Data Bytes

(00:01:02) Role and responsibilities explained
(00:01:39) AI impact on analytics maturity
(00:02:17) Analytics maturity study findings
(00:03:01) Reflections on industry progress
(00:03:39) Leadership gaps and silos
(00:04:27) Breaking down organizational silos
(00:04:53) Accessibility in data tools
(00:05:24) Data tools transforming organizations
(00:05:55) Growing demand for data insights
(00:06:47) Value of data science roles
(00:07:04) Opportunities and challenges in analytics
(00:07:56) Workflow automation in practice
(00:08:15) Empowering subject matter experts
(00:09:54) Automating insights delivery explained
(00:11:04) Automation examples in finance
(00:11:49) Workflow automation benefits highlighted
(00:12:12) Leadership strategies across industries
(00:13:03) Helping people realize potential
(00:14:11) Overcoming self-limiting beliefs
(00:15:19) Leadership advice for contributors
(00:16:06) Creating internal user groups
(00:17:11) Demonstrating leadership opportunities
(00:18:24) Practical ways to show leadership
(00:19:32) Recognizing strengths in others
(00:20:27) Lessons on articulating value
(00:23:02) Asking “why” to find impact

(00:00) Introducing Catherine Shen’s Career
(00:32) Transition from Luxury to Pharma
(01:55) Role of Data in Pharma
(02:52) Evolution of Data Engineering
(04:06) Innovative Data Solutions Impact
(07:23) AI’s Role in Pharma Industry
(10:24) Future AI Investments and Strategy
(13:09) Solving Unstructured Data Challenges
(14:02) Partnering with Math Company
(16:44) Measuring Success in Partnerships
(20:05) Pivotal Leadership Moments
(23:22) Believing in Innovation and Confidence
(25:29) Balancing Personal and Professional Life
(26:12) Building Confidence Over Time
(30:55) Creating Innovative Healthcare Collaborations
(33:02) Confidence Grows with Tenacity
(34:38) Excitement for the Future of Data
(36:39) Catherine’s Closing Remarks

(00:00) Intro: Negative connotations in AI
(00:21) Synthetic data fills gaps
(00:35) Guest introduction
(01:23) Importance of data quality
(02:14) Data-centric machine learning focus
(03:02) Bias mitigation strategies
(03:41) Role of human in AI loop
(04:34) Synthetic data in AI
(05:29) Pre-trained models and data quality
(06:02) Experiments with data quality
(06:39) Leading AI and research projects
(07:24) Explainability in AI models
(08:57) Privacy concerns in AI analysis
(10:34) Open source model benchmarking
(11:33) Motivation for open source contributions
(12:28) Long-term open source involvement
(13:50) Mentoring in open source projects
(15:19) Starting with open source
(16:35) Contributing beyond code
(17:50) Building community through collaboration
(18:48) Power of open source accessibility
(19:52) Open source challenges
(20:38) Success factors for open source projects
(22:58) Career-defining moments
(24:49) First encounter with open source
(26:28) Introduction to AI through NLP
(28:02) Pivoting from PhD to industry
(29:02) Career lessons and continuous learning
(30:13) Advice for women in tech

(01:22) Research on skills and technology
(01:47) Changes in job search methods
(02:29) Algorithmic hiring and firm adaptations
(03:25) New roles from technology
(04:54) Ripple effects of technological changes
(06:06) Skating to where the puck is
(07:07) Building future-proof skills
(08:02) AI tools in daily work
(09:00) AI's impact on jobs
(10:08) Mega trends: technology, climate, demographics
(11:17) Testing tools and adapting workflow
(12:44) AI and future of hiring
(13:45) Longer time to hire with tech
(15:34) AI reshaping the labor market
(17:03) Gaining skills for complex roles
(18:20) Turing Trap: AI vs human augmentation
(19:05) Challenges for early career seekers
(20:26) Mentorship and human capital development
(21:41) Updating skills before job transitions
(23:21) Impact of job loss on earnings
(24:52) Career conversations and landscape awareness
(26:31) Advice for young researchers
(27:24) Staying motivated through research

(Intro 00:00:00) Generative AI discomfort.

