Borba Consulting

Borba Consulting is a technology, innovation and digital transformation company. We help organizations solving complex challenges with data, developing strategies to plan and implement innovative solutions using data management, data integration, data quality, data science, data engineering, big data, analytics, artificial Intelligence (AI), machine learning, deep learning, robotic process automation (RPA), business intelligence and advanced analytics.

I also provide content creation and engagement for brands, in English and Portuguese: social media promotions, eBooks, articles, training, lectures, videos, podcasts, webinars, papers, workshops, panels, participation and promotion of events.

Founder and Principal Consultant

Boulder BI Brain Trust

The Boulder BI Brain Trust (BBBT) is a gathering of leading consultants and analysts in Business Intelligence, Big Data, Analytics, Data Science and Artificial Intelligence who meet with interesting and innovative companies. We not only get briefed on the latest news and releases but also share our ideas with the vendor on where the industry is going and advise the vendor on their marketing direction and messaging. Founded by Claudia Imhoff and located in Boulder, Colorado, USA.

Member

Product School

Lectures on Analytics, Data Science and Artificial Intelligence Applied to Product Management.

Featured Speaker

AX4B Enterprise Solutions

Data-driven, Analytics, Big Data, Data Management, Data Science, Business Intelligence and RPA solutions.

Consulting Partner

BiosisHub

Mentoring in Analytics and Artificial Intelligence at Biosis, a startup hub for health, life sciences, medicine and biotechnology.

Mentor

aion.ai

Co-Founder and CTO

Spark Science & Information

Spark is a company specialized in "All Things Data": Big Data, Analytics, Data Science, Machine Learning, Artificial Intelligence, Business Intelligence, Data Mining, Data Architecture, Data Warehouse, Data Visualization, Data Modeling, Data Governance, Data Quality and Data Integration. 
As CTO, my main roles are: 
- drive the company’s technology vision.
- provide strategic consulting and implementation service,  with focus on delivering high value-added solutions for businesses.
- definition of architectures, tecnologies, products and solutions.
- research of emerging technologies.

Some of our customers:
- FCA - Fiat Chrysler Automobiles 
- Johnson & Johnson (Healthcare)
- MRV Engenharia (Construction)
- CSU CardSystem (Finance)
- Vale (Mining)
- INDI (Government)
- ArcelorMittal (Steel)
- Jamef (Transportation)
- AngloGold Ashanti (Gold Mining)
- Algar (Technology)

CSU BR

Analytics Consulting Partner

HNI Corporation

Business Intelligence and Performance Management Consulting Partner

Helping companies transform their business with data

Consultant, data expert. Over 20 years of experience managing, designing, developing and implementing data-driven solutions for companies in a wide range of sectors, including technology, finance, mining, healthcare, construction, steel, manufacturing, government, energy and automotive.

Some companies I've worked for: 
AWS, Johnson & Johnson, SAP, Microsoft, Siemens, IBM, Tibco, Unisys, Microstrategy, Hewlett Packard Enterprise (HPE), Boston Consulting Group (BCG), Gerdau, CSU Cardsystem, HNI Corporation, CEMIG, ArcelorMittal, MRV, Vale, INDI, Fiat Chrysler Automobiles (FCA).

I also provide content creation and engagement for brands, in English and Portuguese: social media promotions, eBooks, articles, training, lectures, videos, podcasts, webinars, papers, workshops, panels, participation and promotion of events.

Some publications/events in which I had the honor to participate:
- AWS eBook - A Practical Guide to Using Third-Party Data in the Cloud - bit.ly/3mVauCT
- Siemens - Accelerate your digital transformation - bit.ly/4egfMku
- Microstrategy eBook - 10 Enterprise Analytics Trends to Watch -bit.ly/3RihGYa
- SAP - SAPPhire Now: Technology and Innovation with Purpose - bit.ly/3XeZSRv

LLMs operate at a scale and complexity that fundamentally challenges existing approaches to model interpretability. These systems comprise hundreds of billions of parameters that interact in highly nonlinear ways that resist straightforward interpretation. Our ability to explain how it works has not kept pace.This problem is particularly acute with Generative AI (#GenAI) and large language models (#LLMs), creating significant challenges for organizations seeking to scale these technologies safely and take on more impactful, complex and potentially riskier business solutions. Solving the interpretability challenge has become critical for unlocking #AI’s potential in operational performance, risk management, and regulatory compliance. Organizations that proactively prepare for this challenge will be better positioned to harness AI’s transformative potential and deliver scaled solutions, while managing associated risks.

Report: Looking inside the LLM - Tackling the interpretability challenge of Generative AI by Deloitte 

Harold Kevin Antonio Sally Hanadi Peggy Dr Ludmila Elitsa Danielle Helen Yves Katarina Dr. Debashis Fernando Flávio Leonardo Daniel Rommel Rodrigo Bruno Shyam Amitav Joseph Catherine Tim Sarah Dr. Monika Dr. Khulood Antonio Linda Nicolas Bill Eveline Franco Prof. Dr. Diego Prof. Dr. Ingrid Aghiath Orlando Dr. Marcell

Marcus Borba

Data & AI expert | Helping companies transform their business with data

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