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This week, Frank sat down with Dr. Jacob Leverich—Stanford PhD, cofounder of Observe, and a veteran of the Google MapReduce team and Splunk. Jacob’s journey, from tinkering with video game code as a kid, to innovating at the cutting edge of distributed systems and energy efficiency, is as inspiring as it is informative.
Key TakeawaysEarly Tech Roots: Hear how curiosity with QBasic and classic PCs (think IBM PCXT and Commodore) put Jacob on a path to high-impact data engineering.MapReduce, Dremel, & the Rise of Big Data: Jacob pulls back the curtain on working with some of the most influential data processing tools at Google and how these systems shifted the entire data landscape (hello, BigQuery!).Building Efficient Systems: It’s not just about scale—energy efficiency and performance optimization are the unsung heroes of today’s data infrastructure. Jacob explains why making things “just work” isn’t enough anymore.The Realities of Ops & Observability: Remember the days of grepping logs at 2AM? There’s a better way. Jacob shares how platforms like Observe help teams consolidate, visualize, and act on operational data—turning chaos into actionable insight.Bridging Data & Ops: The lines between data observability and traditional ops are blurring, and Jacob’s unique experience shows how best practices from data warehousing are finally making ops smoother (and less sleepless).Power Concerns & the Future: As data grows, so does energy consumption in data centers. Find out why optimization isn’t just good for performance—it’s key to sustainability.
Timestamps00:00 Interview with Jacob Levrich
05:59 Journey into Game Programming
06:43 "Pursuing Fast Video Game Code"
10:23 Data Processing and Power Efficiency
16:11 Snowflake's Transformative Database Approach
19:18 Journey to Data Management Industry
21:37 Data Products: Solving Core Challenges
27:07 Early Web Log Analysis Techniques
28:57 Consolidating Data for Efficiency
33:23 Specialized Tools and Context Switching
35:43 Unique Dual-Expertise in Tech
38:58 User-Centric Business Strategies
42:13 IP Data Analysis in Cloud
47:23 Electricity Transport Upsets Local Farms
48:25 Shift to Parallel Computing
52:10 Hardware Specialization & Software Optimization
57:32 "Stay Data Driven"
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Welcome to another insightful episode of Data Driven! Today, we're diving into the world of warehouse-native analytics with our special guest, István Mészáros, cofounder of Mitsu. Join us as we explore how Mitsu empowers startups and enterprises with a new approach to data analytics. From his beginnings as a CERN physicist to becoming an open-source evangelist and finally a startup founder, István shares his unique journey through the data industry.
We'll discuss the motivation behind Mitsu's distinct branding, reminiscent of Hello Kitty, and why standing out in today's crowded market is crucial. István also reveals the challenges and strategies of building a data company in Europe, and how Mitsu simplifies analytics by offering a self-service solution without the high costs associated with existing market leaders.
Timestamps0:00 Introducing István Mészáros
05:30 Shifting Open Source to SaaS
07:46 Lava-Themed Compliance Solutions Brand
10:27 Tech Branding and Hello Kitty Insights
13:46 Optimizing Conversion in Data-Heavy Travel
16:31 Self-Service Analytics Tool Needed
19:17 Automated Product Analytics Tool
23:20 "Budget Constraints and DIY Solutions"
28:17 Freelancer's Efficient Data Solutions
29:08 Open Source Tool Productization Plan
33:13 Navigating Freelance and Startup Challenges
37:19 Transitioning to Data Engineering
42:25 Instant Feedback in Hobbies
43:46 Embracing Feedback in Business Transformation
49:13 "Hoping AI Takes Over Hiring"
51:58 Visit Site for Info & Contact
55:22 "Parenting Boys with Earbuds"
57:25 "Data Driven: Quantum Podcast Relaunch"
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On this episode of Data Driven, we welcome Barr Moses, CEO and co-founder of Monte Carlo, as she delves into the fascinating world of data observability.
