Gartner Data Quotes

For eight consecutive years, Microsoft has been positioned as a Leader in the Gartner Magic Quadrant for Business Intelligence and Analytics Platforms.

A 2014 conference on hacking in Las Vegas. The private sector spent $665 million on data loss prevention last year, according to the technology research firm Gartner.

According to a recent report from the research firm Gartner Inc., “through 2017, 60% of big-data projects will fail to go beyond piloting and experimentation and will be abandoned.” It turns out that faith in Hadoop has outpaced the technology’s ability to bring big data into the mainstream. Demand for Hadoop is on the rise, yet customers have found that a technology built to index the Web may not be sufficient for corporate big-data tasks, said Nick Heudecker, research director for information management at Gartner. It can take a lot of work to combine data stored in legacy repositories with the data that’s stored in Hadoop. And while Hadoop can be much faster than traditional databases for some purposes, it often isn’t fast enough to respond to queries immediately or to work on incoming information in real time. Satisfying requirements for data security and governance also poses a challenge.

Very few companies know how to exploit the data already embedded in their core operating systems. THE SOLUTION Evidence-based, data-driven decision making provides the answer, but it requires a big cultural shift and four changes in how operations are managed. Who Benefits from Big Data? 496 words Big data is big business. The IT research firm Gartner estimates that total software, social media, and IT services spending related to big data and analytics topped $28 billion worldwide in 2012. All estimates predict rapid growth. In addition to vendors, at least three types of organizations are harvesting value from big data.

Here are a few examples of different levels of risks, ordered from high to low: If you don’t do this, competitors with AI can make you obsolete. If AI poses a major existential threat to your business, incorporating AI must have the highest priority. In the 2023 Gartner study, 7% cited business continuity as their reason for embracing AI. This is more common for businesses involving document processing and information aggregation, such as financial analysis, insurance, and data processing. This is also common for creative work such as advertising, web design, and image production. You can refer to the 2023 OpenAI study, “GPTs are GPTs” (Eloundou et al., 2023), to see how industries rank in their exposure to AI. If you don’t do this, you’ll miss opportunities to boost profits and productivity. Most companies embrace AI for the opportunities it brings. AI can help in most, if not all, business operations. AI can make user acquisition cheaper by crafting more effective copywrites, product descriptions, and promotional visual content. AI can increase user retention by improving customer support and customizing user experience. AI can also help with sales lead generation, internal communication, market research, and competitor tracking. You’re unsure where AI will fit into your business yet, but you don’t want to be left behind. While a company shouldn’t chase every hype train, many have failed by waiting too long to take the leap (cue Kodak, Blockbuster, and BlackBerry). Investing resources into understanding how a new, transformational technology can impact your business isn’t a bad idea if you can afford it. At bigger companies, this can be part of the R&D department.