Intellicar, Skoda, and IBM took the stage to showcase how intelligent transport solutions could tackle some of the general and critical issues of the industry. Data projects that are completed on time, address changing requirements, and deliver value in the real world require a combination of skills and technologies, as well as the right people. To deliver continuously useful insights, apps always need to have an answer from the latest data. Agarwal details the common obstacles that data teams encounter in data migration and explains why next-generation data tools must evolve beyond simple observability to provide prescriptive insights, shares best practices for optimizing big data costs, and demonstrates through real-world case studies how a mature DataOps practice can accelerate even the most complex cloud migration projects. We kick off the first official day of Summit on Wed., November 16. Learn the best practices for utilizing streaming data to support modern applications. What does resilience signify in a post pandemic world? Sharing insights from his bestselling book, Infonomics, Laney discusses why information both is and is not an asset. Bryson also covers data enrichmentthe practice of making observed anomalies available as inputs to downstream data pipelines. Machine learning is revolutionizing the process of complex decision-making by enabling the analysis of bigger, more complex datasets and the delivery of faster, more accurate results. Sasso discusses the challenges of running the business currently on the myriad of tools while planning the data strategy for the future and the road map to get to that strategy. Any organization that has gone through a vendor software licensing audit knows firsthand how expensive and draining a process can be for an organization. Learn why more organizations are moving their analytics and BI to an open data lakehouse and how you can build a successful lakehouse strategy. Driving the AI strategy in one of the oldest French retailers is a real challenge in and of itself. Laura Sebastian-Coleman, Data Quality Director, Prudential Financial. Andrew C. Oliver, Senior Director of Product Marketing, MariaDB Corporation. According to various analyst research, many data management programs fail in the first 36 months. To gain important insights to inform our strategic direction, we process clickstream data sets daily using Google BigQuery. Are we on the road to El Dorado or more data debt? Whether in business or in science, the goal of working with data is always to uncover patterns. Bing blog Microsoft Bing: Continuing the transformation of search work. There are so many new buzzwords lately, including the data lakehouse, data mesh, and data fabric, just to name a few. Learn more about our other sessions and Pre-cons in our post.My team and I look forward to seeing you next week! But with so many technology options that can be deployed on-prem, in the cloud, or a combination thereof, the complexity is also increasing. Below is a collection of the key announcements and insights coming out of the conference. While this was a tremendous milestone, it is important that we do not rest on our laurels and continue to work towards diversity, equity, culture, and engagement at every level of the public sector. Jason Hall, Senior Solutions Architect, Quest Software. Data Mesh aims to prescribe that the ownership of data products should live in business domains, ensuring that data is treated as a first-class product across the organization. By stripping away data engineering complexity and lowering total cost of infrastructure ownership and maintenance, more and more organizations are unlocking the value of analytics at scale. Kaladhar Voruganti, Senior Fellow, Technology & Architecture, Office of the CTO, Equinix. WebData Summit 2022 Agenda 03/11 - Innovation Stage Registration 09:00 Pick up your lanyard, have a browse of our bookshop and exhibition area, and grab a coffee before The Gartner Data & Analytics Summit 2022 will address the most significant challenges that data analytics leaders face as they build the innovative and adaptable In this talk, Kaladhar shares his thoughts on next-generation distributed AI architectures and presents the concepts of AI Marketplaces and Federated AI to demonstrate how these concepts are an integral part of distributed AI architectures. Using a semantic layer makes data accessible and accelerates the business impact of AI and BI at your organization. Join privacy professional Jeff Jockisch in this interactive workshop to understand how to better protect the sensitive data in your business. Sudha Viswanathan, Staff Engineer, Wayfair. Knowledge graphs are a valuable tool that organizations can use to manage the vast amounts of data they collect, store, and analyze. Central to these efforts is a data architecture and design crafted for speed and scale. But getting into predictive and prescriptive analytics takes many of them out of their comfort zones. AuthorThe AI Advantage: How to Put the Artificial Intelligence Revolution to Work, Data Scientist in Residence Accel Partners, Executive Director, Digital & AnalyticsCarrier Residential and Light Commercial, Vice President, Audience Modeling & Data ScienceDisney Advertising, SVP and Chief Data & Analytics OfficerTravelers, Building a Successful Data Strategy and Culture, Tools and Technologies for the Intelligent Organization. ATARC 2022 AI & Data Virtual Summit - ATARC Intelligent Cities. Designed for chief information officers, chief data officers, digital