In this episode, the host chats with Beth Falder, AVP of Data Management and Analytics at Nuvance Health, about handling the flood of new technologies in healthcare. They dive into the challenges of data governance, the excitement and chaos of Gen AI, and balancing legacy data with new innovations. The discussion includes collaboration within the healthcare community, managing clinical versus back office data, and leveraging big partners like Amazon, Google, and Microsoft. Beth also shares tips on resource allocation, dealing with technical debt, and preparing for future tech advancements. Highlights: 01:10 Challenges in Data Management02:32 The Role of Data Governance04:14 Balancing Innovation and Resources04:59 Impact of Gen AI on Healthcare06:32 Addressing Data Technical Debt10:55 Evaluating New Technologies16:06 Leveraging Clinical Data Guest: LinkedIn: https://www.linkedin.com/in/beth-falder-data-fanatic/ --- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests?

In this episode, Amir talks with Nathan Fabian, Managing Director and Head of Talent at WestCap, about the essential qualities of great leaders. They explore the complexities of hiring leadership, assessing unique attributes, and balancing speed with thoroughness in the recruitment process. Nathan shares WestCap's approach, focusing on five key attributes—principles, curiosity, decisiveness, team management, and vision—that predict leadership success. They also discuss culture fit, leveraging networks, and building and retaining a diverse, high-performing leadership team. Highlights: 01:48 Defining Leadership and Key Attributes03:12 The Five Archetypes of Founders05:37 Assessing Leadership Attributes12:37 Balancing Speed and Thoroughness in Hiring16:39 Onboarding and Integrating New Leaders18:57 Hiring for Now vs. Future Potential21:13 Focusing on Strengths vs. Weaknesses Nathan's LinkedIn: https://www.linkedin.com/in/nathanfabian/ --- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

In this episode, Chris Morgan, VP of Data Science at Lincoln Financial Group, dives into the evolving landscape of data culture. He discusses the impact of generative AI (Gen AI) on data practices, managing tech debt, and aligning stakeholder expectations. Chris emphasizes the importance of data governance, quality, literacy, and sharing strategies and analogies for fostering a robust data culture. He also addresses balancing immediate delivery with long-term vision in data management within a large, traditional organization. Highlights: 01:08 Defining Data Culture03:17 The Importance of Stakeholder Engagement10:05 Balancing Technical Debt and Emerging Trends16:31 Managing Expectations with Gen AI Guest: Chris Morgan has always been passionate about numbers and data, finding Statistics as the ideal application of math. He excels at the intersection of data and strategy, leading teams to provide clear, actionable insights. Chris combines technical expertise, business acumen, and strong communication skills to align data science capabilities with organizational goals. Outside of work, he enjoys traveling, playing Euchre, outdoor activities, and addressing the issue of texting and driving. LinkedIn: https://www.linkedin.com/in/morganchristopher/ --- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

In this episode, Amir chats with Brajesh Jha, SVP and Global Business Leader of Data Tech and AI at Genpact, about scaling Generative AI (Gen AI). They explore what 'Gen AI at scale' means, drawing parallels with past technological waves like computerization and robotic process automation. Topics include the importance of data quality, strategic and technological considerations, and reimagining business models to leverage AI effectively. Brajesh shares Genpact's transformation journey and practical advice for harnessing Gen AI's power, emphasizing a strategic, data-driven, AI-first mindset. Highlights: - 01:21 Understanding Gen AI at Scale - 02:14 Historical Context of Technological Evolution - 05:09 Challenges and Opportunities with Gen AI - 05:48 Apple Intelligence and Data Utilization - 12:10 Strategic Considerations for Gen AI - 15:23 Importance of Data Quality - 18:31 Steps for Successful Gen AI Implementation - 23:38 Future of Gen AI in Business Guest: Brajesh Jha is a Senior Executive with over two decades of experience in professional services at multi-billion-dollar technology companies. Currently, he leads Genpact's Technology, Media, and Entertainment vertical, managing global business operations that deploy Analytics, Artificial Intelligence, and Intelligent Automation capabilities. He also drives co-innovation with various micro-segments, including studios, cable providers, publishers, entertainment companies, and advertising agencies, to build new operating models and enhance customer experiences. LinkedIn: https://www.linkedin.com/in/brajeshjha --- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

