The Alldus Podcast - AI Mentors

Today's guest is Zachary Elewitz, Director of Data Science at WEX. Founded in 1983, WEX is a global leader in financial technology solutions. The company simplify the complexities of payment systems across continents and industries, with specialized solutions for fleet and mobility, corporate payments and employee benefits. With over 5,500 employees, WEX work with large and small companies in more than 200 countries and territories, and can tailor their services to meet the unique needs of their businesses.

In the episode, Zachary will discuss:

His background and current work he does with Wex,

The working culture & day-to-day life of the team,

Career advice on switching industries,

Deciding what sort of Data Scientist you want to be,

What he looks for when hiring into the team,

Why to consider a career with Wex

Today's guest is Firas Lethaus, Head of the Deep Learning Expert Center at the Volkswagen Group. Headquartered in Wolfsburg, the Volkswagen Group is one of the world’s leading automobile manufacturers and the largest carmaker in Europe. Each working day, around 630,000 employees worldwide across the group's 12 brands are involved in vehicle-related services or work in the other fields within the business. The group's goal is to make mobility sustainable for our world today and for future generations.

The Deep Learning Expert Center are responsible for the development and deployment of AI/data products within the Volkswagen group and their subsidiaries. These include  Elli, which develops solutions for private users and business at the many touchpoints between e-mobility and the wider transition underway in society to renewable energy, and CARIAD, which builds the leading tech stack for the automotive industry to make automotive mobility safer, more sustainable and more comfortable in a new way.

In the episode, Firas will discuss:

His background and interesting roles over the years,

The challenges with autonomous driving,

Advice on making the move from academia to industry,

The importance of communication and team dynamics, and

Generating ROI from data science projects in business

Today's guest is Danish Rafique, Head of Digitalization and Analytics at Bayer in Bavaria, Germany. Bayer is a global enterprise with core competencies in the Life Science fields of healthcare and agriculture. Their products and services are designed to benefit people and improve their quality of life. Bayer aims to create value through innovation, growth, and high earning power.

Danish has over ten years of experience working in the ICT, automotive and healthcare industries. His key focus areas are within AI and cloud technologies, together with product management, strategic programs and commercial developments. He is passionate about leadership and mentoring, and he is always on the lookout for synergies across industries.

In the episode, Danish will discuss:

Key advice on making the move from academia into industry,

Why Data Science in the Healthcare sector,

The interesting projects they are working on at Bayer,

The split between AI research and AI in production,

The importance of decision-making and AI ethics

Today's guest is Nimish Parikh. Nimish is a strategic and results-oriented medical device marketing executive with over 16 years of industry experience working across some of the top medical device firms in the world. Earlier this year, Nimish founded Maiven, who are developing intelligent agents for healthcare.

Prior to this role, Nimish was the Head of the global product management team for Philips Medical Digital and Computational Pathology Division. Nimish and his team were responsible for working with digital technology and artificial intelligence to revolutionize the treatment of cancer.

In the episode, Nimish will discuss:

Understanding the business side of AI,

Interesting applications he is seeing within AI in Healthcare,

The different complexities within the sector,

The interesting work he did previously at Phillips,

Commercialization of AI and

The importance of the product management teams

Today's guest is Patrice Chaperon, Product Analytics Manager at Doctolib. Founded in 2013, Doctolib is now the leading eHealth service in Europe. Their aim is to simplify the life of physicians and healthcare facilities, as well as improve the healthcare access for patients. Patrice is an experienced Senior Analytics Manager with a demonstrated history of working in the internet and AdTech industries. He is a strong research professional skilled in Analytical Skills, Computer Science, Data, Reporting and Business insights.

In the episode, Patrice will discuss:

His journey to joining Doctolib,

Doctolib’s work within the Healthcare sector,

Interesting projects they are working on,

Structuring the Data Analytics and Data Science teams,

What it is like to work at Doctolib,

Why he believes data science projects fail,

and What the future of eHealth looks like

Today's guest is Michael Schrapp, Program Lead for Smart Fleet at Siemens Healthineers in Bavaria, Germany. Siemens Healthineers enables healthcare providers worldwide to increase value by empowering them on their journey towards expanding precision medicine, transforming care delivery, improving patient experience and digitalizing healthcare.

A leader in medical technology, Siemens Healthineers is constantly innovating its portfolio of products and services in its core areas of diagnostic and therapeutic imaging and in laboratory diagnostics and molecular medicine. Siemens Healthineers is also actively developing its digital health services and enterprise services across the world.

