... Access Insights Already a Gartner client? Adoption of blockchain and digital currency is now mainstream while transactions get safer and financial value explodes. Enterprises are under pressure to prepare so they don’t fall behind. Application leaders should rely on packaged services to support use ca ...
Analyst(s): Jeremy D'Hoinne | Avivah Litan | Whit Andrews | Adrian Leow | Fabio Chesini
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... Artificial intelligence, marketplaces and IoT commerce are influencing both customers and digital commerce strategies. Application leaders responsible for digital commerce technologies must develop strategies and implement technologies to manage emerging approaches for successful digital commerce. An ...
Analyst(s): Mike Lowndes | Christina Klock | Jason Daigler | Sandy Shen | Penny Gillespie | Gene Alvarez
... APIs are ubiquitous in modern integration and application architecture and the most successful APIs are well managed. Application technical professionals should use this research to guide their evaluation of API management solutions to publish APIs for controlled, governed consumption. Overview Proble ...
Analyst(s): Matt Brasier | Steve Deng | Gary Olliffe | Kevin Matheny
... Clinical data from EHRs supports care decisions and reimbursement, yet integration between payers and providers is far from seamless. U.S. healthcare payer and provider CIOs must prioritize CDI to improve health and financial outcomes. Analysis CIOs Are Experiencing Increased Urgency to Implement and ...
Analyst(s): Jeff Cribbs | Barry Runyon | Sachin Dev | Bryan Cole | Mandi Bishop
... Access Insights Already a Gartner client? Enterprise architecture and technology innovation leaders are tasked with discerning the difference between the reality and the hype of disruptive technology trends. This research presents a model for identifying the technology trends they need to watch and po ...
... AI leaders often lead and shape the enterprise’s response in tackling the challenges that undermine the trust and efficacy of AI models, such as data biases and algorithmic fallibility. There are six foundational AI ethics principles to develop and run AI in your company. Overview Introduction Analysis ...
Analyst(s): Svetlana Sicular | Jim Hare | Frank Buytendijk | Erick Brethenoux
... Data management is challenged by limited resources and growing complexity, risking misalignment with business goals and stakeholder priorities. This research examines strategies for D&A leaders to align their practices with business values and ensure successful execution of data initiatives. Overview ...
... Access Research Already a Gartner client? Budget constraints, uncertainty and generative AI are key developments for this Hype Cycle. Security and risk management leaders should evaluate and adopt suitable technologies to help address these challenges and boost efficiency. Analysis Definition: Why This I ...
... Access Research Already a Gartner client? DLP is a mature market, but modern organizations are exploring comprehensive solutions that go beyond traditional DLP methods. Security and risk management leaders should focus on user-centric, adaptive risk-based data security techniques to strengthen the sec ...
Analyst(s): Andrew Bales | Anson Chen | Franz Hinner | Paulo Aresta | Brent Predovich