(00:00:36) Excited for data and MLOps.

(00:01:10) First one-on-one chat.

(00:02:29) Career transitions and "aha" moments.

(00:03:05) Bored easily, switched roles.

(00:05:22) Starting with startups.

(00:07:27) Learning skills at startups.

(00:09:26) Startups vs. big companies.

(00:11:55) Best time to join startups.

(00:13:41) Risky career, conservative money.

(00:15:27) Startups in twenties ideal.

(00:16:03) Label Box overview, responsibilities.

(00:19:50) Importance of data quality.

(00:24:05) Exciting Gen AI use cases.

(00:27:56) Future of AI agents.

(00:31:12) Justifying data quality investment.

(00:36:54) AI concerns and excitement.

(00:42:50) Building your community.

Join Women in Data's Datathon for free here: (https://womenindata.mn.co/spaces/10708034/about)

(00:00:21) Importance of soft skills for technical professionals

(00:00:39) Introduction to the guest's extensive career and leadership in the military and data fields

(00:01:16) Discussion on breaking barriers in a male-dominated field

(00:01:45) Leadership journey and pivotal moments in career

(00:02:12) Starting a non-traditional career and early involvement with data

(00:03:04) Returning to federal service after 9/11 and subsequent roles in intelligence

(00:03:30) Impact of being selected as a White House leadership fellow

(00:04:25) Importance of breadth and depth in skill development

(00:05:19) How to lead without authority or official title

(00:06:02) Developing emotional intelligence (EQ) and soft skills

(00:06:27) Importance of partnerships and collaboration in the data and AI community

(00:07:03) Challenges of soft skills for technical professionals

(00:07:45) Practical advice for developing soft skills and teamwork

(00:08:44) Peer mentoring and the value of collaborative learning

(00:09:54) Adaptability in a rapidly changing tech environment

(00:10:38) The need to dream big and be prepared for future roles

(00:11:09) Lifelong commitment to curiosity and upskilling

(00:12:00) Encouragement to apply for challenging roles

(00:13:10) Starting an office from scratch as a Chief Data Officer

(00:14:15) Using an agile approach to deliver capability and value

(00:15:16) Building partnerships and collaborating with military executives

(00:16:27) Importance of strategic communication in leadership

(00:17:34) Balancing technical skills with leadership responsibilities

(00:18:22) Fostering innovation and creativity within data and AI teams

(00:19:34) Hosting hackathons and datathons to solve hard problems

(00:21:00) Providing a safe environment for team creativity and risk-taking

(00:21:51) Balancing technical knowledge with leadership roles

(00:22:48) Staying current through teaching and continuous learning

(00:24:13) Teaching as a way to learn and stay relevant

(00:25:01) Encouraging participation in datathons and hackathons

(00:25:52) Advice for emerging leaders on staying relevant and dreaming big

(00:27:30) The importance of lifelong learning and curiosity

(00:27:55) Plans after retirement and ongoing impact in the data field

(00:30:10) Building the next generation of leaders through volunteering and advising