In the episode, Michael will discuss:

How he got interested in AI and Data Analytics,

Transitioning from academia into industry,

Pros and cons of working with healthcare data,

Interesting projects they are working on at Siemens Healthineers,

How to add business value with Data Science & Analytics,

and Challenges we need to overcome to fulfil the true potential of AI

Today's guest is Sanji Fernando, SVP of Artificial Intelligence and Analytics Platforms at Optum. Part of the UnitedHealthGroup, Optum is powering modern health care by connecting and serving the whole health system across 150 countries. They combine cutting-edge technology, the world’s largest health care database and vast expertise to improve health care delivery, quality and efficiency. They are on a mission to help people live healthier lives and to help make the health system work better for everyone.

Sanji is responsible for leading the AI & Platforms team for Optum Enterprise Analytics in Massachusetts. His team develops AI solutions that predict disease progression, classify medical charts to support risk adjustment and models that recommend the next best action in care, as well as developing the E2E platform for analytics and AI development for OEA. Sanji also leads the education and community building for best practice and use of platforms tools for analytics professionals and data scientists.

In the episode,  Sanji will discuss:

The great work they do at Optum,

How to get the data fit for purpose,

Understanding the business problem you are looking to solve,

The challenges of working with Healthcare data,

The importance of monitoring the model development process,

and bringing Machine Learning models into production

Today's guests are Sandro Phan, Senior Recruiter of Data & Tech and Jesus Martínez-Blanco, Senior Data Scientist at Flixbus in Berlin. Launched in 2013, Flixbus believe in a vision of offering smart and green mobility for everyone to experience the world. They are a young mobility provider offering a sustainable and comfortable journey through Europe and the United States with an ever-expanding network of more than 350,000 daily connections to 2,000 destinations in 29 countries.

Flixbus provides customers with a green and comfortable means of transport that fits any budget. Together with their regional bus partners, their fleet of 2000 green buses offers state-of-the-art comfort with free WiFi, innovative ticketing-systems, flexible online booking, their own smartphone-app and CO2 compensation. Thanks to their unique business model and innovative technology, they have quickly established one of the largest long-distance mobility networks in the world.

In the episode,  Sandro and Jesus will discuss:

Making the transition from academia to industry,

Interesting Data Science projects they are working on at Flixbus,

The impact of COVID-19 in the business,

The testing phase and keeping humans in the loop,

How to add real value within Data Science,

The importance of communication,

& Advice to technologists on making the most from your career

Today's guest is Lauren Moores, Head of Data Science Innovation at Flagship Pioneering. Lauren loves using dirty and disparate data to optimize business practices by revealing relevant metrics and insightful stories. With more than 20 years in data & technology strategy, science and data creation, she loves mentoring others to structure, 'speak' and think data.

Flagship Pioneering conceives, creates, resources, and develops first-in-category life sciences companies to transform human health and sustainability. Since its launch in 2000, the firm has applied a unique, hypothesis-driven innovation process to originate and foster more than 100 scientific ventures, resulting in over $30 billion in aggregate value.

In the episode, Lauren will tell you about:

How she got involved in technology and Data Science,

Her passion for applying data in Life Sciences,

What a great Data Scientist looks like,

Advice on moving into a leadership role,

How to attract more diversity in Data Science,

& Learning to market yourself and stand out within Data Science

Today's guest is Alexander O’Connor, Lead Data Scientist at Autodesk in San Francisco. Autodesk makes software for people who make things. If you’ve ever driven a high-performance car, admired a towering skyscraper, used a smartphone or watched a great film, chances are you’ve experienced what millions of Autodesk customers are doing with their software. Autodesk gives you the power to make anything.

Alex leads a team whose purpose is to help the customer to get the answer they need by allowing them to state their problem in their own words. The team is dedicated to enhancing support. They work in an agile fashion to deliver projects that leverage a variety of Machine Learning tools and have access to a fantastic store of data in many forms, all of which can be mined for insight, automation and prediction.

In the episode, Alex will tell you about:

Applying Machine Learning & Data Science at Autodesk,

What he loves most about his job,

Making the transition from academia to industry,

The potential of Personalisation, NLP and Deep Learning,

Exciting projects he is working on at Autodesk,

How to build an effective data science team,

and Key tips for a successful Data Science career

Today's guest is Ian Macomber, Director of Analytics at Drizly, who are the world's largest alcohol marketplace and the best way to shop beer, wine and spirits. Their customers trust them to be part of their lives – their celebrations, parties, dinners and quiet nights at home. They are there when it matters - committed to life's moments and the people who create them.