transformation leaders, IT business liaisons, enterprise architects, data architects, data engineers, data management and analytics professionals. Data-Driven: Don't Run Before You Can Walk, How to Create and Sustain a High-Performing Remote Data Team, Accelerating the Move to the Cloud with Real-time Connectivity, Unwieldy Tech While Developing a Common Strategy:How the CIO of a P&C Insurance Company Tackled Its Data Strategy, Unlocking Business Value With Real-time Data Analytics, Every Problem Is a Data Problem: How Bad Data Is Killing Your Business, Dave Skrobela, Managing Manager, Earley Information Science, Technically Right, Effectively Wrong: How to Avoid Creating the ML or Analytics Application No Customer Wants to Use, Data Lakehouse, Data Mesh, & Data Fabric (the Alphabet Soup of Data Architectures), Accelerate Data Mesh With First-Class Data Products, Data Architecture Smackdown! This is due to lack of claritythe goals and processes for data quality management have not been defined or have not been understoodand disbelief that the quality of data could be subject to control. Emerging Technologies and Trends in Data and Analytics takes you through the most exciting developments reshaping the industry and helping businesses close the data value gap, from the rise of data fabrics to the continued growth of automation technologies, data self-service initiatives, cloud-native analytics, and IoT stream processing projects. *Informatica, Data Fragmentation is CDOs Top Challenge in 2022, Dec. 2021 Rakesh has extensive experience working in various areas of analytics and data science in start ups such as Jet.com and Moda Operandi as well as large organizations such as Walmart and Facebook. A new technology called distributed SQL borrows the best from both relational and NoSQL databases giving you both read and write scale while also ensuring the data is correct. These relationships also account for skills and roles of everyone who works with data, from business executives to business analysts to data scientists. We will also deliver a record-breaking 38 sessions, covering a wide array of themes and learning paths. The notion of data exhaust, all that peripheral data floating around in your organization, can have value to your business operations. Digital transformation efforts today are targeted not only at how data is managed and stored, but also at how it is leveraged to deliver insights and competitive advantage to businesses across a range of industries. Enterprise knowledge graphs representation of an organizations content and data creates a model that integrates structured and unstructured data. There is no magic answer. Looking at MLOps and Robotic Processes Automation exemplifies the need for clarity and strategic thinking. I look forward to seeing you at PASS Data Community Summit, a conference curated for the Microsoft data platform professional. Let's expand our horizons beyond the traditional integration. Designed for data scientists, data architects, and data engineers, as well as technology decision-makers and administrators. Reach out and request meetings for May 10, or 11 with fellow participants and sponsor partners. Brian O'Neill, Founder & Principal, Designing for Analytics. But challenges exist to be overcome. Thats what this panel considers. WebData Engineering Conferences 2023/2024/2025 is an indexed listing of upcoming meetings, seminars, congresses, workshops, programs, continuing CME courses, trainings, summits, and weekly, annual or monthly symposiums. With so much data and so many architectural options how do you decide what works for your enterprise without getting a black eye? Only interested in the two-day AI & Machine Learning Summit or our one-day Boot Camps? Attend this workshop to learn how to iterate on ML models with event-based data, and develop scalable, real-world machine learning pipelines and applications. Designed for database administrators, database developers, database architects, managers/directors of databases and applications, and associated information management professionals. Most teams tend to neglect the instrumentation process and later scramble to gather insights from data. Finally, Realize Business ROI From ML: Unleash Your Event-Based Data, Driving Business Outcomes With Graph Database & AI, Application of Advanced Analytics in Anti-Money Laundering, Addressing Data Privacy in AI & Machine Learning Projects, Christine (Chrissy) Geluk, Principal & Founder, Librarian At Your Service LLC, Learn, Unlearn, Relearn: Embracing the Future of Cloud Analytics, Journey to Cloud Analytics: How Companies Analytics Challenges Can be Solved by Moving to the Cloud, Solving the IoT Data Management Puzzle With Gateways to the Cloud, Automating Business Decisions With Continuous Intelligence Using Event Streams, How to Use In-App Ratings to Personalize and Improve Your User Experience, How to Select Your Cloud Data Warehouse Platform Strategically, Making the Case for Legacy Data in Modern Data Analytics Platforms, Mapping Data Quality Concerns to Data Lake Zones, How Data Professionals Can Participate in DevOps, Scaling Both Writes and Reads with Distributed SQL, Beware Software License Trolls, the New Danger, Heather Hedden, Product Communication Representative - Americas, Knowledge Manager, Semantic Web Company, USA, Insights for Unlocking the Potential of AI in Healthcare, Build Actionable Road Maps for Enterprise Data and Analytics, Welcome & Opening Keynote: Data Is Not the New Oil, Data & Analytics Strategy Innovation Fellow.