If you’ve been juggling the twin roles of business intelligence and data engineering at work, you may have evolved into something else entirely—the Analytics Engineer.
If you’ve been juggling the twin roles of business intelligence and data engineering at work, you may have evolved into something else entirely—the Analytics Engineer.
We’ve found that using ML to detect, classify, and map out the drivers of deforestation is a promising tool.
The accessible nature of SQL can help you maximize the efficiency and flexibility that come with using a modern data stack.
Using ELT to process data has several advantages over ETL, including an easier way to start implementing the modern data stack.
Thinking Machines launches its open source data wrangling tool for faster geospatial data processing.
MDS is an ecosystem of technology that makes it much easier to govern, access, transform, and process data in an accessible and affordable way.
AI alone can’t save us, but we can use it to develop solutions and design a sustainable future for everyone.
How do we measure gains from AI projects?
A majority of AI projects fail. How do we make sure they hit the mark?
Viewed as an investment, executive coaching drove Thinking Machines’ growth from a startup to a team of 150 people.
We make the case for why your business should upgrade from on-prem to cloud data platforms.
Sabbaticals have led many of us at Thinking Machines to return feeling recharged, with fresh eyes, and full of new ideas.
Leading with values can set the foundation for organizational alignment, productivity, and longevity in a way that vision alone can’t.
The process of becoming an AI-driven organization is full of trials and errors—but it doesn’t have to go haywire. In this blog, we share how to map out every stage of the journey for success.
Taking your first steps to drive AI innovation in your company can be scary, but it all starts with understanding your why, your how, and aiming for action.
We’re open sourcing our haze estimation models!
Let’s settle the debate on whether AI is a tool or a threat–humans can leverage AI to supercharge our decisions and abilities in just about everything.
What’s the deal with storing data? Over the years, the growing use of data led to the innovation of various storage solutions, including what we now call the data platform–a key asset for any modern enterprise.
Rapid solutions are needed to fight deforestation, but we know data is not enough. Here are our learnings from getting down and dirty with groups restoring ecosystems at the frontlines.
Learn how we configure Google’s Cloud Build to achieve continuous deployment of our Dagster pipelines.
Thinking Machines worked with Philippine Airlines to develop a Customer Data Analytics Platform that processes 20TB of data every day across 12 sources. The platform enables 90% faster insighting - reducing the time spent to generate key marketing reports from 3 weeks to 2 days.
We improved EastWest Bank’s operations and customer experience by automating its transaction reconciliation process for 587 ATMs nationwide and streamlining 2 million monthly customer transactions.
We’re thrilled to announce our work with UNICEF Venture Fund to build the AI4D (Artificial Intelligence for Development) Research Bank, which will accelerate the development and adoption of effective machine learning (ML) models for development across Southeast Asia.
We are excited to work with Conservation International and Arizona State University to use computer vision and earth observation data in mapping the most suitable aquaculture farms for mangrove restoration in Southeast Asia.
Thinking Machines’ new Eco-Intelligence Solution will use AI to support groups in the Philippines that are protecting and restoring forests and scaling nature-based solutions.
We built a custom Broadband Migration Tool that allowed Globe to automatically process and improve the quality of addresses at scale, resulting in a 6x increase in customer locatability and network matching.
We trained an ML model to extend rice yield data to over 50x more plots of land in Cambodia, providing a faster, more scalable, and cost-efficient method of measuring productivity for the Asian Development Bank.
Consistent Data Preparation, Model Deployment, and Model Retraining are some of the challenges faced when bringing ML systems to production. Find out how we utilized Dagster to tackle these problems and implement a Smart Search Application.
Filipinos believe tackling climate change will boost the economy. But what’s surprising? They also think the country needs more fossil fuels in the future.
Governments have no time to waste in the climate fight. Here are four actionable takeaways to support AI for development, from building accessible data portals to enabling scalable AI solutions in climate-relevant sectors.
Every city has its own unique design and story. Let’s dive into four Philippine cities to learn more about how history and topography have influenced the streets we navigate.
