What does the future of AI hold for your enterprise?

MACHINE LEARNING

Data analysis a century in the making.

ENTERPRISE DATA HUBS

Enterprise Data Hubs (EDHs) provide the best of both worlds: Traditional data warehousing & BI tools and new Big Data architectures such as the Data Lake.

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CUSTOM SOFTWARE

BigR.io delivers customized solutions and architectures that maximize results on time and within budget.

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BIGR.IO’s

STRATEGY ENGAGEMENTS

BigR.io can support your company’s C-level and senior management teams in planning your technology strategy and helping align technology initiatives to support top-level business objectives. We can help you decide when and how to leverage cutting-edge technology to drive your strategic initiatives, guide your organization to embrace emerging Big Data and IoT technologies and trends, and integrate them into your architecture, operations, analytics, business intelligence, and product lines.

Our Strategy Engagements Include:

Big Data

Design the future of your corporate strategy around Big Data

Machine Learning

Reshape your business practices by embracing Machine Learning

Custom Software

Find your customized solutions for maximized results

BIG DATA SOLUTIONS

Incorporating Big Data technologies and initiatives into an existing information architecture can be challenging. BigR.io can help assess current readiness, design an architectural approach that addresses actual business problems with room for growth, and plan an implementation roadmap that maximizes impact and “quick hits” while minimizing risk and transition pain.

Data Lakes

Flexible raw storage strategies that support current and future data needs

Enterprise Data Hubs

Combine traditional data warehousing with advanced analytics for more powerful business insights

Data Integration

Merge data silos, legacy, and disparate systems to enable holistic use of all enterprise data assets

Private Clouds

Provide architecture security, scalability, and self-service

Internet of Things

Be prepared for the exponential growth of new machine-generated data

MACHINE LEARNING

Machine Learning has its roots in statistical analysis. Many of its fundamental concepts were already well understood for more than a century. While statistics itself has seen a very gradual adoption as a viable tool for solving real-world problems, Machine Learning as an engineering discipline also had a rough false start in the late 80s, giving the entire field of Artificial Intelligence a bad name. As it turns out, the reason Machine Learning as a specialty and statistics as an application discipline failed to deliver at first is less an indication of fundamental flaws and more a consequence of two market conditions: not enough data and not enough computing power. Both of these factors were to be erased within a few short decades.

DEEP NEURAL NETWORKS

PREDICTIVE MODELING

NATURAL LANGUAGE PROCESSING

CUSTOMER ANALYTICS

PREDICTIVE MAINTENANCE

MACHINE LEARNING FIELD GUIDE

CUSTOM SOFTWARE

BigR.io delivers world-class custom software solutions across all modern programming languages and platforms. Our development teams thrive on designing and implementing Enterprise, Web, and Mobile applications. We have deep experience with high-performance, highly-available systems.

BigR.io delivers customized solutions and architectures that maximize results for clients – on time and on budget. We drive results with cutting-edge, open-source, and off-the-shelf technologies, pulling in the best tools and systems for each unique use case and environment.