Join hosts Frank La Vigne and Andy Leonard as they explore how reliable data is crucial for making sound business decisions in today's tech-driven world. Learn why a simple schema change at Unity resulted in a $100 million loss and how Monte Carlo is developing cutting-edge solutions to prevent similar disasters. From discussions on ensuring data integrity to the intriguing potential of AI in anomaly detection, Barr Moses shares insights that might just redefine your understanding of data's role in business.
Tune in for a podcast that not only uncovers the nuances of data reliability but also touches on the quirky side of tech, like why, according to Google, you should never use superglue to fix slipping cheese on your pizza.
Moments00:00 Monte Carlo: Data Reliability Innovator
05:45 "Data & AI Observability Engineering"
09:42 Data Industry's Growing Importance
12:00 Cereal Supply Chain Data Optimization
16:03 Data Observability and Lineage
19:29 GenAI Uncertainties and Latency Concerns
23:17 "Human Oversight in AI Accuracy"
24:12 Data Observability and Human Role
28:01 Adapting to Customer Language
33:29 Data and Security Management Alignment
35:20 Data Reliability and Observability Challenges
38:17 Automated Code Analysis Tool Launch
42:29 Data-Inspired Childhood
44:12 Passionate About Impactful Work
48:52 LinkedIn Security Concerns Highlighted
53:19 "Data Observability Insights"
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In this episode, Sanjay joins Frank for a deep dive into the heart of digital transformation and AI-powered automation. Here are some of the key takeaways:
Digital Transformation Evolution: Sanjay reflects on his nearly three-decade journey witnessing the digital shift from infancy to the AI-driven present. He outlines the critical components of digital transformation, including cloud adoption and data prioritization, noting significant changes in business focus over recent years.Microsoft's Role: Sanjay provides insights into Microsoft's strategic investments in digital transformation technologies, emphasizing their pivotal role in influencing market trends and industry-specific capabilities.AI-Powered Enhancements: From the widespread adoption of Copilot to the burgeoning concept of agentic AI, Sanjay discusses how AI tools are not replacing but augmenting the productivity of data engineers, offering a glimpse into the future of business processes.Edge of Innovation: We explore how Microsoft Fabric and other technologies are simplifying complex architectures, allowing businesses to leverage multi-cloud strategies effectively, keeping them at the forefront of innovation.Real-Life Impact: Sanjay shares compelling examples, like reducing sales briefing preparation time from four days to two minutes, showcasing the transformative power of AI in real business scenarios.Whether you're a data engineer, business leader, or just someone fascinated by the data-driven world, this episode is packed with valuable insights.
Moments00:00 Three Decades of Digital Transformation
05:27 Microsoft's Digital Transformation Dominance
09:37 Microsoft's Cloud Integration Advantage
13:22 Red Hat AI's Open Source Approach
15:33 Microsoft Fabric's Multi-Cloud Integration Strategy
20:01 "Custom Solutions for Complex Queries"
21:39 Content Creation Efficiency Unlocked
26:38 Sales Role Dependency Reduction Tool
30:06 Agentic AI and Workflow Transformation
33:29 "Beyond Basic Automation"
35:05 AI's Impact on Business Expansion
39:58 Data-Driven Problem Solving Impact
41:58 Reading Trends in Data Innovation
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In this episode, Andy Leonard and Frank La Vigne are thrilled to be joined by Trevor Schulze, the Chief Information Officer at Alteryx. Trevor brings an unparalleled perspective on digital transformation, drawing from his impressive tenure at industry giants such as Micron, Cisco, and RingCentral.