Drizly partner with the best retail stores in over 1200 cities across North America to serve up the best buying experience. Drizly offers a huge selection and competitive pricing with a side of personalized content. In his role, Ian is responsible for leading Drizly's Data Science, Analytics Data Engineering and Business Intelligence teams.

In the episode, Ian will tell you about:

The work he does at Drizly, the world's largest alcohol marketplace,

How COVID-19 has impacted the business,

The skills he has learned in his experience to date,

Figuring out the real business problems you are looking to solve,

Build vs Buy: the impact of decision making,

and his Advice to Data Scientists coming into the industry

Today's guest is Kate Strachnyi, founder of DATAcated Academy & Story by Data. Kate is regarded as one of Linkedin's Top Voices in Data Science & Analytics. An author, podcast host and advisory board member, her focus is to provide custom Linkedin content strategy solutions for companies focused on innovating in the data science, machine learning and the AI space.

Set up in March 2020, DATAcated Academy offers training data analysts on how to design effective and beautiful data visualizations. She is focused on delivering a visual best practices course that is product-agnostic. Additionally, they run the DATAcated challenge that includes crowd-sourcing information on various data-related topics, with a variety of prizes for select winners.

In the episode, Kate will tell you about:

Her contributions to the Data Science community

The motivation for founding DATAcated academy

Educating organizations on maximising their data

Balancing the workload

Upcoming projects and what’s in store for the future

Key advice on how to kickstart a career in Data Science

What she loves about her job

Today's guest is Doug Laney, Principal of Data & Analytics strategy at Caserta. Doug is an experienced thought leader, consultant, advisor, author, speaker and instructor on data and analytics strategy topics. He is the originator of the field of Infonomics and author of the best-selling book, "Infonomics: How to Monetize, Manage, and Measure Information for Competitive Advantage."

He currently helps leading organizations conceive, architect and implements ways to innovate with their available data to drive increased business value from them at Caserta. Doug consults to chief data officers and other data/analytics leaders on best practices for managing, monetizing and measuring their information assets.

In the episode, Doug will tell you about:

Interesting projects he is working on at Caserta,

Common trends they are helping organisations embrace within Data & Analytics,

Key learnings from his best-selling book Infonomics,

What he enjoys about working within Consulting,

Advice to those looking to make the move into Data & Analytics,

and Key skills needed for a successful career in Data Science

Today's guest is Bill Schmarzo, Chief Innovation Officer at Hitachi Vantara. Bill Schmarzo is regarded as one of the top Digital Transformation influencers on Big Data and Data Science. His career spans over 30 years in data warehousing, BI and advanced analytics. Currently, “The Dean of Big Data” guides Hitachi Vantara's technology strategy and drives “co-creation” efforts with select customers to leverage IoT and analytics to power digital transformation.

Bill formerly served as CTO of Big Data at Dell EMC and as the VP of Analytics at Yahoo! Bill is passionate about teaching his students and followers how to Think Like a Data Scientist, an approach advocating the capacity to learn concepts and methodologies, enabling transferable skills in a world driven by the rapid introduction and adoption of new tools and open source frameworks.

In the episode, Bill will tell you about:

How he got interested in Data Analytics,

What he learned during his time with Yahoo and Dell EMC,

Balancing his day-to-day work along with writing books,

Building his team at Hitachi Vantara,

What you’ll learn from ‘The Art of Thinking like a Data Scientist,’

What he loves about his job,

and Advice on how to make the most out of your career

Today's guest is Adam Waksman, Director of Engineering at BlackRock. Adam is an Executive Technology Leader with a focus on enterprise software delivery, product strategy, data management and data science, as well as CTO experience and knowledge of organizational design. He is also an accomplished scientist and mathematician, having made scientific contributions across fields in computer science, data science and neuroscience.

BlackRock is a global asset manager who helps investors build better financial futures. As a fiduciary to investors and a leading provider of financial technology, BlackRock's clients turn to them for the solutions they need when planning for their most important goals. Launching over 30 years ago, their founding mission was to establish a firm that thinks differently about managing investment risks to best serve our clients, and this is still at their core today.

