Ai Mentors

Today’s guest is Dr. Michael Ferrari. Michael is the Founder, Managing Partner & Principal at Atlas Research Innovations. They provide applied research, scientific analysis and bespoke services to clients in the private and public sectors, government and academia with an emphasis on climate, risk, agriculture, environment, energy, water, IoT & space. Michael has spent nearly two decades as a scientist, engineer and economist in a wide variety of industries. Most of this work falls at the food-water-energy-infrastructure nexus and encompasses Data Science, Spatial Informatics, AI/Machine Learning, Financial & Physical Risk, Smart City & Earth Observation Technologies, and more. Michael earned his PhD from Rutgers where his research focused on better understanding the Industrial/Environmental interface and the Earth/Space/Biosphere complex from both information systems and an evolutionary perspective.  His doctoral work in numerical modelling and applied mathem

Today’s guest on the show is Kendell Timmers. Kendell is the VP of Advertising Analytics at the New York Times. Kendell is a digital data expert and problem solver with a deep domain knowledge across ad tech. She also has a  passion for developing talent having built a robust group of analysts focused on advertising data products, testing, and analytics.  Kendell is also responsible for creating innovative data products to serve the advertising needs at New York Times. She also leads the design of campaign-level analytics products to provide key insights to their advertisers as well as partnering with the tech, advertising, marketing and newsroom teams to align on the testing strategy for the advertising experience.  In the show, Kendell will tell you about: What attracted her to a career in AI and Data Science How the New York Times are maximising their revenue through Advertising The impact of AI and Machine Learning at the New York Times What she loves most about her jo

In today's episode, host JP Valentine is joined by Alex Siegman, AI Technical Program Manager at Dow Jones in New York City. Alex is an experienced leader in AI and Machine Learning and he is focused on managing projects, products and people to successfully design, develop and deploy revenue-driving technologies. In the show, Alex will share with you: How he became involved in a career in Artificial Intelligence Moving from Artificial Narrow Intelligence into Artificial General Intelligence How Dow Jones are leveraging AI within their organisation Advice on how to forge a career in AI and Data Science Transitioning into a Data Science career from a unique background What a great Data Scientist looks like

Today's guest is Michael Krigsman, who is an industry analyst and host of CXO Talk. He is recognized internationally as an analyst, writer, and commentator and has been recognised as one of the top executive interviewers and panel discussion leaders in the world. In the show today, Michael will tell you about: Creating CXO Talk His learnings from interviewing business leaders The importance of understanding the problem you want to solve His favourite examples of Applied AI in industry Advice on how to apply AI within your organization

Today’s guest is Ashleigh Faith, who is the Director of Data and Semantic Enrichment in EBSCO Information Services. Ashleigh specializes in multilingual search and annotation optimization strategies focused on semantics, interoperability, natural language and realized through ontologies. Her domain focus is STEM subject matter -particularly in transportation, mechanical, medical, and electrical engineering technology. Ashleigh’s novel techniques for machine learning have resulted in an F-measure of 89% based on STEM vernacular and she is also well versed in managing technical IP as well as leveraging data intelligence to its highest potential. In the episode, Ashleigh will tell you about: Interesting research into auto linguistics on words and languages Advice on making the move from academia to industry How to influence the key decision makers The importance of creating opportunities and building relationships Her work in semantic enrichment at EBSCO The future of AI and Machine Learning on I

Today’s guest on the show is Charlie Berg, VP of Engineering at Avant-Garde Health. Charlie has been actively engaged in building and leading teams that have successfully brought new technology products to market in the energy, healthcare, design industries as well as discrete manufacturing markets, such as entertainment and financial services. In his current role, Avant-Garde Health partner with healthcare providers to optimize long-term patient outcomes and costs. They create tools to expose and influence the discrete decisions that shape each patients’ path through the healthcare system. This translates to working with significant clinical, financial and operational datasets to model, analyze and inform the provision of care. In this episode, Charlie will discuss: The great work going on at Avant-Garde Health Advice to figure out the problem you are looking to solve What Data Scientists can learn from Engineering Projects Learning from your successes and failures Being involved with

Today’s guest on the show is Ben Taylor, co-founder and Chief Data Officer at Ziff AI. Ben’s mission is to further the boundaries of what is possible with data science. His current project combines the power of genetic programming with deep learning to automate network design and he believes human expertise and creativity are being replaced by powerful new methods. Ben is best known for my machine learning work with the data science community and with HireVue. Ben was Hirevue’s first data scientist and was able to partner with engineering to build out one of the first video interview prediction engines called HireVue Insights. It has since seen fantastic use cases and growth where large Fortune companies are dramatically reducing time to hire from six weeks to just six days. In this episode, Ben will tell you about: How Ben got involved in data science and the work he does at Ziff AI How AI and Data Science can help improve your business Advice to data scientists and companies on how to add the

Today’s guest is David Ledbetter, who is the Senior Data Scientist at the Children’s Hospital Los Angeles. David is an experienced data scientist and deep learning researcher that works closely with clinicians to bridge the gap between healthcare professionals and data scientists. David is focused on fostering communication and enabling collaborations that are able to solve real clinical problems that require significant cross-disciplinary expertise. He also has a passion for training aspiring data scientists looking to break into the healthcare sector to make a meaningful impact. In the episode, David will tell you about: Building the foundations at the Children’s Hospital in Los Angeles Examples of how data science affects patients lives for the better Having the right onboarding process for moving into industry The importance of effective communications How AI will change the future of the healthcare sector

