Resources
Blogs, videos, case studies and announcements from our team
[On Demand Webinar] Scribble Conversations: Responsible AI at the Enterprise
Read MoreRole of Multimodal AI in Financial Services: A Comprehensive Guide
“What is now proved was once only imagined,” wrote William Blake. Today, this paradigm is no longer confined to the artistic or poetic. It is the mantra of technological innovation in finance. The leap from traditional banking to digital platforms was significant, but the advent of immersive AI like GPT-4o and the Metaverse promises a […]
Read MoreBuilding AI Assistants: A Comprehensive Guide
For years, a giant mystery confounded the world of medicine. How do proteins fold? The answer, elusive, held the key to life itself. Then, a heroic AI agent – AlphaFold, emerged from DeepMind’s depths. It tackled the giant. And won. AlphaFold produces highly accurate protein structures The implications? Beyond staggering. AlphaFold is just the beginning. […]
Read MoreBlog posts
Top Insurtech Trends for 2025 and Beyond
The insurance industry stands at a crossroads. The global protection gap, a measure of uninsured risk, looms large. By 2025, it will reach $1.86 trillion. This is not just a number. It represents real people and businesses exposed to financial ruin. The old models of insurance are failing to keep pace with a rapidly changing […]
Read MoreA Guide to Managing Illiquid Assets in Pension Risk Transfers
As the sun rose on a crisp autumn morning in 2022, pension fund managers worldwide awoke to a startling new reality. The gilts crisis that had rocked UK financial markets had not only sent shockwaves through the economy but also dramatically reshaped the landscape of defined benefit pension schemes. For many, the path to buyout—once […]
Read MoreWhat’s Driving the Pension Risk Transfer Surge in the US, UK, and Canada?
Pension risk transfer markets are expanding. The United States, United Kingdom, and Canada are experiencing unprecedented levels of PRT activity. Record-breaking transaction volumes define this new era. An influx of new insurers and innovative deal structures are transforming the market. The PRT boom is touching every segment from multi-billion-dollar megadeals to mid-market transactions. What is […]
Read MoreThe Future of Retirement in the U.S.: Challenges, Solutions, and the Role of AI
At 74, Theresa Edwards rises before dawn, crisscrossing Los Angeles by bus to work as a caregiver. Her last patient of the day? Her husband of 55 years, recovering from a serious car accident. Every dollar counts in their household, where four grandchildren also reside. “Sometimes I wish I could stop working,” Edwards confides. “But […]
Read MoreThe Role of Data Quality in Pension Risk Transfer
Pension funds are like a vast web, woven over decades, where each thread represents a worker’s career—their wages, years of service, and life events. When this complex web worth billions of dollars changes hands, a single loose thread can unravel the entire fabric. Remember that adage, “You can’t manage what you can’t measure”? Well, in […]
Read MoreThe Evolving Landscape of LLMs in Enterprise Applications
November 2022. ChatGPT drops, and the AI world shifts on its axis. Little did we know, this was the digital equivalent of splitting the atom. Fast forward to today, and Large Language Models (LLMs) have gone from party tricks to power tools faster than you can say “Hey Siri.”. But let us cut through the […]
Read MoreAI Adoption in Enterprises: Key Strategies, Successes, and Challenges
From Wall Street to Silicon Valley, from London to Singapore, the race is on. Who will master AI first? Who will use it most effectively? And who will be left in the dust? This is not a story of robots taking over. It is a story of humans and machines learning to work together, each […]
Read MoreState of Enterprise AI Adoption: How Top Enterprises Are Building for the Future
The titans of industry are in an AI arms race. They’re not waiting for solutions. They’re building them. They are on the front lines – with foundational models, intricate ML systems and computing services that serve their sprawling global ambitions. Others are arming themselves too. With cloud platforms, engineering solutions and homegrown AI. Before our […]
Read MoreThe Insurer’s Guide to Managing Risks in Employee Benefits
Every day, insurers in the employee benefits space walk a tightrope, balancing profitability against market demands, regulatory pressures, and evolving workforce dynamics. One misstep in risk assessment or management can trigger a domino effect, potentially wiping out years of hard-earned gains. In this high-stakes environment, risk isn’t just an abstract concept—it’s a tangible force that […]
Read MoreThe Role of Technology in Employee Benefits Administration
Behind every benefits package is a human story. A new parent juggling childcare and career ambitions. A middle-aged employee managing a chronic condition while striving for peak performance. A near-retiree planning for the next chapter of life after decades of service. These aren’t just data points or policy numbers – they’re real people with complex […]
Read MoreCase Studies
Finding Conversion Anomalies at a Large E-Commerce Firm
Learn how a leading multi-billion dollar e-commerce company used Enrich to identify anomalies in their conversion rates and to find out their causal factors.
