50 episodes

AI Mentors help you pave the way for a successful career in the world of Data Science and AI. Powered by Alldus International, the premium AI Workforce Solutions, our consultant's interview AI Leaders and Data Scientists from around the world about their personal journey to becoming a front-runner in AI. Guests offer practical advice to those interested in becoming a leader in Data Science and AI.

AI Mentors AI Mentors

    • Technology
    • 4.3 • 4 Ratings

AI Mentors help you pave the way for a successful career in the world of Data Science and AI. Powered by Alldus International, the premium AI Workforce Solutions, our consultant's interview AI Leaders and Data Scientists from around the world about their personal journey to becoming a front-runner in AI. Guests offer practical advice to those interested in becoming a leader in Data Science and AI.

    E50 Lauren Moores, Head of Data Science Innovation at Flagship Pioneering

    E50 Lauren Moores, Head of Data Science Innovation at Flagship Pioneering

    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

    • 20 min
    E49 Alexander O’Connor, Lead Data Scientist at Autodesk

    E49 Alexander O’Connor, Lead Data Scientist at Autodesk

    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

    • 19 min
    E48 Ian Macomber, Director of Analytics at Drizly

    E48 Ian Macomber, Director of Analytics at Drizly

    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

    • 25 min
    E47 Kate Strachnyi, founder of DATAcated Academy & Story by Data

    E47 Kate Strachnyi, founder of DATAcated Academy & Story by Data

    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

    • 20 min
    E46 Doug Laney, Principal of Data & Analytics strategy at Caserta

    E46 Doug Laney, Principal of Data & Analytics strategy at Caserta

    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

    • 26 min
    E45 Bill Schmarzo, Chief Innovation Officer at Hitachi Vantara

    E45 Bill Schmarzo, Chief Innovation Officer at Hitachi Vantara

    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

    • 29 min

Customer Reviews

4.3 out of 5
4 Ratings

4 Ratings

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