Today’s organizations are often looking to gain competitive advantage and transform themselves using data and analytics. In a recent TDWI survey, for example, 90% of respondents agreed that they will need to undergo some sort of digital transformation to compete in the future. Analytics and data science are at the heart of this transformation. We see that organizations that use newer, more sophisticated tooling are more likely to gain value and are better able to innovate than those that do not.
Some of these tools, including AI-related technologies such as machine learning and natural language processing, are in the early adoption phase. TDWI sees these tools being used across the enterprise for a range of use cases from proactive marketing and predictive maintenance to chatbots. These applications are bringing value to internal operational processes and to customers in new and exciting ways.
This TDWI Pulse Report discusses how some of these newer technologies—machine learning (ML), natural language processing (NLP), the Internet of Things (IoT), and blockchain—have the potential to help organizations innovate and digitally transform. It discusses the trends and highlights activities and uses. It also includes best practices for getting started.
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