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Artificial Intelligence (AI) lets machines and computers do tasks that usually need human intelligence, like learning, solving problems, making decisions, understanding language, and automating processes.

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  • 2026-10-09 13:10:08
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    2026-10-09 13:10:08 - Pubblico
    How Business Schools Build Data Pipelines to Track Student Learning Outcomes
      Business schools collect student data such as grades, attendance, internships, and alumni outcomes to evaluate academic performance and program effectiveness. Learning analytics helps institutions identify skill gaps, measure learning outcomes, and make informed curriculum improvements. A B School in Chennai at FITA Academy can use these insights to strengthen teaching methods, track...
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  • 2026-10-06 13:01:30
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    2026-10-06 13:01:30 - Pubblico
    How Search Intent Mapping Improves SEO Content Planning
    Most content calendars begin with a keyword list and a search volume column. That approach produces a lot of pages and surprisingly little traffic that matters. The missing piece is intent. Two keywords with similar volume can call for completely different pages, and publishing the wrong format for a query is one of the most common reasons well-written content fails to rank. A Digital...
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  • 2026-10-03 12:21:32
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    2026-10-03 12:21:32 - Pubblico
    How Business Schools Use Machine Learning to Forecast MBA Placement Outcomes
    Machine learning is increasingly being explored for analysing MBA placement outcomes using factors such as academic performance, internships, skills, extracurricular activities, and previous placement data. Research on Indian management graduates has also examined predictive analytics to understand employability and salary outcomes. A B School in Chennai at FITA Academy can help learners...
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  • 2026-10-01 11:04:00
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    2026-10-01 11:04:00 - Pubblico
    How Mutation Testing Reveals the Gaps That Code Coverage Misses
    Most engineering teams track code coverage, but a high percentage does not always mean strong tests. Coverage only shows which lines executed, not whether tests can detect incorrect behavior. Software Testing Course in Chennai at FITA Academy can help learners understand test effectiveness through techniques such as mutation testing, boundary testing, assertions, and negative test cases,...
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  • 2026-09-30 12:08:08
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    2026-09-30 12:08:08 - Pubblico
    Building a Test Pyramid That Scales With a Growing Engineering Team
    When a team has five engineers, almost any testing strategy works. The suite is small, everyone knows which tests are fragile, and a full run finishes before the coffee gets cold. At fifty engineers, the same approach quietly collapses. Builds take forty minutes, failures appear at random, and developers start merging with a shrug and a rerun. The test pyramid is still the most useful mental...
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  • 2026-09-29 12:40:15
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    2026-09-29 12:40:15 - Pubblico
    Why Minimal APIs in .NET Scale Better Than Traditional Controllers
    For years, building a web API in .NET meant reaching for controllers. You created a class, inherited from a base type, decorated methods with attributes, and let the framework wire everything together through conventions. It worked well and still does. But as systems grow, the costs of that model become harder to ignore. Minimal APIs, introduced in .NET 6 and refined in every release since,...
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  • 2026-09-28 12:44:51
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    2026-09-28 12:44:51 - Pubblico
    How Business Schools Use Data Analytics to Predict Admissions Outcomes
    Every admissions cycle, a business school faces the same puzzle. Thousands of applicants submit test scores, transcripts, essays, and work histories, and the committee must decide who receives an offer, who is likely to accept it, and who will thrive once enrolled. For decades, this was a judgment call shaped by experience. Today, data analytics is turning parts of that judgment into...
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  • 2026-09-26 12:14:36
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    2026-09-26 12:14:36 - Pubblico
    Why Data Quality Checks Belong Upstream of the Warehouse
    Most analytics teams discover data problems at the worst possible time, after a dashboard has already shown a stakeholder the wrong number. The postmortem usually follows a familiar arc. Someone notices revenue looks off. An analyst digs through a dbt model. Eventually, the trail leads back to a source table where a field silently changed type, or a batch job dropped a chunk of rows three days...
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  • 2026-09-25 12:50:36
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    2026-09-25 12:50:36 - Pubblico
    What Business Schools Get Right About Systems Thinking
    Engineers are trained to break problems into components. Business schools train something different: seeing how components interact. That difference matters more than most technical teams realize, and it's one of the few things a Business School in Chennai at FITA Academy curriculum can help learners understand through business strategy, decision-making, and cross-functional...
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  • 2026-09-24 12:39:08
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    2026-09-24 12:39:08 - Pubblico
    Designing Test Suites for Fast Feedback and Fewer False Positives
    Every engineering team eventually runs into the same wall. The test suite that once ran in a couple of minutes now takes twenty. Developers stop running tests locally because the feedback loop is too slow. Worse, some of those tests fail intermittently for reasons that have nothing to do with the code being wrong, and engineers learn to distrust red builds. Once a team stops trusting its tests,...
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