(00:00:00) Intro (00:00:22) Introduction to Snowflake and AI (00:00:34) Guest introduction and background (00:00:57) Excitement about the conversation (00:01:13) Impressions of Snowflake's office (00:01:21) Discussion on Snowflake Summit and AI/ML announcements (00:01:52) Overview of Snowflake as a unified platform (00:02:16) Evolution of Snowflake from data warehousing to AI (00:02:37) AI features and tools in Snowflake (00:02:55) Announcements at Snowflake Summit (00:03:05) Getting started with Snowflake (00:03:16) Starting with Snowflake based on specific roles (00:03:45) Specialization within Snowflake's platform (00:03:55) Deciding where to start with Snowflake (00:04:25) Importance of Python and SQL in Snowflake (00:05:35) Snowflake as a platform for various roles (00:05:57) Snowflake's learning platform and resources (00:06:05) Overview of Snowflake's developer resources (00:06:17) Introduction to Snowflake's North Star program (00:06:53) North Star courses for different workloads (00:07:13) North Star's foundation course (00:07:35) Learning paths within North Star (00:07:59) Availability of North Star courses on Coursera (00:08:34) Discussion on teaching generative AI courses (00:09:18) Differences between teaching online and live talks (00:09:37) Experiences in writing scripts for courses (00:10:30) Challenges in creating course content (00:11:29) Tips for writing course scripts (00:11:50) Experiences in teaching and content creation (00:12:12) Changes in NLP and language models over the years (00:12:24) Evolution of interest in NLP (00:13:21) Excitement about the resurgence of NLP (00:14:07) Shift in momentum for AI research (00:14:38) Concerns about the use of generative AI (00:14:59) Misuse of LLMs in outdated tasks (00:15:54) Pessimism about the overuse of LLMs (00:16:15) Exploring correct use cases for LLMs (00:16:29) Potential use cases for LLMs (00:17:04) Example of Snowflake's internal use of LLMs (00:17:25) Chatbots as a first line of defense in support (00:18:19) Content generation with LLMs (00:18:40) Example of a content engine using LLMs (00:19:23) Excitement about enterprise use of LLMs (00:19:59) Benefits of internal knowledge sharing using LLMs (00:20:03) Use cases for LLMs in organizations (00:21:04) Encouragement to stick with niche interests (00:21:50) Shift in focus from computer vision to NLP (00:22:01) Advice for PhD students on choosing specializations (00:22:35) Importance of following research trends (00:23:15) Recommendations for getting started in NLP (00:24:18) Importance of understanding fundamentals in NLP (00:24:28) Starting with core NLP papers (00:24:58) Keeping up with new research in AI (00:25:05) Strategies for staying updated on AI research (00:26:23) Following key figures in AI on social media (00:26:45) Trends in AI research and their impact (00:27:14) Challenges in staying current with AI papers (00:27:43) Use of social media for AI research (00:28:27) Academic communities on different platforms (00:29:36) Visual learning in AI education (00:29:55) Excitement about the future of AI (00:30:06) AI's impact across industries (00:30:15) Exploration of new use cases in AI (00:30:46) Examples of creative AI use cases (00:31:32) Curiosity about AI's future impact on industries (00:31:50) Potential changes in education through AI (00:33:05) Excitement about new AI-driven education tools (00:33:40) Personalized education with AI (00:33:47) The future of women in data and tech

Join us for an insightful episode of the Data Bytes Podcast featuring Gaia Bellone, Chief Data Scientist at Prudential Financial. Gaia's illustrious career spans roles such as Senior Vice President at KeyBank and Executive Director at Chase, highlighting her expertise in data science and AI.

In this episode, Gaia shares her career journey, from her academic beginnings at Carnegie Mellon University and Università Bocconi to leading groundbreaking projects in the financial services industry. Listen in as she discusses the evolving role of data science, key industry trends, and provides valuable advice for aspiring data scientists on balancing professional growth with personal well-being.

(Intro 00:00:00) Importance of asking for help and admitting ignorance.

(00:00:31) Introduction to Colleen's journey into data analytics.

(00:01:23) Background in athletics and transition to data career.

(00:02:12) Current role in healthcare and previous athletic career.

(00:02:48) Transferable skills from athletics to data analytics.

(00:03:47) Work ethic, resilience, and team collaboration in data.

(00:06:20) Balancing work and personal life for sustainable career.

(00:07:33) Avoiding burnout by pacing yourself in your career.

(00:08:05) Importance of taking breaks to recharge and solve problems.

(00:12:18) Overcoming feeling behind when changing careers.

(00:13:09) Not pretending to know everything and asking questions.

(00:14:26) Bringing hard work mentality from athletics to data.

(00:16:28) Importance of mentorship and asking for advice.

(00:20:25) Discovering data analytics as a career option.

(00:21:18) Background in data collection and analysis in athletics.

(00:23:31) First job experiences in tech and real estate.

(00:25:47) Applying data skills to various industries and interests.

(00:27:38) Embracing challenges and continuous learning in data.

(00:28:57) Finding balance between new challenges and stable tasks.

(00:30:07) Advice for career changers entering data analytics.