In this episode, Amir talks with JD Hannick, an Executive Advisor to Fortune 500 and private equity firms with a deep background in consumer data from Foot Locker, Adobe, and Booz Allen Hamilton. JD discusses the transformation of consumer data, the role of AI and machine learning, and the importance of first-party data. They also explore how private equity firms use data for efficiency and growth in changing economic conditions and the future role of generative AI in enhancing customer experiences. Highlights: 01:28 Consumer Experience and Industry Insights03:11 AI and Machine Learning in Consumer Industries06:00 The Role of First-Party Data10:51 Private Equity and Data Initiatives13:51 Future of Gen AI in Consumer Industries Guest: JD Hannick is a senior executive known for building high-performing, engaged teams in next-generation data analytics, AI, machine learning, generative AI, personalization, and enhanced customer experience. With experience across various global Fortune 100 organizations, JD helps these companies, as well as private equity firms and their portfolio companies, transform into data-driven businesses. He is sought after for forming strategic initiatives, building investment cases, and realizing value creation through innovative data use. https://www.linkedin.com/in/hannick/ --- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

In this podcast episode, Amir welcomes Arjun Bansal, CEO of Log10, to discuss the ongoing challenges and solutions surrounding Large Language Model (LLM) accuracy. Arjun recounts his unique journey from computational neuroscience to founding AI-focused companies. They delve into the concept of 'hallucinations' in AI, the black box nature of LLMs, and the critical need for accurate AI systems in various domains. Arjun explains how Log10 provides a platform to measure and improve LLM accuracy and shares insights on the future of AI applications, including the transition from narrow to general AI and the importance of balancing proprietary and open-source models. The discussion also touches on strategies enterprises can adopt to mitigate hallucination risks and enhance accuracy in AI deployments. Highlights 00:47 Arjun Bansal's Background and Log10 Overview 04:45 Understanding LLM Hallucinations 09:58 Challenges and Solutions in LLM Accuracy 16:02 Future of AI and Practical Implementations Arjun Bansal is an entrepreneur and AI expert focused on understanding and building intelligent systems. He is currently CEO & co-founder of Log10.io, a platform for measuring and improving the accuracy of LLM applications and agents. Arjun previously co-founded Nervana Systems (acq. Intel) and XOKind (AI agents for travel). Arjun's career spans research in brain-machine interfaces, building AI processors, and AI sidekicks. https://www.linkedin.com/in/arjunbansal/ https://arjunbansal.substack.com/ ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

In this episode, we dive into the nuances of how founders can effectively hire go-to-market leaders with Atli Thorkelsson, VP of Talent Network at Redpoint Ventures. The conversation covers founders' challenges in these roles, the timing and dynamics of such hires, and the importance of founder-led sales in the early stages. Atli emphasizes the need for candidates who can execute immediately while having the potential to grow with the company. The discussion also explores the intricacies of hiring outside a founder's skill set, the significance of setting up for holistic success, and the critical aspect of surrounding oneself with knowledgeable people. Atli provides insights into what to look for in candidates, highlighting the importance of long-term thinking, cultural fit, and the ability to scale with the company. The episode is rich in advice for founders on navigating the hiring process, from the initial job definition to engaging with potential candidates for long-term roles. Highlights 00:50 The Challenge of Hiring Go-to-Market Leaders 01:23 When to Hire Go-to-Market Leaders: Insights from Atli 02:32 The Importance of Hiring for Now and Future Growth 03:07 Navigating the Hiring Process: Strategies and Challenges 08:35 Identifying the Right Sales Leadership Qualities 16:57 Advice for Founders on Hiring and Onboarding Guest: https://www.linkedin.com/in/atlit/ ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

