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By Tooba Ali
If you've spent any time researching accounts payable automation, you've probably run into the term RPA — robotic process automation. It's one of the oldest and most widely deployed forms of business automation, and it still plays a real role in AP departments today. But it's also frequently confused with newer, AI-powered approaches to invoice processing. This guide breaks down what RPA actually does in accounts payable, where it holds up, and where it runs out of road.
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By Ayesha Amjad
TL;DR: Fiserv platforms generate fixed-width.rpt files where every field sits at an exact character position. Astera ReportMiner maps those positions through a visual template editor, extracts the data, validates it against your business rules, and writes it directly to Excel, CSV, or 200+ other destinations. One template handles every future instance of the same report type, and the full pipeline runs unattended on a schedule.
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By Ayesha Amjad
Mainframe reports are one of the oldest and most persistent data extraction challenges in enterprise IT. They are generated by COBOL programs, printed by JES2/JES3 spoolers, and exported as fixed-width text files from IBM i Series, z/OS, AS/400, and similar systems. They power critical operations in banking, insurance, government, healthcare, and manufacturing. They also look nothing like the documents that modern AI extraction tools are designed for.
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By Ayesha Amjad
If you work in banking operations, you know what a green bar report is. You probably have a stack of them arriving every morning: end-of-day balancing reports, settlement summaries, general ledger extracts, and transaction logs that run hundreds or thousands of pages. These reports are printed in fixed-width text with alternating green and white bands so someone with a highlighter can trace a number across 132 columns without losing their place.
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By Astera
Every AP team eventually asks the same question: not whether to automate - as PYMNTS reports, 78% of CFOs now see AI as central to accounts payable - but which platform actually fits their ERP, invoice volume, and team. We compared 10 AI-powered AP automation platforms on capability, integrations, and real user ratings, so you can skip the demo marathon and go straight to a shortlist.
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By Ayesha Amjad
In June 2026, the highest-grossing law firm in the world committed $500 million to build its own AI platform. The firm put more than 180 engineers and data scientists and over 250 of its lawyers on the effort. It chose to build because general-purpose tools could not execute their transactions or reason over their massive institutional knowledge. That is the bill for a first-class AI product built from scratch.
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By Hira Asif
In 2024, two of the largest data platform companies, each with billions in revenue and dedicated AI research teams, invested in building their own foundation models. One spent roughly $10 million training a 132-billion parameter model on 3,072 NVIDIA H100 GPUs. The other released a 480-billion parameter model optimized for enterprise tasks like SQL generation and code. Both achieved strong results within their compute class.
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By Ibrahim Surani
In my younger days, eons ago in tech years, I worked on many enterprises IT projects or saw them up close. Failure rates of these projects were incredibly high. There was a mortgage system that was expected to be live in six months but ended up taking over five years and went live with a small fraction of the features originally planned. Many other projects never got out of the development phase.
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By Ayesha Amjad
Astera today announced the launch of Centerprise AI, the agentic evolution of its enterprise data management platform. Centerprise AI embeds proprietary agentic harness across the full data management stack, enabling data teams to design, test, and deploy their data assets, warehouses, pipelines, data models, and analytics in a single platform.
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By Ayesha Amjad
Centerprise AI combines agentic warehouse construction, governed data pipelines, and conversational analytics in a single platform, eliminating the multi-tool sprawl that has slowed enterprise data teams for years. Centerprise AI’s agentic data warehouse and analytics module take organizations from raw source data to live analytics dashboards through a conversational interface.
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By Astera Software
Most AI can answer what the data says. But is that answer governed, accurate, and traceable enough to act on? Centerprise AI gives enterprises the data foundation they need to scale AI with confidence. One platform that brings together every data source, models it into a governed warehouse, and encodes your business logic as Skills.
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By Astera Software
Scaling AI agents to production comes down to the data foundation behind them. Astera's Centerprise AI gives agents secure, governed access to enterprise data, and its business context without exposing it to the LLM. Watch to see how it works.
