About Us

Our Story

We are specialists in providing innovative Data Engineering and Data Science solutions across industries. Our team of data engineers, data scientists, consultants, and business strategists focus on creating custom self-learning systems that scale real-time to meet your growing business needs.

We look forward to enabling your Data Monetizing opportunities!

Walt Little

Chief Operating Officer

Vision

To provide an environment for exceptionally talented and skilled people to thrive in their respective fields of expertise in the digital transformation domain. We will create shared wealth among our team members and partners while adding value to our customers by being a leader in innovation in a transparent and professional environment.

Mission

To be a key participant in a powerful movement in renewing US manufacturing as companies seek to leverage the low cost of domestic energy and bring critical national security supply chains back to the US. We see a Nation embarking on a journey that leverages energy and technology to empower domestic manufacturing and contribute to our national security by minimizing foreign supply dependence and the enablement of the US workforce.

The Ansi team will focus on Data Monetizing solutions the leverage digital automation to harness the power of Edge Computing, IoT, Machine Learning, AI, RPA, and Analytics. The business outcomes we envision will enable the optimal utilization of man-machine power to contribute to the renewal of manufacturing in the United States.

Values

Leadership

Our Strategy: Exceptional Core Team

Build a core leadership team that encompasses all of the core skills that support the technology underpinning our vision and purpose. Our core leadership team includes:

Walt Little: Chief Operating Officer

Walt has 35 years+ working with many of the global energy giants such as Chevron, XOM, Aramco, British Gas, ITAL Gas, and Pemex. After 14 years working for global System Integrators, including DXC, Wipro, and HCL specializing in Digital Transformation around SAP, Walt has turned his attention to operational asset solutions utilizing digital automation technology, including IoT, AI, ML, and RPA with a focus on Industrial Data Monetization.

William Giles: Advisor : Founder of Industrial Dominos

Supporting companies as they build the new alliances, define new responsibilities, and implement the processes required for the integrated digital ecosystem-based business models, enabling the utilization of industrial intelligent things and operational assets “as a service.” William served Spectra Energy and Enbridge in various leadership roles, including Director of Strategic Planning and Director of Real-Time Operational applications.

Thomas Penn: Engineering and Operations Lead

Tom is an experienced Industrial Control Systems and Cyber Security Executive who has established cyber security programs that include polices, procedures, standards, controls, and guidelines. He has deep experience in mergers & acquisitions and served as a corporate regulatory advisor in the areas of Cyber Security and Government Regulations, including PHMSA control room management.

John Conte: SAP Advisory Lead - S/4HANA Transformations, M&A and Divestitures, Data Science

John is an Enterprise Architect and SAP veteran of 30 years advising, implementing, automating and innovating across functional, technical and data domains. He has guided clients such as HP, Intel and LafargeHolcim in complex transformation, divestitures, mergers and data optimization efforts. Currently John is focused on building automated Knowledge Graphs for ERP leveraring AI to accelerate innovation and increase enterprise operational resilience.

“Data is the new oil”The quote goes back to 2006, and is credited to Mathematician Clive Humby, but has recently picked up more steam after the Economist published in a 2017 report Titled “The world’s most valuable resource is no longer oil, but data”.

Why Choose Us?

We are now in the next wave of deriving value from data using AI-powered systems. The ability to use AI-powered systems to solve a wide variety of business problems will be the key differentiator for enterprises in the next 5 years. Our team of Machine Learning and Deep Learning engineers and data scientists can help create that differentiation for your business in a fraction of the time and cost of traditional System Integrators.

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AnSi Solutions

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