In this episode, Amir Bormand interviews Amie Bright, VP of Enterprise Data and Analytics at GitLab, about the importance of data governance, especially in the context of generative AI. Amie explains GitLab's role as an AI-powered DevSecOps platform and discusses strategies to ensure data quality and governance in modern data volumes. The conversation covers the traditional challenges data teams face and the transformative impact of generative AI on those practices. Amie also shares insights from her career and current work at GitLab, emphasizing the need for proper metadata management, certified data sources, and the shifting perception of data governance from a hindrance to an enabler of efficiency and innovation.  Highlights 01:29 Data Governance and Its Importance 04:53 Challenges and Evolution with Generative AI 07:52 Changing Perceptions and Measuring Accuracy 13:23 Future of Data Governance with Gen AI Guest: Amie Bright is an accomplished data and analytics leader with expertise in data management, architecture, integration, warehousing, science, and business intelligence. She excels at creating data strategies that align with long-term organizational goals. Amie is skilled in leading data teams to implement modern, cloud-based data solutions, including ingestion, pipeline orchestration, repositories, governance, security, advanced analytics, and business intelligence. She effectively motivates diverse teams and builds strong relationships across organizational boundaries to achieve analytics objectives. LinkedIn: https://www.linkedin.com/in/amie-bright-03329820/ ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

In this episode, Amir Bormand interviews Peter Maynard, Chief Data and Analytics Officer at Guardian Life, discussing innovative thinking in the age of AI. Peter shares insights into how Guardian Life, a 160-year-old insurance company, leverages AI and data products to improve consumer and group business services. The conversation delves into the challenges and strategies of integrating new technologies into established processes, the importance of lifelong learning, and the balance between technical understanding and business value. Peter also emphasizes the role of trust, leadership, and creating space for innovation within teams to drive organizational transformation. Highlights: 03:13 Embracing Change and Innovation in a Legacy Company 03:36 The Impact of ChatGPT and Continuous Learning 07:06 Navigating the Complexities of AI and Leadership 22:08 Fostering a Culture of Innovation and Learning Guest: Dr. Peter Maynard is the Chief Data and Analytics Officer at Guardian Life, a position he has held since 2022. He previously worked at Equifax, where he served as Senior VP of USIS Data and Analytics. Before joining Equifax in 2013 as SVP of Enterprise Analytics, Maynard spent over a decade at Capital One as a Model Risk Officer and VP of Global Financial Services. He was an Outcomes Analyst at Heritage Information Systems earlier in his career. Dr. Maynard holds a BS in Economics from the University of Rhode Island and a Master's Degree and PhD in Economics from the University of Tennessee, Knoxville. LinkedIn: https://www.linkedin.com/in/peter-maynard-0b4b17/ ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests?Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

In this podcast episode, Bob Stefanski, Co-founder and Managing Director of eLab Ventures joins Amir to discuss the promising future and current landscape of AI startups. They explore the significant room for growth in AI, particularly in the context of valuations, and the importance of giving founders time to pivot. Stefanski emphasizes the focus on early-stage investments in AI, highlighting the continued relevance of deep learning and the promising potential of generative AI. The discussion covers AI founders' evolving characteristics, unique data sets' impact, and the shift towards more accessible AI application development tools. Additionally, Stefanski provides insights into the differentiation between 'true AI companies' and those merely using AI as a buzzword. Highlights 01:38 The AI Landscape and Market Potential 04:11 Investing in AI Startups 06:41 Characteristics of Successful AI Founders 08:25 Functional vs. Generative AI 14:49 Valuations and Market Trends 18:01 Defining a True AI Company ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

This episode features a conversation with Maria Latushkin, Group VP of Technology and Engineering at Albertsons, discussing AI's role in supply chain management. The discussion encompasses assessing AI options, prioritizing initiatives, and pilot programs for implementing AI solutions efficiently and effectively. The episode covers the strategic approach to AI adoption, including mistake avoidance, decision-making processes from an executive perspective, and leveraging AI for operational improvements and customer value enhancement. It also touches on the impact of COVID-19 on supply chain perceptions and innovations, the significance of data management, and the balance between building bespoke solutions versus leveraging external partnerships. Highlights 01:05 The Role of AI in Decision-Making and Supply Chain Optimization 03:14 Leveraging AI for Supply Chain Efficiency and Innovation 04:13 Impact of COVID-19 on Supply Chain Dynamics 07:24 Adapting to Change: Speed, Technology, and Customer Experience 08:14 The Future of Engineering and AI in Business Strategy 17:12 Building vs. Buying in the Gen AI Era 21:30 Pilot Programs and Assessing ROI with Gen AI Guest: Maria Latushkin: https://www.linkedin.com/in/maria-latushkin-799700/ ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

