Data+AI - Humanised Intelligence [Eng]

New podcast from Data Stand-Up! Jesus talks to Lisa Thee, CEO at AMP Solutions LLC.

Lisa Thee leads Launch Consulting’s Data for Good practice, helping the world’s most innovative healthcare, and global technology companies to improve digital safety, anti-toxicity, and apply AI/machine learning for innovation.

As an entrepreneur was the CEO and Co-Founder of Minor Guard, AI software company focused on making children safer online and in real life, and recently gave a TED Talk entitled “Bringing Light to Dark Places Online: Disrupting Human Trafficking using AI.” She is the Co-Author of Demystifying Artificial Intelligence for the Enterprise and host of the Navigating Forward podcast.

Lisa also currently serves as an advisory board member for Engineered Medical Solutions, Humaxa, Spectrum Labs, and Marketplace Risk. She is a Board of Director’s member for 3 Strands Global Foundation, a Human Trafficking prevention and reintegration focused organization. She has been named to the 2021 Top Health and Safety Thought Leaders and Women in Business you should follow lists by Thinkers 360, and as one of the Top 100 Human Trafficking & Slavery Influence Leaders Globally.

New podcast from Data Stand-Up! Jesus talks to Pablo Samuel Castro, Research Software Developer at Google.

Pablo currently works a Research Software Developer for Google Brain in Montreal. His focus is mostly in reinforcement learning and machine learning applied to music and creativity.

In previous teams (Ads and Chrome) he focused on developing and applying large-scale machine learning solutions to difficult problems, addressing both theory and practice.

Specialties: Computer programming, Artificial Intelligence, Machine Learning, Music, Fully and Partially Observable Markov Decision Processes, Reinforcement Learning, Linear Programming.

New podcast from Data Stand-Up! Jesus talks to Jan W Veldsink, AI Architect and AI Coach to Rabobank.

In this episode, Jan W. , AI Coach and Architect at Rabobank, provides Jesus with insights on how he performs a coaching role at Rabobank. They discuss how critical it is to launch initiatives that foster an analytical culture and that promote data literacy across different layers and business units.

Jan shares his own experiences on how to develop and implement effective corporate data-driven strategies, taking us through various use cases that he has helped to design and develop for the banking industry.

They also comment on the implications of adopting autoML platforms across non-technical teams as well as the current limitations of these tools.

Jan W. Veldsink MSc is a creative energetic new thinker, with passion for technology and people. He is speaker, senior advisor, trainer and coach specialized in Artificial intelligence and Intuitive interventions in organizations. His mission is to contribute to a secure and endurable environment within teams and organizations. At his work with some of the large banks in the Netherlands he applies AI within different Compliance and Fraud related topics. His expertise areas are Artificial Intelligence, Cyber security, Systems thinking, Serious gaming and Innovation.

Jan Veldsink is working as consultant and teacher on the subjects of Cybercrime, Artificial Intelligence, digital transformation, organizational development and innovation at Rabobank and Nyenrode Business Universiteit.

At Rabobank Jan is Lead Artificial Intelligence and Cognitive Technologies within Global Compliance Surveillance & Integrity Investigations. At Nyenrode he is Core Teacher of the module AI and Cyber, one of the Modular Executive MBA in Business & IT programs.

Welcome to a groundbreaking episode of the BEDROCK podcast, where we dive deep into the forefront of innovation and empowerment in technology. Our special guest is Sadie St. Lawrence, the esteemed Founder & CEO of Women In Data, a premier community championing the advancement of women in the fields of AI and Tech. With a remarkable membership spanning over 20,000 individuals across 17 countries and 50 cities worldwide, Women in Data stands as a testament to the power of community and the spirit of innovation.Sadie St. Lawrence is not just a leader; she is a trailblazer in data science, having equipped over 350,000 individuals with critical data science skills. She is the creative mind behind the Machine Learning Certification for UC Davis, showcasing her profound expertise in technical innovation, analytics management, and transformative leadership.Her exceptional contributions to the field have not gone unnoticed. Sadie's influence and impact have been recognized in prestigious publications such as USA Today and Dataversity. She has been honored with the Outstanding Service Award, named one of the 10 Most Admired Business Women to Watch in 2021, and ranked as a Top 21 Influencer in Data.Beyond her professional accolades, Sadie embodies courage, vision, and compassion, prioritizing people and outcomes in her approach to leadership. Her commitment extends beyond her role at Women In Data; she is an active board member for multiple startups, the engaging host of the Data Bytes podcast, a sought-after speaker, and an artist.Join us on BEDROCK podcast as we explore Sadie St. Lawrence's inspiring journey, her insights on the intersection of technology and humanity, and her unwavering dedication to fostering a more inclusive and innovative future in tech. Prepare to be inspired by a conversation that challenges conventions and celebrates the transformative power of data and diversity.

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.

Climate Change AI is a global initiative to catalyze impactful work at the intersection of climate change and machine learning. Climate Change AI (CCAI) is an organization composed of volunteers from academia and industry who believe that tackling climate change requires concerted societal action, in which machine learning can play an impactful role. Since it was founded in June 2019, CCAI has led the creation of a global movement in climate change and machine learning, encompassing researchers, engineers, entrepreneurs, investors, policymakers, companies, and NGOs.

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, we chat with Mihaela Rosca, a Research Engineer at DeepMind, whose career journey has taken her from a Software Engineer role at Google Zurich, where she specialized in Natural Language Processing (NLP) using neural networks, to pursuing her PhD at University College London (UCL) under the mentorship of Professor Marc Deisenroth. Mihaela's academic and professional journey began with her completing a four-year Computing MEng degree at Imperial College London in 2014, where she graduated with first-class honours and was awarded for her exceptional overall performance. Her professional interests span a wide range of topics within the realm of machine learning, including generative models, reinforcement learning, NLP, and the broader goal of making machine learning scalable and safe. Mihaela is deeply fascinated by the study of probability distributions and their applications in learning models. This episode is brought to you by Bedrock, a boutique firm specializing in Data Science and AI. Our podcast, "Data Stand-up," aims to disseminate scientific knowledge and technical expertise related to our work with clients. We invite guests to share their experiences, learnings, and accomplishments, contributing to a richer knowledge exchange within the community.

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!