DataFramed

• #295 How To Get Hired As A Data Or AI Engineer with Deepak Goyal, CEO & Founder at Azurelib Academy

  The role of data and AI engineers is more critical than ever. With organizations collecting massive amounts of data, the challenge lies in building efficient data infrastructures that can support AI systems and deliver actionable insights. But what does it take to become a successful data or AI engineer? How do you navigate the complex landscape of data tools and technologies? And what are the key skills and strategies needed to excel in this field? Deepak Goyal is a globally recognized authority in Cloud Data Engineering and AI. As the Founder & CEO of Azurelib Academy, he has built a trusted platform for advanced cloud education, empowering over 100,000 professionals and influencing data strategies across Fortune 500 companies. With over 17 years of leadership experience, Deepak has been at the forefront of designing and implementing scalable, real-world data solutions using cutting-edge technologies like Microsoft Azure, Databricks, and Generative AI.In the episode, Richie and Deepak explore the fundamentals of data engineering, the critical skills needed, the intersection with AI roles, career paths, and essential soft skills. They also discuss the hiring process, interview tips, and the importance of continuous learning in a rapidly evolving field, and much more.Links Mentioned in the Show:AzureLibAzureLib Academy Connect with DeepakGet Certified! Azure FundamentalsRelated Episode: Effective Data Engineering with Liya Aizenberg, Director of Data Engineering at AwaySign up to attend RADAR: Skills Edition New to DataCamp?Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

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• #294 Six Skills Data Professionals Need To Succeed with Abhijit Bhaduri, Brand Evangelist & Former General Manager of Global L&D at Microsoft

  As data professionals, mastering the technical aspects of AI and data is only half the battle. The real challenge lies in effectively communicating insights to drive action and influence decisions. How do you ensure your data stories resonate with diverse audiences? It's not just about the numbers—it's about crafting a narrative that speaks to stakeholders. What strategies can you employ to make your insights not only heard but impactful?Abhijit Bhaduri advises organizations on talent and leadership development. As the former Partner and GM Global L&D of Microsoft, Abhijit led their onboarding and skilling strategy especially for people managers. Forbes described him as "the most interesting generalist from India." The San Francisco Examiner described him as the "world’s foremost expert on talent and development" and among the ten most sought-after brand evangelists. Abhijit also teaches in the Doctoral Program for Chief Learning Officers at the University of Pennsylvania. Prior to being at Microsoft, he led an advisory practice helping organizations build their leadership, talent and culture strategy. His latest book is called "Career 3.0 – Six Skills You Must Have To Succeed."In the episode, Richie and Abhijit explore the complexities of modern career paths, the importance of experimentation and adaptability, the evolution of career models from 1.0 to 3.0, the impact of longevity on career strategies, essential skills for career advancement, and much more.Links Mentioned in the Show:Abhijit’s newsletter on Linkedin - Dreamers and Unicorns Abhijit’s Book - Career 3.0 – Six Skills You Must Have To SucceedConnect with AbhijitSkill Track: AI FundamentalsRelated Episode: Career Skills for Data Professionals with Wes Kao, Co-Founder of MavenSign up to attend RADAR: Skills EditionNew to DataCamp?Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

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• #293 Unlocking Humanity in the Age of AI with Faisal Hoque, Founder and CEO of SHADOKA