In the episode, Scott will discuss:

Transitioning his career into leadership,

Advice to academics moving into industry,

What to expect in your first Data Science role,

What he enjoys about his role,

How to best approach an interview,

What excites him for the future within Data,

and Advice on moving into leadership/management roles.

Today's guest is Scott Taylor, who is commonly known as "The Data Whisperer." Scott has helped countless companies “calm data down” by enlightening business executives to the strategic value of master data and proper data management. He focuses on business alignment and the “strategic WHY” rather than system implementation and the “technical HOW.” He also acts as Principal Consultant for MetaMeta Consulting – A Data Story Boutique.

An avid business evangelist and original thinker, Scott continually shares his passion for the strategic value of master data through industry events, public speaking opportunities, blogs, videos, whitepapers, podcasts, cartoons, puppets shows and all forms of thought leadership. He has also worked with global enterprises by representing some of the world’s most iconic business data brands including Dun & Bradstreet, Nielsen and Microsoft.

In the episode, Scott will discuss:

His interesting work in helping enterprises tell their data story,

The role of Data Management within Data Storytelling,

Challenges of introducing a data-driven culture in your business,

How to effectively communicate with senior managers & stakeholders,

The role of Data Monetization in impacting ROI,

and What he loves about public speaking.

Today host Mark Kelly speaks with Marco Morales, Senior Director of Data Science at NBCUniversal Media in New York. As part of the leadership of a corporate-level group that builds data products, develops tools and supports strategic decisions with data across all NBCUniversal business units, Marco is leading the integration of linear and digital forecasting in a unified platform to provide a comprehensive view of the total audience for all NBCUniversal's TV properties.

Marco has successfully architected and led a team of data scientists, data engineers and consultants to migrate data and forecasting pipelines that feed the forecasting platform to open-source which reduced data and forecasting processing time by 50%. He also provided methodological guidance and led the development of novel methodologies to automate monitoring of 5K+ forecasts in production, including early indicators of changes in TV viewership.

In the episode, Marco will discuss:

Transitioning from Political Science into Data Science,

Transferring his current skills into his new career,

The role of Social Science in Data Science,

Defining the problem you are looking to solve,

and How AI will further impact the customer experience in media.

Today's guest is Wally Lo Faro, VP of Data Science at Mastercard. Wally has successfully built the data science capabilities and team in MasterCard Operations and Technology over the past five years. He is responsible for applying advanced techniques for improving and maintaining data quality of very large data sets, information product ideation and development as well as applying data science principles for process improvement.

Wally has applied techniques from the areas of mathematics, machine learning, information retrieval, text analysis and statistics to design highly scalable approximate string matching systems, data quality monitoring and alerting systems, and fraud detection applications. He has also worked in designing marketing analytics and modeling environments, as well as building scalable and personalized recommendation engines.

In the episode, Wally will tell you about:

Interesting projects he is leading at Mastercard,

How his role has evolved in his 13 years with the company,

Transitioning from academia to industry,

3 ways you can get involved in AI and Data Science,

What the ideal Data Science team looks like,

How to successfully add business value from Data Science projects, 

and What he looks for in an interview

Today's guest is Gokcen Aygenc, Director of Analytics at Blue Apron. Founded in 2012, Blue Apron are reimagining the way that food is produced, distributed and consumed. Their core product is the cooking experience with original recipes designed along with fresh, seasonal ingredients directly to customers. They are building a better food system that benefits consumers, food producers and the planet.

Gokcen leads a team of data analysts to coordinate demand forecasting related inputs (brand marketing strategies, programs, promotional calendar, launches) for a reconciliation to the financial forecast and procurement schedule. Prior to her current role, she served as an executive at various business analysis roles at Quontigo, Blackberry, Acer, and Hewlett Packard in Istanbul, Dubai and New York.

In the episode, Gokcen will discuss:

Developing her technical and people skills within different cultures,

How to use predictive analytics effectively within your business,

What to look for in hiring Data Scientists,

The importance of trust and strong relationships with stakeholders,

How to apply Data Analytics successfully to improve the customer experience,

and Advice to Data Science Managers on how to maximise ROI.

Today's guest is Ela Osterbeger, Director of Data Science at Deliveroo. Ela heads up the Data Science team that works on the Delivery algorithms, Consumer care, Experimentation platform and Rider pricing. Prior to exploring data on pizza and finding the fastest route from A to B on a bike, she ran a data team at The Guardian. Ela is passionate about developing Data Scientists and creating an inclusive work environment.

