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Cloudblog
5h
44
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Unlock AI with IT and OT data powered by Manufacturing Data Engine with Cortex Framework
- Breaking down data silos between IT and OT data is crucial for leveraging AI in manufacturing, as highlighted in Google Cloud's latest release of Manufacturing Data Engine (MDE) at Hannover Messe.
- Enhancements to MDE in 2024 focused on integrating OT and IT data, along with Cortex Framework, expanding its application across various data sources beyond ERP and CRM.
- The new MDE release introduces features like Development Mode, historical metadata linking, and Configuration Packages to drive faster AI outcomes by grounding IT and OT data.
- Development Mode allows flexibility in deleting configuration objects, facilitating experimentation with new data models for faster innovation cycles.
- Historical metadata linking enables accurate representation of historical data by inserting it correctly into the timeline, aiding in analyzing trends and optimizing operations.
- Configuration Packages streamline merging factory floor data with enterprise systems, bridging the IT and OT gap for transformative use-cases within Cortex Framework.
- The integration of multimodal data from machines with Cortex Framework provides a holistic view of operations, unlocking new Gen AI use cases and enhancing manufacturing intelligence.
- The partnership with Deloitte offers packaged services to facilitate customer success in leveraging MDE capabilities, while Google Cloud reaffirms its commitment to continuous innovation in empowering manufacturers.
- Manufacturers can witness the latest MDE release in action at Hannover Messe and Google Cloud Next '25, with live demonstrations showcasing how MDE drives industrial transformation.
- Google Cloud's efforts aim to empower manufacturers in thriving in the digital era, inviting them to experience MDE features at industry events to explore advancements in data and AI platforms.
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Cloudblog
1d
109
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Accelerate analytics with AI-assisted data preparation in BigQuery, now GA
- Gartner reports that a significant amount of time is spent on data preparation for analytics-based tasks.
- BigQuery data preparation, assisted by Gemini, facilitates data wrangling by suggesting cleaning and transformation methods.
- This integration helps automate data pipelines and enables various users to efficiently prepare data for analysis.
- BigQuery data preparation is now generally available and can be integrated with BigQuery pipelines for end-to-end pipeline creation.
- Gemini offers comprehensive transformation capabilities and assists in data standardization and schema mapping.
- Visual data pipelines and error table support enhance data quality enforcement and ease of deployment.
- BigQuery pipelines allow the connection of data processing tasks, including data preparation, in defined sequences.
- Data preparation generates SQL code for easier review, integration, and collaboration in CI/CD processes.
- Customer testimonials from GAF, mCloud Technologies, and Public Value Technologies highlight the benefits of BigQuery data preparation.
- BigQuery data preparation streamlines data management, improves productivity, and empowers users with its AI capabilities.
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Medium
1d
132
Image Credit: Medium
Simplify Your Power BI Reports: How to Use Field Parameters to Save Space
- Field Parameters in Power BI can help simplify reports and save space.
- Field Parameters allow for dynamic swapping between dimensions or measures in visualizations.
- Using Field Parameters can reduce the number of visuals and create a cleaner, more intuitive report.
- An example scenario involves an overcrowded Power BI report on student data. Field Parameters can be used to transform the report and uncover patterns.
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Siliconangle
1d
26
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Sourcetable gets $4.3M in funding to help everyone become a spreadsheet power user
- Sourcetable Inc. has launched an AI-powered spreadsheet to democratize data analysis for office workers.
- The startup secured $4.3 million in funding led by Bee Partners and other investors.
- Sourcetable aims to bridge the gap between 'power users' and average spreadsheet users with its AI capabilities.
- Users can interact with the spreadsheet using natural language or voice commands.
- The product is described as the first 'self-driving' spreadsheet with autopilot features.
- Sourcetable can perform tasks like creating financial models, charts, pivot tables, data cleaning, and more with simple commands.
- It can interpret data context, work with messy data, and ask for clarification if instructions are unclear.
- Sourcetable targets the vast majority of spreadsheet users who lack advanced skills in data analysis.
- The company emphasizes AI automation to make data analysis accessible to all users.
- Sourcetable ensures accuracy through real-time evaluation loops and offers access to various LLM models for users.
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Medium
2d
213
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11 Skills Employers Are Looking for in AI (and 4 They Aren’t)
- Companies are prioritizing 11 essential skills for AI and data science roles.
- These skills include strong SQL abilities, practical knowledge of machine learning and data cleaning, experience with deploying models in the cloud, effective data visualization, communication skills to present findings, problem-solving abilities, understanding of responsible AI use, staying up-to-date with the field, showcasing real-world projects and practical experience, focusing on applying models rather than deriving them from scratch, and fluency in relevant programming languages.
- Employers are less concerned about linear algebra proofs and calculus-based derivations, a long list of programming languages on a resume, and formal degrees.
- The market is seeking individuals who can deliver value, solve real problems, and communicate effectively.
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UX Design
8h
31
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How GenAIs build diverging color schemes
- GenAIs build diverging color schemes for Pantone Mocha Mousse.
- Diverging color schemes are used in data visualization to represent data with a critical midpoint value and two ends of importance.
- GenAI systems like Gemini and Copilot create customized diverging color schemes based on the Pantone 2025 Color of the Year, Mocha Mousse.
- Pantone's Color of the Year concept is applied in their Pantone Matching System (PMS) and Pantone Fashion, Home + Interiors (FHI) System.
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Medium
8h
302
Image Credit: Medium
EVE-olution : The AI-Powered Urban Observatory [part-3]
- The EVE building and street sensor network have various applications and benefits.
- The head of the network utilizes telescope-cameras, weather monitoring cameras, sound detection microphones, and air quality analysis e-noses to provide real-time data for scientific research and public education. The data is accessible on the building floors and through the app.
