Transforming Data into Insight & Insight into Real-world Outcomes

Ventera captures and analyzes large volumes of data to give you the insight to identify innovation opportunities, reduce costs and win customer loyalty.

Data Architecture & Development

Planning and building the essential foundation for capturing, accessing, analyzing and managing enterprise data

  • Plan the data solution, accounting for the specific needs of your organization
  • Build a scalable data solution that is efficient and integrates with next-generation technology
  • Ensure current and future interoperability of data systems and tools
  • Harness vast enterprise data to support deriving intelligence and make better business decisions
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A data architect reviewing several complex data points to create the right framework for a scalable system

Data Management

Overseeing the entire data management life cycle, from acquiring and cleaning data to organizing, storing, and securing it

  • Automate and accelerate data migrations
  • Increase organizational intelligence through access and transparency
  • Enhance data usability and integrity
  • Cultivate and adhere to data security and data governance
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Ventera data management specialists monitoring data flow during a complex data migration

Analytics & Visualization

Bringing data to life with analytics and visualizations that inform business decision making and strategy

  • Eliminate information silos and democratize data while accounting for data security and data governance
  • Identify trends and business opportunities from large, complex data sets
  • Leverage human-centered data design to create enlightening visualizations and derive insights-driven knowledge
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AI & Machine Learning

Employing artificial intelligence, machine learning, and analysis to improve your decision making

  • Responsible use of AI to ensure satisfaction of legal requirements, ethical norms, and your organization’s values
  • Provide models that are explainable
  • Engage with you using an Agile approach that is supported by human-centered design
  • Deliver solutions that are understandable and maintainable on your choice of cloud platform
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Ventera Artificial Intelligence and Machine Learning experts reviewing data from a complex project
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Executives Fear Disruption

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“Modern data architecture empowers companies to call their own shots, anticipate demand and lead the way into new economies with strategic elasticity.”

- Praveen, EVP, Delivery Management

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Case Study

Fortune 100 Financial Services Provider

This Fortune 100 financial services provider offers corporate and personal retirement benefits plans. The group strives to make complex decisions simple and essential tasks easy for retirement, benefit, and executive plan managers and their employees. Retirement plans can be co-branded and configured to offer a customized range of services, delivered online and on demand.
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Case Study

The Department of Homeland Security (DHS) Science and Technology (S&T) Finance and Budget Division (FBD)

The Department of Homeland Security (DHS) Science and Technology (S&T) Finance and Budget Division (FBD) performs financial oversight of programs and projects, provides routine information, including reports to Congress, and helps to enforce fiscal responsibility. The DHS Science and Technology (S&T) Directorate invested in a multi-year modernization initiative to enhance its core operations with a focus on delivering technology advancements and bridging capability gaps at an expedited pace.
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Team sitting in open-office discussing DHS Case Study from Ventera
Team sitting in open-office discussing DHS Case Study from Ventera
Case Study

The Department of Homeland Security (DHS) Science and Technology (S&T) Finance and Budget Division (FBD)

The Department of Homeland Security (DHS) Science and Technology (S&T) Finance and Budget Division (FBD) performs financial oversight of programs and projects, provides routine information, including reports to Congress, and helps to enforce fiscal responsibility. The DHS Science and Technology (S&T) Directorate invested in a multi-year modernization initiative to enhance its core operations with a focus on delivering technology advancements and bridging capability gaps at an expedited pace.
Read this case study
Man looking at computer screen viewing the FreddieMac Case Study
Case Study

Unlocking the Power of Machine Learning for Freddie Mac

The Federal Home Loan Mortgage Corp., or Freddie Mac, is a U.S government-sponsored enterprise (GSE) dedicated to increasing housing market liquidity, stability and affordability by purchasing mortgages from banks and other lenders. Every day, Freddie Mac processes thousands of loans for hundreds of sellers (banks and other loan holders) across several loan processing systems.
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Meet Ventera’s Experts

Sooraz Mantena
Sooraz Mantena
Lead Data Architect

Sooraz has been a leader in providing data solutions for 20+ years. He is driven by data architecture, analysis, mining and data insights, modernizing systems, data warehouse, ETL, DBA, design and development. Sooraz has experience working with many private, state, and federal government clients in the areas such as WIC, NIH, USDA, DVA, CMS and DHS.

Seth Menghi
Seth Menghi
Data Scientist

Seth Menghi is a Senior Technical Consultant at Ventera. With six years of experience in Machine Learning and Data Engineering, Seth helps lead his team to deliver data-driven solutions to the healthcare and telecommunications industries. He’s always looking for a new challenge or problem to solve with ML/AI and even attended the first Python Computer Vision conference.

Sarma Musty
Sarma Musty
Technical Director

Sarma Musty is a Technical SME at Ventera. With 25+ years of experience in Business Intelligence, Data Analytics, Software Development and Architecture, Sarma leads his BI and Data Engineering team to deliver Scaled Data Services to Enterprise-level clients in the Government and Private sectors.

Noble Ackerson
Noble Ackerson
Director of Product Management for AI/ML

Noble is a Senior Product Manager at Ventera where he mentors the Product Strategy/Management practice. He is a certified AI Product Manager, a Google Certified Design Sprint Master, and formally a Google Developers Expert for Product Strategy. As a veteran technical product leader, Noble has close to two decades of delivering web, mobile, and vision camera technologies from abstract concepts to final products across the PDLC.

Peter Angeline, PhD
Peter Angeline, PhD
Senior Director, AI/ML SME
Dr. Peter Angeline received his PhD in Artificial Intelligence and Machine Learning in 1993 from The Ohio State University. Before joining Ventera, he held positions as a senior scientific consultant, vice president of advanced technologies, chief data scientist, strategic futurist, and emerging technology expert. Dr. Angeline is the author and editor of more than 40 scientific papers, conference proceedings, and books in AI and ML.

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