Adam Sroka

Data & AI Director

Hypercube Consulting

Chief Executive Officer

Director

The Data Lab - Innovation Centre

The Innovation Advisory Board is responsible for advising on innovation and collaborative project activity for The Data Lab – Scotland’s Innovation Centre for Data and AI.

Innovation Advisory Board Member

Origami

Head of Machine Learning Engineering

Incremental Group

Senior Data Scientist

Sure Thing! Insurance

Data Scientist

Clear Returns

Thales

Research Engineer

I build data and AI platforms for the energy sector | Director at Hypercube Consulting

Dr Adam Sroka is a Co-founder and CEO at Hypercube Consulting, a firm that helps organisations unlock value from data by delivering enterprise-scale solutions and building high-performing data and analytics teams from the ground up. With over 10 years of experience in data science, machine learning, and artificial intelligence, Adam is a recognised expert and speaker in his field.

Adam's mission is to bridge the gap between technology and business, and to enable data-driven innovation and transformation across various industries. He shares his insights and best practices through his blog, podcast, and tech community events, where he showcases his approaches and systems for effective communication, engineering discipline, and experimentation. Adam is passionate about helping organisations and data professionals maximise their potential and impact with data and AI.

Presight

As the Director of AI, I architect and execute Presight's enterprise-wide AI strategy, driving innovation and ensuring the responsible adoption of cutting-edge technologies. My focus is on transforming our business by leveraging Generative AI to create tangible value and a sustainable competitive advantage.

My core responsibilities include:
- 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝗶𝗻𝗴 and executing the corporate AI roadmap to align with strategic business objectives.
- 𝗦𝗽𝗲𝗮𝗿𝗵𝗲𝗮𝗱𝗶𝗻𝗴 the development and deployment of high-impact, responsible Generative AI solutions.
- 𝗟𝗲𝗮𝗱𝗶𝗻𝗴 the end-to-end delivery of complex enterprise AI products and platforms.
- 𝗘𝘀𝘁𝗮𝗯𝗹𝗶𝘀𝗵𝗶𝗻𝗴 𝗿𝗼𝗯𝘂𝘀𝘁 𝗔𝗜 𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 frameworks to ensure ethical use, compliance, and risk mitigation.
- 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗮𝗻𝗱 𝗺𝗲𝗻𝘁𝗼𝗿𝗶𝗻𝗴 high-performing, multidisciplinary AI/ML teams.
- 𝗣𝗮𝗿𝘁𝗻𝗲𝗿𝗶𝗻𝗴 with executive leadership to embed AI capabilities across all business functions.
- 𝗗𝗿𝗶𝘃𝗶𝗻𝗴 𝗰𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 by identifying emerging AI trends and forging strategic partnerships.

Director AI (Government, Finance and Energy)

As a Principal Data Scientist, I led the design and execution of advanced AI solutions, translating complex business challenges into high-impact machine learning, deep learning, and Generative AI models.

Key responsibilities included:

- 𝗗𝗲𝘀𝗶𝗴𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗶𝗻𝗴 sophisticated AI/ML algorithms and scalable models to solve critical business problems.
- 𝗗𝗿𝗶𝘃𝗶𝗻𝗴 𝗰𝗿𝗼𝘀𝘀-𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 with product, engineering, and business teams to deliver customer-centric AI products.
- 𝗟𝗲𝗮𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗲𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗔𝗜 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆, from conceptualization and research to deployment and performance monitoring.
- 𝗖𝗵𝗮𝗺𝗽𝗶𝗼𝗻𝗶𝗻𝗴 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝗲 𝗔𝗜 𝗽𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲𝘀 by embedding ethical considerations, transparency, and fairness into the core of all AI initiatives.

Principal Data Scientist

Led a team of data scientists and machine learning engineers at Presight, developing AI solutions within the Security domain. Specialized in Natural Language Processing (NLP), Knowledge Graph construction, and Computer Vision. Responsibilities included project planning, model development, team management, and aligning data science initiatives with organizational goals.

Lead Data Scientist

Forbes Technology Council

Selected as an Official Member of the Forbes Technology Council, an invitation-only community for world-class CIOs, CTOs, and senior technology executives. In this role, I collaborate with industry leaders on emerging trends in AI, cloud computing, and digital transformation. Contributions include participating in expert panels published on Forbes.com, networking at exclusive events, and sharing insights to advance the technology sector.

