trends for AI PCBs include higher integration, advanced materials, and integration with quantum and neuromorphic computing.
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Pymnts
3w
274
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Three Macro Trends in GenAI for Financial Services
- GenAI and agentic models are reshaping financial services by enhancing user experience, fraud detection, payments innovation, and compliance processes.
- Key trends identified by John Kain of AWS include end-to-end user experience enhancement, data modernization, and embedded financial services.
- Real-time payment systems globally, such as India's UPI and Brazil's Pix, are becoming prominent, influencing customer expectations and posing challenges for infrastructure and fraud prevention.
- AI is increasingly utilized for fraud detection in instant payments, with techniques like distributed model training and clean room environments to share fraud data.
- Agentic AI, particularly AI agents, is gaining traction in serving customers more effectively through tasks like call center automation, compliance, and personalization.
- Models like retrieval-augmented generation (RAG) are improving accuracy and guarding against hallucinations in financial decision-making processes.
- AWS is addressing cost concerns related to GenAI through custom chips, model distillation, and flexible model options, offering clients choices to optimize performance and cost.
- Clients can leverage AWS models like Nova and DeepSeek R1, which provide cost-effective alternatives for tasks like AML while maintaining performance.
- Customers are encouraged to experiment with different models and price points to find optimal solutions that balance quality and cost effectiveness.
- Kain highlights the importance of flexibility in model selection and cost optimization for financial institutions adopting GenAI technologies.
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Medium
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282
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No reporting is like sailing without a compass
- Robust reporting builds trust
- It ensures accountability and alignment
- Meticulous reporting framework provides credibility to investors
- Data-driven adjustments improve user trust and experience
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Designveloper
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What Is Data Classification: Best Practices And Data Types
- Data classification is a method of categorizing data for easier storage, management, and extraction, helping businesses comply with data privacy regulations.
- It allows grouping data based on sensitivity levels to protect confidential information and prevent breaches.
- There are four types of data: Public Data, Internal-Only Data, Confidential Data, and Restricted Data.
- Approaches to classify data include Content-Based, Context-Based, and User-Based Classification.
- Reasons to classify data include personal data protection, risk mitigation, compliance, analytics, and efficiency.
- Best practices for data classification include making it a priority, creating a schema, minimizing sensitive data, educating employees on compliance, conducting risk assessments, implementing security measures, and regular monitoring.
- Data classification enhances data security, data privacy, and overall productivity within a business environment.
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Pymnts
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190
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Experian Targets ‘Credit Invisible’ Borrowers With Cashflow Score
- Experian has launched Cashflow Score to increase financial access for individuals with limited credit history.
- The tool provides lenders with cashflow insights using bank account data, helping thin file and credit invisible consumers improve financial access.
- By leveraging consumer-permissioned transaction data, Experian scores the data based on attributes and shares it with lenders to make informed decisions.
- This tool aims to address the challenge faced by borrowers with lower credit scores in improving their credit standing.
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Inkbotdesign
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How to Create a Customer-First Retail Marketing Strategy
- Most retail marketing strategies focus on products, promotions, and profit instead of customer needs, resulting in wasted ad spend and ineffective loyalty programs.
- Successful brands prioritize customer-centric strategies by understanding buyer preferences and creating personalized campaigns tailored to their needs.
- Benefits of customer-centric marketing include increased customer loyalty, higher satisfaction, personalized marketing, improved experiences, and enhanced revenue growth.
- Utilizing consumer data for strategy development involves segmentation, personalized marketing, product development, and improving customer experiences based on insights.
- Market research is essential for understanding customer needs, identifying trends, evaluating competition, and reducing risks in decision-making.
- Real-world examples from Starbucks, Zappos, and Netflix demonstrate the success of customer-centric marketing in personalized promotions, exceptional customer service, and tailored recommendations.
- Key statistics highlight the importance of personalized and community-driven strategies, seamless shopping experiences, and leveraging technology for customer engagement.
