Gartner Data & Analytics Summit 2020

Organizations now employ artificial intelligence (AI) in data-rich aspects of their operations. AI applies advanced analysis and logic-based techniques, including machine learning, to interpret events, support and automate decisions, and take actions. This allows companies to design and deploy market-making and market-leading data and analytics strategies that are sustainable and scale with business ambitions. As this transformative technology has gone from speculative to operational, enterprises need to better understand and assess its markets and organizational pitfalls to drive data and analytics success.

Join us at Gartner Data & Analytics Summit to take a deeper look at machine learning, artificial intelligence and data science. Explore a selection of Gartner content you can expect to explore further including smarter with Gartner articles, webinars and predicts. 

 

Explore Gartner Content

Data science and machine learning are having profound impacts on business, and are rapidly becoming critical for differentiation and sometimes survival. Being able to quickly categorize the potential impacts into one of five categories and communicate their potential will help data and analytics leaders drive better results.

Gartner Senior Director Analyst Erick Brethenoux explains the five categories of impact, and provides real-world examples taken from the worlds of government, sports and business.

Read about the five categories here.

No trend in the past 10 to 15 years has created as much buzz as AI and ML. During this webinar, we discuss the latest trends in how machine learning drives AI, what is enabling AI, where the cutting edge is (including examples), and what current technology's limitations are. We will also cover the complexities involved when organizations are trying to create their own ML/AI application from scratch and how to overcome them.

Watch On-Demand Webinar Here

“AI will automate everything and put people out of work.” “AI is a science-fiction technology.” “Robots will take over the world.” The hype around artificial intelligence (AI) has produced many myths, in mainstream media, in board meetings and across organizations. Some worry about an “almighty” AI that will take over the world, and some think that AI is nothing more than a buzzword. The truth is somewhere in the middle.

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More organizations are adopting artificial intelligence (AI). Fourteen percent of global CIOs have already deployed AI and 48% will deploy it in 2019 or by 2020, according to Gartner’s 2019 CIO Agenda survey.

“While adoption is increasing, some organizations are still questioning the business impact and benefits. Today, we witness three barriers to the adoption of AI,” says Brian Manusama, Senior Director Analyst, Gartner.

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Gartner Predicts

  • By 2024, a scarcity of data scientists will no longer hinder the adoption of data science and machine learning in organizations.
  • By 2020, 20% of citizen in developed nations will use AI assistants to help them with an array of everyday, operations tasks.
  • By 2022, enterprise AI projects with built-in transparency will be 100% more likely to get funding from CIOs.
  • In 2020, AI becomes a positive net job motivated, creating 2.3 million jobs while only eliminating 1.8 million jobs.

Want to dig deeper?

Gartner Data & Analytics Summit 2020 has a dedicated track: 

Emerging and Disruptive Technologies: AI, Data Science, Machine Learning and Beyond

Understand technology trends, what’s real, what’s hype, skills development and talent recruiting needed for successful deployment and business impact.