Leveraging my background in generative AI and machine learning to contribute to council discussions.

Technology Council Member

AiExponent

AiExponent empowers engineers, data scientists, business leaders, and startup founders to master AI and drive transformative innovation. Our platform blends expert 1-on-1 mentorship, insightful blog posts, and a vibrant community to accelerate AI adoption and product development. Join us in harnessing the power of Artificial Intelligence for sustainable and Responsible AI Adoption.

Founder

Digital Data Design (D^3) Institute at Harvard

The Digital Data Design Institute at Harvard (D^3) is a global research center that provides research-driven insights, accessible to anyone in the world, on using AI and digital technologies to advance business and society. Founded on the premise that AI technology is only half of the answer and that businesses must also revamp their processes to harness AI's potential, D^3 is made up of an unbiased, multidisciplinary team of researchers and scientists, business leaders, and entrepreneurs.

I am thrilled to be part of the AI Elevate Conference Steering Committee, with leading industry and academic luminaries, bringing to life "AI Elevate: From Readiness to Exponential Growth" Conference on Dec 13, 2024 in Dubai, UAE!

AI Elevate Conference Steering Committee Member

HeartRhythm

HeartRhythm: This groundbreaking Android application blends the power of wearable sensor data and advanced artificial intelligence to predict and alert you of any discrepancies between your physical activity and heart function. Ensuring your well-being, HeartRhythm is your proactive partner that acts in real-time to detect irregularities, potentially saving your life.

Co-Founder

American Express

✪ Spearheaded the ideation, user research, prototyping, technical development, and successful launch of MARS into production.
✪ Established key metrics to assess revenue recovery and analyzed metrics to identify the cooling-off period for various false positives cases.
✪ Conceived hybrid ML approach utilizing manual labeling, Regression, KNN, and Time-Series modeling.
✪ Enabled USD 600 million in revenue reversal (Q1) by developing a Merchant anomaly detection system.
✪ Liaised with the Social Media Servicing Team as part of SentiNail product ideation and execution in the Chief Information Officer's office.
✪ Led and inspired a team of 7 engineers while working with other functional representatives to deliver the end-to-end product quickly and effectively.

Lead Machine Learning Engineer

Samsung Electronics

✪ Spearheaded API Engineering & back-end service delivery and coordinated REST API development for cloud applications
✪ Received the 'Excellence Spot Award' thrice at Samsung

Technical Lead

✪ Lead Engineer Tizen Context Framework

Lead Engineer

✪ Developer at Tizen Framework Team For System module

Senior Software Engineer

Nokia

✪ Developed & released open-source contribution to KOffice/Calligra repository extension for acceptance by the community owner
✪ Enabled editing feature in Office Tools product of MeeGo OS via C++ & QT while functioning in a multi-location team

Developer

Intern

International Institute of Information Technology – Bangalore

Teaching assistant For 
1. Software Engineering - Prof K V Dinesha
2. Computer Networks - Prof Debbrata Das

Teaching Assistant

Sharda University

Lecturer, in various engineering college in Sharda Group

- Anand Engineering College, Agra
- HCST, Agra
- HIT, Greater Noida

Subjects Taught:

-  Digital Electronics
-  Introduction to Computer Science

Lecturer

As a Senior AI Business Leader with over 20 years of experience at the intersection of technology and enterprise strategy, I've dedicated my career to a single mission: 𝘁𝗼 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 𝗮 𝗵𝘂𝗺𝗮𝗻-𝗰𝗲𝗻𝘁𝗿𝗶𝗰 𝗔𝗜 𝗳𝘂𝘁𝘂𝗿𝗲.

I believe the greatest challenge for modern leaders is not just implementing AI, but doing so responsibly, sustainably, and in a way that creates tangible business value. I thrive on demystifying the complexities of technologies like Generative and Agentic AI and building the strategic frameworks that empower organizations to lead with confidence.

Having led large-scale digital transformations for global enterprises and mentored winning startups in the Stanford ecosystem, I bring a unique, "in-the-trenches" perspective to my work.