Time stamps00:00 "Data Driven: AI & CIO Insights"
04:32 CIO's Role in AI Evolution
06:50 CIO's Evolving Role with AI
11:43 "Embracing Data Democratization"
16:24 Democratizing Data Access
19:33 "AI Investment and Optimization Cycle"
20:55 AI Enhances Tool Configuration Guidance
24:42 Breaking Free from Vendor Lock-In
27:41 "Unleashing Shadow AI and Technical Debt"
31:53 Digital Performance Essential for All Industries
34:01 Data Privacy Concerns in AI Use
37:30 AI Democratization Challenges for Enterprises
42:15 AI Transforming Business Processes
43:55 Data-Driven Career Journey
47:13 "Building Trust in Data Analytics"
52:34 Building Trust in Future Tech
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Andy Leonard and Frank La Vigne delve into the exciting world of AI and growth marketing with the renowned Lillian Pierson. Lillian, a globally recognized AI growth strategist and author. She shares her unique journey from engineering to data science and her role as a fractional CMO. She provides deep insights into leveraging AI to revolutionize marketing and growth strategies, discusses breaking down the barriers in early data science, and explores the rise of agentic AI.
This conversation is filled with valuable knowledge, humor, and a reality check on the evolving tech landscape. Tune in to explore how AI and data-driven approaches are transforming industries and why Data Driven is a top pick for AI enthusiasts.
Moments00:00 "Interview with AI Expert Lillian Pearson"
04:18 Earning a Professional Engineering License
09:21 Evolution of Data Science Disciplines
11:08 Career Pivot to Success
14:01 Data Strategy and AI Insights
19:19 Marketing's Role in Product Growth
21:58 Customer Advocacy in Product Development
26:16 Exploring AI for Content Automation
28:28 OpenAI Trained on My Style
30:51 Frank's Podcast Automation Expansion
33:22 "Delegation vs. Self-Management Discussion"
37:45 Decoupled, Resilient System Communication
41:57 Clay-Powered Decision Tech Critique
45:41 AI Is Essential in Business
49:09 Debating with ChatGPT's Perspectives
50:23 Google AI: Generative Podcast Tool
56:11 Big Data Fallacies Explored
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Today, we've got an exciting episode lined up for you. Hosts Frank La Vigne and Bailey dive deep into the tech universe with Dean Guida, the CEO and founder of Infragistics. Dean brings his 35-year journey and expansive experience in technology to the table, reminiscing about the early days of software development and his transition into the data-driven world.
In this conversation, you'll hear about the evolution of Infragistics from building UI components for Windows to creating sophisticated data analytics and AI tools. Dean also shares insights from his new book, "When Grit is Not Enough," focusing on how entrepreneurs can foster agile, data-driven learning organizations. Whether you're a seasoned developer, a budding entrepreneur, or someone fascinated by the intersection of AI and data, this episode promises a wealth of knowledge and inspiration.
Join us as we explore technology old and new, from the bygone era of Windows 3.0 to the cutting-edge capabilities of AI today. Plus, hear Dean's personal journey of navigating through various technological and economic shifts over the decades. Make sure to tune in for a discussion that bridges the past, present, and future of tech innovation!
Show Notes00:00 35 Years of UI/UX Innovation
06:35 "Simplicity, Beauty, and Conversational AI"
15:29 Enhancing User Trust Through Transparency
19:52 AI-Driven Learning and OKR Management
26:20 Kids Reflecting Tech Evolution
27:12 "AI in Future Work Environments"
33:14 "Data-Driven Leadership and Team Alignment"
38:44 Entrepreneurship Beyond Grinding
48:19 Contextual Understanding in AI Assistants
51:57 Overprotected Generation's Communication Challenges
54:55 Generational Impact of Pandemics
01:00:47 "Data-Driven Podcast: Ranked 38"
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Today, we delve into the intriguing world of vector databases, retrieval augmented generation, and a surprising twist—origami.
Our special guest, Arjun Patel, a developer advocate at Pinecone, will be walking us through his mission to make vector databases and semantic search more accessible. Alongside his impressive technical expertise, Arjun is also a self-taught origami artist with a background in statistics from the University of Chicago. Together with co-host Frank La Vigne, we explore Arjun’s unique journey from making speech coaching accessible with AI at Speeko to detecting AI-generated content at Appen.
