Machine learning helps improve the data consistency, accuracy, and manageability for better data quality.
Ajay Khanna, VP of Marketing, Reltio lets us in on the strategic advantage of a self-learning data management platform and the barriers marketing leaders face in optimizing outcomes from their customer data. Ajay has previously held senior positions at Veeva Systems, Oracle and other software companies including KANA, Progress and Amdocs. He holds an MBA in marketing and finance from Santa Clara University.
“GDPR is simply echoing the skepticism that exists around the use of the AI and ML blackbox, which places complete trust and autonomous decision making on data management and insights. Even experienced IT professionals whose careers are focused on automation and reducing manual effort have conveyed that they feel more comfortable being able to see suggestions and a pattern of consistent success before accepting AI/ML-generated actions unilaterally with no intervention,” said Ramon Chen, CPO at Reltio.
AI and ML can be used in multiple ways to harness the power of data, and each brings its own qualities and applications. It can be overwhelming to choose, with huge possibilities of implementation approaches. Read the article and learn the six effective ways to attain quantifiable benefits from AI and ML.
In our digital economy, the most successful companies know how to harness their data and learn from it. Be it Google, Airbnb or Amazon, the learners in the digital economy are leading the industry with new revenue models, innovative business processes and more effective customer engagement. Get an inside look into how to evolve into a Self-Learning Enterprise to improve your business.
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."