(00:32:07) Learning on the job and continuous education.

(00:34:07) Current role and future aspirations in leadership.

(00:36:11) Being grateful for the opportunity to work in data.

(00:00:00) - Introduction by Sol Rashidi on data management challenges.(00:00:36) - Sadie welcomes Sol and discusses her background and accolades. (00:02:21) - Sol addresses the impact of AI hype on C-suite roles and data governance. (00:03:17) - Sol explains her approach to overcoming data challenges.(00:04:16) - Discussion on the evolving roles within the C-suite and the challenges of unclear division of labor. (00:05:59) - Sol on the responsibilities of a chief AI officer and the practical challenges in strategy and delivery. (00:07:05) - Sadie and Sol discuss the added complexity of new C-suite roles. (00:08:16) - Sol outlines an ideal CDO role and its necessary scope.(00:10:58) - Sol discusses professional relationships within the C-suite and strategies for negotiation. (00:14:28) - Sol promotes a course on transitioning from a practitioner to the C-suite. (00:15:12) - Discussion on the challenges and strategies for effective leadership in the C-suite. (00:18:23) - Sol on learning from failures and the importance of asking for what you want. (00:21:17) - Discussion on why few women hold leadership positions and how to negotiate effectively. (00:26:08) - Sadie discusses the role of tools like ChatGPT in professional communication. (00:30:06) - Sol shares her plans post-retirement and her new book release.

• [00:00:00] Intro and discussion on information retrieval
• [00:00:36] Sadie welcomes Harpreet, discussing his achievements and connections
• [00:01:46] Early interactions and courses between Harpreet and Sadie
• [00:02:27] Updates on Sadie's SQL course and new roles
• [00:03:42] Harpreet discusses following curiosity in his career and AI's growth
• [00:06:55] Future of data science roles and specialization within the field
• [00:09:40] Unique skills of data scientists and transition to deep learning
• [00:15:23] Discussion on benchmarks, datasets, and introduction to retrieval augmented generation (RAG)
• [00:20:16] Explanation and potential applications of RAG models
• [00:24:09] AI applications in various industries and predictions for future AI integration
• [00:29:02] Harpreet's personal productivity gains from AI and new tools enhancing workflows
• [00:34:58] Harpreet's podcast impact on his career and future plans
• [00:40:44] Recommendations for staying updated in deep learning
• [00:45:36] Harpreet invites listeners to join his new research initiative

Intro [00:00:00]

Priscila discusses the importance of an accessible data infrastructure and data literacy.

[00:00:41] Sadie:

Introduction of Priscila Papazisis, her achievements and roles.

[00:01:06] Sadie:

Discussion on AI and data literacy strategies for organizations.

[00:01:27] Priscila:

Priscila responds about strategies for fostering data literacy in organizations.

[00:02:03] Priscila:

Importance of executive support in building a data-driven culture.

[00:02:36] Priscila:

Training programs for data literacy across various companies.

[00:03:05] Priscila:

Reiteration of the need for accessible data infrastructure.

[00:03:42] Priscila:

Emphasizes employee engagement with data for decision-making.

[00:04:12] Priscila:

Continuous improvement and promoting an environment for feedback.

[00:04:36] Sadie:

Challenges in providing and encouraging training in organizations.

[00:05:07] Priscila:

Finding time and interest for employee training in a busy schedule.

[00:06:25] Priscila:

Importance of understanding statistical concepts, data visualization, and AI in business.

[00:07:39] Priscila:

Critical thinking and application of AI and machine learning in business.

[00:08:20] Priscila:

Understanding industry trends and market dynamics.

[00:08:50] Sadie:

Priscila shares examples of business value from data literacy programs.

[00:09:10] Priscila:

Story about enhancing logistics in a health insurance company.

[00:10:23] Priscila:

The impact of data literacy programs she initiated.

[00:11:16] Priscila:

Operational improvements from data-driven decisions.

[00:12:42] Priscila:

Importance of practical results from data products.

[00:13:19] Priscila:

Engaging in continuous learning and leveraging data literacy.

[00:14:10] Sadie:

Discussing common pitfalls in implementing data and AI programs.

