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Data Analytics News
TechBullion
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93
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How AI is Transforming Data Analytics: A Guide for Tech Professionals
- AI has fundamentally changed data analytics, offering new capabilities in processing and interpreting large datasets.
- Machine learning algorithms in analytics can learn from data, adapt, and improve accuracy over time.
- AI-powered analytics have various applications in industries like finance and healthcare.
- Deep learning excels at processing unstructured data and identifying patterns that human analysts may miss.
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Medium
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169
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The White, Male Legacy: Unpacking TIME’s Person Of The Year
- TIME’s Person of the Year reflects power, influence, and impact.
- Men dominate the list with only 12 out of 103 women being recognized.
- The last decade has seen an increase in women being named title-winners.
- The project used AI platforms to gather and analyze data.
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Siliconangle
2M
183
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Why AI success starts with data readiness: Insights from Alteryx CEO Andy MacMillan
- The rise of artificial intelligence is driving a shift in organizations towards AI data readiness and integrated approach to data.
- Alteryx Inc., under CEO Andy MacMillan, plays a crucial role in preparing data for AI by helping business analysts become proficient in handling data.
- MacMillan discussed the evolving role of business analysts and challenges of AI data readiness in an interview with theCUBE's John Furrier.
- Alteryx focuses on building AI-ready data architectures by integrating multiple data sources to drive significant business impact.
- Business analysts are now expected to play a more direct role in implementing AI-driven workflows and enhancing decision-making.
- Alteryx is investing in connectivity, cloud data access, and solutions to improve AI data readiness, responding to customer needs and new AI use cases.
- The company's user community, with over 600,000 members, is a valuable resource for sharing solutions and best practices in AI data readiness.
- Alteryx aims to help users prepare for the increasing adoption of AI and partners with customers and users to navigate AI adoption effectively.
- AI is making skills more valuable, positioning Alteryx as a key partner for companies in AI adoption and data readiness.
- The article includes insights on Alteryx's strategy, investments, and community involvement in advancing AI data readiness.
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Cloudblog
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339
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How to reduce costs with Managed Service for Apache Kafka: CUDs, compression and more
- Google Cloud announces Managed Service for Apache Kafka committed use discounts (CUDs) to save up to 40% on compute costs.
- Managed Service for Apache Kafka reduces manual broker management costs with automatic features like rebalancing and sizing.
- Tips for cost optimization include using CUDs, optimizing inter-zone transfer costs, enabling compression, and fine-tuning batch sizes.
- CUDs offer savings up to 40% on vCPU and RAM costs by committing in advance for a year or more.
- Enable rack awareness and consumer rack IDs matching cloud zones to reduce inter-zone data transfer costs in Kafka clusters.
- Compression at producer and broker levels can save on networking and storage costs by reducing message sizes.
- Configuring batch sizes can save CPU/network bandwidth while maximizing throughput in Apache Kafka.
- Lower retention periods and storage sizes in test environments to save on data storage costs.
- Avoid message conversions by aligning Kafka clients and brokers on the same version for cost savings.
- To get started, purchase CUDs on the Google Cloud console and follow the outlined cost-saving best practices.
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Siliconangle
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768
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Marketing analytics startup Hightouch reels in $80M at $1.2B valuation
- Marketing software startup Hightouch has raised $80 million in a funding round at a $1.2 billion valuation.
- Sapphire Ventures led the Series C investment round, with participation from Bain Capital Ventures and Y Combinator, among others.
- Hightouch's customer data platform allows for easy analysis of marketing information, eliminating the need to move data to external infrastructure.
- The funding will be used to expand product adoption and hire professionals to support growth.
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Designveloper
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What is the IMPACT Cycle of Data Analytics? 6 Key Steps
- The IMPACT cycle of data analytics is a framework introduced by Jean-Paul Isson and Jesse Harriott to guide data users in turning raw data into actionable insights effectively.
- This cycle consists of six key steps, starting with identifying specific and measurable business questions to be answered.
- Data mastery involves collecting data from various sources, cleaning, and transforming it for analysis.
- Effective data cleaning ensures the accuracy and reliability of insights derived from the data.
- The cycle emphasizes the importance of providing meaning behind the data through analytical techniques and data visualizations.
- Actionable recommendations should be specific, measurable, and directly related to the insights gained from data analysis.
- Communication of insights involves utilizing various methods like interactive dashboards, presentations, and executive memos to convey findings to different stakeholders.
- Tracking outcomes is essential to measure the effectiveness of recommendations and identify areas for improvement.
- The IMPACT cycle helps in understanding data, improving communication, measuring outcomes, enhancing decision-making, and minimizing risks in data analytics.
- Challenges in adopting the cycle include time investment, difficulty in identifying questions, data quality issues, the need for skilled personnel, and measuring long-term impacts.
