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Data Analytics News
Medium
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283
The Rainbow Effect: How Colors Mess with Our Emotions
- Research has shown that colors can actually change our brain chemistry and affect our mood.
- Different color palettes can evoke specific emotions and create memorable brand experiences.
- Warm and cozy colors make us feel happy, energetic, and hungry for more.
- Understanding the emotional impact of colors helps designers create more effective designs.
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Medium
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Uncovering the Hidden Gem of DeFi: Why XBANKING (XB) is the Most Undervalued Token
- XBANKING's innovative approach to DeFi and commitment to pushing boundaries make it an undervalued token.
- The relatively low market capitalization presents a unique investment opportunity.
- XBANKING's dividend distribution mechanism adds transparency and eliminates intermediaries.
- The platform's commitment to financial inclusion makes it accessible to a global audience.
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Medium
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438
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Agents: The Next Frontier of Generative AI in Multi-Agent Concierge Systems
- Generative AI agents are becoming pivotal in automating and optimizing various processes across industries.
- The integration of intelligent agents in concierge systems enhances user experiences and streamlines services.
- AI agents offer advantages such as managing complexity, responding to natural language commands, and seamless integration with existing tools.
- Edgematics is leading the charge in utilizing GenAI agents to improve operational efficiency and drive growth and innovation.
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Medium
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Building a Data-Driven Product Strategy: A Comprehensive Guide to Tools, Metrics, and…
- Companies that adopt data-driven decision-making are 23% more likely to acquire customers, 6x more likely to retain customers, and 19x more likely to be profitable.
- Only 31% of companies consider themselves truly data-driven.
- The author shares a personal story about their experience at Wealthy and the need for a data-driven approach.
- Data-driven product management is a journey, not a destination. Start with basics, focus on actionable metrics, and gradually build your data muscle.
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Medium
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Demystifying XBANKING: Uncovering the Secrets of this DeFi Powerhouse
- XBANKING is a non-custodial DeFi platform specializing in staking, restaking, and liquidity pools across multiple blockchain networks.
- Key features of XBANKING include multi-blockchain support, non-custodial security, staking and restaking services, and liquidity pools.
- Benefits of using XBANKING include increased rewards, improved security, increased liquidity, and a simplified DeFi experience.
- XBANKING is revolutionizing decentralized finance with its user-friendly interface and accessibility.
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Medium
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251
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Filling the Void: Designing for Data Visualization’s Quiet Moments
- Designing empty states for data visualizations in Figure8 Design System for CX Cloud
- Focused on creating an empty state that guides users through gaps in data
- Differentiating between Null, Error, and Empty states for distinct user experiences
- Iterative design process and collaboration to refine visual options
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TechBullion
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Innovations Driving the Future of Cloud Infrastructure and Data Analytics in Travel
- Cloud infrastructure and real-time data analytics are driving innovations in the travel industry.
- Cloud solutions enhance operational efficiency, optimize routes, and improve customer satisfaction.
- Cloud technology and data analytics empower sustainable travel practices by reducing energy consumption and promoting eco-friendly choices.
- Robust cybersecurity frameworks and emerging technologies like quantum computing protect sensitive travel data and ensure data integrity.
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HRKatha
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How companies are harnessing the power of data to predict, retain, and inspire talent
- Workforce analytics is becoming a strategic tool for companies in talent management.
- Predicting attrition is a significant application of workforce analytics, helping companies identify turnover patterns and introduce engagement strategies to retain critical talent.
- Analytics is used for workforce planning to optimize staffing levels, anticipate skill gaps, and strike a balance between permanent and contract workers.
- Workforce analytics revolutionizes performance measurement by supplementing traditional appraisals with real-time metrics and identifying high-potential employees while flagging signs of disengagement.
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Medium
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From Data to Decision: How AI Powers Smart Solutions
- The journey from data to decision-making involves the machine learning pipeline and the use of AI technologies.
- Raw data is often messy and needs to be processed and cleaned to be usable.
- Tools and steps in modeling, such as ML algorithms and data preprocessing, are essential in extracting valuable insights from data.
- AI has various applications, including personalized recommendations in streaming platforms, improved healthcare diagnostics, and traffic optimization.
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Medium
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Learn about future artificial intelligence molding with itself and shape your future accordingly.
- Artificial intelligence involves the development of machines that simulate human behavior and cognition.
- Examples of AI in everyday life include virtual assistants like Siri and Alexa, and self-driving cars.
- Benefits of AI include increased productivity and cost savings, but there are concerns about job loss and privacy.
- AI has the potential to significantly shape the future and impact various industries.
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Softwareengineeringdaily
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Palantir with Akshay Krishnaswamy and Christopher Jeganathan
- Palantir Technologies is a data analytics and software company specializing in building platforms for integrating, analyzing, and visualizing large datasets.
- Akshay Krishnaswamy is the Chief Architect and Chris Jeganathan is a Group Lead at Palantir.
- They join the podcast to talk about the evolution of Palantir, its technology, the AIP platform, and more.
- The post is from the Software Engineering Daily website.
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TechBullion
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Abhishek Gupta: Solving Network Assurance with Stream Processing, Cloud Technologies, and Advanced Data Analytics.
- Abhishek Gupta is an expert in network assurance using stream processing, cloud technologies, and data analytics.
- His work focuses on building scalable systems for network troubleshooting, monitoring, and real-time analytics.
- Gupta's expertise includes stream processing, windowing, event-time processing, and cloud-native solutions.
- He emphasizes the integration of advanced analytics techniques with scalable systems for real-time data processing and analysis.
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Pymnts
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The True Cost of Fraud Goes Well Beyond Dollars Lost
- Payments companies have partnered with or acquired companies to help them deal with fraudsters. AI shows promise as a fraud detector and defender, but criminals are using it to facilitate financial and identity theft. Fraud in financial services carries implications beyond immediate financial losses, impacting consumer confidence and reputation. Discover aims to identify vulnerabilities early and address them before they escalate. Fraud prevention is not only a technical issue but also a reputational one concerning consumer trust. Tokenization has emerged as a fraud defence, requiring no added steps in the payment process, supporting Discover's fraud mitigation efforts and its commitment to ease of use. Tokenization minimizes risks for customers and businesses. Discover sees brand reputation and consumer confidence as key assets that require continuous protection. Advanced analytics and machine learning are essential to detect and assess unusual patterns, helping Discover stay agile against emerging threats. Data insights provide Discover with a clearer picture of merchant practices, helping the company identify potential risks and intervene when needed. Discover aims to promote transaction security and uphold compliance, balancing operational security with customer and merchant expectations.
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Medium
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450
Stored Procedures vs Functions: A Comprehensive Guide to SQL Essentials
- A stored procedure retrieves employee details and returns an output parameter, while a function only returns the employee name as a result.
- Functions are used in SELECT queries to calculate derived columns, whereas stored procedures cannot perform such calculations.
- Stored procedures can handle error conditions like 'divide-by-zero' by using exception handling, whereas functions assume valid inputs.
- Joining a function that calculates discounts with a product table is more efficient than executing a procedure for each discount calculation.
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27 Likes
Medium
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Unlocking Insights: A Comprehensive Guide to Data Analysis
- Gathering relevant and accurate data is the first step in data analysis.
- Data cleaning is crucial to ensure the integrity of the analysis.
- Exploratory data analysis (EDA) helps identify patterns and outliers.
- Data transformation prepares the data for advanced analysis techniques.
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