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Event

Data Universe 2024

2024-04-10 – 2024-04-11 Big Data LDN/Paris

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31

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Revolutionizing Analytics with Language Models: Bridging Data, Decisions, and Dialogue

2024-04-10
Face To Face

In this session, analytics expert and renowned AI author David Boyle will take the audience on a fascinating journey into applied AI. We'll explore how language models like ChatGPT are revolutionizing analytics, sharing dozens of practical examples of how AI is transforming data interpretation, decision-making, and communication.

We'll explore using these tools in planning analytics to generate hypotheses and analytical strategies. David will demonstrate GPT-4's Code Interpreter executing complex data tasks like cleaning and analysis, allowing attendees to see firsthand see the iterative nature of working with AI: How it can write code, perform analysis, and refine outputs based on feedback.

Finally, we'll look at bringing insights to life. AI can turn complex findings into compelling stories for decision-makers. It can generate visualizations, interpret results, and translate technical terms into actionable business insights. This helps close the gap between data teams and leadership by serving as a mediator.

This session will be far more than a simple demonstration of AI's capabilities, but instead offer a roadmap for harnessing AI's power to revolutionize your work. Join David to consider the broader implications of AI in decision-making and how to integrate these tools into your workflows.

Are You AI-Ready? Your Data and Analytics Maturity Holds the Answer

2024-04-10
Face To Face

There is a mad rush these days to embrace the power of AI inside every enterprise. But, through a decade of research, Jack Phillips' research has shown that a firm's data and analytics maturity hold the answer as to how ready a firm is to leverage AI. There is no "free lunch" when it comes to AI adoption -- the foundational elements of high quality data, a data-driven culture, and understanding the right business problems must all be in place

Mr. Phillips will walk through IIA's globally accepted methodology for measuring data and analytics maturity, and share industry and company benchmarks to allow you to estimate where your company stands today. Most importantly, Mr. Phillips will open the playbook around what the highest-performing analytical competitors are doing differently than the rest. 

Minding the Gap Between Data Foundations and AI Innovation

2024-04-10
Face To Face
Justin Borgman (Starburst Data) , Subodh Kumar

In a classic cart before the horse scenario, many companies have jumped at leveraging Generative AI and other AI technologies. However, most of those same companies haven't completed the core work of building a reliable & secure foundation that provides data accessibility, analytics speed, and ensures data quality. The resulting risk for leaders is overinvestment in AI programs that may not have accurate & secure data access, further exposing the business to harm. It is a case of slowing down to speed up - ensure the foundation is solid before you build the house. In this talk by Starburst CEO Justin Borgman, and Head of Partner Solutions Architecture, Data & Analytics - AI/ML, Subodh Kumar from AWS, you'll learn about the essential data foundations for AI success. The foundation, the plumbing, and the framing that will set businesses up for AI success.

What it Takes to Build Your Own Analytics Solution

2024-04-10
Face To Face

Join Netflix' Kishore Banala for a deep-dive into strategies for building custom analytics solutions. From data collection approaches, to the nuances of real-time vs batch data movement, to leveraging columnar data stores tailored for analytical use cases, Kishore will provide practical examples and case studies such as identifying unique site visitors. We'll conclude with a look at the art of visualizing data with open-source tools that empower you to create compelling visualizations. Come along for insights and suggestions drawn from practical experience in building large scale analytics solutions.

May You Live in Exciting Times: Embracing Technological Evolution

2024-04-10
Face To Face
Flavio Villanustre (HPCC Systems)

This session explores the technological advancements of analytics, data science, machine learning, AI, and quantum computing. Beginning with an overview of the historical development and current state of these technologies. LexisNexis' Flavio Villanustre will explore how analytics has transformed industries; how data science extracts valuable insights, how machine learning has moved from simple rule-based systems to today's deep learning models; and how quantum computing promises to solve previously intractable problems at speeds unattainable by classical computers.

Attendees will learn about the benefits and associated risks of each technology: Increases in efficiency, productivity, and innovation juxtaposed against vulnerabilities in privacy, security, bias, and wider societal concerns such as unemployment. These competing issues underscore the need for responsible, ethical research and deployment of such tools.

Winning in an AI World: How and Where AI Fits in Your Data Strategy

2024-04-10
Face To Face

Join data nerd and business strategist David Boyle to hear how and where artificial intelligence is driving business data-driven transformation.

Combining more than two decades of experience pioneering data-driven change at global brands like EMI Music, HarperCollins, BBC, MasterClass and Harrods with a crazy 18 months of experience as a leading author and consultant on the role of language models in many of the world’s leading companies, David will share his perspective on the role of AI relative to other forms of data / insight / analytics in business transformation.

Expect fascinating case studies highlighting how AI has redefined business strategies and unlocked new growth. Discover strategies for capitalizing on AI to overcome industry challenges, open new market opportunities, and transform culture and commerce. And hear about a failure or two along the way. 

You'll leave with a new outlook on AI's potential, ready to embrace AI as the driving force for your data strategy.