[00:14:28] Priscila:

Key challenges and advice for data and AI program implementation.

[00:16:45] Sadie:

Advice for individuals improving their data and AI literacy.

[00:17:09] Priscila:

Recommended resources and personal approaches to data literacy.

[00:18:37] Priscila:

Emphasis on data storytelling and problem-solving with data.

[00:20:42] Sadie:

The role of storytelling in data and AI.

[00:21:11] Sadie:

Priscila's journey into the data field.

[00:22:10] Priscila:

Career path and evolution in data roles.

[00:23:16] Priscila:

Contributions to the data community and networking.

[00:25:36] Sadie:

The value of community in data and AI.

[00:26:27] Sadie:

Final advice for women in data and AI careers.

[00:00:00] - Ania discusses her approach to energy use and following curiosity without questioning its practicality.

[00:00:34] - Introduction of Ania Cwojdzinska as a vibrant member of the Women in Data community, mentioning her background and achievements.

[00:01:24] - Sadie asks Ania about the intersection of data science and psychology and how Ania incorporates both in her work.

[00:03:02] - Ania shares her journey into data science during her PhD, highlighting the benefits of interdisciplinary approaches.

[00:04:52] - Discussion on the rigors of academic research and its relevance to data careers.

[00:05:47] - Ania talks about her surprise at the continued use of Excel in industry and the transition from academia to industry.

[00:08:05] - Sadie inquires if Ania has started using Excel in her industry work.

[00:08:27] - Exploring Ania's growth mindset and whether it was innate or developed over time.

[00:10:46] - Ania discusses leading the growth group for Women in Data and the various activities and workshops they conduct.

[00:13:35] - The unique aspects of the Women in Data growth group and its contribution to the community.

[00:14:42] - The inclusivity and openness of the Women in Data community.

[00:15:33] - Ania reflects on her advice for women in data careers, emphasizing self-awareness and the blend of personal interests with professional skills.

[00:20:16] - Sadie thanks Ania for her mentorship and contributions to the community.

[00:20:45] - Ania shares her most proud accomplishments: fostering lifelong friendships and achieving self-contentment.

[00:24:31] - Sadie and Ania discuss redefining success and the importance of being comfortable and happy with oneself.

Discussion on AI in Business

• [00:01:00] Sadie introduces the main conversation topics.
• [00:01:20] Cal shares his anticipation for future meetups.
• [00:01:26] Discussion on the rapid developments in AI.
• [00:02:03] Key indicators companies overlook when identifying AI opportunities.

• [00:02:28] Cal elaborates on challenges and solutions in AI opportunity realization and measurement.
• [00:03:41] Approaches to mapping out the value of AI projects.

• [00:04:53] Sadie questions the average time to see benefits from AI implementation.
• [00:05:52] Cal discusses AI implementation timelines and the importance of build vs. buy decisions.

• [00:08:20] Discussion on successful integration of AI into workflows and overcoming adoption barriers.
• [00:09:23] The role of AI literacy in preventing unintended consequences.

• [00:13:08] Conversation shifts to responsible AI and baseline principles for ethical considerations.
• [00:14:16] Cal emphasizes the comprehensive nature of responsible AI beyond ethics.

• [00:20:33] Cal shares his journey to founding Panda Data and its acquisition.
• [00:24:52] Discussion on navigating the challenges in highly regulated industries.
• [00:27:41] Cal's personal motivations and overcoming obstacles.
• [00:32:09] What's next for Cal at Further and the vision for AI auditing practice.

• [00:36:14] Cal shares his personal goal of visiting 100 countries and its relevance to understanding AI and data science.

Intro & Discussion on AI Career and Passion
00:00:00 - Introduction and advice on pursuing AI as a career.
00:00:17 - The importance of passion and intellectual rigor in AI.

Erica's Background & Journey into AI
00:00:32 - Introduction to Erica Luna Lee: her background in tech and founding Women of AI.
00:01:16 - Erica's entry into the AI space and her journey from research to tech leadership.

Moving to Silicon Valley & Building a Community
00:02:10 - Erica's move to Silicon Valley and the importance of community in career development.
00:03:09 - The unique ecosystem of Silicon Valley for technology and innovation.