My professional life is built on two core pillars:
𝟭. 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽:
In my role at G42, I lead the end-to-end delivery of complex AI products and platforms, build and mentor high-performing AI/ML teams, and partner with executive leadership to embed AI capabilities across all business functions.
𝟮. 𝗧𝗵𝗼𝘂𝗴𝗵𝘁 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 & 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 (𝗔𝗜𝗘𝘅𝗽𝗼𝗻𝗲𝗻𝘁):
Beyond my corporate role, I am passionate about giving back to the global AI ecosystem.I partner with leaders and founders in four key ways:
➔ 𝗕𝗼𝗮𝗿𝗱 & 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗔𝗱𝘃𝗶𝘀𝗼𝗿𝘆: Providing independent, expert counsel to boards and C-suite leaders on AI strategy, governance, and risk oversight.
➔ 𝗔𝗜 𝗦𝘁𝗮𝗿𝘁𝘂𝗽 𝗠𝗲𝗻𝘁𝗼𝗿𝘀𝗵𝗶𝗽: Guiding ambitious founders from idea to impact through my 1-on-1 mentorship program and affiliations with Stanford's LISA and SEED Spark programs.
➔ 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝗖𝗼𝗮𝗰𝗵𝗶𝗻𝗴: A confidential partnership for senior leaders looking to sharpen their strategic acumen and drive transformational change.
➔ 𝗦𝗽𝗲𝗮𝗸𝗶𝗻𝗴: Delivering engaging keynotes and workshops that translate complex AI concepts into actionable business insights.

𝗠𝗬 𝗘𝗫𝗣𝗘𝗥𝗧𝗜𝗦𝗘 𝗜𝗡𝗖𝗟𝗨𝗗𝗘𝗦:
▸ Generative & Agentic AI
▸ Responsible & Sustainable AI
▸ AI Strategy & Governance
▸ Digital Transformation
▸ Executive Leadership & Coaching

𝗠𝗬 𝗔𝗙𝗙𝗜𝗟𝗜𝗔𝗧𝗜𝗢𝗡𝗦:
I am honored to contribute to the global technology ecosystem as a:
➔ HBS Advisory Council Member
➔ MIT Technology Review Committee Member
➔ Stanford University Coach (LISA & SEED Spark)
➔ Forbes Technology Council Member
➔ IEEE Senior Member
➔ OneLeague Global Mentor

Let's connect. I'm always open to discussing how we can build the future of AI, together.

Ajay Pundhir

𝗖𝗼𝘂𝗻𝘁𝗲𝗿𝗶𝗻𝘁𝘂𝗶𝘁𝗶𝘃𝗲: 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗶𝘀 𝘁𝗵𝗲 𝘀𝗽𝗲𝗲𝗱 𝗺𝘂𝗹𝘁𝗶𝗽𝗹𝗶𝗲𝗿 𝗶𝗻 𝗔𝗜.

Over the last 30 days on 6 stages, from founders at Stanford Seed Spark, to leaders at Decoding Data Science, Kent Consulting & Events & Dubai CommerCity, a sharp crowd at Aicorespot, and Global cohort of Experienced leaders at One League fireside chat—the same questions kept surfacing: How do we move fast without breaking trust? Where’s the real moat when everyone has the same models?

Here are the 𝘀𝗵𝗮𝗿𝗽𝗲𝘀𝘁 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀 I shared on stage:

- 𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗱𝗲𝗯𝘁 𝗰𝗼𝗺𝗽𝗼𝘂𝗻𝗱𝘀 𝗳𝗮𝘀𝘁𝗲𝗿 𝘁𝗵𝗮𝗻 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗱𝗲𝗯𝘁—you can refactor code, not a lost reputation.

- 𝗧𝗿𝘂𝘀𝘁 𝗣𝗿𝗲𝗺𝗶𝘂𝗺 𝗶𝘀 𝘁𝗵𝗲 𝗺𝗼𝗮𝘁: it shows up as faster enterprise access, lower CAC, higher win-rates.

- 𝗠𝗶𝗻𝗶𝗺𝘂𝗺 𝗩𝗶𝗮𝗯𝗹𝗲 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 (MVG-4): Govern, Map, Measure, Manage—isn’t paperwork; it’s product infrastructure.

