We are bringing you news and highlights from the Gartner Data & Analytics Summit, taking place this week in Orlando, Florida. Below is a collection of the key announcements and insights coming out of the conference. You can read the highlights here from Day 1 and Day 2.
On Day 3 from the conference, we are highlighting the cloud database management market, AI and the future of work and top trends in data science and machine learning. Be sure to check this page throughout the day for updates.
Presented by Donald Feinberg, Distinguished VP Analyst, Gartner
The database management market is undergoing a rapid transition, and cloud has become the platform of choice. In this session, Donald Feinberg, Distinguished VP Analyst at Gartner, discussed what is driving the data infrastructure transformation to new technologies and how database technologies are changing to support the shift to the cloud.
“Digital business demands a fully configurable data and analytics environment. Multiple technologies are supporting this shift, including hybrid cloud, multicloud and intercloud solutions.”
“The database management system (DBMS) market was worth $64.8 billion in 2020. Cloud database platform as a service (dbPaaS) growth drove 93.5% of the $9.4B DBMS market growth.”
“Cloud DBMS deployments offer numerous benefits, such as the creation of new financial models, rapid provisioning, increased elasticity and scalability and more agile development capabilities.”
“There are also some potential cons of cloud DBMS such as increased regulatory and governance requirements, data sovereignty issues, lack of control or fear of vendor lock-in.”
“While cloud DBMS is considered one market, there are seven key use-cases for this technology: traditional transactions, augmented transactions, stream/event processing, operational intelligence, data warehouse, logical data warehouse and data lake.”
“Gartner predicts that by 2023, 25% of organizations will embrace a data and analytics solution from a single cloud provider for reduced overall costs.”
“Data ecosystems will be the next wave of cloud refinement.”
Presented by Graham Waller, Distinguished VP Analyst, Gartner
AI is already transforming tasks and changing the makeup of job roles and responsibilities. In this presentation, Graham Waller, Distinguished VP Analyst at Gartner, discussed the impact of AI on jobs and explored practical steps that organizations must take as AI maturity increases to ensure the enterprise has the skills it needs in the future.
“Gartner believes that multiple future of work scenarios could emerge by 2035 based on how automation and peoples’ attitudes towards AI evolve.”
“In 2022, the reality is that we have a proliferation of ‘mini-bots' that can help to augment workers. As this trend continues, the half-life of tasks and human skills will shorten, while new skills will continue to emerge.”
“Occupations where AI-protective skills are of higher importance, such as marketing and legal operations, are less likely to be impacted by AI than roles like accountants or mechanics.”
“Unlock AI’s potential to transform work by shifting mindsets from jobs and occupations to skills and tasks. Then, create marketplaces to match work to skills and help people grow.”
“Activate your human-centric autonomous business flywheel to put people first while harnessing AI to transform work. Liberate employees from drudgery and continuously educate with AI augmented learning.”
Presented by Svetlana Sicular, VP Analyst at Gartner
The data science and machine learning (DSML) market has a relentless pace of innovation. In this session, Svetlana Sicular, VP Analyst at Gartner, examined some of the key trends influencing the DSML landscape, including transformers, Edge AI, AI engineering, MLOps, synthetic data and responsible AI tools.
Set the right expectations for the near-term and long-term future of DSML.
Have your long-term vision: enabling outcome-focused DSML. In the near-term, be intentional: aim for an MVP, skip a POC. This will get you closer to the valuable outcomes.
Do not overcomplicate solutions to deliver value. Use the best technique for a job to achieve efficiency, speed and simplicity. Leap to the state-of-the-art ML with pretrained models when it gives you a competitive differentiation.
Manage risk, support accountability and increase adoption with Responsible AI tools
Optimize for bottleneck skills: enable professional data scientists to do the highest value work.
Attract talent with new career opportunities: involve engineers in designing AI solutions, operational efficiencies and implementation strategies
Build a data foundation for AI. Approach data-centric DSML as an ongoing, high-priority investment.
Thank you for following along during the 2022 Data & Analytics Summit in Orlando!
Gartner, Inc. (NYSE: IT) delivers actionable, objective insight that drives smarter decisions and stronger performance on an organization’s mission-critical priorities. To learn more, visit gartner.com.
Meghan Rimol
Gartner
Meghan.Rimol@Gartner.com