In the episode, Ela will discuss:

Developing her problem-solving skills,

Building trust & strong relationships with stakeholders,

Transitioning into a leadership role,

What she looks for when hiring Data Scientists,

Improving the customer journey at Deliveroo, 

and How AI & Data Science are impacting the delivery industry.

Today's guest is Ted Tanner, CTO and Chief Architect at IBM Watson Health. IBM Watson Health aspires to improve lives by addressing the world's most pressing health challenges through data and cognitive insights. Ted is responsible for the technology and platform directives across all of Watson Health genomics, pharmacology and oncology as it pertains specifically to AI-based technologies.

From being responsible for C-Level P&L at publicly traded corporations such as Apple and Microsoft, Ted also co-founded startup PokitDok Inc. which was acquired by Change Healthcare in 2018. He also published numerous articles in leading technical magazines and holds several patents in the areas of blockchain, semantics, machine learning, signal processing and signal protection.

In the episode, Ted will discuss:

The interesting roles he’s enjoyed over the years,

Transitioning from engineering into running his own business,

Learns he has taken into his role at IBM Watson,

Exciting projects at IBM Watson Health, such as Genomics & IoT,

How to start a career in AI and Machine Learning,

And Mentors who guided him in his career.

Today's guest is Deepna Devkar, Vice President of Data Science & Engineering at CNN Digital where she heads up the Data Intelligence team in New York. She works to understand the CNN audience across devices and build recommendation systems that increase user engagement across all CNN brands.

Deepna has worked primarily in the media industry with strong experience building and leading cross-functional teams. She enjoys working on projects ranging across audience segmentation, content recommendation and personalization. In 2018, she was recognized for her contribution as Folio's Top Women in Media, Corporate Champion.

In the episode, Deepna will discuss:

Her interesting Data Science journey to joining CNN,

How they are applying Data Science to transform CNN Digital,

Transitioning from academia into industry,

Challenges to be aware of moving into Leadership roles,

How to build a successful Data Science team,

Advice on how to kick start your Data Science career,

And What she loves about her role at CNN.

Today's guest is Thomas Vincent, Head of Data Science at Getty Images. Thomas is an experienced statistician and programmer who is passionate about developing tools and pipelines to discover and retrieve underlying phenomenons and patterns in modern-day datasets. His work includes predictive analysis, NLP, data visualization and data analysis.

Getty Images is the most trusted and esteemed source of visual content in the world, with over 200 million assets available. They serve creative, business and media customers in almost 200 countries with images from over 200,000 contributors and hundreds of partners to provide comprehensive coverage of more than 130,000 news, sport and entertainment events around the globe.

In the episode, Thomas will discuss:

How they are using AI and Data Science at Getty Images,

Building and scaling a successful data science team,

What their ideal candidate looks like,

Why Getty Images is a great place to work,

How to stand out in the interview process,

What would he do differently if he was to start again,

and What’s in store at Getty Images in the near future.

Today's guest is Glenn Hofmann, Chief Analytics Officer at New York Life, one of America's largest mutual life insurance companies. For over 175 years, New York Life and their subsidiaries provide insurance, investment and retirement solutions. They believe in the importance of human guidance and intrusted relationships built on being there when customers need them most.

Glenn is an experienced Senior Executive in Insurance and Financial Services, who currently leads the corporate 50-person Data Science and AI function at New York Life. He is responsible for the foundations, relationships with many internal groups and a great variety of projects. He also leads their Data Science Academy, their internal education program for all New York Life employees.

In the episode, Glenn will discuss:

What he loves about his role at New York Life,

How he helped the company embrace a data-driven culture,

Exciting projects they are working on within the insurance industry,

Creating a successful data science team,

How to stand out in the job application process,

and Key learns in transitioning into a leadership position.

Today's guest is Paul Brenner, Head of Data Science at PlaceIQ where he defines the role of data science within the company. Paul ensures the team works on the most impactful projects, finds new ways that they can build new products that will fulfil their client's needs and helps promote education within the organization to keep PlaceIQ ahead of the competition.

Based in New York, PlaceIQ powers critical business and marketing decisions with location data, analytics and insights. Companies can uncover opportunities within the consumer journey by learning about and connecting with location-based audiences, measuring real-world ROI, and applying insights that drive intelligent marketing and successful business outcomes.

