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Analyticsindiamag

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Agentic AI is Now On Mid-Sized Indian IT’s Mind

  • LTIMindtree has committed $6 million to Voicing AI for human like voice capability and formed alliance with GitHub to train its workforce on GitHub ecosystem.
  • Mphasis has launched NeoCrux, a tool for improving developer productivity and acquired Silverline to meet evolving client needs.
  • Persistent Systems acquired Pune-based data privacy consultancy Arrka to address AI-related privacy challenges.
  • IT giants like TCS, Infosys, and Wipro have decided to develop a different strategy for building AI agents for their customers.
  • Nachiket Deshpande, COO at LTIMindtree, said Indian IT firms often do not want to build these capabilities in-house.
  • Mohandas Pai, the founder of Aarin Capital, said that IT services companies are not built to invest disproportionate capital R&D.
  • The idea of productivity outlook is persona-centric and agentic systems, which automate large parts of personas, are the way to adopt that productivity.
  • Earlier this year, small IT firms were taking the acquisition route for building AI capabilities. Now, the conversation has shifted to agentic AI.

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Medium

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Data or Die: Why Product Managers Must Become the Data Scientists of 2025

  • The data scientist's approach to product management is becoming essential for success in the business world.
  • Companies that utilize data-driven product strategies have higher chances of acquiring and retaining customers and being profitable.
  • In 2025, product managers will focus on precise decision-making through predictive analytics.
  • The future of product management relies on data science, including personalized user personas, advanced testing methods, and understanding and preventing user churn.

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Analyticsindiamag

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Anthropic’s Model Context Protocol Plugs AI in the Matrix

  • Anthropic has open-sourced its Model Context Protocol (MCP) as its standard for connecting AI assistants to external data sources and repositories.
  • Anthropic's MCP has an array of servers that utilise APIs from popular apps including Spotify, Google Maps, Todolist and Brave.
  • Exa AI was able to integrate their tool into Claude using MCP and also made the code available on GitHub.
  • MCP invitees built innovative use cases during the hackathon based on MCP, one noteworthy example being an LLM video editor.
  • Anthropic's MCP works at the protocol layer, which is the highest level in an LLM, while techniques like RAG or GraphRAG work at a model level.
  • MCP's high level of abstraction can cause confusion and some users may not be clear on what exactly happens between the client and the server.
  • MCP will require critical security upgrades going forward with identified vulnerabilities such as bypassing read-only restrictions and executing code.
  • The potential capabilities of marrying MCP with Claude's other capabilities included building MCP servers for legacy software, using Computer Use to automate it.
  • Developers were able to build on top of the MCP open-source framework that was recently introduced, connecting AI assistants to external repositories.
  • Younger startups may gain visibility if their apps can be accessed inside Claude through MCP integration.

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Educba

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Virtual Office for Hong Kong Company Formation

  • A virtual office for Hong Kong company formation offers numerous benefits, including a professional presence, enhanced communication, and reduced costs.
  • Key advantages of virtual offices for Hong Kong company formation include local Hong Kong phone numbers, expert call handling, flexible operations, and seamless integration with technology.
  • Having a virtual office provides a competitive advantage through a polished brand image, increased customer engagement, enhanced efficiency, cost savings, and global reach.
  • When choosing a virtual office partner, it is important to read customer reviews, evaluate available features, and check customer support.

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Medium

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AI and Predictive Analytics. The Next Chapter in Digital Marketing

  • Predictive analytics powered by AI helps marketers predict customer behavior, identify future trends, and craft personalized campaigns.
  • AI tools analyze vast datasets, recognize patterns, and provide actionable insights in real-time.
  • Immensity IT leverages AI to empower small and medium-sized businesses with tools to forecast consumer demand, automate targeted marketing campaigns, and optimize budgets.
  • Using predictive AI gives businesses a competitive edge and the ability to meet and exceed customer expectations.

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Medium

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Unleashing the Future of AI with Retrieval-Augmented Generation

  • Retrieval-Augmented Generation (RAG) is a groundbreaking technique in AI that combines AI's vast knowledge with focused retrieval from databases to provide precise and context-rich answers.
  • RAG enables gathering content without the need for tab-toggling, making it a valuable tool for writing and complex research questions.
  • It fetches relevant data on the fly and offers a depth of understanding, weaving through dense texts to find valuable information quickly.
  • RAG is reshaping natural language processing and revolutionizing how AI can provide tailored responses.

