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Analyticsindiamag

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Nokia, Honeywell Join Numana to Advance Quantum-Safe Networks

  • Finnish telecom company Nokia and Honeywell Aerospace Technologies have partnered with Numana to develop quantum-safe networks.
  • The collaboration will use Numana's Kirq Quantum Communication Testbed in Montreal to test and validate quantum-secure technologies.
  • Nokia will contribute expertise in post-quantum networking, while Honeywell will deliver quantum-secure encryption keys for space-to-terrestrial communication.
  • The partnership aims to accelerate the adoption of quantum-safe solutions and prepare organizations for the challenges of the Quantum 2.0 era.

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Analyticsindiamag

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Why are OpenAI and Meta Trying to Woo Reliance?

  • OpenAI is in talks with Reliance Industries for a potential partnership to integrate ChatGPT and other AI tools into Reliance's businesses, aiming to leverage Reliance's businesses like Jio.
  • OpenAI considered reducing ChatGPT's subscription price in India by up to 85% to attract more users, exploring a partnership with Jio to bundle ChatGPT into mobile plans at a lower rate.
  • Reliance and Meta are both looking to partner with Reliance, with OpenAI currently leading in Indian AI adoption.
  • Reliance's investments in AI, data hosting services, and full-stack AI teams align with its goal to transform India's digital economy and democratize technology.
  • Reliance aims to replicate its success in the telecom industry by offering affordable data and connectivity, potentially lowering the cost of AI access through partnerships.
  • AI technology is deemed crucial for Reliance's growth, with investments in AI firms like Haptik and Embibe, and initiatives like Jio Brain and Jio AI-Cloud.
  • The vast user base and data generated by Jio present an opportunity for OpenAI to develop personalized AI models and educational tools tailored to regional languages and needs.
  • India's regulatory landscape poses challenges, but Reliance's established relationships and infrastructure could help OpenAI navigate these hurdles.
  • The collaborative efforts between tech giants like OpenAI, Meta, and Reliance are shaping the future of AI adoption and affordability in India.
  • Reliance's vision for AI leadership involves democratizing technology, empowering digital growth, and using AI to enhance consumer experiences.
  • Jio's substantial market share and infrastructure provide a strategic platform for AI distribution, potentially reaching even remote areas in India.

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Analyticsindiamag

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DeepSeek-V3 is the Highest Scoring Non-Reasoning Model – ‘A Milestone for Open Source’

  • DeepSeek-V3, the general-purpose AI model, achieves the highest score among non-reasoning models.
  • The updated model, DeepSeek V3-0324, ranks first in benchmarks on the Artificial Analysis platform.
  • It surpasses competing models in the GPQA Diamond benchmark, achieving a score of 66%.
  • DeepSeek plans to release the upcoming DeepSeek-R2 reasoning model based on V3-0324.

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Appsilon

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FDA Compliance in Software Development: Cases Where Poor Software Quality Led to Costly FDA Rejections

  • Poor software quality can lead to costly FDA rejections in drug development, causing financial losses and delays in patient treatments.
  • Issues like insufficient clinical evidence, manufacturing concerns, and missing data are common reasons for FDA rejections, along with software quality problems.
  • The FDA scrutinizes software tools used in data analysis and clinical trials, such as R and Python scripts, for compliance.
  • Cases like Applied Therapeutics losing 80% of its valuation due to an FDA rejection highlight the impact of software-related compliance issues.
  • FDA inspections occur for various reasons, including pre-approval, routine GMP, for-cause, follow-up, and post-market checks in the pharma industry.
  • Software-related compliance issues found in FDA inspections include software bugs, lack of security controls, missing audit trails, and poor system validation.
  • Appsilon helps companies achieve GxP compliance, offering services like audits, building compliant dashboards, and assisting with FDA and EMA submissions.
  • GxP compliance is crucial in industries like pharma, and Appsilon can support companies in meeting regulatory requirements and mitigating risks.
  • Navigating GxP compliance complexities requires companies to ensure high software quality and adherence to regulatory standards to avoid costly setbacks.
  • For pharma teams, understanding quality and compliance, and utilizing resources like Appsilon's services, can streamline the FDA and EMA submission process.