In the episode, Paul will discuss:

How he helped grow the Data Science function at PlaceIQ,

The different paths available for Data Scientists,

Advice on deciding when to apply Machine Learning in your business,

What to consider when making your next career move,

Building a high-performing data science team,

and His top interview tips.

Today's guest is Bob Bress, VP of Analytics and Business Intelligence at Freewheel. Bob is an Analytics leader with 15+ years of experience in developing and implementing complex analytical solutions for leading-edge technology and advertising programs. He is an expert in building Data Science and Business Intelligence teams from the ground up.

Freewheel empowers all segments of The New TV Ecosystem. They power the technology, data enablement, and convergent marketplaces required to ensure buyers and sellers can transact across all screens, across all data types and all sales channels, in order to ensure the ultimate goal in gaining the best results for marketers.

In the episode, Bob will discuss:

Freewheel’s current projects within TV advertising

What he loves about his job

How to add real business value through data science

Key traits to have for a successful data scientist

Building a successful data science team

Advice on how to interview more effectively

Future trends in media & advertising that excite him

Today's guest is Brigham Hyde PhD, Co-Founder and Advisor at Concerto Health AI, the Definitive Dataset for Real-World Data and the leader in AI Solutions for Precision Oncology. Enterprises integrate Concerto Health AI's Real-World Data, your data and third-party datasets to drive insights and decision-making across the enterprise.

Concerto Health AI's Advanced Patient Management Solutions bring patient management to guidelines, precision oncology decision support, and clinical research within a clinic or practise workflow to truly enable precision oncology and value-based care models.

In the show, Brigham will discuss:

What motivated him towards a career in Data Science

What he’s learned throughout his career

How they are applying AI at Concerto Health

3 key areas on how to become a great Data Scientist

Building an effective data science team

How to get involved within the HealthTech sector

Today's guest is Kenneth Schwartz, VP of Innovation and Analytics at HealthFirst. Healthfirst is a provider-sponsored health insurance company that serves more than 1.4 million members in downstate New York. Healthfirst offers top-quality Medicaid, Medicare Advantage, Child Health Plus, and Managed Long Term Care plans for their customers.

Kenneth is responsible for Healthfirst's Analytics Delivery, Data Science and Advanced Analytics teams delivering insights that improve the health of New Yorkers. Building capabilities in machine learning, text analytics and graph analysis that combined within a great user experience become first-class Data Products that empower business users throughout the company.

In the show, Kenneth will discuss:

How he transitioned into a career in tech and data science

The interesting work he does at Healthfirst

Challenges of working with legacy data

The benefits they are making to people’s lives

How to make the most out of AI and Data Science in your business

Today's guest is Gabi Steele, Data Visualization Manager at WeWork in New York City. The focus of Gabi’s work is at the intersection of data storytelling, community building and enterprise innovation. Gabi also co-designed and runs Data Cult, which is an innovative experience which empowers employees to solve real business problems using data.

Gabi leads data visualization and innovation at WeWork, which is the platform for creators, providing hundreds of thousands of members around the world with space, community, and services that enable them to do what they love and create their life's work. It is their mission is to create a world where people work to make a life, not just a living.

In the show, Gabi will tell you about:

How she became involved in the tech world

Interesting projects she is working on at WeWork

Effectively using your technical skills to improve business decision-making

Improving communication skills

How to get involved in data visualization and storytelling

Advice on how to become successful in your career

Today's guest is Ainul Huda, who is the Vice President of Analytics, Audience Development and Marketing at Global Media company Condé Nast in New York City. Ainul is an Executive with several years of leadership experience in Data & Analytics, Audience Development & Digital Growth, Strategy, Marketing, Business Planning, Financial Modeling and Operations.

Ainul supports content planning, drives audience growth, engagement & loyalty, as well as helping to maximize monetization across all of Condé Nast brands and functions. This is achieved through innovative marketing tactics & partnerships, comprehensive analysis & measurement, as well as supporting content, product & design optimization through recommendations and analytics.

In the show, Ainul will tell you about:

Developing a data-driven culture at Conde Nast

How to show stakeholders the business value of data analytics

The importance of communication skills

Building successful Data Science teams

The pros and cons of working within industry

Helpful tips on standing out in the interview process

Today's guest is Danti Chen, Head of Applied Data Science and Insights at Weber Shandwick in New York. Danti is responsible for leading the design and implementation of rigorous analytics using advanced data science techniques for client-oriented actionable insights and building out the Weber Shandwick's analytics function at a global scale.

