The Future of the Digital Enterprise
What makes up the platform that will meet the needs of the mission-critical enterprise and help future proof the data-driven organization? Scott will discuss the critical requirements and how you can manage the lifecycle of all your data for analytics and operations using a new grid of processing and storage. The advantages are many and you will hear how this grid should include both cloud and on-prem to give you the complete view of your world.
Now Open: The Fast Lane to Innovation & Value with Machine Learning
Machine Learning will transform business in the 21st century like the industrial revolution transformed manufacturing in the 18th. You have likely heard how ML is reshaping industries, from healthcare to retail to financial services. The question is: What can Machine Learning do for you and your business? Attend this keynote to learn how ML is leading the insight economy, with open source and open technology ecosystems as vital accelerators, trailblazing the path forward.
Big Data, Connected Devices, AI – All coming together
The rapid proliferation of connected assets and devices, along with Big Data analytics and advanced capabilities of AI are changing the game and creating challenges, as well as new opportunities, for business to stay relevant. Business needs to constantly pursue operational excellence, cut down on wasteful processes and eliminate inefficient workflows to protect margins that are already thin. Asad Khan takes you on an inspiring journey exploring how the Big Data, connected devices, and artificial intelligence are powering new experiences and revolutionizing the way we live.
Collaboration or Isolation: What’s best to drive innovation?
IT megatrends such as big data, cloud computing, Internet of Things, and artificial intelligence would not be having the impact they’re having today were it not for open source, open architectures, open collaboration, and open data. In 2017, open source is not only the norm, but it is essential for accelerating the pace of digital transformation initiatives. Digital platforms for the next generation of applications are based on open source. This panel of experts will discuss the state of open source in 2017 and its role as a cultural movement that helps to accelerate enterprise digital transformation.
Daljit Rehal, Global Director Digital and Data Services, Centrica
Owen O’Malley, Co-Founder and Technical Fellow, Hortonworks
Simon Elliston Ball, Product Director, Hortonworks
Shaun Connolly, Chief Strategy Officer, Hortonworks
Human Life Beyond Big Data and AI
When big data first came to prominence, we thought it would improve and transform business. And so it did, enabling completely new data-driven approaches to marketing, manufacturing, and more. What we missed was that it would also transform society, particularly through its enablement of an extensive and novel wave of artificial intelligence (AI). The question now is: how will human life look as big data and AI, rather than software, “eat the world”?
From chat-bots to autonomous vehicles, from game playing to decision making, from fake news to deep learning, a combination of big data and AI is transforming work, politics, media, and economics. In some areas, it’s just becoming visible, in other areas the outcomes seem clear. But unintended consequences lurk at every turn. In this keynote, Dr Barry Devlin explores the possible ethical, economic and social consequences of the current growth of a data-driven, AI-implemented world and offers some thoughts on how we must adapt if human life is to thrive.
More than just infrastructure – ingredients for successful data analytics projects
Every company benefits from analytics, yet a recent study suggests that 44 % of businesses are unsure what to do about big data. Here we will explore the essential ingredients which will empower modern analytics to help transform your business and ensure your data provides the greatest value to you enabling you to drive business change.
Shining light on HPE Enterprise Grade Hadoop solution
As users embrace Hadoop for analytics, it is becoming clear that relational Enterprise class Hadoop Solution is needed for solving most deep analytic problems. This presentation will highlight HPE Hadoop framework we’re using for analytics that starts with understanding the business problem and ends with deployment and tuning of analytic models. HPE is using that as a basis to discuss how to best leverage Hadoop and Relational Databases throughout the process. This recommended approach is based on research and performance testing and allow the customer to extract values from data
Panel: Enterprise Adopters Q&A with Raj Verma, COO & president, Hortonworks
Industry leaders, Centrica, Danske Bank, and Walgreens join to discuss their results and experience using Hortonworks Connected Data Platforms. From securing sponsorship, driving deployment, and delivering measureable results, the panel will provide insight and advice from their data-driven journey.
Hadoop Gets a Helping Hand with Kylo: Data Lake Development with a Difference
Capturing and processing big data isn’t easy. That’s why Apache products such as Spark, Kafka, Hadoop, and NiFi that scale, process, and manage immense data volumes are so popular. The drawback is that they do not make data flows easily for business users to access, optimise, and analyse.
Learn how Kylo™ is a new generation, open source management software platform was launched in March 2017 to overcome this challenge. We explain how Kylo™ lets businesses easily configure and monitor data pipelines in and through the data lake without coding, so users have constant access to high-quality data. We also explain how it enhances data profiling and discovery with extensible metadata.
Artificial Intelligence, Privacy, Internet of Things, the Future of Jobs and AI
There is a myth that we need to tradeoff data privacy if we want AI assistants. But this no longer needs to be the case. By combining on-device machine learning with cryptography, we are able to build assistants that have a deep understanding of our lives, without anyone being able to access that data but the user itself. This means AI assistants can now be private by design!