In this episode, get ready to unravel the mysteries of natural language processing, understand the impact of the attention mechanism in transformers, and discover how AI can even assist in the art of paper folding. From discussing the nuances of RAG systems to sharing personal insights on learning and technology, we promise a session that’s both enlightening and entertaining. So sit back, relax, and get ready to fold your way into the fascinating layers of AI with Arjun Patel on Data Driven.
Show Notes00:00 Arjun Patel: Bridging AI & Education
04:39 Traditional NLP and Geometric Models
08:40 Co-occurrence and Meaning in Text
13:14 Masked Language Modeling Success
16:50 Understanding Tokenization in AI Models
18:12 "Understanding Large Language Models"
22:43 Instruction-Following vs Few-Shot Learning
26:43 "Rel AI: Open Source Data Tool"
31:14 "Retrieval-Augmented Generation Explained"
33:58 "Pinecone: Efficient Vector Database"
37:31 "AI Found Me: Intern to Innovator"
41:10 "Impact of Code Generation Models"
45:25 Personalized Learning Path Technology
46:57 Mathematical Complexity in Origami Design
50:32 "Data, AI, and Origami Insights"
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In today's episode, we're thrilled to have Niv Braun, co-founder and CEO of Noma Security, join us as we tackle some pressing issues in AI security.
With the rapid adoption of generative AI technologies, the landscape of data security is evolving at breakneck speed. We'll explore the increasing need to secure systems that handle sensitive AI data and pipelines, the rise of AI security careers, and the looming threats of adversarial attacks, model "hallucinations," and more. Niv will share his insights on how companies like Noma Security are working tirelessly to mitigate these risks without hindering innovation.
We'll also dive into real-world incidents, such as compromised open-source models and the infamous PyTorch breach, to illustrate the critical need for improved security measures. From the importance of continuous monitoring to the development of safer formats and the adoption of a zero trust approach, this episode is packed with valuable advice for organizations navigating the complex world of AI security.
So, whether you're a data scientist, AI engineer, or simply an enthusiast eager to learn more about the intersection of AI and security, this episode promises to offer a wealth of information and practical tips to help you stay ahead in this rapidly changing field. Tune in and join the conversation as we uncover the state of AI security and what it means for the future of technology.
Quotable Moments00:00 Security spotlight shifts to data and AI.
03:36 Protect against misconfigurations, adversarial attacks, new risks.
09:17 Compromised model with undetectable data leaks.
12:07 Manual parsing needed for valid, malicious code detection.
15:44 Concerns over Agiface models may affect jobs.
20:00 Combines self-developed and third-party AI models.
20:55 Ensure models don't use sensitive or unauthorized data.
25:55 Zero Trust: mindset, philosophy, implementation, security framework.
30:51 LLM attacks will have significantly higher impact.
34:23 Need better security awareness, exposed secrets risk.
35:50 Be organized with visibility and governance.
39:51 Red teaming for AI security and safety.
44:33 Gen AI primarily used by consumers, not businesses.
47:57 Providing model guardrails and runtime protection services.
50:53 Ensure flexible, configurable architecture for varied needs.
52:35 AI, security, innovation discussed by Niamh Braun.
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In this livestream, Frank and Andy discuss the timeless nature of backend enterprise tech, that, much like a Christmas special from decades ago, is still very much celebrated.
Moments00:00 Exploring SSIS future in a festive episode.
08:28 Data engineering evolved from business intelligence systems.
10:57 Social networks project before Facebook's popularity.
19:19 SSIS training informed data engineering concepts teaching.
24:56 Bill Gates moved project to immature Microsoft tooling.
29:10 Data engineering possible in 2024 using T-SQL.
35:23 Huge cloud companies surpass previous brick-and-mortar giants.
40:10 Old technologies endure; misconceptions about their age.
46:03 Evaluate change benefits: technical ease, business growth.
52:30 Cloud departure interests rise, SSIS assistance sought.
55:47 Big government agency utilizing diverse cloud platforms.
01:00:59 Security is crucial; clients' preferences vary.
01:08:56 Certification issues hinder software updates and compliance.
01:10:02 People stick with older systems for reasons.
