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Educba
6d
123
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UnAIMyText Review
- UnAIMyText helps humanize AI-generated text for a more authentic tone.
- It allows rewriting up to 1,000 words without sign-up or subscription.
- The tool bypasses AI detectors and is ideal for students, writers, and professionals.
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Analyticsindiamag
6d
25
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Workday Doubles Down on India with Local Data Centre, Bigger Sales Push
- Workday is expanding its presence in India by setting up a local data centre and strengthening its sales operations, aiming to better serve both global and local customers seeking to modernize their operations.
- The company plans to offer services from an India-based data centre starting in the first half of 2026, allowing Indian customers to deploy Workday HCM, Financial Management, and Adaptive Planning on AWS located in India.
- The move will ensure data residency compliance and provide critical assurance to businesses operating in India's regulatory landscape, enhancing the adoption of Workday services in the region.
- Workday's investments in India include establishing a GCC in Chennai, expanding its presence with almost 700 employees, and appointing a dedicated country leader, demonstrating the company's deepening commitment to the Indian market.
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Analyticsindiamag
6d
308
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Replit Launches New Feature for its Agent, CEO Calls it ‘Deep Research for Coding’
- Replit has unveiled three new features for its coding assistant, Replit Agent, known as 'Dynamic Intelligence' to enhance context awareness, step-by-step reasoning, and autonomous problem-solving.
- The new features include Extended Thinking, High Power Model, and Web Search, aimed at handling complex software development tasks to reduce human intervention and improve solution quality.
- Users can toggle these features per request, tailoring the assistant's capabilities to task complexity. Replit's CEO, Amjad Masad, described the enhancements as enabling 'deep research for coding'.
- Replit's recent growth to over $100 million in annual recurring revenue without additional funding, coupled with the introduction of Dynamic Intelligence, underscores the company's commitment to making AI assistants more autonomous and developer-friendly.
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Analyticsindiamag
6d
223
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How TiDB Cloud Protects Your Data by Design and Simplifies Compliance
- Indian enterprises face pressure to safeguard data and comply with regulations amid cyber threats.
- TiDB's approach to data security and compliance is crucial for India's digital economy vision.
- TiDB Cloud integrates security features like TDE, TLS, RBAC, and real-time monitoring to ensure data protection.
- Automated security measures in TiDB reduce human errors and streamline compliance efforts.
- TiDB's proactive monitoring and strong security foundation empower businesses to protect sensitive data.
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Medium
6d
395
Image Credit: Medium
Google ADK Agents as User Defined Functions in BigQuery
- Utilize Google Agent Development Kit (ADK) agents in BigQuery User Defined Functions.
- ADK offers a streamlined process to build scalable multi-agent AI applications.
- Create an end-to-end workflow by designing, testing, and deploying ADK agents.
- Bridge the gap between ADK agents and BigQuery for advanced AI analysis.
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Medium
6d
164
Explaining Zama and Fully Homomorphic Encryption (FHE) and Its Impact on Blockchain
- Zama and Fully Homomorphic Encryption (FHE) are revolutionizing blockchain for privacy.
- Zama's tools enable encrypted data processing on blockchain, ensuring privacy and confidentiality.
- Fully Homomorphic Encryption (FHE) allows computations on encrypted data without decryption, enhancing privacy.
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Dev
6d
351
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Designing a News Feed System: Facebook and Twitter Architecture
- Designing a news feed system challenges senior engineers with distributed systems for scalability.
- Examining push vs. pull models, ranking algorithms, and challenges faced by celebrity users.
- Understanding the core problem: timeline generation, content ranking, scale handling, real-time updates.
- Hybrid push-pull approach balances efficiency and real-time updates for different user types.
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Medium
6d
123
Neural Networks Explained Simply — Part 1
- Neural Networks are machine learning models inspired by the human brain, made of layers of neurons that process data.
- Each neuron in a Neural Network takes inputs, weights them, adjusts flexibility with bias, and uses activation functions to determine the output.
- Weights in a Neural Network decide how much importance each input holds, while bias serves as a small adjustment, akin to a backup.
