As we approach the end of the year and companies turn their attention to 2020 budgets, it’s only natural that there will be renewed interest in evaluating how and to what extent artificial intelligence (AI), blockchain, and advanced analytics applications are driving organizational change. With that in mind, let’s take a look at some key trends from recent Gartner Hype Cycle reports to determine if they should factor into your planning for next year.

  • Relationship analytics: According to the Hype Cycle for Analytics and Business Intelligence, “Many of the highest value applications are focused on discovery, where the questions to be answered are not known in advance. For example, relationship analytics based on graph techniques can identify illegal behavior and criminal activity.” If you plan to avail of this technology, it’s critical to have a strong business intelligence (BI) and analytics foundation in place first. Relationship analytics is all about analyzing unstructured, continually changing data to obtain deeper insights, but this is only possible with a modern, highly scalable platform.
  • Intelligent applications: Gartner’s Hype Cycle for Artificial Intelligence sees organizational interest in AI increasingly focused on embedding this technology into enterprise applications as well as introducing AI platform capabilities. As this interest increases, the firm expects that software providers will face a growing demand to demonstrate their plans for “incorporating AI to add business value in the form of advanced analytics, intelligent processes, and advanced user experiences.”
  • Advanced AI and analytics: According to the Hype Cycle for Emerging Technologies, advances in data science are “leading to new capabilities, for example, transfer learning, which uses previously trained machine learning models as advanced starting points for new technology.” This is bringing about new possibilities for advanced analytics, enabling organizations to automate the examination of data or content with greater sophistication than that afforded by traditional BI technology.
  • Operationalizing and scaling: As the above and other Hype Cycle trends mature, there is a growing need to operationalize and scale analytics strategies. According to the Hype Cycle for Analytics and BI, “More people want to engage with data, and more interactions and processes need analytics in order to automate and scale.” As such, when considering IT investments it’s important that tech leaders also evaluate whether the technology can be deployed to effectively support the data needs of every line-of-business.

The above are just a sampling of the trends Gartner expects to see playing a more prominent role in the months ahead. Is your organization prepared to harness them?