01:15:15 Proper GPU driver drastically improved loading time.
01:22:16 Repost increased engagement and communication with author.
01:25:45 Data scientists should learn SQL for simplicity.
01:31:06 Obsolete systems cause issues without quotes.
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Welcome to another episode of "Data Driven," where we dive into the ever-evolving world of data science, AI, and data engineering. Today's special guest is Inna Tokarev Sela, CEO and founder of Illumix. Join hosts Frank La Vigne, BAILeY, and Andy Leonard as they unpack Inna's groundbreaking insights into generative AI, the future of data management, and the intricacies of AI cost effectiveness.
Inna reveals the origin of her company's name, "Illumix," and discusses the pressing risks of 2025, particularly the total cost of ownership for managing generative AI. She highlights the inefficiencies of data customization and proposes a shift towards moving AI closer to the data to reduce costs. Through the unique lens of Illumix’s approach, Inna explains how they aim to illuminate organizational data by using a virtual semantic knowledge graph based on industry ontologies and business logic.
Timestamps00:00 Ina Tokarav Sala: CEO of Illumix, AI readiness pioneer.
05:57 ROI and data are crucial for decisions.
08:56 Intermediate stage: copilots, insights, static dashboards persist.
11:12 Illumax targets structured data market, unlike others.
14:29 Bad data skews predictive analytics, causing errors.
19:48 Data modeling efficiency increases with virtual assistants.
22:33 E-commerce evolution: convenient online shopping preferred.
25:27 2025's biggest risk: High generative AI costs.
27:07 Focus on domain knowledge and metadata utilization.
31:44 Predicting patterns is profound, not crazy.
36:09 Industry trends are cyclical, like fashion trends.
37:49 Repatriating data due to AI cost efficiency.
40:47 Data processing everywhere raises security concerns.
45:00 Founder freedom: Experimentation unlike SAP's structure.
49:11 I'm considered controversial for being very visionary.
52:29 Truth's evolution parallels past technological shifts.
54:39 Frank's World: Kids show on recycling, BBC.
57:09 Thank you, Ina Tokarev Saleh, for insights.
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Joining hosts Frank La Vigne and Andy Leonard, Geoff shares insights on the intersection of AI and creativity, the evolving landscape of careers in the age of artificial intelligence, and the crucial balance between innovation and traditional storytelling. We'll delve into AI's role in enhancing emotional connections with audiences, its potential to disrupt traditional media and consultancy services, and the caution needed to maintain authenticity and human touch amidst technological advances.
From amusing anecdotes about AI challenges in creative tasks to profound reflections on storytelling, this episode is a treasure trove for anyone intrigued by how emerging technologies are reshaping the arts and beyond. Stay tuned for inspiring discussions, engaging stories, and actionable insights—right here on "Data Driven".
Let's get started!
Show NotesLinksGeoff's LinkedIn https://www.linkedin.com/in/geoffthatcher/
Moments00:00 Jeff Thatcher revolutionizes experiences with AI innovations.
08:56 Storytelling is more important than technology investment.
13:38 Football field experience mimicking recruitment video reveal.
18:45 AI summaries risk losing creative inspiration.
22:21 AI enhances storytelling and client engagement passion.
31:49 Collaboration with LLMs enhances content drafting.
34:53 We integrated AI and illustrator for Christmas card.
43:03 AI empowers creativity, challenges traditional gatekeepers.
44:44 Simplicity aids decision-making; avoid complicating stories.
51:19 Slow drive through town renewed my soul.
56:26 Created AI color library to match teams.
01:01:30 Creativity requires discipline, connections, and stimulus.
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Frank La Vigne sits down with Alex Gold, Head of Solutions Engineering at POSIT and author of "DevOps for Data Science."
Together, they explore the fascinating intersections of DevOps, MLOps, and generative AI, shedding light on the importance of social norms, innovation, and practical impact in open-source development.
Show NotesLinksDevOps for Data Science (Online Version) https://do4ds.com DevOps for Data Science (Amazon)
Moments02:14 Marylander love their state flag
06:09 PBC prioritizes diverse responsibilities beyond shareholder value.
