The role of the Chief Data Officer (CDO) has become increasingly important to the C-suite executives as they are expected to enhance executive decision-making, improve operational efficiency and fuel innovation. It is therefore important that the CDO is empowered and equipped with the right skill set and technology to extract value from data.
With AI and machine learning at scale, you have the intelligent data you need to accelerate your data-driven digital transformation—and create the next intelligent market disruption. At Informatica World 2019, you’ll learn how to unleash the power of data, with Market Perspectives for insights into the industry’s future, hands-on Deep Dives into Informatica products, Roundtable discussions with product experts, numerous networking opportunities, and a Solutions Expo with the latest technology and services from Informatica partners.
With the Informatica Data Privacy solution, organizations can leverage the industry’s most-awarded machine learning and AI technology to accelerate data privacy readiness and protection for personal data. The AI-fueled solution allows rapid assessment of personal and sensitive data across the organization, which ensures quick identification and remediation of data risks and reduces the likelihood of data misuse and loss. The solution also supports rights and consents management, and continuously monitors data access to prevent misuse and unauthorized data movement. Visit Informatica in booth# 224 at IAPP Global Privacy to learn more!
Spark+AI Summit 2019 presented by Databricks is the largest data & machine learning conference in the world. The summit offers a unique experience for developers, data engineers, data scientists, and decision-makers to collaborate at the intersection of data and ML. Attendees will learn about the latest advances in Apache Spark and ML technologies as well as real-world enterprise AI best practices. Join Informatica in booth# 109 to learn how to use an AI-Driven approach to Next Gen Analytics for end-to-end data lake management including catalog, integrate, prepare, govern, and secure big data into trusted information assets. Informatica’s AI-powered Intelligent Data Platform leverages enterprise unified metadata intelligence provided by our CLAIRE™ engine, to ensure maximum data engineer productivity, IT agility, and data scientist / business analyst self-service in a fully secure and governed environment.
Cloud Data Warehouse is a key component of analytics modernization, so you can enable data-driven business decisions. Join Snowflake and Informatica technical experts for a deep-dive exploration of our joint solution. We will discuss how together we help infuse analytics solutions with cloud agility and scale, rapidly curating multi-cloud and on-premises, trusted and relevant data in a cloud data warehouse. We will review key use cases and typical adoption patterns we are seeing in the market for cloud data warehouse. Our experts will discuss in detail key features of our joint solution as well as a reference architecture and recommended best practices. We will also provide a high-level overview of leveraging an AI-driven catalog to identify enterprise-wide data assets for cloud migration and empower analysts with data discovery. Finally, learn how Informatica and Snowflake help you govern and secure data, not only for analytics, but also for data sharing so you can unleash the power of new data economy. Our session will include a demo of our joint solution.
Are you aware of the crucial role data deletion plays in data privacy compliance? During this session you will hear from Graham Thomas, Global Privacy Practice Lead at Cognizant and Steve Holyer, Solutions Specialist at Informatica. Together they will highlight the vital role that Data Deletion plays in Data Privacy Compliance and how companies can reduce regulatory compliance risk as they transition to ‘privacy by default and design’ in their data management practices.
Pharmaceutical companies are continuing to invest in various strategies to increase scientific efficiency and return on R&D. From partnerships and acquisitions to patient outreach and real-world evidence, these strategies all access new datasets. This session will cover how Informatica are leveraging AI capabilities to increase efficiency in the Pharmaceutical Industry by navigating through increasing amounts of data.
Financial Information Management (FIMA), launched in 2005 is the leading data management event for financial services in the United States. Born as a reference data management event, FIMA has quickly grown to cover so much more as different kinds of data are creating new risks to manage and opportunities to capitalize on. FIMA US 2019 will host more than 425 guests, from over 145 companies, and offer three days of content along with numerous hours of networking. Each year FIMA hosted sessions and discussions are lead by top data management professionals, all covering topics that are of fundamental importance to your enterprise-wide data management initiatives. Urge your customers who are attending FIMA US 2019 to stop by and visit Informatica in booth #29 to learn more today!
Join Informatica to hear how you can Fuel Your Business with AI-Powered Intelligent Data and get a look at 5 new product innovations across the Informatica Intelligent Data Platform. Learn how AI-driven automation with enterprise-wide collaboration across business and IT delivers the right combination to help you unleash the power of intelligent data at scale - across a multi-cloud and on-premises environment.
Cloud data warehousing provides on-demand, unlimited capacity for analytics, but how do you get from your rigid, expensive on-premises enterprise data warehouse to Azure SQL DW? Join Informatica and our partner, Microsoft, for a workshop to learn how you can quickly achieve analytics agility and scale with cloud data warehousing with Azure SQL Data Warehouse (DW). Using Informatica Enterprise Data Catalog and Intelligent Cloud Services (iPaaS) products, you will learn how to accelerate the migration of on-premises enterprise data warehouse (EDW) workloads to Azure.