Read MoreStreamlined data insights and agile data preparation for Terrapay
Learn how Terrapay, a leading cross-border payment infrastructure solution provider built the Terrapay Intelligence Platform (TIP) with Enrich to achieve operational efficiency through use cases such as Forecasting, Partner Performance Analytics, Customer Journey Analytics, and more.
Read MoreHow Mars Took Steps to Evaluate the Potential Impact of the “Great Resignation”
Learn how Mars, a Fortune 100 CPG company collaborated with Scribble Data to assign a “probability of attrition” through data, and ML modeling.
Read MoreAccelerated ML Engineering for a Leading E-Commerce Brand
Learn how a leading e-commerce brand selling children’s apparel built their data intelligence platform on Scribble Data that supported the rapid development and deployment of use cases such as Product Listing Optimization and Re-ordering.
Read MoreUnderstanding Shopping Paths at a National Mall Chain
Learn how a nationwide mall chain used Scribble Data’s Enrich platform to identify patterns of shopper footfalls, determine the timing and location of ads, and achieve a significant M-o-M increase in revenue.
Read MoreA National Level Retail Store Chain
A national level retail chain in India leverages Scribble Data Enrich for developing an accurate understanding of their buyer personas, their distribution, demand and context at a fine granularity to address multiple operational use cases.
Read MoreVideos
MLOps Conference: Fast Development of ML Applications
Malavika Lakireddy (VP, Product Development, Zeotap), Saransh Verma (Director-Analytics, TerraPay), and Dr. Venkata Pingali (Co-Founder and CEO of Scribble Data) talk about the challenges in developing ML applications.
Watch NowOrchestrating AI Assistants at the Enterprise
Dr. Venkata Pingali, CEO of Scribble Data, talks about the complexities of orchestrating multiple AI systems to work seamlessly together.
Watch NowLifecycle of a Data Product with Dr. Venkata Pingali
Watch this session where Dr. Venkata Pingali, Founder & CEO of Scribble data shares his perspective on Data Products, the types of Data Products, and the lifecycle of Data Products with the Data Heroes community.
Watch NowCustomer Testimonial: Cloudphysician
Dileep Raman, Cloudphysician’s Co-founder and Chief of Healthcare, talks about how Scribble Data enabled them to rapidly build pipelines to transform their data and get daily updated feature sets as well as trustworthy models – all in less than 4 weeks!
Watch NowCustomer Testimonial: Mars, Inc.
Dr. Vidyotham Reddi of Mars, Incorporated–a leading US-based multinational CPG manufacturer of confectionery, pet food, and other food products and a provider of animal care services, talks about his experience of working with Scribble Data. Learn how his team at Mars was able to assign a “probability of attrition” to employees, calculated based on which […]
Watch NowWhat’s the deal with sentient AI? – Achint Thomas
Sentience in AI has always been the holy grail for computer science. What qualifies as AI sentience, and what is just another case of a model mimicking the data it’s trained on?
Watch NowAnatomy of a production ML feature engineering platform – Venkata Pingali
This talk draws upon the Scribble’s experience in building and evolving a production feature engineering platform, and the many conversations we have had with user data scientists. The talk will focus on the learnings, and not on the Scribble product itself, and expand on the talk from Fifth Elephant Mumbai in Jan 2019 on reducing […]
Watch NowAccelerating ML using Production Feature Engineering Platform by Venkata Pingali
Anecdotally, only 2% of the models developed are productionized, i.e., used day to day to improve business outcomes. Part of the reason is the high cost and complexity of productionization of models. It is estimated to be anywhere from 40 to 80% of the overall work.
Watch NowGlobal Feature Store Meetup #13 – Scribble Data
Feature stores have been traditionally designed for complex ML applications (Big-ML) that normally assume clear and high value propositions, long lead times, skilled staff, and advanced methods. Sub-ML is a space of mid-complexity ML applications where there is higher uncertainty in terms of value, methods used, available staffing, and speed is critical. Sub-ML is interesting […]
Watch NowOperationalizing responsible Machine Learning
ML models have to be both economically viable and FAccT (Fair, Accountable, Transparent). The terminology is new but not the need to defend models or to attest they can be trusted. Such requirements were present from the 70s for credit scoring models. What has changed is the scale and scope.
Watch NowWebinars
[On Demand Webinar] Scribble Conversations: Responsible AI at the Enterprise
Join leading industry experts for a two-part webinar series that unveils strategies for understanding the importance, legal nuances, ethical considerations, and future challenges of responsible AI.
Read MoreeBooks and Whitepapers
Generative AI for Pension Risk Transfer
Read MoreStay updated on the latest and greatest at Scribble Data
Sign up to our newsletter and get exclusive access to our launches and updates