08:17 Chose Python for its versatility across fields.
12:15 Choose the right language for each pipeline stage.
16:14 Deploying software for enterprise use requires oversight.
19:26 Most data scientists rarely focus on machine learning.
23:18 Machine learning misunderstood; majority use simple models.
26:46 Generative AI in big companies, production challenges.
28:30 DevOps for data science needs unique practices.
31:28 Focus on quick wins for business value.
34:05 Focus on relationships; people problems require empathy.
37:17 Technical people focus on solving technical problems.
42:53 Companies exploring gen AI strategies, co-pilot model prioritized.
45:01 Exploring gen AI for effective customer data use.
49:32 Progress continues despite leveling off in horsepower.
52:40 AI needs deeper integration for life-changing impact.
55:39 Upload content; create NPR-style podcast summary.
58:38 Thanks for tuning in! Stay data driven.
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Today, Frank and Andy are joined by David Hirschfeld, CEO and founder of Tekyz Corporation, a firm specializing in helping startups and saving troubled projects with his unique "Launch First" methodology.
David brings us into his world of startups, where, believe it or not, he advocates for getting customers before you even build the product! He explains how Launch First combines high-fidelity prototypes, niche targeting, and a lean, marketing-first approach to de-risk software launches and prove real demand.
Whether you’re an engineer turned entrepreneur, or just curious about the art and science of startups, buckle up for an enlightening episode with insights on maximizing impact and proving product-market fit with speed and precision. Let’s dive in!
Show NotesLinksMoments00:00 Launch First: Get customers before building product.
06:00 Market first, then build software; analyze niche.
07:04 Create marketing stack, offer lifetime license, guarantee refund.
10:30 Offer lifetime licenses for upfront subscription payments.
16:39 Identify top niche problems and assess impact.
19:29 Paying customers prove genuine interest and commitment.
23:34 Accidentally created first Windows software for industry.
25:52 Failed to monetize social media product, Klooj.
30:28 Red Hat's AI boosts chatbot data efficiency.
33:05 Exceptional teams produce highly detailed, compliant documentation.
34:52 Responsibility depends on knowledge and access.
40:29 Track time daily, categorize by client, invoice monthly.
42:37 Handoff documentation to Google; received positive feedback.
45:59 Impressed, thought price was reasonable, despite expectations.
48:11 Combining disciplines multiplies value exponentially.
51:56 David Hirschfeld discusses startup success strategies.
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Today, we have a special treat for you as we welcome Candice Gillhooley, a dynamic force known for blending technical prowess with marketing brilliance. In this episode, we'll explore Candice's groundbreaking approach to "sentient marketing," dive into the interplay between AI and targeted audience communication, and discuss the importance of understanding behavioral data to craft unforgettable marketing experiences. So, sit back, relax, and get ready for an episode that's sure to spark new ideas and inspire innovation.
Show NotesLinksBuy the book on Amazon: https://qrcodes.at/SentientMarketingBookhttps://sentientmarketingbook.com/Candace's LinkedIn Profile https://www.linkedin.com/in/candacegillhoolley/
Moments00:00 Podcast explores data science, AI, engineering trends.
05:05 Ancient harvest tradition, winter preparation, birthdays coinciding.
06:46 Target audience insights through effective data utilization.
13:17 Enjoys startup vibes, marketing tech innovations.
15:36 Data-driven marketing is essential for organizational success.
20:27 Martha Stewart's over-the-top American Express commercial.
22:22 Impressed by her reinvention despite past challenges.
26:31 Glimmers evoke deep, happy memories and connections.
29:37 Advertising targets varied generations differently nowadays.
32:32 Tech changes: fascinating generational shifts, CD nostalgia.
36:11 SQL Server generations discussed at SQL Saturday.
39:47 Marketing tech evolves rapidly; cloud frenzy over.
41:52 Hybrid cloud trend emerged after market saturation.