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Deloitte Launches Global AI Simulation Centre of Excellence in Bengaluru

  • Deloitte expands its Global Artificial Intelligence (AI) Simulation Centre of Excellence (CoE) in Bengaluru.
  • The CoE aims to support clients worldwide with real-time simulations, decision-making insights, and advanced AI-powered solutions.
  • Deloitte has invested between $5 million and $10 million in the initiative to power next-generation capabilities.
  • The CoE specializes in four types of AI-driven simulations to optimize decision-making, increase efficiency, and reduce risk.

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Hackernoon

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I Got Cancer, my Doctors Gave up on my Quality of Life—I Built an AI-app to Help Myself and Others

  • A bioinformatics and data science researcher diagnosed with Stage 3 rectal cancer faced challenges with Lower Anterior Resection Syndrome (LARS) post-surgery, affecting bowel control.
  • Struggling with daily issues like frequent bathroom visits, unpredictability, pain, and discomfort, the individual was offered an ostomy bag for life as a solution.
  • Motivated to find a better alternative, the individual decided to create an AI-powered platform, SANJEEVANI AI, to help cancer survivors regain health control.
  • SANJEEVANI AI utilizes machine learning models, gut microbiome analysis, and real-time medical knowledge retrieval to provide personalized health recommendations.
  • The AI platform employs advanced technologies like RAG (Retrieval-Augmented Generation) and Natural Language Processing (NLP) to offer tailored solutions based on user data.
  • Focusing on gut health post-cancer recovery, SANJEEVANI AI recommends dietary interventions and tracks microbiome data to optimize digestion and symptom management.
  • Challenges in developing the platform included handling sensitive health data, incorporating real-world patient experiences, and ensuring transparent explanations for AI recommendations.
  • Personalized healthcare and the integration of AI, microbiome research, and patient data are emphasized for improved survivorship care.
  • The journey highlighted the importance of human experience alongside AI, showcasing the power of self-built solutions and the significance of personalized medicine.
  • The creator of SANJEEVANI AI aims to support cancer survivors in enhancing their post-cancer life quality, emphasizing the need for community and tailored support.
  • In the pursuit of living well post-cancer, the individual welcomes connections with cancer survivors, AI researchers, and health-tech enthusiasts to collaborate on improving survivorship care.

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Analyticsindiamag

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India’s Tech Jobs See 20% Growth in 2025, AI Roles Surge 75

  • India's tech sector is set to witness a 20% growth in jobs this year, with a surge of 75% in demand for roles in AI, cybersecurity, and cloud computing.
  • Nearly 40% of the workforce will require upskilling to stay competitive, with the gig economy and remote work contributing to 10% of the projected growth.
  • DevOps professionals and AWS-related salaries are in high demand, while early-career professionals face salary pressure in certain domains.
  • Bengaluru remains the top tech hub in India, followed by Delhi-NCR and Hyderabad, but Tier-2 cities are emerging as tech hubs as well.

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Towards Data Science

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What Do Machine Learning Engineers Do?

  • A machine learning engineer is a role that varies between companies and geographies, but generally involves delivering machine learning solutions into production.
  • The role of a machine learning engineer emerged due to the need to bring machine learning models into production and generate business value.
  • Machine learning engineers require a broad skillset and typically have prior experience as data scientists or software engineers.
  • Their work involves improving machine learning models, collaborating with cross-functional teams, conducting workshops, and mentoring junior members.

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DECODE Returns: Can Machines Really Understand Us?

  • The next DECODE webinar, hosted by DBS Tech India and AIM Media House, will explore the topic of machines understanding human emotions.
  • The webinar will discuss the complex relationship between AI and human connection, and whether machines are truly capable of empathy.
  • Industry leaders Kiran Koduri and Anish Agarwal will lead the discussion, bringing their expertise in AI and automation.
  • The webinar is scheduled for April 15 and is aimed at professionals working in the field of AI, customer experience, and business strategy.

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AIM DECODE Returns: Can Machines Really Understand Us?