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By Astera Software
Most enterprises spend 80% of analysts' time just extracting data from documents. Formats change. Vendors switch layouts. Templates break. Astera ReportMiner handles document variability automatically. It converts documents into structured, system-ready data regardless of layout, with no templates and no code. Teams get their time back. Data flows into downstream systems reliably. This video shows how ReportMiner handles real-world document variability and keeps your data pipeline moving automatically.
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By Astera Software
Most enterprises spend 80% of analysts' time just extracting data from documents. Formats change. Vendors switch layouts. Templates break. Astera ReportMiner handles document variability automatically. It converts documents into structured, system-ready data regardless of layout without any manual effort. Teams get their time back. Data flows into downstream systems reliably. This video tells how ReportMiner handles real-world document variability and keeps your data pipeline moving automatically.
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By Astera Software
You can now create and manage data pipelines using natural language, directly from Claude. Describe what you need: build a model, generate pipelines, create mappings, validate structures. Claude reasons through the logic, and Centerprise executes it. If you already use Claude to think through problems, now you can use it to build the solution too.
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By Astera Software
Watch how Astera Centerprise streamlines your data warehousing process with a visual, no-code interface. From modeling and preparation to loading and automation, Centerprise helps you design and deploy modern data warehouses in a fraction of the time — all without writing a single line of code. Smarter. Faster. Effortless.
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By Astera Software
Watch how Astera Centerprise keeps your systems perfectly in sync with AI-powered, no-code automation. Whether you’re syncing databases, cloud applications, or files, Centerprise ensures every change flows reliably across environments, maintaining consistency and accuracy at scale. Smarter. Faster. Effortless.
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By Astera Software
Watch how Astera Centerprise consolidates all your data sources with an intuitive, no-code interface. Whether your data resides in databases, cloud applications, or flat files, Centerprise brings everything together into a single, trusted source of truth.
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By Astera
In the insurance industry, the claims process plays a vital role in shaping an insurer's reputation, customer satisfaction, and financial performance. However, this process is primarily characterized by the substantial volumes of unstructured data that insurers must adeptly handle and leverage to enhance the customer journey and streamline claims lifecycle management.
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By Astera
The big increase in data, more sources of data, and the need for quick insights mean companies have to move away from slow, fixed methods of handling data. Dynamic ETL emerges as a timely solution, offering the flexibility to process data in real time, adapt to changing formats seamlessly, and scale operations efficiently.
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By Astera
The education sector has always worked with data to guide various processes, most notably student progress. But with powerful, AI-driven data extraction tools impacting other industries, it's time for educators to leverage these tools, accelerate data extraction, and turn data into actionable insights much faster.
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By Astera
A Single Customer View (SCV) is crucial for optimizing marketing ROI from a tech standpoint as it consolidates data from diverse channels, offering a complete customer profile.
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Astera Software is a rapidly-growing provider of enterprise-ready data management solutions. Our goal is to make data-driven insights more accessible than ever through no-code, user-friendly, and automated data extraction, data integration, data warehousing, API management, and EDI solutions.
Features of Astera Centerprise:
- Support for Diverse Systems: Connectivity to a range of structured, unstructured, and semi-structured data sources, including databases, web services, data warehouses, and flat file formats, such as delimited and CSV is the basic staple of all information mapping tools.
- Graphical, Drag-and-Drop, Code-Free User Interface: A code-free environment to create mappings and a graphical, drag-and-drop UI to process data using built-in transformations.
- Ability to Schedule and Automate Jobs: The ability to orchestrate a complete workflow using time and event-triggered job scheduling is a valuable feature in a tool. This automation cuts down the manual work, improving productivity and saving time.
- Instant Preview Feature for Real-Time Testing: Intuitive features like Instant Data Preview help prevent mapping errors at the design time. This functionality lets the user view the processed and raw data at any step of the data process.
- SmartMatch Data Conversion Mapping for Resolving Naming Conflicts: Synonym-driven file reading to resolve discrepancies in field names and business data lineage function to address the challenges of naming conflicts. It can be done by defining synonyms for a word in the synonym dictionary of a particular project.
Empowering Enterprises Across the Globe to Turn Data into Insights at Lightning-fast Speed!