Datatron announced today enhancements to its MLOps and AI governance solution, making it even easier for enterprises to catalog, operationalize, monitor and govern AI/ML models.
With Datatron, customers experience 15 to 20 times more effectiveness in model deployment, bringing substantial business gains and productivity improvements. Datatron also eliminates the complexity and expense associated with constant iteration and management of many AI models at one time.
Key enhancements to the Datatron Reliable AI™ platform include:
ML Gateways: ML Gateways provide centralization and orchestration of models and data in complex, multi-tenant environments. It's designed to support a growing number of use cases, helping enterprises overcome challenges, including compliance, differing model technologies, and AI ownership across subsidiaries, partners, and internal data science teams
Customer-defined KPIs: This enables enterprises to define their own formulas for continuous analysis of statistics and measures, set thresholds for warning and alert conditions, and include KPIs in the central governance dashboard
Explainability with confidence: This unique innovation is a departure from many theoretical exercises by others. Datatron builds in a confidence score that is used against explainability, helping customers understand what data was relevant in the results and the level of trust one can place in those results
Native Jupyter support: Supports direct import of Jupyter notebooks by data scientists to silently run alongside current models to get faster validation of fit, making all the governance metrics available before the model goes live
Rapid setup and deployment: A new five-step guided process allows customers to run a selected model in production as APIs for real-time inferencing or scheduled batches in less than 10 minutes
"At Domino's, we understood very early on that for our AI initiatives to be successful, it was important to bridge the skill sets gap between the different data scientist teams and IT organizations. Not only does Datatron's platform make this possible, but it also enables us to implement strong MLOps to rapidly operationalize our machine learning models."
Zack Fragoso, manager, data science and AI, Domino's
"Despite all the readily available open source MLOps frameworks, building your own MLOps infrastructure from scratch is no trivial task. Constant iteration and management of many AI models can be incredibly complex and expensive. That's why we're dedicated to making it even easier than ever for enterprises to operationalize, monitor and govern a large number of AI models."
Harish Doddi, CEO, Datatron
Founded in 2016, Datatron's centralized AI ModelOps and Model Governance platform helps organizations unlock the value of their machine learning and artificial intelligence investments. With Datatron's Reliable™ AI platform, customers harness the power of AI and ML by automating and standardizing the deployment, monitoring, governance, and validation of all AI models developed in any environment. Industry leaders in financial services, insurance, pharmaceutical, and food and drinks rely on Datatron to operationalize and govern AI solutions at scale, producing predictable, rapid and reliable business outcomes. Datatron is a privately held, venture-backed company headquartered in San Francisco, California.
Roostify, a leading digital technology provider in home lending, has launched the Roostify Document Intelligence (RDI) Service for lenders, the first available service on its API platform, to instantly process and contextualize mortgage-related documents utilizing machine learning.
Buying a home requires a borrower to submit substantial and detailed paperwork to support the loan application, making the current manual process cumbersome, error-prone, expensive, and difficult to scale. The lending industry spends millions of dollars each year processing these documents which include W-2s, pay stubs, and borrower asset statements.
The RDI Service uses machine learning, developed in partnership with Google Cloud, to instantly process documents required for mortgage underwriting and deliver relevant data as needed to streamline the rest of the lending process. The service has three main capabilities: document classification, data extraction, and data validation.
Through document classification, the service processes a document to identify the document type and confirm whether the document satisfies an associated condition generated by a loan origination system, automated underwriting system, or rules engine. With its data extraction capabilities, the RDI Service extracts the data contained in the document and returns it as human-readable, usable data via API. The data validation service matches extracted document data against loan application data to identify any potential inaccuracies, errors, or inconsistencies.
The Roostify Document Intelligence Service is readily available to all lenders as well as mortgage service providers and technology providers. It can support an infinite number of use cases benefitting from automated identification and extraction of data contained within the mortgage document set.
“Providing new services that utilize artificial intelligence is a big step towards improving the way borrowers experience the home buying journey, and the way lenders can simplify a process that despite rapid digitization is still cumbersome and complex.”
