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RIchie and Nick explore what Qlik offers, including products like Sense and Staige, use cases of generative AI, advice on data privacy and security when using AI, data quality and its effect on the success of AI tools, how data roles are changing, and much more.
RIchie and Elan explore LLMs, vector databases and the best use-cases for them, semantic search, the tech stack for AI applications, emerging roles within the AI space, the future of vector databases and AI, and much more.
Find out how you can spin up a pay-as-you-go instance of OpenAI, and you’ll build a few simple applications that show the power of LLMs and GenAI against your data.
Richie interviews two world-renowned thought leaders on responsible AI. Youll learn about principles of responsible AI, the consequences of irresponsible AI, as well as best practices for implementing responsible AI throughout your organization.
Richie, Ian and Jimena explore what the UNs AI Advisory Body was set up for, the opportunities and risks of AI, how AI impacts global inequality, key principles of AI governance, the future of AI in politics and global society, and much more.
Justin Fletcher joins the show to talk about how the US Space Force is using deep learning with telescope data to monitor satellites, potentially lethal space debris, and identify and prevent catastrophic collisions.
Richie, Nuri, and La Tiffaney explore AI’s impact on marketing analytics, how AI is being integrated into existing products, the workflow for implementing AI into business processes and the challenges that come with it, the democratization of AI, what the state of AGI might look like in the near future, and much more.
Richie and Sridhar explore Snowflake and its uses, how generative AI is changing the attitudes of leaders towards data, the challenges of enterprise search, management and the role of semantic layers in the effective use of AI, a look into Snowflakes products including Snowpilot and Cortex, advice for organizations looking to improve their data management, and much more.
Richie, Ari, and Robin explore Databricks, the application of generative AI in improving services operations and providing data insights, data intelligence and lakehouse technology, how AI tools are changing data democratization, the challenges of data governance and management and how Databricks can help, the changing jobs in data and AI, and much more.
Benn and Adel talk about the nature of AI-assisted analytics workflows, the potential for generative AI in assisting problem-solving, how Benn imagines analytics workflows to look in the future, and a lot more.
This session, run by the authors of Winning with Data Science, covers stories of Kamala and Steve, two fictional professionals collaborating with data science teams to achieve their business goals
Adel and Brian explore the evolution of cybersecurity tools, the challenges faced by cybersecurity teams, how generative AI can be used both defensively and offensively in cybersecurity, and much more.
Adel and Eric explore the reasons why machine learning projects dont make it into production, the BizML Framework or how to bring business stakeholders into the room when building machine learning use cases, what the previous machine learning hype cycle can teach us about generative AI and a lot more.
In this session three pharmaceutical executives, with experience as Chief Data Officers and strategic consultants, discuss techniques to improve your digital capabilities.
In this session, youll learn how to use the Weaviate vector database to store these different content types, then perform search queries on them.
Richie, Jo and Martijn discuss generative AIs mainstream impact in 2023, trends in AI and software development, how the programming languages for data are evolving, new roles in data & AI, and their predictions for 2024.
Richie and Anthony cover what algorithmic trading is, the use of machine learning techniques in trading strategies, the challenges of handling large datasets with low latency, risk management in algorithmic trading and much more.
In this webinar, Anton Abrarov, the Head of AI & Data Science at Norilsk Nickel, explains how data is used to solve technical and business problems at his company and in the broader mining industry.