In this episode, Amir Bormand interviews David Ayers, SVP of Engineering at Invitation Homes. They delve into the intricacies of hiring in the engineering space, emphasizing the importance of assessing skills, consistency, continuous improvement, and potential over perfect technical ability. Ayers discusses Invitation Homes' approach to interviewing, the importance of understanding technical and soft skills, and the benefits of behavioral-based questions. They also explore the evolving role of co-pilot tools in engineering and how engineers can focus more on problem-solving and understanding business needs. The discussion includes strategies for making hiring decisions, handling mismatches, and learning from hiring experiences. Highlights 01:05 Hiring in Engineering: Key Attributes 03:22 Balancing Soft and Technical Skills 04:34 Behavioral-Based Interviewing 07:09 Technical Assessments and Programming Languages 10:45 The Future of Programming with AI 17:09 The Imperfection of Hiring Guest: David Ayers: https://www.linkedin.com/in/davidaayers/ ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

In this episode, Amir hosts Healey Cypher, CEO at BoomPop and COO at Atomic. The discussion covers various aspects of being a good and successful founder, what makes an idea backable, and the differences between successful and unsuccessful entrepreneurs. Healey shares his background as a serial entrepreneur and gives insights into his companies, BoomPop and Atomic. The conversation includes key considerations for making a business VC backable, understanding total addressable market size, the importance of trust in entrepreneurship, and tips on identifying your strengths and complementing them with the right team. Healey also emphasizes continuous learning and practical financial knowledge for entrepreneurs. Highlights 00:35 Background and Career Journey 01:43 The Rise of BoomPop 04:02 What Makes a Good Founder? 06:23 VC Backable Ideas vs. Lifestyle Businesses 12:05 Execution and Skill Development for Founders 18:43 Building Trust as a Founder Healey Cypher is the CEO of BoomPop, and Chief Operating Officer / Partner of Atomic. He has spent his career building and selling companies that center around great customer experience. Healey sold his last two companies: ZIVELO which he sold to Verifone in 2019 after 15 months of taking the reins as CEO, and Oak Labs, which he sold to Zivelo in 2018. Before that, Healey was the Head of Retail Innovation at eBay. Chief of Staff to the CTO of eBay, and lead all business development for milo.com  which he helped sell to ebay in 2010. He has been recognized as Silicon Valley Business Journal’s “40 under 40,” WWD’s “Ten of Tomorrow,” and one of Goldman Sach’s “Top 100 Most Intriguing Entrepreneurs.” He has also done dozens of keynotes and live TV (most nerve-wracking: CNBC Closing Bell, for sure.) ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

In this episode, Amir Bormand is joined by Willem Koenders, the Global Leader in Data Strategy at ZS, to discuss the intricacies of AI and Generative AI (Gen AI) data strategies. The conversation delves into the unique challenges and considerations that companies face when implementing AI strategies, emphasizing the importance of data quality, governance, and realistic expectations. Willem shares insights on the evolution of data trends and how businesses can leverage past learnings to enhance their current AI initiatives. They also explore industry-specific impacts, decision-making for adopting AI, and the vital role of foundational data management in ensuring successful AI implementation. Highlights 01:54 AI and Gen AI Data Strategies 02:57 Realism and Expectations in AI Implementation 04:33 Data Management Foundations 06:56 Challenges with Legacy Data 08:37 Strategic Approaches to Data and AI 11:01 Future of AI in Enterprises 18:57 Preparing for AI Implementation 21:13 Privacy and Ethics in AI Guest: Willem Koenders is a global leader in data strategy at ZS Associates, boasting 10 years of experience advising top organizations on leveraging data to gain and maintain a competitive edge. He has worked with clients across Europe, Asia, the United States, and Latin America. Formerly, he led Deloitte’s data strategy and data management practice for Spanish Latin America. Willem is passionate about data-driven transformations and strongly advocates for data governance by design. LinkedIn: https://www.linkedin.com/in/koenders-willem ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