Rajesh Bhat, co-founder and CEO at Roostify
RDI is currently able to process more than 25 of the most common borrower-provided documents (e.g., paystubs, asset statements, tax forms), and by the end of the year, will have upwards of 50 mortgage document types covered. Across the entire document set, the average confidence level is greater than 90%, with 35+ document types having a confidence level of over 95%, without manual review. Thanks to machine learning capabilities, this confidence level only improves over time.
“With mortgage lending becoming increasingly competitive, every minute and dollar counts for both lenders and homebuyers,” says Bhat. “As we look into the next decade, innovations in AI, machine learning, and other technologies will lead to a home lending industry that is virtually unrecognizable from today’s, and the foundations that we lay now are just the start of that process. The operational efficiencies the Roostify Document Intelligence Service enables serve as a foundation, and an absolutely fundamental one, for future innovations.”
The Roostify Document Intelligence Service lays the groundwork and offers real advancement for a mortgage process that isn’t simply a digitized version of the old way, but a meaningfully improved, streamlined system that will ultimately benefit both lenders, and borrowers in the future. The service is now available to all mortgage providers on Roostify's new API platform and any lender, mortgage service provider or technology provider can use the technology regardless of their existing digital infrastructure, even if Roostify isn’t their mortgage technology partner.
Roostify was founded in 2012 to modernize and simplify the manual, inefficient mortgage process and create a more enjoyable experience for the customer and lender. Today, Roostify is helping lenders process more than $50 billion in loans each month, from large enterprise banks to thriving independent brokerages. We empower lenders to accelerate and simplify the lending process to help lenders and customers alike unlock more of life’s big moments.
SparkBeyond announced today the next iteration of "SparkBeyond Discovery," its AI analytics platform for next-generation problem-solving. Now data professionals can leverage SparkBeyond's sophisticated AI-driven platform to make better business decisions, faster.
The new no-code platform, with a simplified user interface and embedded methodology, is now capable of faster discovery of novel insights and generation of predictive models. It explores millions of hypotheses per minute based on internal and external data sources to reveal previously unrecognized drivers of business and scenario outcomes, and explains its findings in natural language.
Already some of the most prominent global companies are using SparkBeyond Discovery, including McKinsey, Baker McKenzie, Hitachi, PepsiCo, Santander and ABInBev.
"The demand for data skills has reached virtually every industry. What was once considered a domain for expert data scientists at large enterprise organizations is now in urgent demand across companies of all sizes. Our new release is powerful yet intuitive enough that data professionals—including analysts at medium-sized and smaller organizations—can now harness the power of AI to quickly join multiple datasets, generate millions of hypotheses and create predictive models, unearthing unexpected drivers for better decision-making."
Sagie Davidovich, CEO and co-founder, SparkBeyond
Core benefits of the new SparkBeyond Discovery platform include:
• Automate and exhaust your search for insights
Leverage Automated Feature Engineering to instantly run millions of hypotheses on your data, finding signals where you wouldn't think to look.
• Join multiple, different data sources in a few clicks
From time-series to text analysis to geo-spatial data, auto-connect most data types in their raw, granular form, without writing a single line of code.
• Augment your data by adding real-world context
See the bigger picture by integrating SparkBeyond's curated database of world knowledge (maps, Wikipedia, demographics, etc).
• Collaborative UI for stronger results
Generate superior, enriched composite features in explainable, natural language, and examine a range of metrics on each feature for closer evaluation.
• No-code training, tuning and evaluation of ML models
Use built-in Auto-ML to enhance predictive models at their core, improving model accuracy and accelerating time-to-value.
SparkBeyond is on a mission to deepen and accelerate the human ability to solve complex problems on a global scale, combining breakthrough technology with human excellence in order to make better sense of operational, financial and social realities.
Its flagship product, SparkBeyond Discovery, is the decision intelligence platform of top companies and consulting firms, as it catalyzes the analytics transformation with AI automation. Global industry leaders leverage SparkBeyond technology to extract novel insights out of data, develop new knowledge, and orchestrate solutions for their most pressing problems, driving lasting impact across a broad range of challenges.