  The integration of AI into everyday business operations raises questions about the future of work and human agency. With AI's potential to automate and optimize, how do we ensure that it complements rather than competes with human capabilities? What measures can be taken to prevent AI from overshadowing human input and creativity? How do we strike a balance between embracing AI's benefits and preserving the essence of human contribution?Faisal Hoque is the founder and CEO of SHADOKA, NextChapter, and other companies. He also serves as a transformation and an innovation partner for CACI, an $8B company focused on U.S. national security. He volunteers for several organizations, including MIT IDEAS Social Innovation Program. He is also a contributor at the Swiss business school IMD, Thinkers50, the Project Management Institute (PMl), and others. As a founder and CEO of multiple companies, he is a three-time winner of Deloitte Technology Fast 50™ and Fast 500™ awards. He has developed more than 20 commercial platforms and worked with leadership at the U.S. DoD, DHS, GE, MasterCard, American Express, Home Depot, PepsiCo, IBM, Chase, and others. For their innovative work, he and his team have been awarded several provisional patents in the areas of user authentication, business rule routing, and metadata sorting.In the episode, Richie and Faisal explore the philosophical implications of AI on humanity, the concept of AI as a partner, the potential societal impacts of AI-driven unemployment, the importance of critical thinking and personal responsibility in the AI era, and much more.Links Mentioned in the Show:SHADOKAFaisail’s WebsiteConnect with FaisalSkill Track: Artificial Intelligence (AI) LeadershipRelated Episode: Making Better Decisions using Data & AI with Cassie Kozyrkov, Google's First Chief Decision ScientistSign up to attend RADAR: Skills EditionNew to DataCamp?Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

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• #292 Offline A/B Testing: Experimentation in Brick and Mortar with Philipp Paraguya, Chapter Lead Data Science at ALDI DX

  In the retail industry, data science is not just about crunching numbers—it's about driving business impact through well-designed experiments. A-B testing in a physical store setting presents unique challenges that require careful planning and execution. How do you balance the need for statistical rigor with the practicalities of store operations? What role does data science play in ensuring that test results lead to actionable insights? Philipp Paraguya is the Chapter Lead for Data Science at Aldi DX. Previously, Philipp studied applied mathematics and computer science and has worked as a BI and advanced analytics consultant in various industries and projects since graduating. Due to his background as a software developer, he has a strong connection to classic software engineering and the sensible use of data science solutions.In the episode, Adel and Philipp explore the intricacies of A-B testing in retail, the challenges of running experiments in brick-and-mortar settings, aligning stakeholders for successful experimentation, the evolving role of data scientists, the impact of genAI on data workflows, and much more.Links Mentioned in the Show:Aldi DXConnect with PhilippCourse: Customer Analytics and A/B Testing in PythonRelated Episode: Can You Use AI-Driven Pricing Ethically? with Jose Mendoza, Academic Director & Clinical Associate Professor at NYUSign up to attend RADAR: Skills EditionNew to DataCamp?Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

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• #291 Developments in Speech AI with Alon Peleg & Gill Hetz, COO and VP of AI at aiOla

  The integration of speech AI into everyday business operations is reshaping how we communicate and process information. With applications ranging from customer service to quality control, understanding the nuances of speech AI is crucial for professionals. How do you tackle the complexities of different languages and accents? What are the best practices for implementing speech AI in your organization? Explore the transformative power of speech AI and learn how to overcome the challenges it presents in your professional landscape.Alon Peleg serves as the Chief Operating Officer (COO) at aiOla, a position he assumed in May 2024. With over two decades of leadership experience at renowned companies like Wix, Cisco, and Intel, he is widely recognized in the tech industry for his expertise, dynamic leadership, and unwavering dedication. At aiOla, Alon plays a key role in driving innovation and strategic growth, contributing to the company’s mission of developing cutting-edge solutions in the tech space. His appointment is regarded as a pivotal step in aiOla’s expansion and continued success.Gill Hetz is the VP of AI at aiOla where he leverages his expertise in data integration and modeling. Gill was previously active in the oil and gas industry since 2009, holding roles in engineering, research, and data science. From 2018 to 2021, Gill held key positions at QRI, including Project Manager and SaaS Product Manager.In the episode, Richie, Alon, and Gill explore the intricacies of speech AI, its components like ASR, NLU, and TTS, real-world applications in industries such as retail and pharmaceuticals, challenges like accents and background noise, and the future of voice interfaces in technology, and much more.Links Mentioned in the Show:aiOlaConnect with Alon and GillCourse: Spoken Language Processing in PythonRelated Episode: Building Multi-Modal AI Applications with Russ d'Sa, CEO & Co-founder of LiveKitSign up to attend RADAR: Skills EditionNew to DataCamp?Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

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