In this episode, Jesús talks to Mihaela Rosca, Research Engineer at Deepmind. Previously she was a Software Engineer at Google Zurich, working on NLP using neural networks. She is a third year PhD student at UCL under the supervison of Prof. Marc Deisenroth and she finished her 4 year Computing MEng degree from Imperial College London in 2014, with first honours and a prize of excellence for an outstanding overall performance.

Her Professional Interests are: Generative models, reinforcement learning, natural language processing, scalable and safe machine learning. More broadly, she is interested in anything related to learning probability distributions.

Bedrock is a boutique Data Science & AI practitioner and our podcast “Data Stand-up” is aimed to spread scientific knowledge and technical expertise relating to our work with clients. All guests contribute to this knowledge exchange by also sharing their own experiences, learnings, and achievements.

Bedrock is an independent Data Science & AI practitioner and our podcast Data Stand-up! is aimed to spread scientific knowledge and technical expertise relating to our work with clients. All guests contribute to this knowledge exchange by also sharing their own experiences, learnings, and achievements.

In this new episode, Jesús talks to Ganes Kesari, Co-founder and Chief Decision Scientist at Gramener. He is an entrepreneur, AI thought leader, author, and TEDx speaker. Ganes advises executives of large organizations on data-driven decision making. His expertise lies in the application of data science to solve business challenges, and in building teams to promote a culture of data.

“I advise executives of enterprises and the leadership of NGOs and Governments on organizational transformation using data science. I specialize in building data science teams and helping firms adopt a data culture. Starting my career in technology consulting, I spent a decade helping Fortune 50 clients use technology to enable and transform their business. My tryst with data happened about a decade back when I co founded Gramener.

It has been an enriching journey at Gramener so far. I experimented with the practical aspects of startup building and have been observing how our culture continues to evolve.
Advising businesses on the application of data science I’ve been deepening my skills in data analytics, machine learning and information design. I’m fascinated by the big-picture view and complement it by hands-on execution with attention to details.

So, I’ve spent a lot of time strategizing and laying out the direction for Gramener. And, I’ve been leading from the front by executing the strategy – building teams and delivering value to clients.
I take exceptional interest in discovering deeper patterns, simplifying things and presenting information visually. I challenge myself to explain AI and technology without math or jargons. I rejoice whenever I manage to design visual stories that distill complex insights into a single sheet of paper.”

Thanks for sharing your knowledge Ganes!

Bedrock´s Jesus chats to Kirk Borne, Data and Artificial Intelligence pioneer, voted most influential personality in the industry, across the globe. Kirk has ranked Nº1 Digital, Data Science, and Artificial Intelligence influencer globally.

He holds a degree in Physics and Ph.D. in Astronomy, and from 1985 through 1995 worked at NASA’s Hubble Space Telescope (HST).

He has provided advice to NASA management in the design and development of HST systems and has extensively contributed to the international community promoting astrostatistics and astroinformatics as robust research disciplines.

In 2020, Kirk was elected Fellow of the American Astronomical Society for lifetime contributions to astronomy and the public’s understanding of the Universe.

In this episode, Kirk explains how to find business solutions through data and shares his views with Jesus on the most efficient ways to accelerate value creation and innovation with data technologies.

Listen to this episode to learn about his experience across dozens of advanced analytics use cases and business areas including customer engagement and behavioural analytics, risk mitigation, fraud detection, anomaly detection, and many more using machine learning, data management, graph analytics, predictive and prescriptive analytics, and geospatial-temporal modelling.

En esta séptima llamada del podcast de Data Stand-Up Luisma conversa con Daniel Arribas-Bel, Crew Member en Geographic Data Science Lab, que plantea soluciones a problemas de naturaleza geográfica como:

– Cómo podemos mitigar el impacto humano del cambio climático.
– Garantizar la seguridad alimentaria y del agua mundial.
– Diseñar sistemas de energía que sean resilientes en el contexto de la dinámica de población futura.
– O ¿cómo se podrían erradicar las desigualdades espaciales en salud y bienestar?

El creciente volumen de datos sobre la forma, función y dinámica de las actividades humanas y sus contextos está brindando nuevas oportunidades para avanzar en estos debates. Sin embargo, el proceso de convertir estas nuevas formas de datos en información es un desafío.

Daniel estudió en la Universidad de Zaragoza (Económicas) haciendo también en esta universidad y posteriormente hizo distintas estancias fuera de España profundizando en el ámbito de la Economía Espacial. Tanto en la Universidad de Vu en Holanda como en otras instituciones.

Ha sido nombrado “Spatial Data Scientist of the Year Award” por Carto en la Conferencia Spatial Data Science 2020.

Daniel ha publicado también libros especializados. Es-Co-editor de “Environment and Planning B – Urban Analytics and City Science” publicado en 2019 y también colabora desde 2020 como Editor Asociado con el “Journal of the Royal Statistical Society Series A – Statistics in Society”.

En esta tercera llamada del podcast de Data Stand-Up Luisma conversa con Xosé Fernández, Chief Data Officer en el Institut Curie en París (Francia) sobre la posición que ocupa en esta prestigiosa institución y su trayectoria en el mundo del dato.

Biólogo y doctorado por la Universidad de Oviedo, especializado en genética, con más de 20 años de experiencia en investigaciones médicas ha desarrollado gran parte de su carrera en Cambridge – Reino Unido hasta que hace tres años tiene la oportunidad de empezar a trabajar en el Institut Curie, uno de los centros líderes de investigación médica, biológica y biofísica en el mundo. Es una fundación privada sin fines de lucro que opera un centro de investigación sobre biofísica, biología celular y oncología, y un hospital especializado en el tratamiento para el cáncer.

Xosé lidera el equipo de datos de esta institución, formado por 12 profesionales, después de trabajar en distintos laboratorios como Novartis, Bayer o Thermo Fisher Scientific.