Career Advancement & Challenges
00:04:12 - Insights on career advancement and the significance of choosing the right manager.
00:09:06 - Discussing the challenges for women in leadership roles and how to navigate them.

The Importance of Support Systems
00:12:47 - The critical role of support systems for female executives and founders.
00:16:51 - Erica shares advice for female founders and the importance of having a supportive network.

Personal Growth & Finding Balance
00:22:49 - Erica talks about personal growth, balancing work with personal life, and the importance of hobbies and social connections.

Outlook on AI and Future Technologies
00:34:14 - Erica's take on the current state of AI and speculation on future waves of technology innovation.

Closing Remarks
00:39:52 - Final thoughts and encouraging words from Erica.
00:40:03 - Outro and information on joining Women in Data.

Dive into the world of Machine Learning Operations (MLOps) with the remarkably insightful Maria Vechtomova. She is an MLOps Tech Lead at Ahold Delhaize and Co-Founder of Marvelous MLOps. TimeStamps:

00:00:00 - Introduction to the episode with Maria Vechtomova. 00:00:32 - Sadie introduces Maria Vechtomova and her career. 00:01:06 - Maria expresses her appreciation for the DataBytes podcast. 00:02:06 - Conversation about past experiences with piano lessons. 00:03:12 - Maria's transition from economics to data and MLOps. 00:04:31 - The impact of having inspiring colleagues. 00:06:07 - Discussion on the value of freedom and management styles in Maria's career. 00:07:14 - Maria talks about the founding of Marvelous MLOps. 00:09:09 - The impact of publishing articles and LinkedIn engagement. 00:10:39 - How the field of MLOps has evolved over the years. 00:14:10 - The state of MLOps practices in the industry. 00:16:27 - Advice for data scientists on best practices for MLOps collaboration. 00:18:19 - Ideal handoff models between data engineering, data science, and MLOps teams. 00:20:58 - Describing a typical week for an MLOps engineer. 00:24:21 - How to balance leadership and technical knowledge. 00:26:26 - Discussing the representation of women in MLOps and tech. 00:29:51 - Conclusion and thanks to Maria and listeners. 00:30:05 - Outro with an advertisement for Women in Data community memberships.

Join Women in Data as a Member: https://womenindata.mn.co/plans/389742?bundle_token=786e315f336334cfdfd416404db1fbf5&utm_source=manual

Scott Taylor, a principal consultant at MetaMeta Consulting, brings a wealth of experience and a unique perspective on the strategic importance of proper data management. Known for making data management concepts accessible and engaging, Scott has transformed the way businesses view their data, emphasizing the "strategic WHY" over the "technical HOW." In this episode, we'll explore how storytelling can bridge the gap between data and business strategy, the innovative use of data puppets to create fun and memorable content, and Scott's own journey in the data world. With accolades such as DataIQ 100 and CDO Magazine Leading Data Consultant, Scott's approach to data storytelling is not to be missed. Whether you're a data professional looking to inspire change within your organization or just curious about the power of data stories, this episode is packed with insights, tips, and tales from the forefront of data management.

Amy Hodler is the Founder, Graph Evangelist, GraphGeeks

Tune in for a rhythm-packed episode of Data Bytes Podcast, where we hit the high notes with Max Hilsdorf, a maestro in data science and a virtuoso in musicology, currently orchestrating success as a Data Science Consultant at Statworx. In this upbeat chat, Max conducts us through the electrifying world of AI in music, from remixing the creation process to auto-tuning the future of melodies. We'll riff on everything from AI's headline gigs in music genres to its backstage impact on composers and musicians. Max shares his own chart-topping journey of harmonizing data with do-re-mis, including encore-worthy projects and how he composes his work's score, balancing algorithms and arpeggios. As we crescendo into the future, Max forecasts the next big hits in AI music, ethical encores, and how AI might scout the next superstar from the garage band to the grand stage. So, plug in, turn up the volume, and let's jam to the future of music and AI with Max Hilsdorf—it's going to be a smash hit!

