Gartner predicts exponential growth in graphics technology
As the size and complexity of data continues to increase, organizations will increasingly turn to graphics technology as a way to leverage their data to make decisions.
During the Oct. 5 keynote address for the Graph + AI Summit Fall 2021, a hybrid in-person and virtual conference hosted by graphics database provider TigerGraph, Gartner analyst Rita Sallam said the research firm and Council predicted that 80% of innovations in data and analytics will be achieved using graph technology by 2025.
Currently in 2021, only 10% of innovations in data and analytics are made with graphics technology.
At the heart of graphics technology are the relationships between data points.
Multiple data points
Data points stored in graph databases can connect to multiple other data points at any time while those stored in traditional relational databases can connect to only one other data point at a time. This ability to connect to multiple other data points, on the other hand, enables deeper, faster, and more precise data mining.
In addition, as the amount of data created and collected increases exponentially, traditional tools are outdated and their performance no longer meets the needs of many organizations, according to Sallam.
Graphics technology, however, is capable of handling the increasing demands of organizations.
“As the size, complexity and distributed nature of the data needed to contextualize complex decisions accelerates, rigid architectures and tools collapse,” said Sallam. “Agility and resilience are essential, and complexity pushes the limits of current approaches, but [complexity] is also leading to unprecedented cycles of rapid innovation in data and analytics. “
She added that the way to respond to the disruption of rigid architectures and tools is to embrace graph technology – and maximize its efficiency by combining it with augmented intelligence and the cloud.
“We believe there will be rapid adoption,” Sallam said.
Real world graph
To illustrate the capabilities of graph technology, Sallam discussed several seemingly unrelated real-world examples of organizations using graphs to solve problems.
First, she spoke about the importance and unpredictability of supply chain management during the COVID-19 pandemic. The balance between supply and demand for certain products has been constantly changing over the past 18 months, and manufacturers have had to react quickly in order to avoid too much or too little of a given product in a given region to at some point.
Next, Sallam noted that municipalities have had to deliver food to seniors unable to leave their homes during the pandemic. Cities had to determine the best routes to optimize delivery speed and transportation resources.
Finally, she mentioned monitoring the impact of climate change on penguins to determine intervention strategies. Environmentalists need to know the movement of individual penguins, migration and mating patterns, and how it all relates to weather patterns and changes in their ecosystem.
“They all tap into very complex and varied combinations of data, including video, text, audio and transactions as well as the micro-behavior of employees, customers and, in one case, penguins,” said Sallam. “Everyone needs to quickly make connections between these new and complex combinations of data to solve a pressing problem. And all, in fact, are innovating using graph technology and AI. “
The need to quickly establish connections between data points and make data-driven decisions has never been greater than in the past 18 months.
Graphics technology and the pandemic
The COVID-19 pandemic erased what was considered normal before March 2020. Organizations of all kinds needed to respond quickly.
Health organizations needed to prepare for and deal with outbreaks of COVID-19 infections. Governments were to take measures such as issuing stay-at-home warrants and then managing the reopening of local economies. And businesses have had to find ways to survive amid potentially large revenue drops.
Many of the businesses that have managed to survive are still grappling with the effects of the pandemic. Some industries have normalized to some extent and some organizations have flourished, but as cases continue to fluctuate and new variants of the coronavirus emerge, others, such as hospitality and travel, continue to face a significant decrease in demand from pre-pandemic levels.
While only a small percentage of organizations used graphics technology at the start of the pandemic, and those now using graphics technology to inform the decision-making process remain a small minority, the analysis speed enabled by graphics technology will lead to a significant increase in adoption of graphics, according to Sallam.
Rising graph for innovation and decisions
In fact, beyond the 70% increase in data and analytics innovations powered by graphics technology, Gartner predicts it will take place by 2025, Sallam added that Gartner predicts that by 2023, graphics technology will play a role in the decision-making process for 30% of organizations. worldwide.
“Data, analytics and AI have never been more critical,” she said. “By taking into account more and more factors, stakeholders and data sources, decisions are simply more complex and we have to [take those into account] faster than ever. What is needed to be successful in the face of this unimaginable set of market changes is the ability to take advantage of the increased speed and scale of analysis. “
Already, organizations are using graph technology in a variety of ways, according to Sallam.
Beyond fostering a better understanding of customers and helping uncover fraud, it is now used in industries as diverse as agriculture to optimize crop yields, law enforcement and the Department of Homeland. Security to track suspects, and healthcare to track and mitigate COVID-19.
“Most of the business questions we have and the decisions we need to make require an understanding of the relationships between objects – people, places, behaviors – and graphics help highlight these important relationships,” said Sallam. “Graph plus data and analytics and AI in the cloud make innovative use cases at scale possible.”