The hottest Analytics Substack posts right now

And their main takeaways
Category
Top Technology Topics

Calendly alternatives are not as good

Kartick’s Blog • 0 implied HN points • 26 Apr 23
🕹 Technology Analytics
  1. Multiple Calendly alternatives were investigated but didn't meet the needed requirements
  2. Requirements included pre-filling fields, Google Analytics integration, and Microsoft 365 compatibility
  3. Shortlisted alternatives like Microsoft Bookings and Zcal lacked key features like paid events and support for Teams

New Badges LIVE on App.Axie

The Lunacian • 0 implied HN points • 01 Feb 24
🕹 Technology Analytics
  1. Eight new badges introduced on App.Axie for achievements like part evolution and ascension.
  2. New activity and analytics tabs added to App.Axie for tracking floor price, owner distribution, and more.
  3. Ronin team updating address prefixes from ronin: to 0x for better Ethereum alignment.

#OpenSourceDiscovery 72: RudderStack

#OpenSourceDiscovery • 0 implied HN points • 26 Feb 23
🕹 Technology Analytics
  1. RudderStack is a tool that combines customer activities from websites and apps into a central customer database.
  2. RudderStack offers a Transformations feature allowing customization of events info, improving flexibility.
  3. Privacy and security are key features of RudderStack, providing control over data sent to analytical tools.

Don’t be a ducker

Three Data Point Thursday • 0 implied HN points • 08 Jun 23
🕹 Technology Analytics
  1. Big data vs. small data debate isn't the main focus in data orchestration.
  2. Data orchestration companies are raising significant amounts of funding.
  3. New orchestrator, Orchestra, aims to combine observability and data assets without code.
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Dark Data; Thoughtful Friday #27

Three Data Point Thursday • 0 implied HN points • 17 Mar 23
🕹 Technology Analytics
  1. Dark data is information collected but not utilized, similar to dark matter in the universe.
  2. There are 6 categories of data, including what is used, not used but should be, and should be collected but isn't.
  3. Having unique data, especially dark data, can provide a competitive advantage and is valuable for a company.

INFORMS Article on Decision Scientist

Mike Talks AI • 0 implied HN points • 13 Dec 23
🕹 Technology Analytics
  1. Data Scientist term evolved during analytics movement, comprising diverse skills.
  2. Emergence of 'Decision Scientist' role to specialize in turning data into decisions.
  3. Advocacy for the INFORMS community to fully embrace the job title of Decision Scientist.

CTO/co-founder 🕵️‍♀️

Embraceme.app • 0 implied HN points • 17 Nov 23
🕹 Technology Analytics
  1. Building a grief guide app to help people process loss and provide support.
  2. Offering bite-sized daily missions and AI chatbot support for personalized assistance.
  3. Seeking pre-seed investment for Embraceme AI app development and looking for CTO with iOS skills.

Changelog

trydeepwork • 0 implied HN points • 07 May 23
🕹 Technology Analytics
  1. Users can now move tasks between power goals and delete them
  2. Significant UI improvements to tasks and badges for completed challenges
  3. Improved integration with Firebase Analytics for better tracking

All the things websites make you think about

Mehdeeka • 0 implied HN points • 27 Mar 23
🕹 Technology Analytics
  1. Consider how much of the website you need to manage on your own to choose the right tech stack.
  2. Get input from various teams and plan for future functionalities and integrations in your website.
  3. Prioritize security and tracking measures like GDPR and analytics tools when building your website.

Chekhov’s Gun - Squadron Weekly Email

Squirrel Squadron Substack • 0 implied HN points • 10 Dec 23
💼 Business Analytics
  1. In business, always focus on demonstrating the "business value" of your tech initiatives.
  2. Encourage your team to measure and be accountable for the business results of their work, not just activity metrics.
  3. Consider failures in achieving targets as successful experiments that provide valuable learnings.

Must Learn KQL Part 5: Turn Search into Workflow

Rod’s Blog • 0 implied HN points • 31 May 23
🕹 Technology Analytics
  1. Query structure with KQL can help identify and investigate specific data efficiently.
  2. Using the search operator in KQL can be a powerful tool to find relevant information but filtering results is essential to minimize effort.
  3. Learning KQL basics like the where operator and project operator can aid in creating precise queries for analytics rules in tools like Microsoft Sentinel.

Product Management Skills - Analytics and Instrumentation

Joseph Gefroh • 0 implied HN points • 17 Feb 24
💼 Business Analytics
  1. Product analytics and instrumentation are crucial for Product Managers to make effective decisions and understand user behavior.
  2. Product Managers should have a strong grasp of product analytics, identifying what to instrument, and performing basic analysis themselves.
  3. Knowing who is using the product, what actions they are taking, and the context of their actions is essential for effective product analysis.

Many Faces of Real-time Analytics

Tributary Data • 0 implied HN points • 02 Oct 23
🕹 Technology Analytics
  1. Real-time analytics systems can be classified into four groups based on five dimensions
  2. Not all real-time analytics systems are created equal in design
  3. Exploring the various faces of real-time analytics is crucial for understanding their differences

Decentralize Your Data Journey: Introducing Web3 for Analytics Engineers Newsletter!