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Medium

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Unveiling the Future of AI

  • Unsupervised learning, for all its wonders, was once bound by the limitations of labeled datasets.
  • Zero-shot learning has emerged as a beacon in the vibrant world of AI.
  • This revolutionary method allows AI to predict or identify new categories without explicit prior examples.
  • Machines can now guess the identity of an unseen object, similar to a seasoned detective deducing a mystery's conclusion.

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Medium

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How can one purchase a large amount of cryptocurrency quickly and without high fees?

  • OTC trading provides a discreet, direct channel between buyers and sellers.
  • It offers enhanced privacy, deeper liquidity, and personalized terms.
  • OTC trading is favored by high-volume traders and institutions.
  • It enables large cryptocurrency transactions without causing market disruption.

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Medium

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Machine Learning Series

  • Machine Learning is a branch of artificial intelligence that allows computers to learn from data and make predictions or decisions without being explicitly programmed.
  • Real-life examples of machine learning include Netflix recommendations, spam email detection, self-driving cars, face unlock on smartphones, and predicting house prices.
  • There are two major types of machine learning: supervised learning (learning from labeled data) and unsupervised learning (learning patterns from unlabeled data).
  • Machine learning is important as it helps solve complex problems, improve efficiency, personalize experiences, and solve critical problems.

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Medium

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Dynamic Programming — Longest Increasing Subsequence

  • We are given an array of numbers.
  • Our goal is to find the length of the longest increasing subsequence.
  • The recurring theme to solve this is using dynamic programming.
  • The time complexity of the solution is O(n²).

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Medium

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Dynamic Programming — An introduction

  • Dynamic programming (DP) is an algorithmic technique that involves breaking down a complex problem into smaller sub-problems and finding optimal solutions.
  • The foundation of DP is trust, where sub-problems trust the solutions of the smaller sub-problems that make up the larger problem.
  • An example of DP is constructing a large perfect square by joining smaller squares, relying on the optimality of the smaller squares.
  • In the Fibonacci sequence, each number relies on the optimal solutions of the two previous numbers.

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VentureBeat

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MidJourney adds Pinterest-like ‘moodboards’ and support for multiple custom AI image models

  • MidJourney, the popular AI image generator, has introduced new features to enhance user customization.
  • The updates include Pinterest-inspired 'Moodboards' and support for multiple personalization profiles.
  • Moodboards allow users to upload curated collections of images for generating new art.
  • The updates also streamline the process of creating custom models and introduce organizational improvements.

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VentureBeat

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Slack’s AI agents promise to reshape productivity with contextual power

  • Slack will integrate Salesforce's Agentforce AI agents into its workplace collaboration platform, focusing on contextual intelligence.
  • The integration aims to enhance AI agents' effectiveness by leveraging the conversational and organizational data in Slack channels.
  • Slack's implementation stands out due to its position as a searchable log of all communication and knowledge, making it the central nervous system of modern enterprises.
  • The platform will offer customizable AI agents that can perform various tasks, while emphasizing user trust and data governance.

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Analyticsindiamag

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ChatGPT Search Now Free for All Users 

  • OpenAI has made the ChatGPT search feature free for all users.
  • The feature provides web search capabilities, including timely and accurate answers, visual images, and data for business listings.
  • OpenAI has partnered with leading media publishers to provide high-quality information through ChatGPT.
  • The ninth day of '12 days of OpenAI' will feature a mini-dev day-like event for developers.

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Medium

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Smart Drive Health Monitoring for Enterprise Data Integrity

  • DA SmartQuest, powered by ULINK DA Drive Analyzer for Windows PCs, enables IT departments to proactively manage drive health and enhance operational efficiency.
  • IT departments can transition from reactive troubleshooting to proactive management of the health of Windows PCs with the integration of DA SmartQuest into their workflows.
  • DA SmartQuest offers a powerful solution for proactive drive health checking, ensuring uninterrupted access to essential data and systems.
  • DA Drive Analyzer is now available for ASUSTOR NAS users, and QNAP launches the AI-powered DA Drive Analyzer 2.0, which predicts NAS drive failure within 24 hours and enhances enterprise privacy.

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