Weber Shandwick is a leading global communications network that delivers next-generation solutions to brands, businesses and organizations in major markets around the world. Data-led, with earned ideas at the core, the agency deploys leading and emerging technologies to inform strategy, develop critical insights and heighten impact across multiple sectors.

In the episode, Danti will share:

Advice on moving from academia to industry

What she loves about her job

Challenges to be aware of working as a Data Science

How to improve your communication skills

Building a successful data science team

The benefits Weber Shandwick bring to clients

What’s in store for Weber Shandwick in the near future

In today's episode, our guest is Ilya Meyzin. Ilya is the Vice President of Data Science Strategy and Operations at Dun & Bradstreet in New York.  Ilya leads innovation initiatives such as graph network analysis, anomaly detection, unstructured text synthesis at Dun & Bradstreet as well as business development efforts and delivery of selected customer projects.

Ilya has a has corporate strategy, business transformation and data science experience spanning 15 years in multiple industries, countries and enterprise domains. He previously advised Fortune 500 and private equity clients on growth strategy, market entry and conducted commercial due diligence on businesses ranging from start-ups to multi-billion multinationals.

Ilya has also participated in briefings to the President’s National Security Telecommunications Advisory Committee on Big Data analytics and also contributed to a white paper on Big Data, which was delivered to the Chinese State Council. Recently, he also delivered a presentation to senior government decision makers on AI trends in the private sector.

In the show, Ilya will tell you about:

• How he became involved in Data Science
• D&B’s data science projects in advanced anomaly detection
• Data Science: hype v reality
• The top skills you need for a career in Data Science
• The importance of understanding your business needs
• Advice on how to improve your communication skills
• How to be a stand out Data Scientist

Today's guest on the show is Sidney Madison Prescott, who is the Vice President of Intelligent Process Automation at BNY Mellon. BNY Mellon partner with internal business units to strategize ways to transform business processes through robotic automation. As a result of Intelligent Process implementations, employees are freed up from general swivel chair activities to handle more value add tasks for their extensive clientele.

After spending the past few years of her career in the cognitive automation space, Sidney knows what drives successful global robotics implementations and has excelled at delivering projects resulting in a seven-figure return on investment stats for Fortune 250 companies across the globe.

Sidney has filled many prominent leadership positions in support of women in technology, with an emphasis on driving mentorship programs for young professionals. This includes a stint with the American Association of University Women as a campus chapter President. Sidney was also recently nominated by the USA Women in Payments awards committee and a group of her peers, as a coveted “Rising Star in Payments” 2019 award recipient.

In the episode, Sidney will tell you about:

• What her work involves at BNY Mellon
• How she got involved in a Data Science career
• Making the transition from academia to industry
• How to build and manage the ideal Data Science team
• Redefining the stereotypical IT professional
• Advice on bringing your unique offering to a business

 Today's guest is Jim Harper, who is the co-founder and Chief Operating Officer at Sonde Health. Sonde Health is a digital medicine company based in Boston who are developing a voice-based technology platform with the potential to transform the way we monitor and diagnose mental and physical health.

Sonde Health's goal is to build new ways to follow mental and physical health to help you and your care team understand your health more completely so you know when and how to get the right help. They have the potential to advance their understanding of what it means to be and feel well.

In the show, Jim will tell you about:

• His interesting research in biotechnology
• Making the move from academia to industry
• Top tips on working with the problem you are looking to solve
• The importance of working with small data
• Being passionate about your career
• The fascinating projects at Sonde Health

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 mathematics was supported by the NASA Goddard Institute for Space Studies.

In today’s episode, Michael will share with you:

• His interesting work at Atlas Research Innovations
• What he loves about his job
• Key tips on making the move from academia to industry
• The exciting world of IoT
• How to effectively apply AI within your business
• Building a great Data Science team
• The importance of being involved in the Data Science community

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 job
• Pros and Cons of a career in Data Science
• Amazing tips on how to interview more effectively

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 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 IoT and Cybersecurity

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 the Boston CTO Club

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 most value
• How to influence data science within your organization
• Where the future of AI and Data Science is heading in the near future
• Creating a discussion on AI Ethics

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 add real value as a Data Scientist
• Why you should share your knowledge with others

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
• Building the ideal Data Science team