This podcast episode features Matt Robben, Co-founder and CTO of Serif Health, discussing the importance of full-stack engineering hires and how to manage operational growth within hiring constraints. Serif Health, a price transparency data company in healthcare, navigates the challenges of being a small seed-stage startup with a limited hiring budget by prioritizing full-stack capabilities to ensure flexibility and comprehensive problem-solving. Matt highlights the transition from hiring generalist engineers to specialists as the company grows and delves into specific areas like data engineering and artificial intelligence, where specialization becomes critical. He shares insights on identifying talent that showcases eagerness and versatility, underscoring the value of adaptability in the fast-evolving tech landscape. The episode also touches on the interview process, supporting team growth towards specialization, and maintaining a balance between immediate needs and future potential in hiring decisions. Highlights 00:22 Exploring the Trend Towards Full Stack Engineering 00:44 Introducing Serif Health: A Price Transparency Data Company 01:17 The Strategic Value of Full Stack Engineers in Startups 04:38 The Shift to Specialization: When and Why It Happens 08:20 Navigating Hiring Challenges and Interview Processes 12:31 Fostering Growth and Flexibility Within Engineering Teams ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests?Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

This episode features Dennis Mortensen, CEO and Co-founder of LaunchBrightly, returning as a guest to discuss the entrepreneurial mindset, his experiences as a serial entrepreneur, and the journey of his latest venture post-x.ai. Dennis shares insights on the importance of solving real pains, the dynamics of pivoting in entrepreneurship, and the personal philosophy that guides him through the ups and downs of startup life. He emphasizes the joy in the entrepreneurial process, the necessity of embracing the sport of entrepreneurship for its own sake, and strategies for maintaining balance, such as his practice of taking long walks for reflection. Additionally, Dennis extends an open invitation to the audience for further engagement and mentorship. Highlights 00:36 The Evolution of x.ai and Launching LaunchBrightly 01:52 The Birth of a New Venture: Automating Product Screenshots 04:02 Entrepreneurial Mindset: Sticking to the Pain Points 16:59 The Emotional Rollercoaster of Entrepreneurship 23:20 The Love of the Game: Entrepreneurship as a Lifestyle 28:16 Pivoting: When to Stick and When to Shift 32:47 Staying Centered: Dennis's Personal Strategy Guest links: LaunchBrightly: https://launchbrightly.com/ Dennis: https://www.linkedin.com/in/dennismortensen/ ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

This episode features a detailed discussion with Akshay Swaminathan, a data scientist with significant contributions to health systems improvement, including 40 peer-reviewed publications and features in the New York Times. Currently an AI Researcher, medical student, and PhD candidate at Stanford University, Swaminathan discusses the potential of data science in healthcare, emphasizing the importance of delivering the right treatment to the right patient at the right time. The conversation covers domain specificity in data science, the trend of healthcare professionals engaging in data science, the importance of cross-functional teams, and the role of traditional IT and data science projects in healthcare. Swaminathan also introduces his book, 'Winning with Data Science,' designed to help non-technical domain experts collaborate effectively with data scientists. The episode highlights the potential obstacles to data-driven healthcare solutions, including data quality, biases, interoperability, and data sharing, and suggests starting with identifying key problems before applying data science solutions. Highlights: 00:38 The Power of Data in Healthcare Delivery 02:03 The Unique Blend of Healthcare and Data Science Expertise 02:52 Cross-Functional Teams: A Trend in Healthcare Data Science 04:56 Empowering Domain Experts to Leverage Data Science 10:35 Case Study: Improving Crisis Response Times at Cerebral 13:30 The Future of AI in Healthcare: Automation and Co-Pilot Solutions 17:41 Challenges and Solutions for Data in Healthcare AI 24:09 Practical Advice for Leveraging Data in Healthcare Guest: .Akshay Swaminathan is a data scientist who works on strengthening health systems. He has more than forty peer-reviewed publications, and his work has been featured in the New York Times and STAT. Previously, he was a data scientist at Flatiron Health and Head of Data Science at Cerebral. He is currently an AI researcher and MD/PhD candidate at Stanford University. LinkedIn: https://www.linkedin.com/in/akshay-swaminathan-68286b51 Book: https://cup.columbia.edu/book/winning-with-data-science/9780231206860 ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