Understand the differences between OLTP Databases, Data Warehouses, and Data Lakes, and when to use which for your business
As a young tech company that makes no physical products, can our climate impact be worth more than its weight in carbon? We hope so.
Spoiler alert: While the Philippines does have very ambitious emission reduction targets that are aligned with keeping global temperature rise below 1.5 degrees, we are way off track from achieving these.
Thinking Machines Thailand have partnered with Techsauce, the leading source of all tech and business news in Thailand. The partnership aims to produce localized tech and data stories, workshops, and events.
Being data-driven means taking climate action. We’re trying to find our niche in the climate fight.
We built a custom ML model that can estimate the price of any property in Singapore. With only 4% difference against historical sales prices, the model delivers data OhMyHome needs at an unprecedented speed and scale.
We worked with LBC to develop a Single Customer View (SCV) that automatically identifies unique customers from daily transactional records, resulting to 40x faster processing and 3.5x higher accuracy.
Thinking Machines and Snowflake are partnering up to accelerate data transformation in Southeast Asia through powerful cloud data platforms and scalable AI solutions.
Thinking Machines continues to expand across Southeast Asia with our new Bangkok office!
While Bangkok’s COVID-19 recovery is slow as lockdowns are reinstated to contain rising cases, Mapbox Movement data shows that some areas in the capital are starting to pick up a year since the onset of the pandemic.
Spoiler alert: It’s a rather lopsided battle.
The World Bank aims to better understand local government units’ (LGU) spending patterns and trends in budget execution over a period of four years by examining the LGU’s financial statements collected by Philippines Commission on Audit (COA).
Thailand's 5G rollout is leading in the region! Here's how geospatial data and AI can increase presence outside of the capital.
How will the digital divide affect our recovery from the COVID-19 pandemic? In this final blog in a series with the ADB, we map disparities of wealth and digital infrastructure in the Philippines up to the last mile.
Successful businesses use geospatial analytics wisely and we’ll tell you why you should start using it too.
Using publicly accessible datasets, we developed a low-cost AI model to estimate wealth for the entire Philippines and analyzed what geographical factors are associated with wealth levels.
Generate your own digital holiday greeting card with artificial intelligence and beautiful data visualization and share it with your loved ones this holiday season!
Thinking Machines presented at NeurIPS 2020 workshops, ML4D and AI + HADR, and won Best Paper at ML4D!
In this third blog in our series with ADB, we zoomed into three Southeast Asian cities throughout the pandemic to see how nighttime lights have changed alongside lockdown measures and other key data sources.
With Ookla’s new Speedtest dataset, we explore the fastest internet speeds in Southeast Asia this year.
Can we still monitor movement under new constraints? In this second part of a blog series with ADB, we use Waze CCP mobility data to show how traffic flow has changed throughout lockdown in major Philippine cities.
GeoAI is helping organizations bring solutions to new heights with spatial insights. Read about four key Computer Vision concepts that make GeoAI possible.
Geodata Catalog is now in closed beta; sign-up for free and get access to our geospatial data warehouse today!
We worked with ULSSI to create an idea management tool that helps their Innovation team collect, discover, and organize data all in one tool.
Identifying high impact health facility locations with CARTO’s BigQuery Tiler and large open-sourced geospatial datasets.
“CARTO and Thinking Machines both believe in the power of geospatial insights for better decisions in a complex world," says Stephanie Sy, our CEO. "We’re very excited to bring better spatial data analytics tools to everyone.”
We developed an AI model to rapidly detect new informal settlements in Colombia, aiding humanitarian groups on the ground respond quicker.
We worked with Globe Telecom to build an AI model that measures the socioeconomic class of areas across the entire Philippines to assist in their high CAPEX decision making.
We’re excited to announce that we’re partnering up with Mapbox!
Making design decisions in Thinking Machines was as hard as picking up an outfit when you’re late for work. Learn how we solved our design dilemmas with Asimov, TM’s design system.
We tackle some of the nitty-gritty, advanced statistical concepts that must be addressed by statisticians and data scientists when adopting A/B testing in practice.
One of the biggest promises of data science is for business owners and executives to be able to understand the causal relationships and fundamental drivers that underpin their business. Find out how A/B tests can be leveraged to do just that and why you should.