We dive into the intricate world of data engineering with none other than Joe Reis, a celebrated figure in the tech education and data engineering arena. Joe, currently wearing multiple hats as an Instructor at DeepLearning.AI, CEO of Ternary Data, author with O'Reilly Media, and an adjunct professor at the University of Utah, brings a wealth of knowledge and experience to our table.

In the latest episode of the Data Bytes Podcast, we had the pleasure of hosting Megan Lieu, a prominent figure in the data science community. Currently working at Deepnote and as an instructor at LinkedIn Learning, Megan brings a wealth of experience from her diverse roles in data science and analytics.

Andy Cotgreave, Senior Data Evangelist at Tableau, sits down with us and talks about the future of dashboarding. We also chat about The Evolution of Tableau Dashboards and Data Communication and Storytelling in Tableau Dashboards. He has a wealth of experience and this episode is packed full of insights.

Join us on the Data Bytes Podcast as we explore the dynamic world of tech ecosystems, innovation, and inclusive AI communities with Louis Stewart, Head of Strategic Initiatives, Developer Ecosystem at NVIDIA.

Discover the ingredients for successful tech ecosystems, the impact of government policies, and real-world examples of thriving tech hubs. Learn about fostering diversity and ethics in AI, and gain valuable advice from Louis Stewart's career journey.

In this episode of the Data Bytes Podcast, we're joined by Yesenia Espinal, Associate Vice President for Data Analytics at Howard University. With her extensive background in data management and institutional research, Yesenia offers a unique perspective on the role of data analytics in higher education.

We had the privilege of chatting with Stefanie Khan, the Director of Business Intelligence & Data Analytics at UPS, and a visiting professor at DeVry University. Here’s a quick rundown of what we covered:

A Journey Through Data Worlds.

Analytics Modernization at UPS.

Championing Women in Tech.

In this insightful episode of Data Bytes, we sit down with Tracy Ring, a luminary in the intersection of AI and Life Sciences. Currently serving as the CDO and Global Generative AI lead in Life Sciences at Accenture, Tracy brings a wealth of experience from her previous roles at Deloitte, Capgemini, Walgreen's, Abbott Labs, and Kraft Foods. Her educational background from Harvard Business School and Miami University has laid a strong foundation for her exceptional career.

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In our latest episode of Data Bytes, we were honored to host Shinji Kim, a multifaceted leader in the technology industry and the Founder & CEO of Select Star. With a wealth of experience that spans multiple roles, from startup advising to product management, and academic backgrounds from renowned institutions like the University of Waterloo and Stanford University, Shinji is a wellspring of knowledge on data discovery and management.

Are you curious about what distinguishes a Senior Data Analyst from a junior one? Or perhaps you're an aspiring SQL instructor looking for tips to deliver an effective learning experience? This episode is the treasure trove you've been waiting for!

We are thrilled to have Jess Ramos, a Senior Data Analyst at CrunchBase and a LinkedIn Learning Instructor, share her expertise and insights. With years of experience in the fast-paced corporate world, Jess reveals the nuances of a Senior Data Analyst's role and how they become linchpins in decision-making processes within their organizations. Learn how you can equip yourself with advanced skills and methodologies to maintain your relevance in this ever-evolving field.

But that's not all! Jess also delves into the art of teaching SQL effectively. From breaking down complex topics for beginners to staying current in a rapidly changing tech landscape, Jess provides a wealth of tips for educators aiming to foster a dynamic and comprehensive learning environment.

Don't miss this enlightening conversation that bridges the gap between data analysis and effective education in SQL. Tune in, get inspired, and level up your data game! 📊💡

About Jess:

Jess is a Senior Data Analyst at Crunchbase and an instructor with LinkedIn Learning. She has spent most of her career in the finance and tech industry working on SaaS products. Jess creates content on data, SQL, and tech careers on LinkedIn, Instagram, and TikTok and has a passion for sharing what she loves with her 110K+ followers. She wants to make data analytics accessible for all while also offering realistic expectations for what it's like in the field.