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Pymnts
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64
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Trump’s Tariff Plans Reframe Compliance’s Role in a Protectionist Era
- The Trump administration's proposed and enacted tariff policies have put corporate compliance and financial strategy in the spotlight.
- Tariffs introduce complex compliance requirements, particularly for businesses involved in international trade.
- CFOs and risk teams must closely monitor customs classifications, tariff codes, and exemptions to avoid fines and reputational risks.
- Using technology-driven compliance automation and predictive analytics can help companies manage and mitigate the risks associated with evolving trade regulations.
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Cloudblog
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431
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BigQuery ML is now compatible with open-source gen AI models
- BigQuery Machine Learning allows you to use large language models (LLMs) like Gemini for tasks such as entity extraction, sentiment analysis, and more using SQL syntax.
- Support for open-source LLMs from Vertex AI Model Garden, including models from Hugging Face, is now available, providing developers with a wider model selection.
- Integration example using the Meta Llama 3.3 70B model demonstrates the process, but any of over 170K text generation models from Hugging Face can be used following similar steps.
- Steps involve hosting the model on a Vertex endpoint and creating a remote model in BigQuery to allow inference.
- Performing inference involves extracting structured data from unstructured transcripts, as shown with a medical transcripts dataset example.
- Create a table in BigQuery to analyze the data, and use the Llama model for data extraction with SQL statements.
- Analytics can be performed on the results to gain insights, such as identifying common diseases in specific demographics.
- Utilize the output from the Llama endpoint for further analysis and querying, such as identifying common diseases in females above 30 years of age.
- Get started today with BigQuery ML and the Vertex Model Garden integration to leverage open models or tuned/distilled models for your analytics needs.
- Learn more about using BigQuery with different models in the official documentation.
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Medium
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266
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Web Scraping: Intercepting XHR Requests
- XMLHttpRequest (XHR) is a browser feature that allows web pages to fetch data asynchronously without reloading the page.
- To scrape XHR requests, tools like Puppeteer and Playwright can be used for interacting with web pages, executing JavaScript, and inspecting network traffic.
- Intercepting XHR requests for web scraping is an efficient way to collect structured data from dynamic websites.
- XHR scraping can be a powerful tool in your web scraping toolkit, but it is important to follow best practices and respect the websites being scraped.
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Medium
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331
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VLOOKUP and HLOOKUP Functions
- VLOOKUP is a function in Excel used to search for a specific value in a range of cells and return the corresponding value from another column.
- HLOOKUP is a function in Excel used to search for a specific value in the first row of a table and return the corresponding value from another row in the same column.
- VLOOKUP is used for data organized in columns, while HLOOKUP is used for data organized in rows.
- Mastering these functions can greatly enhance data analysis and save time and effort.
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HRKatha
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177
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Job opps for 3.5 lakh students in 9 months by Apna.co & AICTE
- Apna.Co, in collaboration with AICTE, facilitated job opportunities for 3.5 lakh students across 6,000 colleges in 9 months.
- AICTE Career Portal connected students with verified job opportunities from over 44,000 companies.
- Free career masterclasses guided students on resume building, interview preparation, and emerging technologies.
- The portal helped students develop industry-relevant skills and eliminated geographical barriers for equal opportunities.
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Medium
2M
129
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How to Analyze Data with Excel: A Step-by-Step Guide
- Step 1: Organize the Data
- Step 2: Sort the Data
- Step 3: Calculate Basic Statistics (Sum, Average, etc.)
- Step 4: Use a Pivot Table for Deeper Analysis
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Minis
2y
1.4k
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Student’s lazy copy-paste job from ChatGPT on Twelfth Night essay leaves netizens in splits
- ChatGPT can be used for cheating on essays by providing a few prompts, but a lazy copy-paste hack can be easily spotted by teachers.
- A Twitter user shared a picture of an essay submission on Twelfth Night that revealed it was written by an AI language model.
- The student forgot to edit out the part that gave away that the essay was copied, leading the teacher to ask the student to redo the assignment in their own words.
- Other commenters on the tweet shared similar experiences of students attempting to cheat by submitting copied work or passing off someone else's work as their own.
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Minis
2y
813
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Amid Adani-Hindenburg row, Anand Mahindra blasts 'Global Media' for 'betting against India'
- Anand Mahindra, chairman of the Mahindra Group, shares his views on the media debate surrounding the business sector in India.
- The statement comes in response to a recent report on the Adani Group and its declining market value.
- In a tweet, Anand Mahindra warns the global media not to bet against India, citing the country's ability to overcome past challenges such as natural disasters, economic downturns, and conflicts.
- He expresses confidence in India's ambition to become a global economic force, despite current challenges in the business sector.
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