This presentation covers the critical transition from traditional analytics to the strategic integration of AI into business processes, from the compelling reasons for adoption to the practical implementation steps. The 'What' segment introduces the foundational elements enabling the AI revolution and the business processes ripe for disruption. Addressing the 'Why', we highlight the responsible adoption of AI with accurate, reliable data as the backbone of any AI-driven initiative. This section underscores the need for solid data benchmarks and testing to measure AI's effectiveness, to ensure that AI implementations lead to tangible, positive outcomes, and to alert leaders to issues early. The 'How' section provides actionable insights on implementing AI to scale data-driven decisions effectively. With real-life examples, this section covers best practices for data management, technology integration, and strategies for fostering a culture that embraces data and AI. Attendees will learn about scaling AI-driven analytics, including considerations for data security, privacy, and ethical AI use.

This presentation explores the challenges and evolution in data and technology, emphasizing the growth of data sources, user concurrency, and distributed ownership. It delves into the strategic significance of a unified analytics tier to enable a Phase 2 of virtualization. Key components like an Entitlement Service, Data Catalog(s), MALT, and Data Contracts are discussed and what has been learned forcing those technologies and patterns to also evolve. This presentation underscores the importance of aligning with business outcomes, tracking the influence on Total Cost of Ownership (TCO), and establishing or improving a governance strategy as the organization matures.

Join us as we go from zero to insights in 15 minutes. Alex will build an entire analytical report, from SQL query to python to data visualization. We’ll cover the basics of a modern data notebook, some of the technical AI Magic behind the scenes, and show how hundreds of customers accelerate time to insight with Hex.

In this fireside chat, Mike Ferguson—Europe’s leading industry analyst in data management and analytics—talks to Rob Thomas, Senior Vice President and Chief Commercial Officer at IBM on what IBM is doing to help companies get maximum business value from data and AI.

The discussion will explore what IBM sees as the key things needed to become successful with AI. This includes talking about embracing hybrid cloud computing to support data and deploy AI anywhere; dealing with the challenge of distributed data estate; and exploring integrated data and AI technology stacks and AI assistants that help companies tear down data silos, share data, and quickly build and integrate AI, augmentation, and automation into every part of their business. Finally, it will also explore how IBM is helping accomplish this while maintaining end-to-end data and AI governance.

The Data Engineer's role amidst the rise of big data, cloud computing, and AI-driven analytics has shifted. This panel chat explores the ever-changing landscape of essential skills and the automation of outdated ones. With a myriad of architectural options available, we'll dissect how organizations navigate the complexities to tailor solutions to their specific needs. Let's unravel the intricacies of building scalable data systems, pinpointing common breakpoints and strategies for efficient scaling. Come along as we delve into in constructing the foundation of the data-driven future.

The data mesh framework, first introduced in 2021, provides a more dexterous and valuable approach to data management by increasing accessibility for teams, partners, and other stakeholders. In this session, Annalect’s Chief Technology Officer, Anna Nicanorova, and Director of Data Engineering, Santhosh Swaminathan, will share how their organization — the data and analytics division of Omnicom Group — was able to simplify the implementation of data mesh and unlock numerous benefits — namely, the ability to facilitate seamless collaboration and drive greater operational efficiency. 

Companies need reliable information about the future to make decisions in the present. Strategic plans and budgets rely on good guesses about what the future holds. But typical approaches to planning are often rarefied and insulated from the real world. There's an approach developed in Switzerland and Southern California that holds real promise: Gamification.

Games are inherently competitive—which means the player with the optimal strategy prevails. That optimization can be applied to forecasting and prediction, yielding significantly better results. David Savlowitz offers a peek into gamified forecasting, a convergence of competitive gaming, investment strategy, data science, and human psychology that enables accurate forecasts.

In this session, David will explain how competitive approaches can involve a wider group that includes economists, data scientists, and non-technical staff; and how tournament models where players are rewarded for accurate predictions that maximize return on investment and minimize forecasting error.

As the field of data analytics continues to progress and expand, the role of semantic layers in harnessing the power of AI is becoming increasingly crucial. The incorporation of context and constraint is essential to optimizing the potential of Language Model Models (LLMs), which requires a more structured and specialized approach. While traditional methods have made strides in providing some context through prompt engineering and knowledge graphs, semantic layers offer unparalleled clarity and efficiency in bridging the gap for LLMs. To further unfold the narrative on semantic layers and their transformative impact on AI-enabled analytics, we invite you to a thought-provoking session with Artyom Keydunov, Cube's CEO & Co-founder.

Join Jamie Underwood and Andy Hannah for a transformative deep dive into the Responsible Data Revolution. In this session, they'll explore the crucial intersection of innovation and advanced analytics, delving into the legal aspects surrounding it. With Jamie's expertise in navigating the intricacies of intellectual property and Andy's deep entrepreneurial and analytical experience, we'll uncover the ethical and legal considerations that arise in the era of big data and AI. 

From privacy concerns to intellectual property rights, they'll discuss the evolving landscape of data governance and responsible innovation. Gain insights into strategies for leveraging data ethically and responsibly while maximizing its potential for transformative innovation. This session promises to equip you with the knowledge and tools to navigate the complex terrain of the data revolution responsibly.

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.

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. 

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.

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.

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.

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.

Big Data Europe Onsite and online on 22-25 November in 2022 Learn more about the conference: https://bit.ly/3BlUk9q

Join our next Big Data Europe conference on 22-25 November in 2022 where you will be able to learn from global experts giving technical talks and hand-on workshops in the fields of Big Data, High Load, Data Science, Machine Learning and AI. This time, the conference will be held in a hybrid setting allowing you to attend workshops and listen to expert talks on-site or online. Ibrahim Muzaferija

Big Data Europe Onsite and online on 22-25 November in 2022 Learn more about the conference: https://bit.ly/3BlUk9q

Join our next Big Data Europe conference on 22-25 November in 2022 where you will be able to learn from global experts giving technical talks and hand-on workshops in the fields of Big Data, High Load, Data Science, Machine Learning and AI. This time, the conference will be held in a hybrid setting allowing you to attend workshops and listen to expert talks on-site or online.

Generative AI is a fundamental shift in how business operate, and analytics ISVs (independent software vendors) are at the forefront of that shift. Join this session to: - Learn how ISVs that are built with BigQuery are using gen AI to solve complex business problems and create new opportunities. - Explore real-world success stories where businesses are achieving significant results - Gain insights into emerging trends and challenges, and potential for your business

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Discover how to build a customized, AI-powered Business Intelligence solution.In this hands-on workshop, you'll learn to integrate Looker, Gemini and Vertex AI, to: - Generate queries and visualizations effortlessly using natural language with Looker's AI Explore Assistant. - Extract instant insights from dashboards with AI-generated summaries and actions. - Understand the powered by Looker platform to build new data experiences with leveraging the entire Google Cloud ecosystem Join us and learn to architect innovative, AI-powered analytics with Looker and Vertex AI!

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

We'll explore how integrating AI, serverless computing, data analytics, and APIs can revolutionize the retail landscape. Learn how Google Cloud Run, Apigee, BigQuery, and Vertex AI collaborate to create personalized shopping experiences, streamline operations, and drive sustainability. Key takeaways include implementing conversational AI for enhanced customer interaction, leveraging BigQuery for data-driven insights, and using Cloud Run for efficient, scalable retail solutions.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.