Join us in this insightful episode of Data Bytes as we delve into the dynamic world of data, AI, and storytelling with our guest, Camila Manera. With a diverse background in design, user experience, data science, and AI, Camila has made strategic decisions for major organizations like The Walt Disney Company and is now the Co-Founder and Data Director at Libro de Pases. Discover how she's used data and AI to shape strategies, enhance storytelling, and find out what's on the horizon for the future of user experience. Don't miss this inspiring conversation with a trailblazer who's breaking barriers in the tech industry. Subscribe now and stay tuned for more engaging discussions on Women in Data's Data Bytes podcast! Connect with Camila on LinkedIn: https://www.linkedin.com/in/camila-manera-910510a2/ to stay updated on her incredible journey and insights.

Join us in this insightful conversation with Lisa Cohen, an accomplished Data Science executive with a remarkable career spanning Google, Twitter, and Microsoft. We dive into the essential aspects of managing data science projects and the key objectives for onboarding to a data science team. Discover Lisa's journey into data science and her team's challenges at Google. Don't miss this opportunity to learn from a true industry expert!

Connect with Lisa Cohen on LinkedIn: https://www.linkedin.com/in/cohenlisa/

Join us for "AI for Business Intelligence and Analytics" with our special guest, Mico Yuk! Mico, a trailblazer in the field, is the Chief Data Evangelist at Count.co and Co-founder of BI Brainz. In this podcast, we dive into three key areas:

AI and BI Fusion: Explore how AI is reshaping Business Intelligence and Analytics and whether it's time to update the BIDS framework.

DE&I Action Plan: Understand the challenges and solutions for achieving diversity and inclusion in organizations, with practical steps and metrics for progress.

Mico's Journey: Hear the fascinating story of how Mico founded the BI/Analytics Data Storytelling Framework (BIDS) and gain insights into her career and advice for women in data.

This podcast promises engaging discussions, expert insights, and a dose of inspiration from Mico Yuk.

Stay connected with Mico on LinkedIn: https://www.linkedin.com/in/micoyuk/

Join us for an insightful episode of Data Bytes as we explore "The Future of Data Science" with Dr. Jodie Burchell, Developer Advocate in Data Science at JetBrains and former Lead Data Scientist at Verve Group Europe. With a diverse background in clinical psychology, biostatistics, and extensive data science experience, Dr. Burchell provides valuable insights. We delve into two key topics: Data Science Evolution: Discover how the role of data science has transformed over the last decade and what lies ahead with AI advancements. Bias-Free Hiring: Learn how to address bias in hiring practices from Dr. Burchell's perspective as a hiring manager and create a more inclusive recruitment process. Additionally, Dr. Burchell shares her unconventional career journey and offers advice for aspiring data scientists. In a rapid-fire round, we get to know her personal interests and goals. Tune in for a candid, unscripted conversation. Connect with Dr. Burchell on LinkedIn and Twitter, and stay updated on Data Bytes for more captivating discussions. Stay curious and creative! Connect with Dr. Jodie Burchell: Twitter: https://twitter.com/t_redactyl Mastodon: @t_redactyl@fosstodon.org Blog: https://t-redactyl.io/ GitHub: https://github.com/t-redactyl JetBrains: https://www.jetbrains.com/

Today, we delve deep into the art and science of constructing formidable teams in the realm of analytics and AI with a trailblazer in the industry, Sayandeb Banerjee. As the CEO and Co-founder of The Math Company and Co.dx, and with a rich tapestry of experiences across giants like MU Sigma, GE-Money Americas, GECIS, and ICICI Bank, Sayandeb offers a unique vantage point. Highlights: Building High-Caliber Teams: Ever wondered what goes into creating elite teams in the analytics industry? Sayandeb breaks down the ingredients. From attracting top talent to innovative training paradigms, gain insights into the practices that make TheMathCompany stand out. Innovation in the Industry: As technology gallops ahead, how will analytics keep pace? Sayandeb shares his forward-thinking perspective on the evolution we might witness in the next decade. Personal Insights: From the driving forces behind his unwavering passion to valuable advice for budding analytics enthusiasts, Sayandeb offers a candid look into his journey. Plus, any regrets or do-overs? He shares those too.