  • The next DECODE webinar, hosted by DBS Tech India in collaboration with AIM Media House, will explore the relationship between AI and human connection.
  • The discussion will focus on AI-driven customer support, personalised engagement strategies, and overseeing AI-driven empathy within organizations.
  • The webinar is essential for professionals working at the intersection of AI, customer experience, and business strategy.
  • DBS Tech India, a technology development center of excellence and innovation, aims to transform the future of banking through experimentation and growth.

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CloudSEK and Security Experts Raise Alarm for Data Breach, Oracle Denies It

  • Cybersecurity firm CloudSEK found a threat actor selling six million records allegedly extracted from Oracle Cloud.
  • Oracle denies the data breach, refuting the claims made by CloudSEK.
  • CloudSEK provides additional evidence to support their theory of the breach and plans to publish more details.
  • The breach potentially impacts over 1,500 unique organizations, leading to increased risk and urging Oracle to take action.

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Medium

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AI’s Hidden Water Problem: How Artificial Intelligence Consumes Water and What It Means for Our…

  • AI consumes water primarily through data centers and cooling systems, as well as semiconductor manufacturing.
  • Data centers use cooling systems that consume billions of gallons of water annually, with Google's data centers using 5 billion gallons of fresh water for cooling in 2022.
  • Semiconductor manufacturing, essential for AI chips, can use up to 10 million gallons of ultrapure water per day.
  • To make AI more water-efficient, companies can improve cooling technologies, transition to renewable energy, promote transparency and accountability, and innovate in semiconductor manufacturing.

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Towards Data Science

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Least Squares: Where Convenience Meets Optimality

  • The popularity of Least Squares stems from its simplicity and its alignment with key statistical principles.
  • The Least Squares approach is favored for its mathematical clarity, providing closed-form solutions for optimization.
  • However, its reliability diminishes when data deviates from theoretical assumptions, like outliers in the distribution.
  • Least Squares is especially useful in Linear Regression, offering optimal coefficients estimation through OLS.
  • The conventional mean and median in statistics are directly linked to L2 and L1 losses, respectively.
  • Under the Gauss-Markov theorem, the OLS estimator is acclaimed as the Best Linear Unbiased Estimator.
  • OLS minimizes variance and maintains unbiasedness, outperforming other linear estimators.
  • Least Squares is also equivalent to Maximum Likelihood Estimation in normal error scenarios.
  • However, the reliance on normal errors makes Least Squares less effective in the presence of outliers.
  • To address this limitation, robust loss functions like Huber or Tukey are recommended for outlier resilience.

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Medium

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Exploring the Evolution and Classifications of Artificial Intelligence

  • Artificial Intelligence (AI) is rapidly evolving, impacting various sectors with enhanced efficiency and capabilities.
  • Understanding the classifications of AI is crucial to grasp its current applications and future prospects.
  • AI types can be categorized based on capabilities and functionalities, displaying distinct characteristics and applications.
  • From Narrow AI to Artificial General Intelligence (AGI), AI is reshaping industries like healthcare, finance, and the creative arts.
  • AGI aims to replicate human intelligence across various tasks, enabling reasoning, problem-solving, and real-time decision making.
  • Super AI, a hypothetical advanced form, surpasses human capabilities, raising ethical and existential questions on control and humanity's future.
  • AI systems operate in various types, including Basic AI, Limited Memory AI, and Full Theory of Mind AI.
  • AI advancements span domains like emotion recognition, self-awareness, and understanding human behavior, posing ethical challenges.
  • AI applications include statistical techniques, natural language processing, visual data analysis, and robotics integration.
  • Industries such as healthcare, finance, creative arts, and legal frameworks are undergoing significant transformations with AI integration.

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Western Union Teams Up with HCLTech to Shift to AI-Led Platform Model

  • Western Union has partnered with HCLTech to enhance its financial services through an AI-driven platform operating model.
  • The collaboration designates HCLTech as Western Union’s largest preferred partner, focusing on digital transformation, platform innovation, and operational efficiency.
  • As part of the agreement, Western Union will use HCLTech’s AI-powered solutions, FENIX 2.0 and AI Force, to transition to a platform-centric model, enhancing agility and scalability.
  • The partnership also aims to accelerate Western Union’s platform and channel transformation by utilising HCLTech’s digital, cloud, and AI solutions to improve customer experiences and support data-driven decision-making.

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