Web3 for Analytics Engineers • 0 implied HN points • 06 Jun 24
🕹 Technology Analytics
  1. Web3 is transforming the world of data analytics, offering transparency, security, and immutability.
  2. The newsletter "Web3 for Analytics Engineers" provides exclusive tutorials, resource round-ups, best practices, and more to stay ahead in Web3 analytics.
  3. Topics covered include blockchain data analysis, decentralized finance, analytics tools like The Graph, and career growth strategies in Web3.

Baseball and Carbon Accounting, Part 1

Solar Powered Data • 0 implied HN points • 21 Aug 23
🎾 Sports Analytics
  1. Measuring carbon emissions is challenging and involves various frameworks like the GreenHouse Gas Protocol and Science-Based Targets.
  2. Just like baseball teams aim to score more runs by balancing offense and defense, individuals in carbon accounting also strive to reduce emissions while enhancing carbon removal.
  3. In both baseball and carbon accounting, accurately attributing individual contributions is complex, and there is a need for improved methods to credit and analyze performance.

Ho We Use Language About Technology

The Digital Anthropologist • 0 implied HN points • 20 Sep 23
🕹 Technology Analytics
  1. Language is a crucial human technology that has enabled collaboration, storytelling, and sharing different realities.
  2. Our language is evolving to describe technologies in a more human-like manner, impacting how we interact with and perceive technology.
  3. The way we use language to shape our relationship with technology is undergoing a significant shift, influencing our self-perception in relation to technology.

The Math Behind Running AI Models on Krutrim AI Cloud

Sector 6 | The Newsletter of AIM • 0 implied HN points • 05 Jun 24
🕹 Technology Analytics
  1. Ola is saving a lot of money by using Krutrim AI Cloud instead of larger cloud services like Microsoft Azure and AWS. This change helps them cut costs by about 15 crore INR each year.
  2. Cloud costs can be extremely high, as noted by the daily expense of 5 lakh INR that Ola was previously paying. Reducing these costs is important for businesses.
  3. The founder of Qure AI highlighted the issues with cloud spending, suggesting that it's a smart move for companies to look for more affordable options like Krutrim AI Cloud.

Benchmarking, the Indian Way

Sector 6 | The Newsletter of AIM • 0 implied HN points • 29 Sep 23
🕹 Technology Analytics
  1. Benchmarks are essential for testing the intelligence of large language models (LLMs), like GPT-4 and Llama 2. They help measure how well these models perform on various human-level tasks.
  2. Common benchmarks come from the US and cover a range of subjects, including math and history. For example, MMLU includes 57 tasks that test different knowledge areas.
  3. To create effective benchmarks, they often mimic real-world exams like the SAT or law school tests. This ensures the LLMs are evaluated in ways similar to how humans are tested.

If YouTube was a Chatbot

Sector 6 | The Newsletter of AIM • 0 implied HN points • 26 Sep 23
🕹 Technology Analytics
  1. YouTube is a great place for learning, offering a wide variety of content like DIY tutorials and recipes. People often prefer it over traditional text-based sources for quick and engaging explanations.
  2. OpenAI's latest chatbot, ChatGPT, has limitations such as outdated information until January 2022. This shows how YouTube can complement AI by providing updated and practical knowledge.
  3. Many people, including tech leaders, use platforms like YouTube for their learning needs, highlighting its importance in education and skill development.

The Subtle Art of Technology Enablement

Sector 6 | The Newsletter of AIM • 0 implied HN points • 01 May 23
🕹 Technology Analytics
  1. AI technologies have great potential for business innovation, but they need support from technology enablers like SAP and Microsoft to succeed.
  2. Many businesses, especially in India, focus mainly on getting results like faster processes and better monitoring rather than just the technology itself.
  3. Companies are looking for tech enablers that can provide specific knowledge to help them with their particular needs and challenges.

AI yesterday, today, and tomorrow

Sector 6 | The Newsletter of AIM • 0 implied HN points • 27 Dec 22
🕹 Technology Analytics
  1. AI is changing fast, and businesses need to adapt quickly to keep up. It's important for companies to build their digital futures on strong AI technology.
  2. The need for skilled AI professionals is growing, with many job opportunities in the field. Understanding AI tools and techniques can help people get ahead in their careers.
  3. Reports like 'The State of AI in India 2022' provide valuable insights into AI trends and developments. Staying informed can help individuals and businesses navigate the evolving AI landscape.

AGI vs human-level AI, Analytics IPOs & Russia's AI-powered artillery 🔫🎖

Sector 6 | The Newsletter of AIM • 0 implied HN points • 30 Jan 22
🕹 Technology Analytics
  1. AGI, or Artificial General Intelligence, is different from human-level AI. AGI aims to understand and learn any task just like a human, while human-level AI is designed for specific tasks.
  2. Data engineering is becoming increasingly important for organizations to improve their data workflows. Efficient data handling can help businesses make better decisions.
  3. Russia is using AI in its military applications, such as artillery. This shows how AI technology is being integrated into various sectors, including defense.