- Forward Propagation involves data moving through the network to produce output, while Backward Propagation allows the model to learn, adjust weights and biases, and reduce errors over time.
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Medium
6d
240
Image Credit: Medium
Are Data Engineers Doomed? What AI Means for Their Future
- AI advancements raise concerns about job security for data engineers, but collaboration is key.
- Data engineering requires human expertise to understand business needs, customize solutions and maintain pipelines.
- AI optimizes data tasks but falls short in nuanced decision-making; data engineers are essential.
- Automation in data engineering is improving ETL processes and data cleansing with AI.
- While AI streamlines tasks, human data engineers' critical thinking remains invaluable.
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Analyticsindiamag
6d
193
Image Credit: Analyticsindiamag
Indian BFSI Reinvents Risk Detection with AI-Driven Early Warning Systems
- Traditional credit risk management struggles to detect early signs of borrower distress.
- AI-driven early warning systems automate monitoring, benefitting borrowers, transform risk management in BFSI.
- AI enables real-time data ingestion, identifies emerging stress signals, reshapes credit risk models.
- Encora uses AI for customer insights, Encora and BCT Digital deploy AI-driven EWS.
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Medium
6d
78
Image Credit: Medium
Role of a Cybersecurity Analyst: Protecting the Digital Frontline
- A Cybersecurity Analyst is responsible for tasks like threat detection, incident response, vulnerability assessment, and security audits.
- Roles include monitoring logs, updating security policies, conducting employee training, and simulating attacks for defense improvement.
- They use tools like SIEM, endpoint protection, network monitoring, threat intelligence, password auditing, and encryption tools.
- Essential skills for cybersecurity analysts include analytical thinking, attention to detail, communication, problem-solving, network and OS knowledge, and certifications like CEH or CISSP.
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Medium
6d
408
Image Credit: Medium
Navigating the AI Frontier in Higher Education: Transforming Learning and Operations
- Artificial intelligence is driving transformation in higher education, revolutionizing operations and learning experiences.
- Higher education institutions are exploring AI to improve student outcomes, offering personalized learning.
- AI streamlines administrative tasks, enhances student support, prepares students for AI-driven careers.
- Universities must embrace AI while prioritizing innovation, ethics, and student needs for success.
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Analyticsindiamag
6d
11.8k
Image Credit: Analyticsindiamag
HCLTech, Equinor Join Forces For AI and AR in Workspace
- HCLTech and Equinor have expanded their technology partnership to support Equinor's digital transformation, focusing on IT operations like cloud migration, cybersecurity, and user experience.
- HCLTech will help accelerate Equinor's cloud migration, enhance cybersecurity, and improve workplace efficiency with automation and augmented reality technologies.
- The collaboration between the two companies reflects a commitment to innovation and sustainability, marking a long-term alliance focused on digital growth and business goals.
- HCLTech has also announced a partnership with OpenAI to drive enterprise AI, giving the company privileged access to OpenAI's AI portfolio and positioning it uniquely in enterprise AI adoption.
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Medium
6d
20
Image Credit: Medium
Unlocking the Power of Synthetic Data Validation
- Synthetic data validation is crucial for ensuring the reliability and effectiveness of artificial datasets used for training AI models.
- Understanding and applying the right metrics and best practices are key to achieving high-quality outcomes in AI projects.
- Evaluating synthetic data quality involves a combination of carefully selected metrics and validation strategies to ensure usefulness, privacy, lack of bias, and statistical accuracy.
- Validating synthetic data is essential as it prevents the risk of models performing well on synthetic data but failing when tested on real-world data.
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Analyticsindiamag
6d
3.4k
Image Credit: Analyticsindiamag
Accenture, ServiceNow and Palantir Teach Startups How to Make AI Money
- Accenture and ServiceNow lead in enterprise AI, raking in billions annually.
- OpenAI shifts focus to services, competing with consulting giants like Accenture.
- AI startups learn that enterprises seek end-to-end solutions, signaling a new paradigm.
- Indian IT firms like TCS, Infosys, and Wipro face revenue challenges in AI adoption.
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