This podcast episode features an in-depth conversation with Zach LaValley, EVP of Engineering at RapidSOS, discussing the transition towards holistic awareness in public safety. The conversation touches on the challenges of disconnected data, the evolution from landlines to mobile and IoT devices, and the significance of consistent data across distributed systems. RapidSOS's role in moving data from devices to emergency services for better decision-making, the importance of location services, and the complexity of integrating multiple data points are highlighted. Additionally, the discussion explores the future of 911 services with AI, the impact of data privacy, and the technical challenges of creating reliable and speedy responses in emergencies. Zach also sheds light on the ongoing efforts to enhance the effectiveness of 911 call centers and emergency responses through advanced mapping, cloud-based systems, and partnerships with OS providers and device manufacturers. The episode concludes with thoughts on public adoption and the potential of AI to improve emergency services. Highlights: 01:16 The Evolution of Emergency Response: From Landlines to Digital Ecosystems 03:30 Navigating the Complexities of 911 Call Centers and Data Routing 04:50 The Technical Backbone: Cloud Systems and Data Management 05:36 Enhancing 911 with Technology: Partnerships and Privacy Concerns 11:08 Engineering Challenges: Balancing Speed and Reliability 14:37 Testing and Deployment: Ensuring System Integrity 17:23 The Future of Emergency Services: AI and Public Perception Guest: A lifelong learner, Zach LaValley is passionate about helping companies achieve their strategic goals through technology. He has a proven ability to create and scale successful business solutions and is adept at managing medium to large organizations with a diverse technical skill set. Experienced in agile methodologies, Zach combines excellent communication skills with technical acumen, enabling him to deliver in fast-paced and ever-changing environments. LinkedIn: https://www.linkedin.com/in/zlavalley/ ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

In this podcast episode, Harrison Tang, CEO and Co-founder of Spokeo, discusses Gen AI's role in data creation and the complexities of entity resolution. Spokeo is highlighted as a leading platform that organizes billions of records to resolve millions of entities for user verification. The conversation delves into the nature of identity in both the physical and digital worlds, the challenges of comparing vast amounts of data, and the criteria for establishing the truth within data sets. The discussion also covers the impact of generative AI on data creation, emphasizing the importance of data quality from inception and the evolving landscape of data privacy and security. The episode concludes with insights into the future of entity resolution technology and the ongoing need to discern truth in an era of increasing digital fabrication. Highlights 02:01 The Complex World of Entity Resolution 03:28 Challenges in Data Processing and Entity Resolution 05:20 The Role of Generative AI in Data Creation 16:02 Navigating the Future of Data Verification and Privacy Harrison Tang is a CEO, Co-Founder and President at Spokeo. Harrison Tang is the founder and president of Spokeo, which he created in 2006 with a group of four friends from Stanford University. They envisioned a new way to approach social networks by providing an easy user interface to keep track of friends’ activities online. Since then, Spokeo has grown into a leading people search engine, reconnecting individuals to others all across the United States. As founder and president, Harrison is responsible for the overall direction and product strategy for the company. He leads the team focusing on building an easy-to-use system that can aggregate billions of records and return results within one second. Harrison grew up in the Silicon Valley. He attended Stanford University and received his Bachelor’s degrees in Economics and Electrical Engineering and his Master’s in Electrical Engineering in 2005. LinkedIn: https://www.linkedin.com/in/tangtalks/ ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

This podcast episode features Dr. Andrea Isoni, the Chief AI Officer at AI Technologies, discussing AI's current and future integration into everyday life and the corporate world. Isoni highlights how AI already serves as a co-pilot in many aspects of daily activities and how it is adopted across various industries like cybersecurity and manufacturing automation. He also touches on the media's impact on AI perception and the potential for more complex, integrated solutions. The conversation covers the importance of AI in enhancing efficiency and the critical role of Cybersecurity as AI adoption increases. Isoni emphasizes that while AI adoption in enterprises may be slower due to legacy systems and regulations, the consumer market quickly embraces AI tools. He also discusses the evolution of software development, predicting a shift towards more integration, customization, and assurance roles rather than traditional programming. Highlights 02:06 The Current State of AI Adoption 03:26 AI in Everyday Life and Future Technologies 07:05 AI's Impact on Industries and Consumer Adoption 10:51 Evaluating ROI in AI Projects 14:49 Adoption Challenges and Trust in AI 26:32 The Future of AI, Cybersecurity, and Job Evolution ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)