44:33 Enjoying feedback from Andy about my work.
49:28 Personality divergence; traditionalism conflicts with change.
50:48 Neurodiverse individuals face job dissatisfaction challenges.
54:55 Discussed AI-driven marketing with Candice Gillhooley.
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Andy Leonard and Frank La Vigne are joined by experts Baruch Lev and Feng Gu to uncover the complexities and pitfalls of mergers and acquisitions. We'll discuss the controversial "killer acquisitions" in the pharmaceutical industry, which regulators fear stifle innovation and harm public health.
Our guests will share insights from their upcoming book, "The M&A Failure Trap," which critiques current acquisition strategies and introduces a unique 10-factor scorecard for assessing potential success. From data analysis on 40,000 mergers over 40 years to the challenges and market trends affecting merger outcomes, we’ll explore why up to 75% of mergers fail and how decision-makers often benefit at the expense of employees and shareholders.
Whether you're an entrepreneur looking to navigate M&As or a data enthusiast curious about the numbers behind these strategic moves, this episode offers a data-driven look at the forces shaping mergers and their real-world impacts.
Show NotesThe M&A Trap Book Link (no affiliate) https://www.amazon.com/Failure-Trap-Mergers-Acquisitions-Succeed/dp/1394204760
Highlights00:00 Exploring data science, AI, mergers with experts.
04:43 Extensive data-driven analysis of mergers' failures.
09:22 Investment bankers pressure companies to finalize acquisitions.
11:15 Managers get bonuses for concluding acquisition deals.
14:26 Global economy affected; star performers leave.
17:32 Mergers often lead to employee departures, layoffs.
20:24 Managed data engineering team during Unisys acquisition.
26:28 Analogies highlight misapplication of causal thinking.
28:58 Complex model reveals hidden variable impact.
31:01 Correlation can mislead; avoid single-focus traps.
37:14 Comprehensive analysis of acquisitions and their impacts.
38:39 Analyzed LinkedIn data on employee turnover trends.
41:50 Creative metric developed for private acquisition premium.
46:01 Acquisitions are widespread, impacting various industries significantly.
52:11 Unique 10-factor acquisition scorecard predicts success.
55:45 Deep dive into mergers and acquisitions data.
Speaker BiosBaruch Lev is a professor emeritus at NYU Stern School of Business, where he has taught and conducted research on mergers and acquisitions for decades. He worked formerly at UC Berkeley and the University of Chicago. His work has been widely cited in academic and professional circles (over 63,000 Google Scholar citations), and he is a leading authority on corporate finance and valuation.
Feng Gu is a professor of accounting at the University at Buffalo and has extensive experience in analyzing the financial aspects of corporate acquisitions. His research focuses on the economic consequences of corporate decisions and has been published in top-tier academic journals.
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Andy Leonard, and Frank La Vigne are joined by the innovative Artem Rodichof, CEO of Xhuman. Today's discussion delves into the transformative world of empathetic AI and its potential to reshape our interactions with technology and each other. Artem shares insights from his groundbreaking platform, which creates custom AI personalities that can turn various media forms into interactive, human-like experiences.
We'll explore the intersection of gaming and AI, discuss the ethical implications of deep emotional connections with chatbots, and consider how AI-driven interactions might alleviate loneliness and enhance human communication. Balancing technical details with ethical considerations, this episode underscores the dynamic role of AI in our digital future. So, stay tuned as we navigate the evolving landscape of AI-integrated worlds and the profound impact of empathetic technologies.
Show NotesHighlights03:24 Introducing Artem Rodichoff, CEO of Xhuman.
07:49 Eugenia trained chatbot on deceased friend's personality.
10:21 AI bots mimic empathetic, encouraging coworker interactions.
13:35 User feedback improves conversation quality over time.
19:12 Characters as community managers, NPCs powered by AI.
22:08 Gen AI raised technology interactivity expectations significantly.
25:45 Future device interactions through natural language.
27:49 Devices now resemble Star Trek's interactive computers.