- Implementing CRM systems enhances customer relationships, and measuring success through KPIs allows businesses to optimize strategies and drive continual improvement.
- Successful implementations by industry leaders like Amazon, Nike, and Sephora showcase embracing data analytics, fostering personal relationships, innovating with technology, seeking feedback, and building communities.
- Predictions point towards customer-co-designed products, the rise of retail media networks, and the impact of privacy regulations on personalization strategies.
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Medium
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221
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Data as building blocks
- Data is the building block for various processes, analyses, and controls.
- Before processing data, it is important to understand the demand and map it according to business requirements.
- Normalization and orderly loading of data are crucial for effective analysis and utilization.
- Proper data management, including both categorical and quantitative data, contributes to creating a single source of truth.
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Pymnts
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257
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9fin Acquires Bond Radar to Strengthen AI-Powered Analytics Platform
- 9fin has acquired Bond Radar to strengthen its AI-powered analytics platform for debt capital markets.
- The acquisition will provide 9fin with historical data and market reach from Bond Radar.
- The integration of Bond Radar's resources will solidify 9fin's position as a comprehensive tool for debt market professionals.
- The acquisition will also facilitate 9fin's expansion into new markets and asset classes.
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Medium
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124
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AI for Market Basket Analysis: Unlocking Consumer Insights
- Market Basket Analysis is a data mining technique used to understand customer purchasing behavior.
- Traditional MBA relies on statistical techniques like the Apriori algorithm or FP-Growth.
- AI enhances Market Basket Analysis through association rule learning, deep learning models, recommendation systems, and natural language processing (NLP).
- With advancements in AI, businesses can drive sales, optimize inventory, and deliver personalized experiences.
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Insider
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39.5k
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An AI expert credits her Big Tech career success to 'The Secret.' These 3 lessons made the biggest impact.
- Dream Bigger – Grover stopped limiting herself to “realistic” goals. She visualized writing a book and soon found opportunities to make it happen, publishing Sculpting Data for ML in under a year.
- See Success Before It Happens – She imagined herself excelling in challenging roles, which helped her stay confident. During X’s post-acquisition chaos, she visualized resilience, adaptability, and leadership.
- Turn Visualization into Action – Beyond envisioning success, Grover combined technical expertise with belief in possibilities. This mindset helped her land her current role at Bordo AI, spotting opportunities where others saw risks.
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Medium
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226
How Data Analytics is Revolutionizing Customer Experience Management: Personalization and Loyalty…
- Data analytics is revolutionizing customer experience management by delivering personalized experiences that increase satisfaction and loyalty.
- Businesses use data analytics to optimize the customer journey and build data-driven customer experiences.
- Case studies from Amazon, Starbucks, Delta Air Lines, and Netflix demonstrate the successful implementation of data analytics in enhancing customer experiences.
- By leveraging data analytics, businesses can improve customer satisfaction, increase revenue, and build a stronger brand presence.
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Medium
4w
57
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The Evolution and Impact of Aeroplanes.
- Aeroplanes have a fascinating history that dates back to Leonardo da Vinci's sketches and finally saw success with the Wright Brothers' flight in 1903.
- Aircraft technology has evolved significantly since then, with advancements in both military and commercial aviation.
- During World War I, aeroplanes were used for military purposes, and in the 1920s and 1930s, commercial airlines began to emerge.
- Today, aeroplanes continue to play a vital role, offering various benefits but also facing challenges amidst opportunities for future development.
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Medium
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320
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Digital Twins, Extended Reality, and Artificial Intelligence in Manufacturing Recinfiguration…
- Digital Twins are dynamic, real-time virtual replicas of physical manufacturing assets, enabling simulation, monitoring, and analysis.
- Extended Reality improves human-machine interactions with immersive interfaces, visualizing complex processes and guiding reconfigurations.
- Artificial Intelligence enhances manufacturing through predictive analytics, real-time decision-making, and automation.
- Integrating Digital Twins, Extended Reality, and Artificial Intelligence provides real-time data visualization, predictive insights, and supports seamless reconfigurations.
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