In this new podcast in English from Data Stand-Up! Jesus talks to Peetak Mitra, Scientist at PARC and member of Core Team at Climate Change AI. Peetak is a Member of Research Staff/Scientist-II at the fabled Palo Alto Research Center (formerly Xerox PARC), located in the heart of Silicon Valley. At PARC, he works on developing novel AI/ML algorithms and impactful technologies across projects in distributed sensor systems (DARPA Ocean-of-Things), predictive maintenance using Internet-of-Things (Novity), climate modeling/policy, and geoengineering (MCB). In addition to his employment at PARC, he is passionate about using my knowledge for mitigating the negative effects of climate change and am associated with the Climate Change AI group as a Core Team member.

In this new podcast in English from Data Stand-Up! Jesus talks to Francesca Gabetti, CEO at Team EQ. Francesca is co-founder & CEO of TeamEQ, the first Human SaaS. A Predictive Team Analytic solution that drives Team Intelligence and real time decision-making . TeamEQ, powered by Machine Learning, increases team’s alignment, engagement & performance at all levels of the organization. The use of analytics in HR is growing, with organizations aggressively building people analytics teams, buying analytics offerings, and developing analytics solutions. Companies are hiring people analytics staff, cleaning up their data, and developing models that help transform.

TeamEQ makes team management smart, data-driven & more effective, through real time management and continuous feedback, transforming companies into high-performance & intelligent living systems. It accelerate digital, agile & cultural transformation, developing new leadership needs with just few minutes of time investment per week.

We hope you like this episode.

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 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 of our Data Stand Up! Podcast, Jesús talks to Vince Petaccio, Data Scientist at Amazon Web Services (AWS) where he develops machine learning tools to identify and mitigate fraud activity. Previously, he worked as a data scientist at Untapt, where he produced deep-learning natural language tools to help job candidates find fulfilling careers while avoiding systemic bias. Prior to this work, he developed real time neural data analysis in brain and spine surgery around New York City and Philadelphia. Vincen studied biomedical engineering – neural engineering at Drexel University and a computer science degree from Georgia Tech.

In this recording we focus on how Vince has become a passionate advocate for action on climate change: he has worked with Citizens’ Climate Lobby since 2016 to advance politically neutral climate policy and to build the political will for climate action, and lends his data science skills to projects seeking to mitigate the climate crisis with novel solutions.

In his own words: “I am passionate about leveraging emerging technologies for the benefit of others. I believe that human ingenuity can, with a bit of imagination and a lot of cooperation, yield practical solutions to challenging problems. My time outside of work is spent passionately pursuing nonpartisan solutions to the global challenge of climate change, feeding my insatiable curiosity, and improving the depth of my knowledge.”

Thanks for sharing your knowledge Vince!

Bedrock is an international Data Science & AI services practice specialising in data-driven business change.

We design and manage tailor-made programs from ideation to execution and ongoing support.

Data Stand-up! is a podcast Produced by our team at our global HQ at LA PIPA Studios that strives to share the knowledge acquired through our extensive experience. Guests to this show join this knowledge transfer by sharing their own experience and knowledge.

Before founding MetaMeta, Scott was the Master Data Market Development and Innovation Lead at Dun & Bradstreet, where he reimagined, redefined and repositioned the company’s master data offering and took the service to a whole new level. He has also worked with some of the world’s most popular data brands including Nielsen, Microsoft, Kantar, NPD and also some start-ups such as Qoints and Spiceworks.

When he is not directly working with businesses to sort out their master data journey, he is busy spreading the word through conferences, speaking events, webinars, podcasts, blogs, and his own YouTube channel.

Here comes the storytelling aspect as you will also need to convince your business leaders and stakeholders on investing in data management. Thanks Scott!

Bedrock is an international Data Science & AI services practice specialising in data-driven business change.

We design and manage tailor-made programs from ideation to execution and ongoing support.

Data Stand-up! is a podcast Produced by our team at our global HQ at LA PIPA Studios that strives to share the knowledge acquired through our extensive experience. Guests to this show join this knowledge transfer by sharing their own experiences, learnings, and achievements with unbelievable generosity.

In this show, Jesús speaks with Alina Timofeeva about her career in consulting, technology and data.

Alina specialises in Cloud & Data and has a successful track record across digital, operational and regulatory projects within significant clients, including JP Morgan, Credit Suisse, HSBC, RBS, Aviva and Nationwide.

A graduate of top universities in the UK and Russia, Alina won the Moscow Mathematics Olympiad, which facilitated full sponsorship for her BSc and MSc in Mathematics.

TechWomen100 and Rising Start have recognised her, and she is on the Makers’ Top 50 Software Powerlist and ComputerWeekly’s Most Influential Women in UK Technology.

She also performs a notable role in inspiring others and giving visibility to women’s work in technology.

In this episode Jesús talks to Muazma Zahid, Senior Software Engineering Manager at Microsoft Azure Global team, where she enables customers to deploy the most demanding Data workloads on Azure. She has been a Data Engineer/Architect and Speaker for over thirteen years working on several Big Data, Cloud Computing, and AI Technologies. She is an active researcher in biomedical engineering and her research software is used in EKG machines all around the world.

Muazma is an advocate of diversity and inclusion. She is President of non-profit organization Pakistani Women in Computing which is on a mission to build a strong global network of Pakistani women in technology and allies to foster the community’s growth through meaningful connections and learning opportunities. She has led several programs for AnitaB.org and currently leads the AnitaB.org Seattle community. She is also a leader at Women Who Code and Women at Microsoft.

Today Jesus chats with Brian, an inspiring professional who really understands the importance of Design when it comes to ideating, creating, and implementing data-fueled solutions and applications.

Brian T. O’Neill is the founder of Designing for Analytics and a true believer in the importance of designing human-tailored data solutions. For over 20 years, he has been successful in creating innovative Advanced Analytical and AI business solutions for global leaders such as DellEMC or Tripadvisor, JP Morgan Chase amongst many others.

Brian and Jesús explore how extraordinary value can be created when the outputs of data science and analytics are turned into engaging, valuable decision support applications and user experiences centered around the stakeholders, as humans, in the loop. The importance of generating adoption when building a data application or business solution is also discussed throughout the call.

Brian also hosts his own podcast: Experiencing Data, where he reveals the strategies and activities that Product, Data Science, and Analytics leaders are using to deliver human-centered data products.

Brian also authored the DFA Self-Assessment Guide, teaches a seminar called Designing Human-Centered Data Science Solutions, and publishes a weekly Insights mailing list. In 2020, Brian began advising students in MIT’s Sandbox Innovation Fund and was published in O’Reilly Media’s 97 Things About Ethics in Data Science Everyone Should Know.
Brian is a classical and jazz musician by training, a professional drummer and percussionist in Boston.

Listen to this episode to discover if Brian´s creative musical background has something to do with his “Design mindset” for Advanced Analytics and AI solutions.

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.