Reltio listed among the top companies that matter in knowledge management in 2018 by KMWorld.
This session will discuss how organizing data correctly for offensive strategies like new revenue models, improved customer experience, or other initiatives results in clean, reliable data with a natural byproduct of defensive data strategy, with the ability to meet regulations such as GDPR, and to ensure compliant, secure data access.
Self-Learning Enterprises recognize that data is at the heart of every decision, and more data requires better organization. They organize data collected from various sources into a reliable data foundation. Use of Self-Learning Data Platform with built-in advanced analytics with Machine Learning and Artificial Intelligence promises discovery of new relationships, better insights, and intelligent recommendations to make better business decisions, with a firm focus on improving data and decision quality.
Attend DD18 and come see the sessions by DataRobot and Reltio which will feature Reltio Cloud, using Reltio IQ, feeding the DataRobot automated machine learning platform, with organized, reliable data in the form of consumer retail profile and transaction data sets, receiving back upsell IQ scores and recommendations, which are integrated back in context into individual consumer profiles.
Insights-driven businesses sync data, analytics, and optimization capabilities across their enterprise. They do this at unprecedented scale, unleashing a level of decision making and innovation that provides them with sustained differentiation in their markets. This report guides CIOs through Forrester's insights-driven business assessment to gauge how well their organizations perform the essential activities they need to be insights driven and helps them discover which activities they must strengthen in order to progress.
This complimentary report describes how bottling up analysis and delivering it in a report for business decision-makers is old thinking. Business execs need insights on demand. The data architecture landscape must compress or eliminate the wall between analysis and operations to speed up the business actions and decisions that depend on data.
Ramon Chen: "In fact, while the headlines will be mostly about AI, most enterprises will need to first focus on IA (information augmentation): getting their data organized in a manner that ensures it can be reconciled, refined, and related, to uncover relevant insights that support efficient business execution across all departments, while addressing the burden of regulatory compliance."
Ajay Khanna: "The cost is not only hundreds of millions of dollars in penalties, but also a tarnished corporate image. Today, consumers pay attention to an organization’s values and ethics. A proper data management strategy, along with technology for necessary risk identification using advanced analytics, is crucial in making sure organizations are compliant with current regulations and can quickly implement any future requirements."
Dharma Subramanian, Head of Applications, Reltio, discusses how enterprise data-driven applications, with a modern data management foundation, can provide reliable data, relevant insights and recommended actions, combined into a single cloud application, delivering both analytical intelligence and operational execution.
- 2018 will be the year of AI and Machine Learning
- Enterprise data organization, not management, will be the new rallying cry
- Data-driven organizations will expect to measure outcomes
- Multi-cloud will be the new normal
- Companies will execute offensive data-driven strategies, and should expect to get defence for free
Tarun Batra, CEO, LumenData, talks about how the movement towards artificial intelligence and machine learning relies on a Modern Data Management platform that is able to correlate large amounts of data, and provide a reliable data foundation for machine learning algorithms to deliver better business outcomes.