What's New In Data

John K Thompson, co-author of "Causal Artificial Intelligence" and Global Head of AI at EY, shares insights from his extensive career in the field. He delves into the evolution of AI, emphasizing the importance of integrating various AI types for strategic decision-making. John discusses building scalable generative AI infrastructure and identifies common pitfalls, including the need for executive support. He highlights the dangers of a 'set and forget' approach and stresses the importance of collaborative ownership in AI deployment to align with business objectives.

Ever ask yourself how to choose between Microsoft Fabric and Databricks for your enterprise data workloads on Azure? Join this discussion with cloud pricing and cost optimization expert Everett Berry from Vantage.sh as he illuminates the differences between  these two powerful data lake technologies. We delve into the depths of their unique features, pricing models, and deep integration with Azure.Our conversation ventures into the world of AI and its transformative impact on the modern data stack. Everett offers brilliant insights into how data teams are redefining their strategies to prioritize AI in their roadmaps.About Everett:Everett is Head of Growth at Vantage.sh. He is known for creating one of the most widely used indexes of cloud infrastructure costs at Vantage Instances. Follow Everett Berry on X (formerly known as Twitter)Everett's original article on this topic: Microsoft Fabric: Should Databricks be Worried?What's New In Data is a data thought leadership series hosted by John Kutay who leads data and products at Striim. What's New In Data hosts industry practitioners to discuss latest trends, common patterns for real world data patterns, and analytics success stories.

We dive into AI principles with Patrick Miller, the head of data and AI at Newfront. Patrick, a seasoned expert in enterprise, AI, and machine learning, casts a unique lens on the role of AI at Newfront where they offer modern insurance, emphasizing the crucial role of "human in the loop" systems. Get ready to explore how data teams can leverage Large Language Models (LLMs) to create tangible value for companies, with insights drawn from Patrick's vast experience in AI roles at Google and other tech giants. We also dive into the importance of transparency and explainability in AI product development and the impact of LinkedIn data trends on innovation. Patrick shares thought-provoking ideas on tying data initiatives to direct financial impact, providing valuable guidance for data leaders navigating a tightening cycle. This episode is a treasure-trove of insights for any professional interested in the practical applications of AI in business. Tune in to glean from Patrick's knowledge and experience, and understand how to navigate the intersection of AI and insurance.What's New In Data is a data thought leadership series hosted by John Kutay who leads data and products at Striim. What's New In Data hosts industry practitioners to discuss latest trends, common patterns for real world data patterns, and analytics success stories.

Zack Hendlin is the CEO and founder of Zing Data – a mobile-first business intelligence platform. He has deep experience and expertise in the tech industry on several products including his work as a product lead at Linkedin enhancing the engagement of the feed and speech recognition at Facebook. In this episode we chat with Zack about the value of having insights at your fingertips (literally) and how teams can get value out of taking action on data in real-time. We also discuss the adoption of LLMs, including what can happen when LLMs are wrong!  Follow Zack on LinkedinLearn more about Zing DataWhat's New In Data is a data thought leadership series hosted by John Kutay who leads data and products at Striim. What's New In Data hosts industry practitioners to discuss latest trends, common patterns for real world data patterns, and analytics success stories.

What's New in Data – a popular podcast and thought leadership series hosted by John Kutay – did a special live episode at the top of Salesforce Tower in San Francisco. Bruno Aziza from CapitalG, Ridhima Kahn from Dapper Labs, and Sanjeev Mohan of SanjMo (former VP of Data at Gartner)  did a recap of 2023 Google Cloud Next's biggest announcements, how (and why) data teams are adopting GenerativeAI, and gave examples of futuristic consumer experiences such as interacting with AI-generated social media influencers. John Kutay moderated the panel in front of a live audience.Follow our panelists on LinkedIn for more insights!https://www.linkedin.com/in/brunoaziza/https://www.linkedin.com/in/ridhimaah...https://www.linkedin.com/in/sanjmo/What's New In Data is a data thought leadership series hosted by John Kutay who leads data and products at Striim. What's New In Data hosts industry practitioners to discuss latest trends, common patterns for real world data patterns, and analytics success stories.