Today’s guest Benjamin Lohnes, Principal Analytic Consultant at Epsilon. Ben is an experienced Database marketing professional with experience in developing and implementing customer relationship and customer life-cycle marketing initiatives, email marketing, customer segmentation, broad business analysis, technical end-user application training, and medium to large technical project management. He has years of experience in managing highly technical people, projects, and resources. His current focus is codifying the way in which stories are told across a variety of disciplines, with the ultimate goal being to find the common threads that can be used in organizations to tell clearer, more relevant stories that cascade throughout the organization ending with the most impactful story for the client. In the show today, Ben will tell you about: Interesting work he does at Epsilon The importance of communication and storytelling Understanding who your audience is to achieve ROI Top tips on how to

In this episode, our guest is Zhen Wang. Zhen is an experienced health and marketing data scientist who leads the data science team to support direct mail and display programs at Wayfair. She is responsible for leading Wayfair’s innovations in customer-level real-time bidding, uplift modeling, personalized display advertisement and 3rd party data implementation. Zhen moved to Boston for the Insight Health Data Science program and eventually joined Wayfair when she got really excited about the data challenges and learning opportunities at their Data Science team. She is also an avid science fiction reader and also likes to spend her free time thinking about ideas to apply machine learning to understand principles of traditional Chinese medicine. In the episode, Zhen will share with you: Why she loves working in Data Science 3 key tips on making the move from academia into industry How Wayfair use Data Science to influence the customer journey Advice on how to interview more effectively

Today’s guest is Hendrik Brackmann, Head of Data Science at Finiata based in Berlin. Finiata is making a huge impact in the financial industry by providing working capital financing for freelancers and SME’s over a fully automated data-driven scoring technology, which provides same-day decision-making and liquidity. Having successfully expanded to Poland and aiming to further grow throughout Europe, it is Finiata’s vision to become the leading European tech company, by enabling freelancers and SME’s to reap the rewards of their hard work immediately and celebrate instant payments of their invoices. In the show today, Hendrik will tell you about: Interesting projects he is working on at Finiata Advice on making the move from academia to industry How to influence AI and Data Science within your company The importance of a data-driven environment Building a Data Science team How to make the most out of your Data Science career

Today’s guest is Favio Vazquez. Favio has a strong passion for data science, machine learning and big data. He loves new challenges, working with a good team and having interesting problems to solve by using his knowledge and expertise in science, data analysis, visualization and automatic learning to help the world become a better place. He is the creator of Ciencia y Datos, which brings data science into the Spanish world with posts, articles, webinars and courses. Favio is also a Data Science course instructor at Business Science University where he created the Data Science for Business with Python course. He delivers content that is easy to learn and apply to business and organizations, as well as helping you develop solutions for real-world, large-scale problems. In the show today, Favio will tell you about: How he became so passionate about Data Science The importance of an open-source community How to add real value to your Data Science career Understanding the KPI’s and goals of

Today’s guest is Kristen Kehrer, who is the founder of Data Moves Me. Kristen started her journey to becoming a Data Scientist without knowing it but wanted to be analyzing data, building models, and helping to guide business decisions. Since 2010, she has utilized Data Science across multiple industries, including the utilities, healthcare, and eCommerce Prior to attaining her Master’s Degree, she was a high school math teacher and always enjoyed tutoring, coaching and mentoring. Her passion is leveraging her experience with the end-to-end job search for Data Science positions to help others effectively market their skills to land a job in this field. The coaching she had personally received was invaluable to how she approached the job search and is thrilled to share her expertise with others. In the episode, Kristen will share with you: The importance of communication and influence The role of Data Science in business Challenges to be aware of within data science Key Questions to prepare for in inter

Today’s guest is Justin Fortier, who is a Principal Data Scientist with ViralGains. Justin helped build the AI team at ViralGains, which is a video advertising platform that enables marketers to engage people with relevant brand stories in the venues and contexts that people most favor. Justin is an accomplished AI, machine learning and data science executive with more than 20 years of experience developing actionable insights and recommendations, which have driven profitable growth for several industry leaders. Justin has also built world-class data science teams and regularly speaks about the equal effectiveness of both business and technology. In this episode, Justin will discuss: What he loves about his job as a Data Scientist How to add value to your business using Data Science Making the move from working in Academia into Industry Advice on how to make the most of your Data Science career The importance of focusing on the problem you are looking to solve

Today’s guest is James Aylward, who is the SVP , Head of Data Product at Pluralsight in Boston. Pluralsight are the technology learning platform that helps technology leaders evaluate the technical abilities of their teams, align learning to key business objectives and close skills gaps in critical areas like cloud, mobile, security and data. James leads the Pluralsight IQ and IRIS AI teams that consist of Product, Design, Data Science, MachineLearning and Engineering function. He is committed to democratizing technology skills through the application of human-centred data science product development. Pluralsight are trying to change the way the world learns technology skills. In the episode, James will discuss: How to understand your customer’s needs Making the most out of your Data Science team How AI will transform the customer experience Staying ahead of the game How to start applying AI within your business

Today’s guest is Keith Santarelli. Keith is a Data Science R&D Team Leader at Agero. He has over a decade of experience as an innovative thought leader in the development of novel signal processing algorithms for real-world systems. Keith has broad leadership experience and was previously responsible for multiple mission-critical projects for the United States Armed Forces. In the episode, Keith will share: Interesting projects, such as detecting road accidents in real-time Making the transition from Academia to Industry What makes a great Data Scientist? His favourite Interview Questions Developing good Communication skills