Take a deeper look at machine learning (ML), artificial intelligence (AI) and data science before heading to the conference with a selection of topic-specific content, including Smarter With Gartner articles, webinars and Gartner Predicts research. 

5 Ways Data Science and Machine Learning Impact Business

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.

Key Trends in AI and Machine Learning

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

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 motivatator, creating 2.3 million jobs while only eliminating 1.8 million jobs.

Related track on ML, data science and AI

Track E. Innovation: Break Through the Hype

The hype surrounding data science, ML, AI and emerging innovative technologies is daunting. Developing an understanding of the strategies for harnessing technologies in this space is vital for delivering business value. Standing still is not an option. This track reveals the more visionary and pioneering trends and aspects of data and analytics. It is designed to deliver innovative approaches and offers insight on the future and all-important business impact of these advanced data and analytics capabilities.

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