Artificial Intelligence StrategyAl Maturity Assessment for Enterprises

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About StAllIon AI

Stallion.ai provides leading AI services, solutions and products to help organizations across different industries to implement AI today.

Our AI research and development facilities in Canada and the UAE allow us to solve today’s complex problems, customize real-life AI applications for positive future impact, and drive innovation.

We are a group of machine learning PhDs, physicists, computer engineers, data scientists, developers, serial entrepreneurs and business leaders who are passionate to revolutionize the future of enterprises in public and private sectors with AI and machine learning technologies.

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EXPERtS bEHInD tHE PRoGRAM

EVAn StEEG, PHD

SAMER obEIDAt, MGM

DAnIEl SHAPIRo, PHD

MAttHEW lEMAY

HAZEM A. M. AWAD, PHD

Dr. Steeg is a Canadian entrepreneur with an AB in Mathematics and Economics from Cornell University and MSc & PhD degrees in Computer Science from the University of Toronto, where he studied under renowned neural networks pioneer Dr.Geoffrey Hinton. Evan has numerous publications and presentations on AI, machine learning and bioinformatics; andhe received patents in the US, Canada, and Australia for a novel, fast association mining algorithm. He founded and led an AI-driven bioinformatics company, raising $13M and launching two software products globally. As the National Research Council’s Foresight Director, he led major technology foresight projects on Big Data & AI, advising the Canadian government on the key drivers, risks and highest-value opportunities.

Mr. Obeidat is a global serial entrepreneur, researcher, and an impactful investor. He has over a decade of experience in leading successful technology startups, business consulting and fintech. Obeidat is currently leading a group of machine learning PhDs, data scientists and engineers with artificial intelligence technologies. Obeidat holds a BA degree in applied chemistry from Jordan University of Science and Technology (JUST), and a masters’ degree in global management (MGM) from Royal Roads University in Victoria, BC, Canada, where he conducted an empirical research project that focused on managing global multi-asset investment portfolios using machine learning models.

Dr. Shapiro is a Canadian entrepreneur with a PhD in Electrical and Computer Engineering, and Master’s in Electrical Engineering, both from the University of Ottawa. He has performed various top management and management consulting roles throughout his career. The focus of Daniel’s work has been deep learning artificial intelligence, including loan assessment tools, trading algorithms, fraud detection, and biological neural networks (Nuraleve).

Matthew is a senior software and hardware developer with over a decade of experience in the start-up trenches, serving in a series of high-level roles in management and engineering. He has worked for multiple start-ups and brings with him a wide-ranging skillset ranging from PCB design to search and rescue management. His primary focus is on data science, developing machine learning models in the area of predictive analytics.

Dr. Awad received his PhD in Electrical Engineering from the University of Strathclyde in 2013. He has performed various top management roles at Fuel Industries, Next Frontier Digital Investments (NFDI), Ascendancy, and MAS Holding. He has successfully founded and exited multiple high-tech ventures, and has a deep network in both the Middle East and Silicon Valley.

MIoDRAG bolIC, PHDDr. Miodrag Bolic received his PhD degree in electrical engineering from Stony Brook University, USA, in 2004. Since 2004 he has been with the University of Ottawa, Canada where he is a professor with the School of Electrical Engineering and Computer Science. Dr. Bolic’s current research includes biomedical signal processing, instrumentation and machine learning. He is a director of Computational Analysis, Acceleration and Applications Research Group (CARG) and Health Devices Research Groups. He published more than 80 journal papers.

tHE StAllIon AI READInESS ASSESSMEnt (AIRA)

Stallion AI has developed a proprietary methodology, based on deep experience and aligned with global best practices, to assess the artificial intelligence readiness and software development and deployment processes within any enterprise. This assessment serves to establish a customized roadmap for future AI projects, applied research initiatives and integration of intelligent solutions. It helps guide executives on how best to adopt an AI and machine learning innovation culture across one or many government or business units.

This is a crucial step towards AI-driven digital transformation for any large enterprise in the public or private sector.

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Stallion’s AIRA typically takes 2-3 days to conduct (depending on availabilities of client organization personnel), and includes:

the core assessment methodology focuses on these four areas that determine success in AI-driven growth and transformation:

The Stallion AIRA core methodology is based on industry standards and best practices, but the assessment is also adapted to the particular industry sector, mandate and objectives of the client. That is, the Stallion AI Readiness Assessment measures how ready the client organization is to meet their business objectives, not somebody else’s.

A short questionnaire filled out by selected It managers, business process owners and other employees.

leadership, Strategy and Innovation

Platforms

Data Readiness Skills

A report delivered to the client, with analysis and recommendations.

Interviews with selected executives.

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leadership, Strategy and Innovation

Some of the typical issues and types of questions raised in the assessment are outlined below.

What are the organization’s long-term vision, strategic goals and measures of success?

How well are the goals, objectives and metrics communicated throughout the teams?

Is risk-taking encouraged? tolerated?

Is there a project-oriented culture?

Are employees rewarded for invention and innovation? How?

Does the worganization have a digital transformation strategy?

Where are they in the implementation of that strategy?

Platforms

Data Readiness

Skills

Does the organization have an ERP? How sophisticated?

How does the organization use proprietary or 3rd party cloud infrastructure?

What serves as the organization’s compute cluster? Is it adequate to the desired data analysis and AI tasks?

Assess the It and other security mechanisms and protocols – are they adequate?

Is there a data strategy?

Is there an intellectual property strategy that includes protection of data and data products?

Does the organization have proprietary or preferential access to any important data sources?

Data/AI Ethics – Does the organization have clear policies around data governance, privacy, bias, and transparency?

Data science skills – data audits, warehouses, Etl, cleaning, preprocessing, visualization, analytics

Machine learning skills – supervised, unsupervised, reinforcement learning

Programming skills – Python, PHP, RDbMS, noSQl, specialized Ml packages

Project management, It operations and dev ops skills.

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tHE REPoRt

2-Year AI Road MapWithin a few working days of completion of questionnaires and interviews, the Stallion AIRA team delivers its Report and discusses the findings with executives from the client organization.

If desired by the client, the Stallion team can also craft a road map that identifies and helps plan a series of feasible, high-impact AI projects that will further the organization’s strategic and operational goals.

AI Readiness

AssessmentReady to useAI Products

AI Academy(Training)

AIConsulting

Custom AISolutions

The Stallion AIRA Report will provide the client with a clear and actionable understanding of the organization’s strengths, assets, challenges and opportunities for improvement. Visually simple graphics (e.g., “spider charts”) will display the client organization’s AI readiness in key sub-categories of performance. Reference will be made to published industry benchmark data for comparison purposes, where such data exists.

tHE StAllIon AIRA tEAM

the AIRA is designed and managed by Stallion’s technology and client solutions leaders.

These are Ph.D. data scientists, senior engineers and entrepreneurs who together have decades of experience in inventing, developing and commercializing AI solutions as well as in publishing and teaching and in advising government agencies, private enterprises and investors on AI-driven transformation.

Stallion Tech Inc.900 Lady Ellen Place, Suit 114, Ottawa, ON, KIZ 5L5, Canada

Contact: +1 (604) 781 9481

Office # 1104, Executive Tower D (Aspect Tower), Al Abraj Street,

Business Bay, Dubai - UAEContact: +971 44 270774

hello@stallion.ai www.stallion.ai