- 𝗔 𝟵𝟬-𝗱𝗮𝘆 𝗔𝗔𝗔 𝗰𝗮𝗱𝗲𝗻𝗰𝗲: Assess, Align, Assure—gets you out of pilot purgatory and into production.

I’ve distilled the month’s conversations into a concise reflection for founders and operators who want speed with accountability.

👉 Read the full reflection (link below).

#AI #ResponsibleAI #Startups #Governance #Leadership #Strategy #MachineLearning #Ethics #Trust #EthicalDebt #UAE #GCC AiExponent Stanford LEAD Stanford University Graduate School of Business Digital Data Design Institute at Harvard (D^3) HBS Club of the GCC Hub71 Presight G42 HUMAIN International Institute of Information Technology Bangalore Zehra Fattah Dr. Jassim Al Awadhi (PhD, EMBA) Mohammad Arshad Israa Fahmy Umaimah Mendhro Rayan Fouad Azab, MBA Martin Yates Shibani Suri Helen Wang Genan Wishah Yasmin Al Enazi Forbes Forbes Technology Council Fast Company Middle East

Over the past month I’ve had the privilege to be in the room with founders at Stanford SEED Spark (two sessions), operators and data leaders at Decodi

Open article: What the Last 30 Days on Stage Taught Me About AI Startups and Governance by Ajay Pundhir • 6 min read

What the Last 30 Days on Stage Taught Me About AI Startups and Governance

Here’s the core message of  𝗺𝘆 𝗻𝗲𝘄 𝗙𝗼𝗿𝗯𝗲𝘀 𝗽𝗶𝗲𝗰𝗲: 

𝗔𝗜 𝗶𝘀 𝗺𝗮𝗸𝗶𝗻𝗴 𝗿𝗮𝘄 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗮𝗯𝘂𝗻𝗱𝗮𝗻𝘁; 𝘀𝗼 𝗵𝘂𝗺𝗮𝗻 𝗷𝘂𝗱𝗴𝗺𝗲𝗻𝘁 𝗶𝘀 𝗯𝗲𝗰𝗼𝗺𝗶𝗻𝗴 𝘁𝗵𝗲 𝘀𝗰𝗮𝗿𝗰𝗲𝘀𝘁, 𝗺𝗼𝘀𝘁 𝘃𝗮𝗹𝘂𝗮𝗯𝗹𝗲 𝗮𝘀𝘀𝗲𝘁. The real opportunity isn’t to replace judgment, but to scale it through system design and governance.

𝗧𝗵𝗿𝗲𝗲 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀 𝗳𝗼𝗿 𝗹𝗲𝗮𝗱𝗲𝗿𝘀:

𝟭. 𝗧𝗿𝗲𝗮𝘁 𝗷𝘂𝗱𝗴𝗺𝗲𝗻𝘁 𝗮𝘀 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: Map where human calls create outsized value (ambiguity, accountability, extreme events) and design the product around those seams.

𝟮. 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹𝗶𝘇𝗲 “𝗷𝘂𝗱𝗴𝗺𝗲𝗻𝘁-𝗶𝗻-𝘁𝗵𝗲-𝗹𝗼𝗼𝗽”: Define decision rights, escalation thresholds, and auditability so expert calls are captured, reused, and improved—not lost in the moment.

𝟯. 𝗠𝗲𝗮𝘀𝘂𝗿𝗲 𝘁𝗿𝘂𝘀𝘁, 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝘁𝗵𝗿𝗼𝘂𝗴𝗵𝗽𝘂𝘁: Track metrics like Time-to-Trust, exception quality, and reversal rates to ensure speed never erodes reliability.

If you lead AI at scale, your mandate isn’t automation; 𝗶𝗻𝘀𝘁𝗶𝘁𝘂𝘁𝗶𝗼𝗻𝗮𝗹 𝗷𝘂𝗱𝗴𝗺𝗲𝗻𝘁.