- The 10 floors of the EVE building are dedicated to specific scientific disciplines, featuring labs, VR simulations, and interactive exhibits. This setup serves as educational spaces to engage visitors in hands-on learning and immersive experiences.
- The street sensors monitor environmental conditions such as air quality, weather, and noise, providing real-time alerts to the EVE building and city authorities. This enhances city-wide environmental awareness and enables swift responses to potential hazards.
- The development of a user-friendly app and interactive kiosks allows easy access to sensor data and educational content with a friendly, EVE-inspired tone. This promotes environmental awareness and scientific literacy among the public.
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18 Likes
Medium
10h
224
Image Credit: Medium
SQL for Fraud Detection: Spotting Suspicious Patterns Like a Pro! ️♂️
- This query will return any transactions that exceed $10,000.
- This query will help you find users who made more than 5 transactions in a single day.
- This query helps identify transactions made in locations the user hasn’t visited in the last 30 days.
- This query helps identify cases where different users made the same transaction amount within 1 day of each other.
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13 Likes
Medium
12h
136
Image Credit: Medium
Sunflowers: A Symbol of Beauty and Utility.
- Sunflower originated in North America and was domesticated by Native American tribes around 4,500 years ago.
- Sunflower quickly gained popularity in Europe after being introduced by Spanish explorers in the 1500s.
- It was widely grown in Russia in the 18th century, particularly for its oil.
- Today, sunflower is cultivated worldwide, with major producers including Russia, Ukraine, China, and the United States.
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8 Likes
HRM Asia
18h
99
HR Tech Asia 2025: Transforming C-Suite leadership for tomorrow’s workforce
- HR Tech Asia 2025 is organizing the C-Suite Leadership conference track to equip senior executives with the tools they need to succeed.
- The conference track will address leadership challenges and provide strategies for organizational excellence and value creation.
- The lineup includes sessions on empathy in leadership, people analytics, performance management, and employee purpose.
- The event aims to redefine the HR landscape and offers senior executives the opportunity to learn and network.
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6 Likes
Medium
1d
342
Image Credit: Medium
Why Mathematics Should Be Compulsory for Kenyan Filmmakers.
- Kenya's film industry often relies on hype over measurable metrics, but data is essential for its growth and success.
- A lack of data in the industry leads to challenges such as investor hesitation and piracy issues.
- Investors seek predictability, which is hindered by the industry's unclear return on investment and misdirected incentives.
- Piracy costs Kenya's film industry billions annually, and a lack of granular data exacerbates the problem.
- Global examples show that data-driven strategies work, providing insights for audience preferences, targeted distribution, and piracy mitigation.
- A blueprint for data-driven growth in Kenyan film includes mandating box office reporting, training data journalists, and leveraging existing frameworks like the Film Fund.
- Using data creatively can enhance storytelling and global appeal for Kenyan filmmakers, ultimately leading to industry success.
- By adopting metrics and leveraging data, Kenya can maximize its cinematic potential and create sustainable growth.
- Data-enabled creativity allows filmmakers to craft stories that resonate globally, while also addressing local market needs.
- In conclusion, data should be embraced as a creative tool to propel Kenya's film industry to new heights and foster accountability.
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20 Likes
Medium
1d
147
Image Credit: Medium
From 92 Million Rows to a Usable Tool: Designing Data Solutions Without a BI Stack
- In 2025, the article discusses using Product Thinking, Design Thinking, and Business Intelligence to simplify complex data problems.
- The author, not initially involved in the project, bridged the gap between raw data and user needs.
- The process involved understanding requests, categorizing asks, and profiling user personas like Validators, Accountants, and Need to Discuss.
- Challenges arose in providing solutions that catered to different user needs and avoiding the 'Build Trap'.
- A tiered delivery approach was proposed with L1, L2, and L3 views based on user personas.
- Efforts were made to optimize performance and user experience through design choices like Balance Sheet views and structured data.
- The impact was seen in improved user experience and usability within Excel, even without BI tools.
- The focus on design thinking, user empathy, and product strategy led to a valuable and accessible solution.
- The article invites sharing experiences of building valuable solutions within unexpected constraints.
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8 Likes
Medium
2d
248
Image Credit: Medium
Mastering the Basics of Python for Data Science
- Keywords are reserved words in Python that have specific meanings and cannot be used for variable names. Examples include if, else, for, while, import, and return.
- Python’s dynamic typing makes it easy to assign values without explicitly declaring their type. It supports various data types such as int, float, str, bool, complex, and more.
- Python uses indentation to define blocks of code, ensuring readability and consistency. Forgetting to indent properly results in syntax errors.
- Strings are powerful in Python. You can perform slicing, concatenation, and use methods like upper(), lower(), replace(), and split().
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14 Likes
Medium
2d
244
Image Credit: Medium
Unveiling the Power of Data: A Journey Through Statistical Concepts
- Statistics is the science of collecting, organizing, analyzing, and interpreting data, enabling us to uncover hidden patterns and make evidence-based predictions.
- Statistical tools have become the analytical backbone of data science, machine learning, and AI, driving critical applications across industries.
- Data, measured differently, guides the selection of appropriate statistical techniques and provides insights through descriptive statistics.
- Statistical thinking empowers professionals to make better decisions in a data-driven world, with various applications in healthcare, retail, finance, manufacturing, and more.
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14 Likes
Medium
3d
91
Image Credit: Medium
Understanding Linear Regression: The Basics Made Easy
- Linear regression is a technique to find the equation of a line that best represents the data points.
- Programming exercises in the Google MLCC provide practical experience in implementing linear regression.
- Linear regression is used to predict values based on the relationship between variables.
- Linear regression serves as the foundation for more complex machine learning algorithms.
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