Successful businesses use geospatial analytics wisely and we’ll tell you why you should start using it too.
A hard life awaits millions of Venezuelan migrants seeking refuge in neighboring Colombia.
Programming in BigQuery may feel very light, but do you have a safety net for when the cloud goes down?
We built a deep learning word embeddings model that learns nuanced topic relationships by reading the news.
Tired of doing all of your geospatial feature engineering from scratch? Don’t fret; we’ve got a magical tool for you!
There are still a lot of uncharted territories in the Philippines, at least on OpenStreetMap, the world's Wikipedia of Maps. #MapTheGap
We rapidly developed a high-performance logo detection model and front-end mobile application that identified our client’s product on retail shelves.
Estimate wealth and poverty for any 18 square kilometer area within a fraction of the time and cost of running a household survey.
Done making Christmas cards? Why not let an AI do it for you?
Does the Philippines have enough HIV testing facilities to curb one of the world's fastest growing HIV/AIDS epidemics? Explore our 3D interactive map.
The results are mixed.
Using publicly available player statistics, we visualize how the game we love has changed over time.
We built a web app to semi-automate cleaning up inconsistently spelled names of Philippine barangays, municipalities, cities and provinces. Try it out.
The Philippines is one of the most at-risk and vulnerable countries in the world. But the geographical distribution of risks and vulnerabilities within the archipelago is uneven.
Want to know what time you should schedule your flight so your car ride home isn't longer than the actual flight? Click to find out!
We use word embeddings to look into the evolving landscape of research topics in NIPS, AI’s most prestigious conference, through the years.
A unified and cleaned data pipeline to empower meaningful analysis and optimized business decisions
What are the most female- and male-dominated degree courses in UP? Explore our interactive dashboard to find out.
What happened when we asked a physicist, a compute…ta scientist to make our company Christmas cards?
Also known as: time-tracking for lazy people who hate forms.
Actually, Tita, the number of Filipinos getting married has declined 15% in the past 10 years. It's part of a nationwide trend.
Developed a fraud detection model to help identify insurance claims outliers for further investigation.
Advanced market segmentation using Machine Learning to develop targeted campaigns to improve consumer behavior around payment operations
Data design, prototyping, and development of dashboards to visualize key program targeting and impact measurement metrics.
Which roads and intersections are the most accident prone for motorcycles? Where are pedestrians most vulnerable to be injured? Which routes are dangerous for both?
We uncovered potential chokepoints on EDSA Southbound using Waze data to show you exactly where you shouldn’t be during weekdays.
Minutes are the default method of documenting and summarizing meetings. But they’re also about as interesting to read as your social media's terms and conditions.
We're excited to be working with the MMDA to use real-time Waze data to analyze, diagnose, and address traffic congestion in Metro Manila.
Make your own Philippine cartogram with our free resource.
Small tweaks can make a big difference when it comes to data design. Here are five case studies from our recent data storytelling workshop.
Our Data Designer, writes about what she learned from attending Information+, one of the few data visualization related conferences that targets both researchers and practitioners.
Why did we use a cartogram instead of a normal map for visualizing the election results?
A look at the number of index crimes per 10,000 residents for 15 Philippine cities.
How many of the tweets about the Philippine presidential candidates were likely posted by Twitter bots?
We're sharing the presentations delivered by the four speakers at our Feb. 19 artificial intelligence conference in BGC.
Sure, Siri is a long way from being Scarlett Johansson. But she’s a real-world example of how artificial intelligence has crept into daily life.
We use some of our favorite tech to build a data ingestion, storage, and analysis infrastructure.
What types of vehicles have hit or killed the most pedestrians in Metro Manila over the past ten years?
Part of our continuing series on road safety. Which roads and cities reported the highest number of persons injured or killed in traffic incidents in 2014?
Our data science lead Stef Sy shows you how to generate colorful line, bar, scatter plots and more using just a few lines of code from the Matplotlib library.
How likely is it that if you get in an accident on your daily commute, it will result in someone getting hurt or killed?
The Thinking Machines team and philosophy.