Guests John Kutay of Striim and Jacob Matson, VP of Finance and Operations, discuss the recent pricing changes in dbt Cloud and its implications for data teams and the open source community. They explore how companies should react and the impact on analytics engineering. The conversation covers the benefits of open source software, self-hosted alternatives to dbt, and the challenges of monetizing free tools.

Pete Hunt is the CEO of Elementl. Elementl is the company behind Dagster – a popular Data Orchestration framework. Pete Hunt is also very well known for his leadership developing React.js which transformed the way modern front-end applications are built using functional programming and asset aware re-rendering. Pete talks about how Data Orchestration can also be optimized to be aware of the assets it is computing. Why is this important? As data teams scale the delivery of production data products to the business, efficient compute is critical to meet business SLAs while managing cost and underlying resources. Follow Pete Hunt on LinkedinFollow Pete Hunt on TwitterLearn more about ElementlWhat's New In Data is a data thought leadership series hosted by John Kutay who leads data and products at Striim. What's New In Data hosts industry practitioners to discuss latest trends, common patterns for real world data patterns, and analytics success stories.

Sean Taylor is an industry veteran and expert in Data Science, AI, and ML. Sean is Chief Scientist at Motif Analytics: a paradigm-shifting toolkit for sequence analytics. His career accolades include leading core data science at Facebook and Lyft. Sean is also known for launching Prophet – a popular open-source forecasting framework leveraged at some of the world's largest companies. We dive into Data Science and tie it back to Data Engineering. How does Data Science differ from Data Engineering? Do common Data Engineering skills such as SQL map into Data Science? Will Data Engineers have enough leverage and tooling to execute on AI initiatives? We also discuss experimentation with data. Check out the episode to learn more!Follow Sean Taylor on TwitterFollow Sean Taylor on LinkedinLearn more about Motif AnalyticsWhat's New In Data is a data thought leadership series hosted by John Kutay who leads data and products at Striim. What's New In Data hosts industry practitioners to discuss latest trends, common patterns for real world data patterns, and analytics success stories.

Mark Freeman is a vocal advocate of Data Quality, Data Contracts and aligning the data community around these pillars. Mark Freeman has experience as both a data scientist and data engineer which gives him a unique, astute outlook on data management. This is why he's amassed tens of thousands of followers on social media to date along with the largest slack community on Data Quality that he founded with Chad Sanderson: Data Quality Camp. Our host John Kutay dives into these topics with Mark starting with why data quality is critical, before going into the depths of implementation and monitoring.  To learn more about Data Quality:On The Mark DataMark Freeman on LinkedinJoin Data Quality Camp on SlackWhat's New In Data is a data thought leadership series hosted by John Kutay who leads data and products at Striim. What's New In Data hosts industry practitioners to discuss latest trends, common patterns for real world data patterns, and analytics success stories.

Zhamak Dehghani is the CEO / Founder of Nextdata and also well known as the creator of Data Mesh. Data Mesh is a set of core principles that enables organizations to become data-driven by changing the way they organize their teams and their data architecture.  Zhamak walks us through her deep expertise working with enterprise data teams and the story of how Data Mesh came to be. Zhamak also discusses the power decentralization and how it allows enterprises to scale insights. Zhamak Dehghani's vision for Nextdata is building a world where AI and ML is powered by equitable and responsible data ownership via decentralization. We also discuss data products as a first class primitive and how data teams can start their Data Mesh journey with practical steps of 'change through movement.' Follow Zhamak Dehghani on Linkedin and Twitter.Follow Nextdata hereCheck out "Data Mesh: Delivering Data-Driven Value at Scale" by Zhamak Dehghani on AmazonWhat's New In Data is a data thought leadership series hosted by John Kutay who leads data and products at Striim. What's New In Data hosts industry practitioners to discuss latest trends, common patterns for real world data patterns, and analytics success stories.