Data and analytics is one of the fastest-growing and highest-priority domains in the modern enterprise. The marketplace continues to be pushed forward by new tools and technologies, as well as increased adoption by organizations small and large. With revenue growth in the BI and data analytics space set to soar in the months and years ahead, it's no wonder that user conferences are becoming so popular. We do our best to provide you with the best resources, including our own buyer's guides and best practices. Sometimes though, you need extra exposure, the kind you can only get in person.
The shift to data-driven, digital business is compelling organizations to create and reinvent new roles, positions and duties that sharpen focus on data and analytics. Digital business transformation requires a new breed of "data executives." They include the chief data officer (CDO) and chief analytics officer (CAO), IT leader roles focused on data and analytics (e.g., business intelligence and master data management leaders) and other business roles. Their objective is to exploit data analytics to drive digital revenue and supporting operational improvements for IT, marketing, risk management, compliance, production and finance. According to Joe Bugajski, managing vice president of data and analytics research at Gartner, the rapid rise in the number of new executives demonstrates how companies are adapting to the market and technology trends in their shift to digital business.
Meaningful artificial intelligence (AI) deployments are just beginning to take place, according to Gartner, Inc. Gartner's 2018 CIO Agenda Survey shows that four percent of CIOs have implemented AI, while a further 46 percent have developed plans to do so. "Despite huge levels of interest in AI technologies, current implementations remain at quite low levels," said Whit Andrews, research vice president and distinguished analyst at Gartner. "However, there is potential for strong growth as CIOs begin piloting AI programs through a combination of buy, build and outsource efforts." As with most emerging or unfamiliar technologies, early adopters are facing many obstacles to the progress of AI in their organizations. Gartner analysts have identified the following four lessons that have emerged from these early AI projects.
Augmented analytics, continuous intelligence and explainable artificial intelligence (AI) are among the top trends in data and analytics technology that have significant disruptive potential over the next three to five years, according to Gartner, Inc. Speaking at the Gartner Data & Analytics Summit in Sydney today, Rita Sallam, research vice president at Gartner, said data and analytics leaders must examine the potential business impact of these trends and adjust business models and operations accordingly, or risk losing competitive advantage to those who do. "The story of data and analytics keeps evolving, from supporting internal decision making to continuous intelligence, information products and appointing chief data officers," she said. "It's critical to gain a deeper understanding of the technology trends fueling that evolving story and prioritize them based on business value." According to Donald Feinberg, vice president and distinguished analyst at Gartner, the very challenge created by digital disruption -- too much data -- has also created an unprecedented opportunity. The vast amount of data, together with increasingly powerful processing capabilities enabled by the cloud, means it is now possible to train and execute algorithms at the large scale necessary to finally realize the full potential of AI. "The size, complexity, distributed nature of data, speed of action and the continuous intelligence required by digital business means that rigid and centralized architectures and tools break down," Mr. Feinberg said.
Gartner, Inc. identified the top 10 data and analytics (D&A) technology trends for 2021 that can help organisations respond to change, uncertainty and the opportunities they bring in the next year. "The speed at which the COVID-19 pandemic disrupted organisations has forced D&A leaders to have tools and processes in place to identify key technology trends and prioritise those with the biggest potential impact on their competitive advantage," said Rita Sallam, distinguished research vice president at Gartner. D&A leaders should use the following 10 trends to determine investments that accelerate their capabilities to anticipate, shift and respond. The greater impact of artificial intelligence (AI) and machine learning (ML) requires businesses to apply new techniques for smarter, less data-hungry, ethically responsible and more resilient AI solutions. By deploying smarter, more responsible, scalable AI, organisations will leverage learning algorithms and interpretable systems into shorter time to value and higher business impact.