Knowledge, Insight & Research to Prepare for an AI-Powered Future

Who We Are

We are a team of experts with extensive hands-on experience of improving business using AI, data & digital technology. We’re supported by a network of individuals & partners whom we call upon for extra capacity or specialist skills.

We Know What We’re Talking About &
We Walk the Talk

Our leadership team averages over two decades of professional experience each. And everyone in the organisation has worked and studied in relevant disciplines.

This includes working with and for technology heavyweights, such as Google, Amazon, Microsoft, Accenture, Infosys and Wipro. Our academic & professional education has been with institutions of equivalent academic stature in the UK, India and USA.

Each of us brings a strong track record of achievement in our chosen field.

When we need to ramp up our teams, we call upon a global network of experienced data scientists, consultants, technical specialists and developers. We also build strong relationships with researchers, product vendors and complementary services firms.

Anyone you work with from AI Prescience will have the right skills and experience for the tasks at hand. They will bring pragmatism, and relentless focus on results, quality & business value.

Money Is Inevitably Important,
But Other Things Drive Us

We are privately owned and funded, with no external financial pressures. So our decisions & priorities aren’t driven or constrained by investors’ growth or margin targets.

Our only financial goal is to run a healthy, sustainable business. We believe how we behave when making our money is as important as how much we make. Among other things, this means treating our clients, employees, partners and suppliers with fairness, respect & integrity. You can find out more about what this means for you here.

We believe we’ll achieve our non-financial goals by being uncompromising about doing high quality work that delivers demonstrable business value. And being honest when we face problems.

But it’s not just any business we’re building – it’s an AI business. We’re all fascinated by the power of data, the evolution of technology and the emergence of artificial intelligence.

We are optimistic about the opportunities but concerned about the challenges – or rather, how people will respond to them. We’re in equal parts excited and apprehensive about what AI is doing to the world around us.

We’ve created AI Prescience because we’d like to play our small part in shaping how the world learns to use and live with Artificial Intelligence.

The Team

Was Rahman, Co-Founder & Chief Executive

A technology professional, entrepreneur & consultant, with global experience in data, analytics & AI. Impeccable academic & professional education credentials in AI-relevant fields from institutions including Oxford & Stanford.

Was is a technology consultant, entrepreneur & published author, with many years of global experience in the fields of data, analytics and AI. He is currently based in London.

He has worked with enterprises, startups and governments. His career includes leadership positions in global technology firms including Accenture, Infosys and Wipro. He has also been an advisor on the Global Technology Industry for the UK Government, and briefed political leaders from the UK & India on technology policy matters.

His academic credentials include qualifications in physics & computer science from Oxford & Coventry Universities. His AI and data science education is courtesy of Stanford, Johns Hopkins, Amazon and Google among others. Was has taught classes at the Saïd Business School, Oxford, Judge Business School, Cambridge and IIT Madras.

Was is an experienced public speaker, and has chaired numerous international conference sessions. He has been invited to speak at events organised by institutions including the IoD, NASSCOM, the Financial Times and the Governments of India and the UK. He has participated in & helped organise high profile international events, including the inaugural WEF Young Global Leaders Forum, and the official launch of Tech City.

Priya Kurien, Co-Founder & Advisor

A technology consulting leader, with 20+ years’ global experience delivering complex IT to transform businesses. She is at Accenture Technology, solving data, business intelligence & complex technology problems.

Priya is a technology consulting leader, with 20+ years’ global experience delivering complex IT to transform businesses. Now London-based, she works for Accenture Technology, in their telecoms, media & technology business.

Her primary focus is data, business intelligence & technology architectures. She has particular interest in integrating complex cloud and on-premise systems, particularly those with legacy applications.

Priya has spent her career working directly with CIOs & IT executives, and has earned a reputation for finding solutions where others have given up. She’s worked with some of the biggest tech names, including a few when they were starting out.

An accomplished author and speaker, she has published journal papers on technology and strategy, and a book on the history and evolution of IT services.

Priya has a Masters degree in Information Systems & numerous technology and consulting certifications. An accredited CMM assessor, she was part of the team that led Infosys to CMM levels 4 and 5 in its early days.

Nivedita Chandrasekar, Advisor

A seasoned technology professional, with a career primarily with US corporates. She is at Google in Silicon Valley, working in Data Insights. Her speciality is data and business intelligence.

Nivi is based in Silicon Valley, leading a Data Insights team at Google. A seasoned technology professional, she has spent most of her career working with enterprises in the US.

Her area of speciality is data and business intelligence. She has particular interest and expertise in conceiving, designing and building analytics dashboards.

An engineer by education, Nivi has worked extensively in the US and European financial services industry. She also spent time at Infosys in Bangalore, where she developed hypothesis-driven tools at the Infosys Research Labs.

Before joining Google, Nivi enjoyed success at Credit Suisse, where she received various awards and commendations. These included the “Americas Rising Star Award” and the “CFO Award for Global Impact”.

Ashwin Kurien, Data Science & Research Lead

Ashwin is an accomplished Data Scientist, with deep expertise in creating prediction & causal inference models. He has an MPhil in Applied Economics, including work on interest & inflation rate forecasting.

Ashwin specialises in finding novel ways of applying data science and statistics techniques such as Monte Carlo modelling and Bayesian statistics to address complex problems. This has included creating more accurate approaches to predicting interest rate changes.

He holds three degrees in Economics and Applied Economics. His research work includes sophisticated analysis and modelling of the macro-economic factors affecting inflation. He is currently based in Kerala, India.

Beyond his academic achievements, Ashwin has applied his data science expertise to address needs of private and public sector organisations. Examples cover Banking, Retail, Social Media, Sentiment Analysis and Natural Language Processing. His biggest strength is creating advanced and complex analytics models.

He is particularly interested in the inherent conflicts between causal inference (understanding from data why things have happened) and predictive analytics (understanding from data what will happen in the future).

Roshan Benefo, Data & Research Analyst

Roshan is studying Engineering & Management at the University of Pennsylvania & the Wharton School. He is experienced in a variety of Machine Learning & Data Science technologies, and has worked in startup and enterprise environments.

Roshan is well versed in a number of data technologies, techniques and languages. He is adept in Python and R, including machine learning and visualisation extensions such as scikit-learn. He also has experience of data sourcing, cleansing and loading.

His work experience includes projects for investors and entrepreneurs, as well an internship at a major financial institution. The majority of this experience has involved data analysis, machine learning and data engineering.

He has an avid interest in aerospace engineering. He has already designed and built his first UAV, including a robot operating system based autopilot system.

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