Read the full article: https://lnkd.in/drhuYPsC

#AI #ResponsibleAI #AgenticAI #AILeadership #Governance #MENA #UAE AiExponent Forbes Forbes Technology Council G42 HUMAIN Presight Stanford University Graduate School of Business Stanford LEAD Maria Dahrieh One League Digital Data Design Institute at Harvard (D^3) HBS Club of the GCC Debbie Botha Decoding Data Science Thomas Pramotedham Andrew Jackson, PhD Martin Yates

Open article: Why AI Makes Human Judgment Priceless—And How To Scale It by forbes.com

Why AI Makes Human Judgment Priceless—And How To Scale It

AI isn’t a tech problem. It’s a human and leadership problem.

Where do you still treat AI as “IT / Engineering project” instead of a leadership responsibility?

#AI #Ehics #AILeadership #ResponsibleAI #Business #Strategy #GCC #MENA AiExponent Wes Ezzeddine AI Safety UAE Stanford LEAD HBS Club of the GCC One League G42 Presight HUMAIN Dubai Holding Kent Consulting & Events

𝗖𝗮𝗻 𝗮𝗻 𝗮𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺 𝗵𝗼𝗻𝗼𝗿 𝗮 𝘀𝗼𝗰𝗶𝗮𝗹 𝗰𝗼𝗻𝘁𝗿𝗮𝗰𝘁?

I recently weighed in on this question for Forbes Technology Council, alongside other tech leaders, 𝗮𝗻𝗮𝗹𝘆𝘇𝗶𝗻𝗴 𝗔𝗹𝗯𝗮𝗻𝗶𝗮’𝘀 𝗻𝗲𝘄 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗴𝗼𝘃𝗲𝗿𝗻𝗺𝗲𝗻𝘁 𝗺𝗶𝗻𝗶𝘀𝘁𝗲𝗿, "𝗗𝗶𝗲𝗹𝗹𝗮."

My stance is clear: "𝘛𝘩𝘦 𝘱𝘳𝘪𝘮𝘢𝘳𝘺 𝘳𝘪𝘴𝘬 𝘪𝘴𝘯'𝘵 𝘫𝘶𝘴𝘵 𝘵𝘦𝘤𝘩𝘯𝘪𝘤𝘢𝘭; 𝘪𝘵'𝘴 𝘱𝘩𝘪𝘭𝘰𝘴𝘰𝘱𝘩𝘪𝘤𝘢𝘭. 𝘙𝘦𝘱𝘳𝘦𝘴𝘦𝘯𝘵𝘢𝘵𝘪𝘷𝘦 𝘥𝘦𝘮𝘰𝘤𝘳𝘢𝘤𝘺 𝘳𝘦𝘭𝘪𝘦𝘴 𝘰𝘯 𝘵𝘩𝘦 𝘢𝘣𝘪𝘭𝘪𝘵𝘺 𝘰𝘧 𝘤𝘪𝘵𝘪𝘻𝘦𝘯𝘴 𝘵𝘰 𝘩𝘰𝘭𝘥 𝘭𝘦𝘢𝘥𝘦𝘳𝘴 𝘢𝘯𝘴𝘸𝘦𝘳𝘢𝘣𝘭𝘦. 𝘠𝘰𝘶 𝘤𝘢𝘯𝘯𝘰𝘵 𝘷𝘰𝘵𝘦 𝘢𝘯 𝘢𝘭𝘨𝘰𝘳𝘪𝘵𝘩𝘮 𝘰𝘶𝘵 𝘰𝘧 𝘰𝘧𝘧𝘪𝘤𝘦, 𝘢𝘯𝘥 𝘺𝘰𝘶 𝘤𝘢𝘯𝘯𝘰𝘵 𝘩𝘰𝘭𝘥 𝘤𝘰𝘥𝘦 𝘮𝘰𝘳𝘢𝘭𝘭𝘺 𝘳𝘦𝘴𝘱𝘰𝘯𝘴𝘪𝘣𝘭𝘦."

Outsourcing political decisions to AI doesn't just change the medium of governance; it fundamentally alters the legitimacy of power.

Check out the full article to see how different experts view this shift: 
https://lnkd.in/d4-73CMp 

#ArtificialIntelligence #GovTech #AIStrategy #Leadership #Forbes #Presight AiExponent HBS Club of the GCC AI Safety UAE Decoding Data Science Stanford LEAD Stanford University Graduate School of Business Turing AI G42

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