Big Data

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View select Principal Points Profiles™ from these digital transformation domains

Intelligent Automation

The success of your big data project is only as good as the data it uses. But if you continue to have your data siloed, even if very large amounts, flaws will show up in the results, diminishing the impact of your artificial intelligence and machine learning efforts.

We can help you further leverage your existing investments by integrating your on-premise data with the ever-increasing amount of unstructured content and third-party data to maximize and produce better business outcomes.

The objective is to not only identify issues or opportunities, but also and primarily, to be able to take action from the results of the deployed advanced analytics.

Big data engineers lay the big data analytics groundwork. Data scientists then use this groundwork to create algorithms for AI models.

Your current structured data can certainly be useful, so it should not be overlooked to modernizing your legacy EDW to fit current technological standards, getting a performance and security boost along with that endeavor. Data lakes will then nourish your data-driven efforts. Then as a final step to process all of your data, both structured and unstructured, you’ll want to leverage big data technologies such as Hadoop, Spark TensorFlow, Keras and Kafka to process data streams in real time.

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Artificial Intelligence

New opportunities for AI adoption emerge in all facets of our business. To realize value from AI, you need to create discrete intelligent and autonomous capabilities. Our approach to the adoption of AI and intelligent automation is pragmatic, human-centered and outcomes-focused.

Machine Learning

Competitive advantage exists at the intersection of data science, intelligent automation, people and deep business expertise. To unlock true power, machine learning, deep learning, neural networks and gamification must be woven into ways of working and applied where it really matters.

Data Science

We peer into the future by bringing together the capabilities needed to help drive transformation. Data science is not rocket science. Put today’s most innovative solutions to work in your organization and solve complex problems using deep learning applications.

Digital Transformation

We help companies see the future and define their future workforce, not afraid to promote experimenting like a startup. By aligning the right people, we assist with seizing the opportunities of digital transformation while lowering the risks that being transformative creates.

Blockchain

Blockchain can accelerate your business processes, offering you an opportunity data security is in question or when source data is siloed but should be stored collectively. This technology has the potential to increase cyber security and improve data harmonization.

Intelligent Automation

Companies that want to embrace digital transformation and promote human-machine collaboration need to re-think their workforce - and that includes digital workers. The way work is performed today will differ from tomorrow as intelligent automation becomes embedded.