The AutoML Race, Starlink India & US Chief Data Scientist 🏇🌠🔭

Sector 6 | The Newsletter of AIM • 0 implied HN points • 10 Oct 21
🕹 Technology Analytics
  1. An AutoML race is happening, which involves competition in creating automated machine learning tools. This could make data science easier for everyone.
  2. Starlink is expanding its services in India, offering satellite internet. This can improve internet access in remote areas of the country.
  3. The US has appointed a Chief Data Scientist to lead data-related initiatives. This role will help shape data policies and improve the use of data across various sectors.

Data Engineer Salaries, QSim & Databricks 🗿📡🔮

Sector 6 | The Newsletter of AIM • 0 implied HN points • 05 Sep 21
🕹 Technology Analytics
  1. Data engineer salaries are important to know if you're looking to enter this field. They can vary widely based on experience and location.
  2. QSim is a tool that helps manage and analyze data efficiently. It's helpful in making data-driven decisions.
  3. Databricks is a popular platform for data engineering that makes collaboration easier. It helps teams work together on large datasets.

About Cloudera, eClerx & BERT in this week's Belamy

Sector 6 | The Newsletter of AIM • 0 implied HN points • 25 Jul 21
🕹 Technology Analytics
  1. Cloudera is working on some interesting projects in data analytics. They focus on improving processes and making data more accessible.
  2. eClerx is involved in services that support data and analytics needs for businesses. Their role is to help companies make better decisions with their data.
  3. BERT is a powerful AI model that helps improve understanding of language in technology. It’s used to enhance communication and interpretation in various applications.

Responsible AI in India, GCP vs AWS & Azure and more...

Sector 6 | The Newsletter of AIM • 0 implied HN points • 06 Jun 21
🕹 Technology Analytics
  1. Responsible AI is important in India, focusing on ethical use and fairness in technology.
  2. Google Cloud Platform (GCP), Amazon Web Services (AWS), and Azure all offer unique features for AI development, so choosing the right one can depend on specific needs.
  3. There are events and workshops available for those looking to improve their data science skills and learn more about AI tools.

Jugaad For Jab, SUPACE, MUM & more...

Sector 6 | The Newsletter of AIM • 0 implied HN points • 30 May 21
🕹 Technology Analytics
  1. Jugaad means finding clever solutions to problems. It's all about using creativity and resourcefulness.
  2. SUPACE stands for 'Single-Window Unified Platform for Academic Collaboration and Engagement'. It aims to streamline processes in education and research.
  3. The Analytics100 Awards recognize leaders in analytics. It's a way to honor those who make a real impact using data.

Google I/O, Analytics industry in India & Women In Tech

Sector 6 | The Newsletter of AIM • 0 implied HN points • 23 May 21
🕹 Technology Analytics
  1. There is a free workshop on June 17, 2021, about the oneAPI AI Analytics Toolkit, in partnership with Intel.
  2. oneAPI helps developers run machine learning models efficiently on different hardware without needing to rewrite code.
  3. The analytics industry in India is growing, and there is a focus on supporting women in tech within this evolving field.

India's Data Labelling Services, Chinese GPT3 & more in this week's Belamy

Sector 6 | The Newsletter of AIM • 0 implied HN points • 09 May 21
🕹 Technology Analytics
  1. India is conducting a survey to assess the state of Responsible AI in the country, aiming to understand industry efforts and identify areas needing improvement.
  2. The Analytics100 awards for 2021 are now open for nominations, recognizing excellence in analytics and data science.
  3. Participation in the survey is encouraged, as it will help shape the future of AI practices in India.

The Belamy | Salary Study, Synthetic Data & Explainability

Sector 6 | The Newsletter of AIM • 0 implied HN points • 04 Apr 21
🕹 Technology Analytics
  1. In 2021, the average salary for analytics professionals in India was INR 13.4 Lakhs. This was a decrease from the 2020 average of INR 14.4 Lakhs.
  2. The study highlights ongoing challenges in the data science job market, including the impact of economic conditions on salaries.
  3. This research emphasizes the importance of understanding salary trends for career planning in the analytics field.

How to use Google’s CausalImpact

Logos • 0 implied HN points • 23 Dec 21
🕹 Technology Analytics
  1. Google's CausalImpact helps you see how actions, like a marketing campaign, affect outcomes like sales. It predicts what would have happened without that action, making it easier to understand its impact.
  2. Using CausalImpact requires some basic coding in R, but even beginners can follow along. You'll collect data in a simple format, run the analysis, and see results visually and in tables.
  3. When using CausalImpact, it's crucial to choose the right control variables. They should correlate with your main outcomes but not be influenced by the actions you're analyzing.

DLD #1 | Data Landscape Digest 🗞️

Practical Data Engineering Substack • 0 implied HN points • 25 Aug 24
🕹 Technology Analytics
  1. Data engineering is evolving rapidly, and staying updated on new tools and technologies is important for success in the field.
  2. Mastering the fundamentals, like SQL and Python, is crucial as they form the foundation for using advanced tools effectively.
  3. Open source solutions, like Apache Hudi and XTable, are gaining popularity and can provide great benefits for managing data efficiently.