33:36 Do chatbot conversations increase Gen Z loneliness?
34:46 Chatbots improve communication skills and social interactions.
41:07 Banned romantic chats impact lonely users deeply.
41:57 AI relationship changes can impact mental health.
47:20 Applaud effort; solving black swans is tough.
50:48 Social media amplifies our worst traits.
51:58 Addressing loneliness is crucial for well-being.
56:17 Exploring empathetic AI's future with Artem Rodichorff.
LinksArtem's LinkedIn https://www.linkedin.com/in/art-rodichev/Ex-Human's Website https://exh.ai
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In this episode, Doug shares his preference for composition over inheritance in object-oriented programming and his strategic use of design patterns in Visual Basic consulting. He challenges commonly held beliefs about language performance and productivity, arguing that faster languages do not always yield faster results. The conversation also explores the offline benefits of large and small language models (LLMs and SLMs) and highlights Doug's innovative use of PowerShell to create autonomous agents.
Doug shares fascinating insights on prompt engineering, the evolution of AI models, and the potential of personal AI as the next technological inflection point. Despite facing resistance from critics and the tech community, Doug remains a staunch advocate for leveraging cutting-edge tools and maintaining an unscripted, adaptive approach to technology.
Show NotesTime Stamps07:32 Discovering GPT chat and its incredible capabilities.
14:25 Expect announcement at OpenAI Day in November.
19:41 Initial confusion, but eventually realized cross-platform potential.
25:31 Colleague makes fun of me, but impressed.
30:07 Experience of being a non-traditional engineer.
35:10 Prefer using PowerShell over Python for coding.
40:36 Discussing hallucination problem and algorithms in AI.
43:19 Using AI to generate better function names.
47:46 "Creating forms quickly with impressive results."
54:58 Recall story of new guy at whiskey distillery.
01:01:06 Microsoft focuses on smaller, efficient language models.
01:08:12 Data-driven podcast explores PowerShell and AI's fusion.
LinksPSAI (PowerShell AI module): https://github.com/dfinke/PSAI PSWeave (PowerShell module bringing OpenAI's GPT): https://github.com/dfinke/PSWeaveImportExcel (PowerShell module to import/export Excel spreadsheets): https://github.com/dfinke/ImportExcelNew York PowerShell Meetup: Meetup https://www.meetup.com/nycpowershellmeetup/
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In this episode, we delve into Frank’s new role at Red Hat, where he’s pioneering advancements with Rel AI, an innovative tool for training large language models. Andy shares his latest adventures in Microsoft Fabric training, reflecting on the rapid pace of tech evolution.
Along with tech talk, they touch on personal milestones, such as parenting and life’s significant changes. So, grab your favorite drink, sit back, and join us for an insightful conversation filled with tech trends, personal stories, and a touch of nostalgia. It's an episode you won't want to miss!
Show Notes04:08 Limited college course options, but important financially.
09:16 Fabric data factory training, following SSIS, Azure.
10:08 Teams doing diverse work to improve services.
13:14 Adoption drama resulted in life-changing impact.
16:50 Functionality in Office 365 for family use.
21:56 Data-driven podcast episode ends with call-to-action.
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Today, we're shifting gears as Frank La Vigne returns from his adventures in the Smoky Mountains.
From paternity leave to tackling poor internet connectivity, Frank sheds light on the precarious nature of our reliance on cloud services. Join us as we explore the challenges of staying connected in remote areas, ponder the implications for the future of AI, and reflect on the importance of data resilience.
Buckle up for an episode that's as much about life's unexpected detours as it is about the data revolution. Let's get data driven!
Time Stamps03:47 Balcony had best signal, but still slow.
08:44 Moving to technical marketing; Red Hat Summit.
09:40 Influence of living in DC on perception.
13:23 Limited internet access creates absurd and inefficient situations.
16:37 The world faces significant danger in cyberspace.
21:39 Concerns about building systems dependent on OpenAI.
24:18 Grateful for internet, signing off, podcast-ready
- もっと表示する
